conference hosted by MR noon conference connects the global radiology community through free live educational webinars that are accessible for all and is an opportunity to learn alongside top radiologists from around the world. We encourage you to ask questions and share ideas to help the community learn and grow. You can access the recording of today's conference and previous noon conferences by creating a free MRI online account. You can also sign up for a free trial of our premium membership to get access to hundreds of case-based micro learning courses across all key radiology subspecialties. Today we are honored to welcome Dr. Susie Bash for a lecture on critical updates in the dynamic landscape of Alzheimer's disease and dementia imaging. Dr. Bash is a neuro radiologist and medical director at RadNet. Prior to this she was on the faculty at UCLA as an assistant professor of neuro radiology after completing a two-year neuro radiology fellowship in residency also at UCLA. Dr. Bash's passion and interest lie in artificial intelligence applications and advanced neuro imaging which add patient-centric value and quality. She's a recurring guest on TV, radio and podcasts and is actively involved in AI clinical trials, peer-reviewed publications and AI-related educational talks and webinars. Dr. Bash serves on the medical advisory board of several AI companies and also serves on the editorial board in the AI section for applied radiology and is a frequent contributing author to this journal. At the end of the lecture please join Dr. Bash in a Q&A session where she will address questions you may have on today's topic. Please remember to use the Q&A feature to submit your questions so we can get to as many as we can before our time is up. With that we're ready to begin today's lecture. Dr. Bash please take it from here. Hi my name is Susie Bash. I'm a neuro radiologist at RadNet. Thank you so much for joining us. Today we're going to talk about critical updates in the dynamic landscape of Alzheimer's disease and dementia imaging. These are some disclosures. So first we'll focus on sort of an introduction to dementia. Then we'll talk about dementia imaging, then disease modifying therapy and regulatory updates. And then we'll move into ARIA which stands for amyloid-related imaging abnormalities. And we'll actually do some ARIA training with clinical cases so that after this webinar you'll feel comfortable reading ARIA cases. And then we'll talk a little bit about the future of dementia and then get into some dementia clinical cases. So there are a lot of different kinds of dementia. Alzheimer's disease, vascular dementia, dementia with Lewy bodies, frontotemporal dementia, logopenic progressive aphasia, traumatic brain injuries, cerebral amyloid angiopathy and CAA related inflammation as well as normal pressure hydrocephalus. We won't have time to talk about all these today but we're going to primarily focus on Alzheimer's disease. And the reason we talk so much about Alzheimer's disease is it makes up the majority of the causes of dementia with over 60 percent by autopsy. So there are 6.7 million Americans that are suffering from Alzheimer's disease. It's a big population issue costing our nation $355 billion in 2021 and that will rise into the trillions very shortly.  Death from heart disease is down 7 percent since the year 2000 but death from Alzheimer's disease is up 145 percent. And this is something that really progresses as you get older so it doubles in frequency every five years after the age of 60. Now Alzheimer's disease has two major hallmarks, beta amyloid plaque which is extracellular and can be directly imaged with amyloid pet and neurofibrillary tangles which is intracellular tau most notably in the hippocampi and that can be imaged with tau pet. Now amyloid pet study can be positive at the preclinical stage of Alzheimer's disease in fact up to 20 years before the patient is symptomatic. Amyloid plaque by deposition in disease you'll tend to see a lot of it with Alzheimer's disease. You can see some with dementia with Lewy bodies but you shouldn't expect to see any amyloid deposition in front of temporal dementia. This is an Alzheimer's cell here with plaque burden and neurofibrillary tangles compared to a healthy looking cell. This is a positive amyloid pet here and this is a positive tau pet. Beta amyloid 140 and 142 peptides are produced from amyloid precursor protein. The beta amyloid 42 is the main peptide associated with Alzheimer's disease and beta amyloid 40 is the main peptide associated with cerebral amyloid angiopathy. These beta amyloid peptides are transported across the blood brain barrier and then degraded by specific proteins and enzymes such as apolipoprotein E and MMPS. The accumulation of these amyloid fibrils in the walls of small to medium size arterial blood vessels and capillaries in the cortex really are thought to result from a disturbance of any of these time points either from increased production, impaired transport, or impaired degradation of the beta amyloid peptides. This aberrant pathway really helps explain cerebral amyloid angiopathy which is known to cause spontaneous interest cerebral hemorrhages, cognitive decline, and transient focal neurologic events in addition to Alzheimer's disease. Now we're now starting to realize the importance of the glymphatic system and the role it plays in the clearance of beta amyloid plaques and other toxins. So the glymphatic system denotes perivascular pathways whereby CSF enters the brain prankoma via the peri arterial space and then mixes with interstitial fluid. This drives clearance of interstitial metabolic solutes and wastes such as beta amyloid plaque which then exit the brain via the paravenous pathway to drain into the lymphatic system. Now these astrocytic aquaporn for water channels in both the arteries and the veins play an important role in reducing the resistance of CSF to movement between the perivascular spaces and the interstitium. Now unfortunately as we age this glymphatic convective drainage pathway and the clearance of waste products such as beta amyloid plaque will slow down. So reduced waste clearance has not just been associated with Alzheimer's disease but also with traumatic brain injury, hemorrhage, hypertension, strokes, and microvascular ischemic disease. Interestingly when we sleep these interstitial spaces increase in size allowing more effective clearance of the beta amyloid plaque so good sleep patterns actually are thought to play a protective role in Alzheimer's disease. Tau is a protein that helps form and strengthen microtubules which transport nutrients along the axon. Now in the disease brain there's an imbalance of protein kinases and phosphatases which cause tau to become abnormally hyperphospholated resulting in the disassembly of these microtubules and this impairs cellular signaling so free tau molecules then aggregate into insoluble paired helical filaments and straight filaments as well which accumulate in cells as neurofibrillary tangles in Alzheimer's disease and other tau opathies. So tau opathies would include Alzheimer's disease, behavioral variant frontal temporal dementia, chronic traumatic encephalopathy, Downs, progressive super nuclear palsy, and cortical basilar degeneration. There are two main types of Alzheimer's disease early onset which is familiar that's less than 5% much more rare and late onset which is sporadic and that's 95%. Non-modifiable risk factors include age, gender, so it's more common in women probably because women live longer and also genetics. Apo E4 is the most common genetic risk factor associated with Alzheimer's disease. Now modifiable risk factors include hypertension, diabetes, smoking, excessive alcohol use, obesity, poor diet and poor exercise, lack of cognitive engagement in social isolation, depression, traumatic brain injury, and then as we mentioned before sleep deprivation due to the glymphatic system. So Apo lipoproteins play a role in lipid and cholesterol homeostasis in the blood. There are three Apo E gene alleles E2, E3 and E4 of which E3 is by far the most common, greater than 50% of the population has this. Apo E4 however is the strongest genetic risk factor for Alzheimer's disease because it's involved in impaired clearance of that beta amyloid plat. So 25% of the population carries one Apo E4 allele and so they're called heterozygous and they carry a three times risk of Alzheimer's disease. But two to three percent of the population carries two Apo E4 alleles so they're homozygous and have a 12 times risk of developing Alzheimer's disease. Now Apo E4 is a risk factor not just for Alzheimer's but also for cerebral amyloid angiopathy, CAA related inflammation, dementia with Lewy body, tauopathy, microvascular schemic disease and vascular dementia, multiple sclerosis, poor outcome following traumatic brain injury and also aria. Now when it comes to dementia imaging, typically a patient will present with memory loss and undergo cognitive testing often by the neurologist and then an MRI is typically ordered in part to rule out other pathology that could be causing the memory loss. So for example posterior cerebral artery strokes can often infarct the hippocampi and result in some memory loss so can heavy burdens of microvascular schemic disease. Sometimes quantitative volumetric imaging is done. We actually do this pretty routinely in my clinical practice. We've been doing it for about 17 years now. We find this very helpful in the evaluation of dementia and then if there remains clinical ambiguity, sometimes a PET study is ordered. FTG PET is by far the most common PET study ordered and this is reimbursable by CMS. Amyloid PET is hopefully right on the brink of being reimbursed right now which we'll talk about in a minute and then TauPET which is so far not reimbursable but can be used in the evaluation of dementia. This is a positive FTG PET. This is the PET MR fusion and these are both PET CT fusion images and you see cortical hypometabolism in the bilateral temporal lobes here and this patient had Alzheimer's disease. This was statistically significant when I ran it through the MIMNUR analysis software. Now this is amyloid PET just for example here this is a negative amyloid where you see a tree and branch type pattern and no binding of the amyloid tracer to the cortex as opposed to a positive PET where we have diffuse binding of the tracer throughout the cortex. This is color fusion right here. When I take a volumetric imaging identifies and labels anatomic structures in the vein and then quantifies the volume of those brain structures and compares that to an age and gender matched normative database and this provides volumetric tracking to assess for rate of change over time. There are different companies that perform quantitative volumetric imaging that was one here is another this is another one here and another here and then finally this is one that's in development and there's different reports that these companies produce that but basically they track different pertinent areas of the brain and compare that to a large normative database. Anything in the pink zone here would be more than two standard deviations outside of the mean so you get an idea of what is important and statistically significant for that patient's age. This is a triage brain atrophy report which is again broken down by areas of the brain. This is another report from a different company that's also tracking the volumes over time and comparing to a normative database and this is what another report looks like here. Now with when it comes to PET imaging again we tend to use amyloid and TAL can be used and FDG PET and this is these are what these studies look like in the normal scenario and here's abnormal this is a positive amyloid PET a positive TAL PET and this is a positive FDG PET this patient happens to have Alzheimer's disease. Now FDG PET patterns would look different across different