| Hauptseite > Publikationsdatenbank > A Volume‐Based Alternative for classifying ATN: Data from the Tau Propagation over Time (T‐POT) cohort > print |
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| 024 | 7 | _ | |a 10.1002/alz.082991 |2 doi |
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| 037 | _ | _ | |a FZJ-2024-02273 |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Doering, Elena |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
| 245 | _ | _ | |a A Volume‐Based Alternative for classifying ATN: Data from the Tau Propagation over Time (T‐POT) cohort |
| 260 | _ | _ | |a Hoboken, NJ |c 2023 |b Wiley |
| 336 | 7 | _ | |a article |2 DRIVER |
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| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
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| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a Background:Alzheimer’sdisease(AD)ischaracterizedbythecerebralaccumulationofamyloid-beta(A),tau(T),andprogressiveneurodegeneration(N).ThewidelyusedATNsystem,withregardtopositronemissiontomography(PET)biomarkers,catego-rizesADbasedonthemeansignalinspecificregionsofinterest(ROI).However,thisprocedure disregards the spatial extent of pathology and neurodegeneration. Here,weproposeanalternativequantificationofthevolume,i.e.,fillstates,ofA,TandNin(pre)-clinicalAD.Method:WeanalyzeddatafromtheTauPropagationoverTime(T-POT)study,includ-ingcognitivelyunimpairedindividuals(CU,n=58),andpatientswithmildcognitiveimpairment(MCI,n=20)orADdementia(n=4).C11-PIB-PET(A),18F-AV1451(T)andperfusion-phase18F-AV1451scans(N)werespatiallyandintensity-normalized(reference:cerebellum).ToquantifythevolumeofA,TandN,wez-standardizedandsubsequentlybinarizedallscanswithin–modalityusingaz-scorethreshold.Fillstateswerethencomputedasthesumofabnormalvoxelsrelativetoawhole-brainmask.Finally,meanfillstateswerecomparedacrossgroupsofclinicalstatus(CU,MCI,AD)andpartialcorrelationsofeitherfillstatesormeanPETsignalinestablished,tracer-specificROIswithcognitiveperformance(MMSE)werecomputed,adjustingforage,sexandeducation.Result:Meanfillstatesreflectedclinicalstatus,astheyincreasedwithdiseaseprogres-sion(CU:A=4%,T=4%,N=3%;MCI:A=15%,T=11%,N=4%;ADdementia:A=20%,T=23%,N=5%).Moreover,AandTfillstateswerenegativelyassociatedwithMMSE(rhoA=-.299,p<.001;rhoT=-.318,p<.01;rhoN=-.147,p=.20),whileassoci-Alzheimer’sDement.2023;19(Suppl.24):e082991.©2023theAlzheimer’sAssociation.1of2wileyonlinelibrary.com/journal/alzhttps://doi.org/10.1002/alz.0829912of2BIOMARKERSationsofmeanPETsignalandMMSEtendedtobeweaker(rhoA(global)=-.255,p=.03;rhoT(temporalmetaROI)=-.275,p=.01;rhoN(metaROI)=.179,p=.12).Conclusion:We present a competitive quantification scheme for ATN that is asso-ciated with both, clinical status and cognitive performance. These results, whilecurrently validated in a larger sample, suggest that the spatiotemporal dynamics ofpathologyandneurodegenerationintheADcontinuumarewellcapturedbyourmulti-parametricapproach,whichispossiblysuperiorcomparedtoclassificationfrommeanPETsignalintensity. |
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| 773 | _ | _ | |a 10.1002/alz.082991 |g Vol. 19, no. S24, p. e082991 |0 PERI:(DE-600)2201940-6 |n S24 |p e082991 |t Alzheimer's and dementia |v 19 |y 2023 |x 1552-5260 |
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