diseases Alzheimer's would be temporal pridal and posterior cingulate gyrus, frontal temporal would as it sounds tend to be frontal lobes and temporal lobes. Dimensional Lewy bodies can look a lot like Alzheimer's disease or sort of a diffuse pattern but will often involve the occipital lobes as well. Now a TAL PET unlike amyloid PET TAL PET accurately predicts the location of future atrophy so here is an amyloid PET where we have diffuse binding but this is a TAL PET where TAL accumulates in the areas that have atrophy first so TAL so this is a TAL here and this is atrophy so TAL is actually a better predictor of the timing of imminent cognitive decline. Now like just talked about with these important regulatory updates this is a very exciting time for dementia following the FDA's decision on July 6 2023 to grant traditional approval of lekembi the generic name is lecanomab. CMS then immediately affirmed that they will cover this medication broadly so this is a very pivotal step that really is allowing means for drug access to the millions of Americans that are suffering from Alzheimer's disease and the only criteria for CMS coverage is you have to have Medicare you have to have mild cognitive impairment or mild Alzheimer's disease which must be documented as evidence of amyloid plaque and then you you also have to join a registry which your neurologist will help take care of for you it's on the CMS website and it's a very simple registry for your neurologist to sign you up in individuals with original Medicare will pay the standard 20% co-insurance of Medicare approved amount of lekembi once they meet their part being deductible but Medicare will cover the other 80% and actually the largest health system in the United States the VA started covering this drug even before CMS. CMS was waiting for the FDA can traditional approval before they decided to make the decision to cover so that is very exciting now there are different disease modifying drugs that you have heard about so far at a helm is really really a historical at this point because a denanomab and lecanomab have really outperformed at a helm but these are all IgG monoclonal antibodies at a helm and received accelerated approval on June 2021 denanomab has not yet achieved approval yet and lecanomab received accelerated in January 2023 and a can of have never received traditional FDA approval denanomab hasn't yet but will file soon for this and lecanomab received this just on July 6 2023 so this is the first disease modifying drug to have traditional approval now all three of these drugs did a great job at their secondary end points which is to clear beta amyloid plaque from the brain but when it comes to the primary endpoint which is slowing the rate of cognitive decline at a helm did not do as well so only in one trial they had 23% improvement but not in the other trial denanomab actually had 35% slowing and cognitive decline their results of their trial were just recently released in July 2023 and lecanomab had 27% slowing of cognitive decline now the price tag for lecanomab is big at 26.5k but you have to realize you know also that this is a lethal disease and to be able to give time back to our loved ones by slowing their rate of cognitive decline is a big deal and again CMS is now covering as is the VA and then private insurers tend to follow so in the clarity ad phase 3 trial which was published in the new england journal of medicine on january 5 2023 lecanomab met the primary efficacy endpoint by slowing the rate of cognitive decline by 27% over an 18 month period based on the clinical dementia rating sum of boxes now in the trailblazer alls 2 phase 3 trial which was published in jama on july 17 2023 so just published denanomab met the primary efficacy endpoint by slowing the rate of cognitive decline by 35% at 18 months additionally nearly half so 47% of the denanomab participants had no disease progression at one year with the cdr sp rating scale so that is a really big deal patients with less advanced disease so patients that had lower medium tau burden and i'll perform those with more advanced disease that had higher tau burden and that is just confirming that that earlier the treatment is initiated the higher the clinical benefit uh which is why the um the labels are suggesting this at the early stages of disease so again it's important to note lecanomab is the only one that's approved by traditional approval um to treat this early Alzheimer's disease and approximately 1.5 million americans will be candidate for on-label therapy with lecanomab so again 6.7 million americans have it but when you just look at the early stage disease we're probably talking about 1.5 million now numerous other trials are also ongoing including disease prevention trials such as the dominantly inherited Alzheimer's network trials and then there are several trials that include pharmacologic targeting and monitoring of other disease biomarkers for Alzheimer's such as neurofibrillary tangles which can be imaged again with tau pet now the national institute of aging is currently funding more than 450 active clinical dementia trials so there is a lot of activity in this space uh this is looking at the primary endpoint for the clarity trial and here you can see lecanomab here slowing the rate of cognitive decline compared to the placebo and then if we look at the secondary endpoint which is clearance of the beta amyloid plaque there's just no comparison here's placebo here no change a slight increase in plaque whereas look at how well lecanomab is doing in dropping the amount of amyloid plaque in the brain so again here's placebo on an amyloid pet looks the same a year later but the treated limb is really doing a good job of clearing that plaque now the efficacy of clearing the beta amyloid plaque is dose dependent the higher you go up in dose the better job it does here's 10 niggs per kig and this is the uh it's you can see that much more plaque is cleared at the higher dose but the problem is is uh like most medications you know there can be side effects so with disease modifying therapy and Alzheimer's disease with using monoclonal antibodies the side effect is aria aria e stands for edema or socal effusion that can develop so here's edema that's developed and here's a socal effusion and aria h h stands for hemorrhage um uh represents micro hemorrhages that can occur in the brain so you see these tiny little dots on gre or superficial cirrhosis now socal effusions uh with aria are thought to represent a leakage of protonaceous fluid from the meningeal vessels and the aria edema is thought to represent leakage of protonaceous fluid into that prankimal interstitial compartment um if we look here across the disease modifying therapies you can see that the incidence of aria is much higher with adiome uh with lekembi it's the lowest it's 21 percent overall um you can see that the aria e is about half of that for donanumab um and the symptomatic aria which is the one that we really care about again much higher for adiome um with donanumab it's six percent and then less than three percent for uh lekanumab so about half that of donanumab um symptoms of aria can be varied but it's often can be headache confusion dizziness nausea vomiting or visual disturbance and the risk factors include that initial treatment period so when you first go on treatment at first three or four months you're at higher risk for developing aria also the higher doses are associated with an increased incidence of aria and if you're in apo e4 carrier uh you have an increase incidence and so um the label lekanumab label actually recommends that you get tested for apo e4 um just so that you can go over your risk uh with your neurologist and have a decent idea of what your risk of developing aria is um so right now patients are paying out of pocket for that genetic test and you know maybe in the future that will be covered but that's why not everyone is getting it but it is useful if you do get it um other risk factors for aria would be cerebral amyloid angiopathy and then if you are on anti coagulation um you are also at a greater risk of uh bleeding uh aria e and apo e4 carriers uh occurs in five percent of heterogeneous carriers and 50 percent of homozygous carriers again why it's useful to get the test um prior to starting medication but again the good news is that symptomatic aria which is what we really care about is in less than three percent and the aria e nearly always resolves within one year in fact typically within uh four months but but usually always within a year so again 97 percent are asymptomatic here's a look at aria e um temporal change over time so this is the initial development of aria e it it sort of got worse and then it started getting better and by 300 days had resolved here's another case here's the baseline MRI uh this is post dosing the patient developed aria e but on the post dosing follow-up which is typically the follow-ups are typically done at one month it had completely resolved and the patient could resume treatment here's another patient here's their baseline they developed aria e post dosing it got a little worse at the one month stage and then by the two months it had gotten better but uh this is the g re here you notice here at the post dosing they developed some aria h just two micro hammers just very mild that got a little worse over time and was even worse again at that second follow-up study so let's talk about how you grade aria there's mild moderate and severe and there's specific criteria for this so aria e grading is all about the size pay close attention to this slide because we're going to go through some cases and i'd like you to be able to choose what you think the grading is so mild if for aria e is five centimeters and monofocal moderate is uh less than five centimeters and multifocal or between five and 10 centimeters and that can be either mono or multifocal then severe is greater than 10 centimeters and again can be mono or multifocal so once you get into multifocal you are by definition moderate or severe in degree now aria h unlike aria e is all about the count so it's not about the size it's about the count so micro hammers is if you have less than or equal to four you're considered mild aria h if you have between five and nine you're moderate and if you have more than 10 or equal to 10 you're severe now superficial citerosis would be mild as one focal area moderate is two and severe is greater than two so you need to follow along the soul side and see if it's all one area of involvement now let's talk about there let's look at some clinical cases where we can go over grading so what i'd like you to do is as you're looking at this think in your mind what you think the grade is so here's baseline and here's post dosing we see one area here of aria e development it looks like it is less than five centimeters in size so this is mild it's monofocal and it's less than five centimeters here's another case you have three areas of involvement on post dosing so that would put you into the moderate category because it's multifocal here's a patient at baseline and here's post dosing and you see here there's extensive involvement in fact you might be wondering do they have a big stroke which is why dwy is a required sequence for aria screening and no this is not a stroke this is just shine through artifact so this is a severe grading here here's another patient here's the baseline and here's post dosing we see a little area here of a so-called fusion and another little area here so this is moderate because it's multifocal and so we're in the moderate category it can't be mild here's another patient here and we see multiple so-called fusion here on both sides of the brain so this is going to be a severe aria e case and here is again baseline here's post dosing we have this area of so-called involvement and this is actually a mild case because it is only involving one area of the brain here and it is less than five centimeters in size now here's another case here where it's a little bit larger it looks like it's probably just under 10 centimeters in size for so-called effusion so this is moderate in degree here is a baseline here's post dosing on g re and we see some micro hemorrhage here and here's baseline on the flare and here's post dosing on the flare this is mild for aria age because there's less than five foci and it's also mild for aria e as well now here's a g re here post dosing you see multiple little foci if you count these these are actually i don't know if you can see it but there's actually five little foci here the number matters and even though it's small you have to count the individual a little foci here's on flare where we see one area so this would be moderate aria age because we have five foci here and mild for aria e because we just have one small area here's another patient baseline and then the post dosing g re we clearly have over you know 10 foci here and on the baseline flare and then the post flare you see an extensive area involvement so this is severe aria age and severe aria e here's another this was actually post dosing and this is all on the same patient multiple little foci of micro hemorrhage so that's severe aria age here's another case here this is the baseline here's post dosing where we see superficial cirrhosis here and then we have two foci of micro hemorrhage these are actually just vessels that's not hemorrhage and so how would you grade this this is actually mild aria age which you might be surprised about but it's because we have just one focal area of superficial cirrhosis if you follow these down these are all contiguous sulci and we just have two little dots of micro hemorrhage so we're mild in category for micro hemorrhage and we're mild in category for superficial cirrhosis so it doesn't upgrade our call the call stays as mild here is the baseline here is post dosing we have superficial cirrhosis here and a second area of superficial cirrhosis again it's important to make sure you know if you're in the sulcus or if you're in the brain prankama this was judged to be in the sulcus so it is moderate in degree because we have two areas of superficial cirrhosis by the way if this had been in the brain prankama then we would have downgraded to a mild because we have if we would have called it one micro hemorrhage in one area of superficial cirrhosis but because this was judged to be in the small sulcus here we are in the moderate category now here's a baseline here post dosing one and two months again you see it getting worse over time but let's try to work on what we would call the grading here's the flare here's the GRE we see a two foci here some more foci here and even more foci here so this is a severe aria e at this day here and then resolved aria e for the aria h we're at mild for this one severe for this one and severe for this one now let's talk about aria e mimics and pitfalls this is very important to note in this patient this was actually a suboptimal protocol where we're really sort of getting some artifact here in the posterior occipital lobes when this was that we actually weren't sure about this had the patient repeat with optimal protocol parameters and this went away so that was just artifact now here this patient was scanned initially a baseline and this vendor they came back and were scanned on a different vendor and now we see this and the question is is that development of aria e so what they actually did was put the patient back on this vendor scanner and it looked just like this so this was just artifact and it was not development of aria e here is a patient here's the baseline and then you see here on the follow-up study you see all this sort of so called flare hyperintensity but it turned out the patient was on supplemental oxygen they patient they then took the patient off supplemental oxygen repeated the study and it looked exactly like the prior exam so that was a fake ad it wasn't really an aria e case now this is a patient here this is the baseline study and then you see this very abnormal looking study but they felt that the parameters might not have been optimal there was poor c sf suppression they actually repeated it with optimal parameters and it all went away so this actually turned out to be a fake out but that would be very hard to know that but that's what it turned out to be in this case another thing to be aware of on is you know metal artifacts so this is the initial exam and this exam the patient had their hearing aid in this is the g re and this is the flare but on the flare you can see there's all this abnormal signal intensity but when you look at the g re you can clearly see it's artifact from the hearing aid and then this was a patient that this was their post dosing they did develop a small area of re so mild aria e and the question is was this re as well which is why it's always mandatory that we do dw y when we're doing therapeutic imaging because this turned out to be an acute infarct then you know the dosing was originally suspended but the re actually just went away and that little focus stayed because that's just temporal evolution of the infarct now when we talk about re h these are some pitfalls that you can see this was the initial m r i you see the small micro hemorrhage what happened to it did it go away turns out this is just differences in slice sampling and a different scanner but that little focus is still there but you can see how in reverse order you know you may think that a micro hemorrhage developed when it didn't the other thing to be aware of is vessels and so you have to track up and down and make sure you're not looking at a vessel sw y imaging is much higher sensitivity for both vessels and bleeds so it's a little bit harder like you're finding a wearer's Waldo in a sea of vessels which is why sw i was not utilized for the trial and also why it is not recommended for therapeutic screening that's why we use and also to remain a consistent protocol but this just turned out to be a vessel here now when basal ganglic mineralization is symmetric and chunky like this it's very easy to see but when it's little punctate foci it might be harder to tell i would you know i would just assume that's mineralization but you know again it's something just to be aware of and then also around the sinuses you can get dropouts susceptibility artifact from the air and so you don't want to over call those as bleeds and particularly with it was sometimes around the sinuses you know mastoid aerosols here you can get little punctate foci but those aren't bleeds there and then the other thing to be aware of is this particular patient you see this what appears as susceptibility artifact bilaterally in the occipital lobes but this was actually phase encoding artifacts so you just look for the march across the line in in the phase encoding direction to differentiate true hemorrhage from just artifact now when to suspend dose so the criteria is different for aria e and aria h but starting here with aria e the main thing to remember for aria e is moderate and severe because whenever the degree of aria is moderate or severe then dose must be suspended and also when the clinical symptoms are moderate and severe the dose must be suspended so anything in the moderate severe category whether aria e or symptoms you're going to suspend the dose if they just have mild symptoms you don't need to suspend the dose so this is very important for a neuro radiologist and any radiologist that are reading these studies to remember because it's up to you to convey back to the referring neurologist what the degree of severity is and whether the dose must be suspended so please do not forget to call the neurologist if you see an aria category that would require a suspension of dose now this is aria h here if you're in the moderate or severe aria h category you're going to suspend the dose but unlike with aria e any patients with aria h that are symptomatic you're going to suspend the dose so all across here if they're symptoms and you see any aria h again this is over baseline so let's say if they had on their baseline MRI five micro hemorrhages after their next imaging study once they're getting a dose if you see five you're good but if you see anything a therapeutic you know micro hemorrhages that has developed that's when you start your aria grading now what is the impact for imaging facilities the primary impact is going to be increase MRI scan volume so an MRI is required by label at baseline and it should be recent the old label said within one year but now the new label has been changed to say recent I don't consider recent a one year obviously so probably within a couple of months in some institutions are going to sort of require it but others just if you've got it within a couple of months then you're good to go then an MRI is required prior to the fifth dose prior to the seventh dose and prior to the 14th dose these are all at the high dose categories which is 10 mgs per kig administered by IV infusion every two weeks so MRIs must be acquired prior to these these are scheduled MRIs the AUR guidelines also recommend an MRI prior to the 26th dose that's at 52 weeks so that's not on the Lacanimab label but it is a recommended schedule so this is five MRIs here and then plus additional MRIs non scheduled MRIs whenever the patient develops a new neurologic symptoms so if you assume maybe the patient might have five headaches a year you know the neurologist is probably going to order an MRI each time and probably on an urgent basis so you know if you assume about 10 scans per year roughly and let's say there's 1500 treatment candidates in the United States we're looking at 15,000 new MRIs a year impacting imaging facilities in the U.S. alone throughout our country so this is a very big number imaging facilities really need to be prepared for the increased number of MRIs that they're going to see now another impact for imaging facilities would be consistency and that is consistency in protocol field strength and ideally with vendor the protocol is very important so the required sequences as recommended by the the ASNR Alzheimer's ARIA study group is a GRE a flare and a DWI I can tell you at our institution we're just going to do a routine brain now some people may be doing an SWI as part of their routine brain and some neurologists may always require an SWI again because they increase sensitivity if that's the case please do a GRE in addition to that because when you're doing therapeutic screening you need to do the count off the GRE so in your dictation you would report the number of micro hemorrhages you see on both the GRE and the SWI but just put a note in there that using the GRE for the ARIA grading and then field strength you know ideally really should be done on a 3T or 1.5T and preferably maintain the same field strength between each visit and then you know ideally if you can stick with the same vendor that would be wonderful but I know that that's not possible in a lot of cases at our imaging enterprise we know we're the largest outpatient freestanding imaging enterprise in the United States we have 355 freestanding imaging centers that we read from so we have a big diverse fleet of scanners so we can't always maintain the same vendor now the other impact for imaging facilities would be an educational initiative for neuroradiologists for training for ARIA we're going to do ARIA training here in this webinar but you know all's imaging is a good website for additional information and educational initiatives are also ongoing through the ASNR and through RSNA and through other educational webinars and things like that now another impact is quantitative volumetric imaging we're already at least in my area my clinical practice I my refers order this for almost every dementia patient but in other areas it's not ordered as frequently but this is a very useful AI tool it can allow you to track the hippocampal volumes and it can help with automated ARIA screening report and is also was used in some of the trials the other implication for imaging facilities would be the beta amyloid conformation which is required prior to treatment this can be done through LP which is covered right now but again amyloid PET would be a preferable way for patients to be screened for a beta amyloid conformation and you know we're hoping to see that that will be covered in the near future and then Preciviti AD and also Quest has a new blood test as well these are both blood tests at this point there's still some variability and the reliability there and also no coverage as of yet for blood testing now let's talk about ARIA reporting so ARIA screening and follow-up can be reported manually the neuro radiologists are again very important because it impacts the therapeutic decisions it's in terms of the interest level for ARIA and Alzheimer's it's very interesting because the ASNR American Society of Neuro Radiology has an ARIA study group there's about a thousand neuro radiologists that come a year there's actually 2700 that are members of the ASNR but about a thousand make it to the meeting every year and you know they thought that there might be a small number whose study they would sign up for the study group well it turned out 800 neuro radiologists signed up for the study group and then we sent out a poll to all 2700 neuro radiologists that are members of ASNR and of the responding polled neuro radiologists it turned out that 63% of them were interested in using an automated proprietary computer audit detection screening software AI software for RA detection longitudinal follow-up and automated reporting so we will talk about that and look at that now automated ARIA reports are in active development right now from some of the major vendors and pending FDA approval so this is kind of what it looks like this automated segmentation for quantitative MRI this is the white matter overlay which would you use for ARIA E screening on the flare sequence and the other input sequence would be GRE where you'll see automated detection of the foci of micro hemorrhage so this is the GRE beforehand you see these little foci of micro hemorrhage and they can be very small and I'm not sure if you can appreciate this but there's actually two right here and then there's a few more along here one here and one here and this is what it looks like after the automated detection is applied here's an ARIA E case automated detection through quantitative MRI again ARIA E and automated detection here's an ARIA E with socal effusion case that is color coded after it goes through the QMI software this was originally so again it's very useful for a detection of ARIA E and ARIA H there are different screening reports that can be generated this happens to be one from one company where it will for ARIA E it will give you the lesion burden and the count what's new what's enlarging what's shrinking over time for ARIA E and for ARIA H again the count for ARIA H the count is mandatory it's so it's very important here we'll do the same thing for superficial cirrhosis and compare dynamically since the prior study so here's sort of a summary report here for ARIA E lesion one it's giving the diameter and size because this is what's required for the grading system so you get the diameter for all four of these lesions and you get the change from the prior study it tells you where it is right frontal lobe and then it gives you a severity score for ARIA E and this is based on this criteria that we talked about before for mild moderate and severe here's in our sample ARIA H report that is in development and again counting the current micro hemorrhages as well as the baseline and you can get the change in the number so baseline had one and then there was nine new ones at the follow-up imaging will tell you where they are in the brain and and and again will give you a severity grading for both superficial cirrhosis and for micro hemorrhages so having to be moderate for super for micro hemorrhages and mild for superficial cirrhosis according to this radiologic severity chart this is another ARIA screening report from a different company so let's talk about sort of the future of dementia imaging as I is actively working on a subcutaneous auto injector for the lacanumab type molecule to bypass the need for bi-monthly infusion so trials are in progress with that and they aim to file for FDA approval in April 2024 and actually another great benefit of that is not only the ease of use to be able to do it from home but it will also cut down on the infusion reactions over 10 percent of patients will develop an infusion reaction which sort of presents like flu-like symptoms you know fever flu-like symptoms following infusion that tends to happen more at the beginning of treatment so that will also help mitigate against that in the future we also we would like reimbursement for blood tests like the quest ad detect test that's four hundred dollars out of pocket and the precipity ad which is 1250 out of pocket and then we need we really need cms coverage for that amyloid pet for beta amyloid confirmation to bypass the need for a lumbar puncture patients do not like having to get a lumbar puncture so currently right now one amyloid pet is covered per lifetime but in a trial setting only but again as we spoke about earlier on July 18th 2023 cms proposed to rescind the national coverage determination that is currently restricting amyloid pet coverage so that then permits the individual medicare administrative contractors these max to make coverage determinations so right now it's unclear when cms will start reliably reimbursing for amyloid pet nationally and at what rate but we're hoping that this is coming down the pipeline because cms did make movement on this with this decision other things in the future will be new drugs on the horizon we're expecting to nanomab to apply for conventional approval hopefully this fall but if not at least by this winter and then we still need a cure there's no cure but prevention trials as i mentioned before are in progress okay so let's look at some cases here just dementia cases this is there's several cases that we can review but i'm going to limit it here just primarily to Alzheimer's and a couple of the other major dementia disorders this is 79 year old with memory loss they came in in 2013 here and you see some mild to moderate right temporal lobe atrophy they had quantitative analysis done in 2013 when they returned three years later their atrophy had significantly progressed and repeat quant was done so here's a look at this quant study uh in 2013 there was statistically significant hippocampal atrophy in the uh i'm sorry hippocampal atrophy and enlargement of the inferior lateral vanderkels that all progressed at the follow-up study now we have all these areas of statistical significance and the hoc the hippocampal occupancy score which is a measure of mesiotemporal atrophy was statistically significant on the normative reference charts you can see here how the hippocampal volumes are drafting rapidly off the normative curb as well as the entrant of cortical volumes and other measures here in the temporal pridal frontal and occipital cortex this is a triage brain atrophy report which is again broken down into sub structures and lobes of the brain anything in blue here is getting smaller uh so the cortex is getting smaller anything in red is getting bigger so the vanderkels in the sulci are getting bigger over time this is the type of thing that you would see sent to your packs when you order quantitative uh MRI imaging it's a very usual useful visual indicator here um this is another uh company's report here where again it's measuring the volumes of the pertinent substructures over time and comparing over time so you can see things that have progressed in 2016 this is also from their report where they it's pointing to areas of statistical significance you can see in 2013 here the hippocampi on segmentation and significantly smaller in size three years later this patient also had on GRE multiple little micro hemorrhages so they had cerebral amyloid angiopathy this was not a treatment patient and then they went on to get an amyloid pet which was positive diffuse binding throughout the cortex so this patient had both Alzheimer's disease and cerebral amyloid angiopathy this is an 86 year old with memory loss and mild right temporal lobotrophy um there was statistically significant mesotemporal um hypometabolism on uh this is the pet CT images and this is the pet MRI which I fused to the flare sequence here um and I run all these through the mem neural analysis software so again it was statistically significant look at the dramatic progression and atrophy by 2016 at which time quantitative post-processing was done and multiple areas of statistical significance on this quant study and same with here on the other this is another company's quant study here and so this patient went on to have an amyloid pet diffuse binding throughout the cortex a positive amyloid pet so this patient has Alzheimer's disease case three is a 73 year old with memory loss and we see here moderate right temporal lobotrophy um we see some reduction in the volumes on quant imaging in 2016 so here's the reference charts here on one company here's another company triage brain atrophy this patient went on to have amyloid pet in 2015 this is the amyloid pet CT fusion and pet MR fusion which I fused the T2 weighted images and this was positive so this patient has Alzheimer's disease um this patient is a 70 year old here that had some atrophy um and but not a lot and if you look here on the flare images we see this cortical infarct here another small cortical infarct here this one's on the primary motor cortex a few little uh the lacuna infarcts in the cerebral white matter um this was their DWI in 2020 they came back in in December and now we have an acute infarct in the ref right cerebellar hemisphere on the GRE again this is a non-treatment patient we see superficial cirrhosis and other little micro hemorrhages scattered around on the fdg pet CT in 2020 we see cortical hypometabolism diffusely in the parietal lobes and the temporal lobes and particularly in areas where we have infarcts here in the brain this is the fdg pet CT cortical hypometabolism that was statistically significant in the temporal lobes uh and in the biparietal lobes here's the fdg pet CT again with color fusion we have all the temporal lobes are hypometabolic as are the parietal lobes and the posterior cingulate gyrus um this is the fdg brain pet MR fusion which I fused to the uh flare and against statistical significance temporal and parietal uh that was a patient obviously that had Alzheimer's disease moving on to this next patient this is a 73 year old male with profound visual hallucinations delusions gait difficulties resting tremor frequent falls and only minimal memory loss on the MRI here we see atrophy moderate atrophy in the bilateral parietal lobes as well as atrophy in the bilateral occipital lobes we will look here on quantitative imaging we have some atrophy here in the occipital cortex as well as within the hippocampi and amyloid pets was done here's the pet CT amyloid pet MR and this was positive diffuse finding of the tracer throughout the cortex so the patient went on to have a towel pet in 2019 and we do see some towel deposition here in the in the occipital lobe on the right a little bit in the posterior cingulate gyrus and a little in the temporal lobe the patient then came back for an MRI in 2021 and we have some progression of atrophy in the parietal and occipital lobes here's an fdg brain pet CT that was done in 2021 and we see statistically significant cortical hyper metabolism in the bilateral parietal lobes as well as within the bilateral occipital lobes and in the temporal lobes and this is the fdg brain pet MR again where you see statistical significance in the occipital parietal posterior cingulate gyrus and here's the fusion with the MRI as well this is the fdg pet surface map in 2021 where again we see parietal and occipital statistically significant cortical hyper metabolism so this actually was a patient with dementia with louis bodies the you get abnormal deposition of alpha synuclein where these louis bodies here in the cells now you notice that this patient had a positive amyloid pet which typically you would think of Alzheimer's disease but as you probably remember when we went through one of the earlier slides you can get beta amyloid deposition with dlb and in this case it was enough deposition to turn the amyloid pet positive it's much less common than Alzheimer's disease 1 million in the u.s versus 6.7 million with Alzheimer's survival rate is typically five to eight years after diagnosis the important thing is this 80 percent of them will present with visual hallucinations so if you get a history of this be thinking dlb and so that's the presenting symptom and in most cases and then again you can have that amyloid deposition and neurofambillary tangles with dlb but not as much as with Alzheimer's this last case is a 74-year-old woman with personality change and memory loss this is the patient's fdg brain pet ct in 2018 and we see here statistically significant cortical hyper metabolism in the bilateral temporal and bilateral frontal lobes this is what it looks like when i run it through the mem neural analysis software anything in red here is above the midline and and the blue is below i'm sorry below the mean sit in this is statistically significant if it's more than two standard deviations below the mean and the left and right hemisphere by z score analysis so we're statistically significant here in the temporal lobes and in the frontal lobes and then this was a negative amyloid pet on this patient in 2017 this is what the ct looks like you see the dramatic progression and atrophy in just one year i mean look at these temporal sulci compared to what they were a year ago look at the size of the temporal horn that's really has progressed over time and then in 2017 and 18 look at the frontal lobe sulci here's the superior frontal sulcus compared to what it was just one year earlier so this was a frontal temporal dementia case there are three main subtypes the behavioral variant and non-fluent and semantic this is the most common this behavioral variant here which manifests as personality and behavioral changes which is what this patient had 30 percent are hereditary most notably the behavioral variant which is an autosomal dominant type and there are different genetic mutations that can occur with this this presents present and younger people between 45 and 60 years of age it's much less common than Alzheimer's disease of 55k with frontal temporal dementia in the U.S. as opposed to the 6.7 million with Alzheimer's but interestingly it is the most common dementia in young people less than the age of 60 the survival rate is typically six to eight years after diagnosis they should have a negative amyloid pet you should not get amyloid deposition with ftd and other diseases that are part of the ftd spectrum can involve motor changes such as ALS and critical basilar degeneration and progressive super super nuclear palsy so in summary the dynamic landscape of Alzheimer's disease will have a profound effect on both patients and on neurologists as well as neuroradiologists and imaging enterprise so we all really need to be geared up for this neuroradiologists are going to play a key role in clinical decision-making about the eligibility and continuance of disease modifying therapy so it's important that neuroradiologists are trained and how to read these aria cases i can tell you that our imaging enterprise we are doing internal i'll do an internal webinar which all of our neuroradiologists will participate in the training and they'll actually get a certificate if they complete both asnr and rsnar are also actively thinking about issuing certificates after training programs as well now imaging centers will need to have agility to adapt to the significantly increased scan volumes and finally just remembering that this is a really exciting and pivotal time in the history of neuroradiology we're feel like we're up for the challenge and we're willing to play a key role in the struggle against this absolutely devastating disease thank you so much for joining us thank you so much for your lecture dr bash we can take some questions now if folks want to put those in the q&a box we've got a few already in here um dr bash how do we bill for qm ri um okay so for quantitative mri uh traditionally people have built under the old 3d code but it really was not meant specifically for quantitative uh post-processing in the brain and so a really exciting event happened on july 1st 2023 just recently here where the am a granted specific cpt 3 category uh codes for quantitative uh imaging of the brain so that is wonderful those will go into effect on january 1st 2024 so we strongly encourage everyone to transition from billing under the old 3d code to the dedicated qm ri codes now these cpt 3 codes are tracking codes so there's going to be inconsistency in payment initially um but if everyone starts billing under these new codes that will really drive um you know a conversion to a category one code which then will become reimbursable so it's very important for people to be aware that the dedicated codes are out there and to bill under those starting january 1st um what are the biggest practical challenges awaiting us in therapeutic dementia imaging and how do we overcome them yeah so i think one of the biggest challenges is going to be communication between the neuroradiologists and their referring neurologists um because if the neuroradiologist doesn't know that the patient is on treatment then they don't know to spring for aria right so they see blood products they may think progression of cerebral amyloid angiopathy they see edema they don't know what is causing the edema so um one strategy that you could use that i suggest would be to have the referring neurologists have that conversation and maybe have them order their studies as ad therapeutic baseline if it's for the patient's on treatment that will alert the neuroradiologists and scheduling that the patient is on treatment and they're doing their baseline MRI and then ad therapeutic monitoring for when they come back to do their scheduled MRIs or if it's an unscheduled after they are already on treatment and then if it's a patient that has dementia but they they're either not in treatment category they're not um uh eligible for treatment maybe they're more advanced Alzheimer's you could just have them order it as a routine non-treatment dementia study but if you have consistent language every time when you order the study that's going to trigger the correct dementia protocol so that communication is very important and then also the backwards communication from the neuroradiologist to the neurologist if dosing must be suspended uh if they category of aria uh warrant such and then the other thing is really planning uh consistent protocol should be in place already so um at our imaging enterprise you know we'd like to do a dementia protocol on all of these patients so again the mandatory sequence we're just going to do a routine brain but you know we'd like to add the 3D T1 instead of the traditional T1 so that the patient is eligible if we want to do quantitative MRI you need the 3D T1 to do quantitative MRI uh so you know every you know protocol should include a GRE a flare uh DWI in a 3D T1 at a minimum and then to accommodate for the be aware of and plan for the increase in MRI volumes so you know one thing that you can do to um you know mitigate the high volumes is things like deep learning for image reconstruction this AI tool that will allow you to scan your patients 50 to 75 percent faster um but still actually have in fact better image quality than if you hadn't applied this AI solution that's something we use throughout our imaging enterprise um and it's an extremely useful tool which really I is moving into standard of care at this point in time the other thing is is to plan for you know staffing to cover increase volumes um and then the other component is training neuro radiologists if neuro radiologists don't know what RA is they don't know how to read RA cases they cannot play that key role that is expected of them so the training is very important so again in our imaging enterprise we're going to do an internal webinar that all of our neuro radiologists on the east and west coast will attend and they'll get a certificate but ASNR is going to also offer training and RSNA and so training is very key and that you know a big educational initiative is needed there great okay what about the controversy surrounding or identifying amyloid as causing Alzheimer's disease well I think everyone's pretty much in agreement that amyloid and tau are both biomarkers for Alzheimer's disease um there's always you know a bit of a question of the balance between causality and association but we know that causality is at least at some part a component because APOE4 homozygot carriers have a 12 times increased risk of developing Alzheimer's disease and they also have an increased risk of developing hemorrhages and we know that APOE4 is tied to impaired clearance of the beta amyloid plaque from the brain so that is a sort of a causality component and we also know that from the disease modifying trials that when you effectively clear the beta amyloid plaque which all of the monoclonal antibodies do that there is a slowing in cognitive decline so that is another argument for that so I would say you know I wouldn't worry about it so much just worry about what the end result is you know is the patient getting better um you know over time I'm not getting better but at least slowing the rate of progression all right one more question and this one's a little bit more specific um we utilize SWI in our routine MRI brain protocol just want to confirm that counts for aria H must be done on a GRE yes so the the aria grading scale was based on GRE not on SWI the trials purposely only used GRE because pretty much any scanner can do a GRE not all scanners have the capability to do SWI certainly the newer ones do and then you know also sometimes they you know it's a longer sequence and so they wanted the trials one to incorporate something that everyone could do consistently which is GRE now if the grading was done on the SWI it would be probably a different grading scale because SWI is more sensitive for bleeds so again it's not a problem if you're doing SWI it just if you can also then add the GRE for the grading of aria so that everyone is consistent across the board just because there is a higher sensitivity for blood products with SWI and then the other component also is you know sometimes SWI is harder to interpret not all neuroradiologists love it just because sometimes it's hard to tell if something is an end on vessel versus a micro hemorrhage whereas on GRE it's much you know you feel much more confident that it's always a micro hemorrhage and not an over you know a you know a vessel so those are kind of the reasons behind that awesome Dr. Bash thank you so much for your lecture today and for everybody for participating in in the question and answer session you can access a recording of today's conference and all our previous new conferences by creating a free MRI line account be sure to join us next week on Thursday August 17th for a lecture with Dr. Petra Lewis entitled Getting Promoted as Clinician Educator. You can register for this free lecture at MRIline.com follow us on social media for updates on future new conferences. Thanks again Dr. Bash and have a great day. Thanks.


And then please welcome Ben Norte, thanks. Before we just had a discussion before, Rob and I have met four years ago for actually we met 20 years ago for systems management. So it has been an interesting journey, an interesting period, also with ABMMO actually. I wasn't working there, Rob wasn't working there, but we did that the same. The slide deck is such a journey, we're not there yet. And I think for IT and for IT for IT, we'll never be at the end of that journey. But the journey itself is very interesting. This is my Meet the Author slide, you can all read it afterwards. What I think is important that it's, I like white areas. I like areas where a lot of things are happening and that are interacting with all kinds of other parts. That means that you can do a lot, even within a bank. We have had our share of integrations and other things, so really a nice place to work. Doing both IT for IT and systems and service management, which are interesting related. And I'd like to have discussion with some people about ITIL, but let's not do that now. Maybe have some counter-opinion on that. My presentation is in three parts. One is, okay, what did we do in the beginning? How did we get to IT for IT? How did we start with it and what did we do to use and to implement that? Or to define our route forward? Second part, what did we do to, not to really define the capability, but to communicate? Because we noticed that communication, and it has been stressed this morning as well, that communication is one of the very important things about any change. And also the change to IT for IT. And I'll show you some of the things that we produced. And the last part is about, okay, what did we gain? How did IT for IT help us? And what would we like to see as additional parts in IT for IT? Now, let's keep ourselves operational and active. So, let's start with the first introduction, ABNM route. Obviously not as big a bank as the State Bank of India. Let's be very clear. I think about one-tenth of the size. But in the Netherlands it's one of the three major banks. And the three major banks together have about 95% of the market. About 8 million customers, 13 million accounts, both retail, private, and commercial, and a lot of other things. Primary focus, Netherlands. And we are active in more than 30 countries, but we do that very specific. As always with any bank, a wide range of products. A lot of omni-channel, multi-channels. But if you look at it now, I think 90%, 90% is internet and mobile. We ourselves are already, and we have been very challenged by the intake and the upcoming floor of internet. There's hardly any people anymore in the branches, which poses another problem, actually. So that's what we are. And we have grown over the last few years, primarily my mergers. Forced or not forced, that's another discussion. But these mergers have a large influence on our IT. We have 50 years of IT. Yesterday I heard someone mention we have an application that has been running for 47 years. I think we win there. We have one application that has been running for 48 years. But okay, it's about, and it's one of the most stable, of course. But it hasn't stopped then. It hasn't stopped 40 years ago. We have changed and changed, and we have had multiple applications, lots of middleware, and all the things and all the new hypes have always been part of our development. And it poses an interesting challenge for maintenance. But you all know that. So we have many standards, and we still have a lot of products, a lot of duplicate products, because people like their own thing. And especially in IT itself. So what we noticed is that the speed of change has deteriorated over time. It gets harder and harder to keep up with the requirements of the business. So we need to speed up development, delivery, and we need to do a lot more on alignment with business in IT. And actually what you see now is that, because business is also getting more and more IT savvy, that alignment is getting into another pace. We get some interesting discussions with business. And actually I like that, because they know, and they have feeling about what IT is and what IT could do. Alas, they also have an idea about how fast that should go without thinking about support, run time, stability, et cetera, et cetera. So that's the squeeze we're in. And I think multiple of you will be in there as well. To structure our thinking for IT for IT, we created a future state architecture, the FSA that is mentioned here. And we saw, and we still see, eight external trends that really drive what we want to do. One is the border between IT and business and business and IT is disappearing. There's a gray area now in the middle. What I said, the business knows more about IT, but the second point I mentioned at the beginning, our internet and mobile channels are 90% of the interactions with our customers, so we need to be far more integrated. What we also see is that cloud is coming up, as we mentioned before, and it's no news for anyone. And we personally think, or as an organization, we think that the end of the journey will be a lot of SaaS solutions. And you see more and more things coming up. Not at this moment in time, software as a service is not there for all aspects, but you see the market rapidly growing, very rapidly. And I think the cloud evolution is getting there. We have some issues with cloud. Of course, the problems that you have mentioned before, security, availability, et cetera, but you see the increase of possibilities and stability and quality of software as a service is increasing. So in the end, we will end there. The next point is that, look at Google's, look at the larger parts and know we are not Google. Winner takes all. We have to be at the forefront of the changes. Otherwise, if you are left behind, people will overtake you. There's a lot of change, and that's also what in the left-hand corner, the upcoming API economy, a lot of change, external third parties that will gladly take the profitable part of our business. And that's not the bookings and not getting money from A to B, but the real profitable part. The third parties we'd really like to get. And we need to be sure that we are progressing in this race and that we are part of that race to prevent us from being, in the end, only the payment processor. For, as a payment processor, you are far too expensive as a bank. Speed of change increases, we don't have to explain that. But what is an interesting thing is the rise of artificial intelligence. You see that not only as a research thing, but now you see that coming into AI for the operations side. You see a lot of artificial intelligence in the running of the business and also in the business itself. For instance, rating credits, et cetera, et cetera. A lot of AI comes into help there. So these are the drivers that we saw. And the other two, okay, let's skip these for now. And we have internal drivers and most of that is fighting complexity. We have that discussion and also within the State Bank of India. There's a lot of things that need to be, can be said about that. We're not going to deny that. We have to take care of that. And it's actually very hard to get rid of that. It's very hard to get rid of complexity. And it's on all levels. It's not only, this is the IT part, but also the business side. There's a lot of complexity also in the business products and that may be the required complexity. Okay, I can give a guest lecture on complexity, but I won't do that. Let's continue. So these are the drivers and the changes that come to us and that we have to address. And this is the first deliverable on that. We created a picture on, okay, what is coming towards us? Because awareness, awareness within IT as well, but also within the business about the changes and the impact of all the external changes is very important. So people know we have to address them. And you can make, I can't make these pictures, but people can and they're very nice. They show you one go, okay, this is what's happening. I like these things. But this is purely focusing on the run environment. But of course, we have the same in our development part. And that's where IT for IT as a whole addresses the whole range. And we also, you see that we need to change there as well. Now, I'll come to this later. What is very important is... Oh, wait a second. Sorry. I tried to do some things, but I shouldn't. We are really aiming for the automation of IT. And that is where both IT for IT, but also the generic thing like CICD, they are helping there. We have now the first development streets where you really have the automation up to the testing and get that running automatically. And that is very important because agile and CICD, they are important, but most of the importance and most of the benefit can be reaped if you automate all the repetitive actions. And we do that to the business. We have done that to the business a long time. Getting automation in to do the repetitive actions. Now it's IT itself which has to be done. Okay. Now the question becomes, okay, what did IT for IT help us with? Now, the first part is the capability model that is part of IT for IT. This is our definition of it. IT for IT itself is a reference architecture. So you have to align that with your own organization. And this is the model that we came up with with the capability model of IT for IT combined with some other capability models. Actually, we structured it in the same way that we have structured our business capability model. As a bank, we also have a business capability model within the center in core capabilities, things like bookings, et cetera, et cetera, and credits and whatever. But if you look at IT for IT, actually the structure is completely the same. We are a business. IT is a business. And that's where IT for IT reference architecture helps you to identify that and to help you support that in the discussions. So, yeah, and what you see also for IT for IT and IT organization itself, the supporting capabilities, the management and control, they're the same. They're the same kind of functions, the capabilities that you need there are the same. It's only the core capabilities, and here you directly see the value streams of IT for IT that are different. And we have partners at the left-hand side. There's a lot of outsourcing going on with ABNM row, within ABNM row. We have the API providers, the third parties, and we have a lot of customer interactions, but most of the customers actually are the employees or the direct channels outside to our end customers. In the end, the people that provide the money for us to run. But looking at the previous page, that is very hard to understand and to read for non-technical savvy persons. So what we did is we did a lot of, and what I also already said, we did a lot of communication. We put a lot of effort in our communication. I think Rob has shown this in his previous presentation just before lunch as well. The value chain as being a chain, looking at and describing the steps and the value stream of IT for IT and what's in it and what's there in the end comes up. And most people are very well known with the part that they provide, but it's very good to have them see that there's more to it than just the development or the run. The request to fulfill that has been a very neglected part within ABNM row, but we're picking it up now, and I think the IT for IT has helped there. And set the portfolio, that's an interesting part, but that's also where Agile comes in as a game changer, so we need to see how we combine that in a good way. Based on the previous and based on a lot of process discussions, we also came up with this picture, and this is far more complex than the previous one, that's clear, but the main reason for this picture is the BPM, the process management part of that whole IT for IT. We plot a lot of things, and the most important message from this picture is that there's a lot of feedback. There's a lot of feedback going on within IT for IT, and you see that at the bottom. Information coming back from the run side, the detector correct to the phases before that. The structuring that, of course, it's there now as well, but structuring that and being able to really identify, okay, what is that flow? How do we take care that if an issue is found in detector correct, that it is really fed back to requirement to deploy, even to the portfolio part, and that is a very important awareness that people tended to forget, and luckily we have here again a lot of communication, a lot of things about, okay, how do we do that? What is actually the feedback loop? What is the loop? What processes are there in those environments, in that value stream? And in the end, the end user at the top. And it's not about pictures, it's also about training. We provided training for the whole IT organization, not only the developers, not only the strategists, but for the whole organization, including the run, and there are two main messages that we wanted to give there. One is it's a chain, it's an end-to-end chain with its feedback loops, et cetera, et cetera. And to identify that detector correct or run is an integral part of the whole chain. I don't know in this audience, but I think in a lot of organizations that I know of, you create something in development and then throw it over to run and let them take care of it. It's very important also with your stories about feedback, shift left, et cetera, that you start stressing the run part or the detector correct part to be part of your whole IT for IT organization. It's also not only technique, it's also people and process. That has been stressed this morning as well. We need everything together. Data as the foundation layer. I think Mr. Rao will be very happy with that I set up. The tooling processes and the people. The data is one of the major parts that we have addressed from the beginning because it was not... It didn't have the quality that the rest of the things have. And what we started to do is stating, okay, we have a lot of data models. But actually, if you look at DMBoc, the data management body of knowledge, you have to identify multiple layers in that. So we started... Actually, we skipped the subject area model, but okay, that's very high. We started with the enterprise conceptual data model. And looking at our organization, which again took the reference architecture of IT for IT, and we saw there that the major data model that's there, the conceptual data model, looked very much like what we wanted to have. So we took some things out, of course. We are a bank. We don't take everything for granted. But it's very much in line. Then we have the logical data model. And that is something that is not in the IT for IT reference architecture and actually becomes organization-specific. And we base that on our demand. And we have a picture now, we have a data model, a logical data model of about 100 elements. And that's fully defined without coming back to that. And then in the end, you have the application models, et cetera. We are not going to go in that direction now. It is very interesting, actually. We are using, for instance, surface now, and you see that those application logic data models influence the rest. Okay, this is the conceptual data model. We explained, okay, what is it? How did we change it? Why did we change it? It has been accepted. People understand what's there. This is the ABNM row data model. And, obviously, it's not readable. But we have some explanations for that. So we have an explanation, okay, how do we get there? And the whole model has been described, including terminology, of course. I'm one of the people that stress semantics. That's a very important part. It's not about the syntax. It's more about the semantics. What does it mean? Because that really differs between organizations. You have to explain that over and over again. For, within the bank, and you may not want to believe it, but it's really true, we have 12 different definitions of a customer. Luckily, I didn't have to fix that here. But semantics, and okay, what did you really mean by a customer? What do you really mean by a test case? It's a very important thing. And we took some time, and a lot of time, to get that. And we are influenced not only by IT for IT, but also with other things, and also with some regulator requirements on the thing. Banking is a very regulated environment, so we have to take care of what our regulator thinks and wants to see, or needs to see. And the next picture that we made, and that's more for the IT people themselves, is looking at the capabilities. Or, yeah, it has to be changed, actually. Looking at the capabilities, and these are not the IT for IT capabilities. Looking at what's here, define, okay, which tooling are we using, and what actually are the interactions between the tooling. What you don't see on this picture, but is there, is a list of details about every interaction between, for instance, a service portfolio and a backlog management environment. And what you see also on this picture is that for a lot of capabilities, multiple tools are mentioned. And that is because we don't want to restrict the tooling. What we do is we stress the interactions. If people, as an example, in the Azure environment, VSTS is a very useful tool to use. And, okay, we grant it somewhat, but people are using that. What we say is, okay, you can use it as long as you keep all the interactions with your environment intact and automated. Actually, that puts a real, that makes the number of tools that are in use a lot lower because it's a lot of work to get everything done. Okay, conclusions. First part, we gained a lot from using the IT for IT reference architecture. There's a structure that helped us, there's a list of capabilities that really helped us linking to the business capability model. We use it a lot for heat mapping. We had a discussion yesterday on that. Planning, budgeting, using the IT for IT model, or at least our version of it, for those things as well. So not for the pure IT things, but also for the portfolio part. We used it, and I mentioned that already, we used that to stress the end-to-end chain and to make people aware that they are part of that whole chain and that when they deliver low-quality functionality to the next stage, that in the end, they will be bitten by it. At this moment in time, we use agile, but agile only in development. We are thinking about that. We have some groups already using DevOps, and you see that the awareness in the DevOps groups for that whole chain is far higher than in the more individual and smaller defined groups. Of course, because in the DevOps group, if your dev is low-quality, then your ops people, which are in the same group, or maybe it's the same person, will have to take care of all the issues. I think doing DevOps right will help us to get a better understanding for IT for IT, and also for the fact that it is an end-to-end thing. And, yeah, as last point, it's a very good basis for tailoring. It's a reference architecture. No single reference architecture can be complete, but looking at IT for IT, we noticed that it says 80%, but sometimes it's more, it's how you count. You can count in all kinds of directions. It's a very good basis, so you can just reuse it, and it helps you identify the spots that you may miss if you look at it yourself. And it's also integrating with business process, integrating with outsourcing for us. Yeah, we are trying to get that also done with our outsource parties. Just for, as a reminder, we have been using Tocav, Archimates, et cetera, already for a long time, so we're very happy with the open group. And we're not a member, but that's another discussion. Last part, of course, I really like IT for IT a lot. Thanks for that, all of us. But we see some gaps, and we are very willing to cooperate in there to do the next level in IT for IT, or to fix the wide spots. One is interoperability with third parties. There is a working group, has been started already, so I'm very happy with that. We are involved in it as well. We have a lot of outsourcing. And a formal interaction with the outsource parties will be very beneficial to us.  People retyping whatever has been done on the other side. Formalizing that and making it more automated really helps. Also to keep the speed in your hole and to end chain. Second point, dependency management. There is, as everyone in IT will know, dependencies between software, dependencies with outsource processes, et cetera, is a very important part. How do you manage that? Not how do you act on it, but how is there management? Can you dream up a good management structure to do that? And the last thing is knowledge management. It's not about using the known errors. There's known errors, et cetera, in IT for IT. But how do you get there? How do you get that information? How do you get from the data? Known errors are known errors. But how do you get from that error data to a real generic process to create that known error? And these are three things. Maybe there are more, but these are the three major things that I'd like to discuss with IT for IT. But Rob and I already had the discussion on most of those points. So let's try and use and cooperate to bring IT for IT to the next level. Yeah, thank you, Ben, for that. But it's nice how or is IT for IT integrated with enterprise architecture? Yes. I'm one of the enterprise architects, so yes. And we do have business architecture and data architecture, et cetera. So you see that for the IT part itself, it is very much integrated in there. But yeah, there are also all kinds of business applications and business architecture which sometimes even doesn't impact IT or has no relation with IT, and I've seen those cases. And also I thought it was an interesting approach that everybody in the IT organization is trained on this IT for IT value, or IT for IT and IT value chain. So was that a good experience that everybody now is aware in the IT function that how IT is organized and workflows through the entire organization? Yes. Is it a fundamental training that people should do internally like that? Yeah, and I think IT for IT was first the reason to do it, but actually you should have done it far before. People should be aware that the part that they're in, in that whole creation-run cycle is not the whole world. And people, if you don't stress it yearly or whatever, people tend to forget that their work is the center of the universe, which is okay, but as long as you know there's a black hole in the center of the universe, then you still have to know that. Okay, and the last question I got was who did you create an ABNMRO version of the IT for IT reference architecture? The difference is that. So how did you do that? Did you come up with that changes? Two faults. One is we went through the capabilities, and said, okay, we may need to combine those in another way than the reference architecture does. Most of it is a combination thing. And second, we do have what I said a lot of outsourcing, so that impacted, and so it's our given structures, and those given structures also impact the capability model. Okay, thank you very much, Ben. That was a good presentation, and it's good to learn from experience like that in the organization of using IT for IT. Thank you. Okay, welcome.


This paper compares several deep learning techniques and acoustic features in order to assess the severity level of dysarthria. The authors found that the best results were achieved by using a combination of MFCC-based iVector representations and DNN models. This system was able to achieve an accuracy of 93.97% under the speaker-dependent scenario and 49.22% under the speaker-independent scenario. This article was authored by Amlu Anijashi and Rajiv Rajan.


So what we're going to be doing today is supporting a structured or modular search method. I am just going to show you what we're going to do. So our plan, our methodology here, and what we will do today is use the Zora to expand and map concepts to make sure that we cover all the related words, all the synonyms, all the possible ways that these concepts exist in concept space for your discipline. And then this is something you can use definitely, you in fact have to use to expand searches to make them more sensitive, but you can also use this in precise searches. This is a very modular method. So the structured search consists of applying certain methods to make searches more sensitive by the use of synonyms from subject-specific database to Zora and connecting them using the OR operator. So once again OR means more, right? OR makes searches broader. There's some other operators you can use, but we remember that the subject-specific databases translate particularly well towards making strong sensitive searches because they have those subject-specific Zora that have terms that can truly expand their searches by introducing many disciplinary equivalents. What we're going to be using today is PubMed. So we won't be using PsyKenthal. One of the reasons for that is that PubMed does automatic mapping of terms to subject headings. So of course, PubMed uses mesh medical subject headings common to Medline, PubMed and a few other renditions of the databases have their own very specialized subject-specific specialist curated sets of terms. And we will investigate how PubMed uses the medical set to investigate our psychological research question. What we're going to be doing first is thinking about how to translate a concept map into a search and it's actually quite simple. What we do is we map each column. So here we have four concepts, four columns, gambling decisions, stimulant use, sleep deprivation and healthy adults, connect all the terms that are related to each other with ORs and then connect each of the terms once they have been fully exploded and fully explored with an ant. So the process is so simple but so important to make sure that we make reproducible, robust searches. The first thing, really, really key, search one term, one concept at a time, so important. And you can explode the concept in as many ways as you want, use the thesaurus over and over. The main thing is that finally you will come up with a way to write that concept as a bunch of ORs. You'll unite using ORs, all the words related to that concept. So you'll be mapping each of the concepts to subject headings and then including what we call text words, which are just keywords, just regular words that express the same things as the subject headings. All of this is connected with ORs. So the way this looks is as follows, you work with concept chunks. So for concept one, you go through all the subject headings from the thesaurus, you connect all the other words that are related with ORs and you leave that result alone. It could be several hundreds of thousands of results. That's fine. This is the entire concept space for your concept one. When you move on to concept two and you do exactly the same thing, you go to the thesaurus, you explore that concept fully in the thesaurus. And then once you're happy with that, you add all the variants of the same words as text words. And then you move on to concept three, do exactly the same thing. And once you've explored each of your concepts, doesn't have to be three, could be two, it could be five. What you do is you combine these concept chunks and see what is the overlap and how do you do that using ANDs? So this example here follows this question. How does the quality of gambling decisions change as a function of stimulant use for healthy sleep deprived adults? So we've got our concept map organizer and we see our four concepts that we have, the gambling decisions to stimulant use, sleep deprivation and healthy adults. Let's start mapping them. So we start with the first one with gambling decisions. And again, we're not going to be using our psych info pro quest because we want to see how PubMed will map this automatically. You'll see that the database itself uses this strategy to come up with as broad a search as it can. When we start in PubMed, we will always work with the advanced search, right? So we're going to be engaging the automatic search mapping. And what we will do is go to our databases on our homepage, find PubMed. So once again, the subject specific databases here outline in purple. And once we find PubMed, we're going to type into our advanced search window, the term gambling decisions. No quotation marks around it, just gambling decisions. One concept at a time. And what we see here on the great background is the result of the automatic term mapping that PubMed will do for us. So you see that gambling decisions got translated. You see that bolded translations term. So it got translated into everything about gambling, including the boxed gambling mesh term, and then it got translated into decisions. So gambling and decisions got split up as two terms that happened somewhere within the record. So, you know, that gives a lot of records, but a lot of them will not have anything to do with gambling and decisions as concepts related to each other. So we have to realize that. Now, how did I do this again? How did I get this? I went to the PubMed advanced search builder and that's immediately underneath the simple one on the homepage. And I just typed into the query box gambling decisions. Next thing that happened, I had this page of results. So you see it's more than 3000 results for gambling decisions, but instead of looking at them right away, instead of doing the very important appraisal part, so you remember appraisals part of every search, I actually clicked on the advanced search again, which is right underneath our display window there. So you see the red arrow points at the advanced search. And what the advanced search shows me is first the search box, but then underneath, it shows me the most important thing that subject specific databases have. Actually, a lot of these citation indexes have them as well. And that's what helps us to build searches in a structured way. The search history. So the search history that you see on the upper left-hand side is the most important thing in these advanced search boxes. The other really important thing that which is otherwise hidden is this details area. So it's right beside our search query and it has that little carrot icon. And right now you'll see the details arrow is pointing down, but that's because I toggled it. Normally it was pointing towards the right. So when you toggle the details area, it opens up and it shows us the search translation. Once I took a look at the search translations, I realized that there's no mesh thesaurus term for decision. And I thought, well, surely that would be very different if we were to use the psych info thesaurus, right? So we see both the advantages and the limitations of subject specific thesaurus. Now, of course we have to evaluate what are we going to do next? How are we going to write down our gambling term? So we see risk-taking here. Risk-taking is very broad. We get 88,000 and when we look at the results, some of them take us a little bit far off, but risk-taking is a mesh term. So we have an option to include it. I decided to exclude it and then you'll see whether or not it was a good decision. And then I went and checked a few other things like gambling behaviors, gambling addiction. And then I finally settled on writing down the gambling decisions term. So the entire concept of writing it down is gambling thesaurus term, so mesh term, or gambling decisions as a phrase or gambling behaviors. But I could have done something different, right? I could have done gambling and decisions, which means that the two terms would have happened somewhere not necessarily close together in the journal articles that we retrieved. So there are many choices. There were reasons for this choice, but you also see what this choice caused, right? In any case, we're done with gambling for now. Let's move on to our next term. And remember, we don't do anything right now. We just leave this in our search history. It's so important to remember, search histories have numbers for every search and you can always reuse that search. So you don't have to worry about anything. You just start a new search, just start writing a new search from scratch. Our next search is going to be for stimulants, has specifically stimulant use as we specified here. So let's do some automatic term mapping for stimulant use. And oh, wow, we get an exclamation point. What is going on? Well, that exclamation mark is a warning from PubMed that tells us that the word use is pretty well useless. Why? Because it happens too often in searches. So PubMed tells us it will not be mapping it because it's too common and it's just not going to help our search. So essentially we're looking for stimulant. That's fair, I like that. And look at that. Our translation shows us that stimulant has our central nervous system stimulants as a mesh term, which is great. It also has central nervous system stimulants as a pharmacological action. That's fantastic. And then it breaks up central and nervous system and stimulant into everything. And then it has a phrase central nervous stimulants. So it actually goes to town with this. It loves this term. So we're happy with that. That's good mapping. Now, of course we have a number of other terms we could use and those are amphetamines and other specific stimulants like caffeine. So let's map a few. When we map caffeine, we also find that it has its own physaurus or mesh term, which is great. And then when we map a few of the other ones, we see that all of them have mesh terms including amphetamines as a general group. So here we're including amphetamines as mesh, amphetamines plural, amphetamines single, caffeine of course, modifinal. We have all of these stimulants included. So this is a very rich search for all these stimulants and it gives us more than 150 results. And our third concept is sleep deprivation. So let's do some automatic term mapping for that. So once again, we find out that we have a mesh term for sleep deprivation, fantastic. We also have an old fields, which means a text word sleep deprivation. So we're going to use those two in this search. So we have a small number of entries for gambling. We have a smallish number for sleep deprivation and absolutely huge number for our central nervous system stimulants. So that's fantastic. Now, of course, the final step is going to be adding all three of these using ants. So we will be limiting the search using ants. Now, quick question. What do you think will happen to the number of results when we combine 6,000, 13,000 and 150,000 together with ants? So we're going to focus this search, think about the final number and let's take a look at what we're going to do. So we're going to use the Boolean operator and to combine all the chunks and to do overlap. And we got, oh wow, we only got two. And we see in our search history that the way we combined our single concept queries that we used to probe all the concepts is by using the Boolean operator and it was a search. Look how simple it is. We just use the line numbers of the searches from our search history. So it's extremely modular. It's a little bit like computer programming, but we only have two results. Wow. So this is brutal. It just shows us that most likely our gambling is very much a bottleneck and bottlenecks are common and there are strategies for dealing with bottlenecks. So let's take a look at the two that we got. They're actually very good. They are both about the effects of stimulants on decision-making in sleep deprived humans. And again, the decision-making is totally about gambling. I'm actually looking at the paper number two. It's a little bit more about decision-making than just gambling. So interesting there. So these are relevant, but how do we get more similar or related studies? There are so many ways. So first of all, look at that. Who's the first author? In both cases, it is W.D. Kilgore. So we see a lead researcher already. Key authors can often be found as the names of researchers. And again, they should be leading labs that repeat from article on the same topic from article to article, right? And we see that between 2007, that's article number two, and 2012, that's article number one, the collaborators have changed. So these are likely graduate students, post-doctoral fellows or lab assistants, and maybe even undergrad students. So you see that Kilgore stays the same. And very often the lead researcher is last, not necessarily first. So as long as you see a stable name does not have to be placed first. One of the ways of expanding on the search is to go into each of these and look at the mesh thesaurus terms that were offered for each of them. And you'll find that thesaurus terms were multiple. Many of them were much more expansive, much more general than the terms we selected. So we can see that our search selected too few terms and they were already too specific. So we see that there is even a thesaurus term decision-making forward slash drug effects. That's fantastic. We probably want that one. We are interested in neuropsychological tests. We're interested in risk-taking as a separate area. We're interested in also, well, physiological correlates or physiological study of arousal. There are so many really good mesh terms. So I would say rate these terms, include them in future iterations of your search and watch results grow. And hopefully, again, not grow out of bounds to make your searches too, too, too sensitive. So again, to keep them relatively precise. So I just want to include one more quick thing. This is the proximity operator. Proximity operators are present in some ProQuest databases. PubMed doesn't have them. So I couldn't show them to you in PubMed. But proximity operators, such as within, near, and pre, which is before, happen in a variety of databases, particularly in our citation indexes. So this is the w or within and pre or pre was sent for before, operators in Scopus. And I'll show you the syntax for using each of those. They're incredibly useful because that term in the forward slash is the number that the two terms you're searching for can be separated by. So if you do w forward slash four, whatever two terms you have, let's say caffeine and sleep deprivation, you will be able to find both of them one first, one second, doesn't matter within four terms. So there are a few rules of thumb. For example, when you do within eight, that usually covers a sentence. When you do within 12, 15, up to 28, it covers a paragraph. So there are real ways of tweaking this, especially in the citation indexes.