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Quantifying the Limits of Tau PET in Detecting Early Alzheimer's Disease
Quantifying the Limits of Tau PET in Detecting Early Alzheimer's Disease
Quantifying the Limits of Tau PET in Detecting Early Alzheimer's Disease

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자료유형  
 학위논문 서양
최종처리일시  
20260202105314
ISBN  
9798265430472
DDC  
616
저자명  
McVea, Andrew.
서명/저자  
Quantifying the Limits of Tau PET in Detecting Early Alzheimers Disease
발행사항  
[Sl] : The University of Wisconsin - Madison, 2025
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2025
형태사항  
168 p
주기사항  
Source: Dissertations Abstracts International, Volume: 87-05, Section: B.
주기사항  
Advisor: Christian, Bradely T.
학위논문주기  
Thesis (Ph.D.)--The University of Wisconsin - Madison, 2025.
초록/해제  
요약Alzheimer's disease (AD) is a neurodegenerative disease characterized by the aggregation of beta-amyloid plaques (Aβ) and accumulation of neurofibrillary tangles (NFTs) in the cortex. The spread of NFTs with advancing AD follows a hierarchical pattern starting in the entorhinal cortex (ERC) before progressing throughout the cerebral grey matter following the neuropathologically defined Braak stages. Accumulation of NFTs is associated with neuronal cell death and the cognitive decline typified by AD over the disease time course. Positron emission tomography (PET) imaging is highly sensitive tool that can be used to track the aggregation of Aβ plaques and accumulation of NFT tau in vivo, before the onset of AD-related cognitive symptoms in some imaging study participants. [F-18]MK6240 is a tau PET radioligand that binds to NFTs in AD with high affinity and can be used to evaluate the distribution of tau pathology in PET imaging participants across the AD continuum. Recent advances in AD interventional therapies targeting Aβ deposits and NFTs have incorporated tau PET alongside other imaging markers as outcomes of drug efficacy in slowing the progression of AD in clinical trial cohorts. As clinical trials and AD therapeutic agents further explore mechanisms for AD prevention in high risk, cognitively unimpaired populations, the ability of tau PET to identify and evaluate NFT burden at low levels before cognitive impairment is becoming increasingly important. In this dissertation work the progression of NFT pathology across the AD spectrum is characterized and the ability of tau PET to detect subtle changes in NFT burden in vivo is evaluated based on radioligand binding information from a combination of postmortem binding assays and PET imaging metrics. ERC tissue samples from seven human donors were identified covering the range of NFT pathology spread observed in AD and underwent postmortem tissue binding assays to evaluate the range of concentration and spatial distribution of MK6240 binding to NFTs in human tissue. An increase in MK6240 target binding density, measured using saturation binding assays, and spread of NFTs through the ERC cortical layers, measured using immunohistochemistry (IHC) and autoradiography (ARG), is observed in tissue samples with increasing postmortem pathology scores in the ERC. These high-resolution postmortem binding findings were correlated with population-based tau PET imaging measures using [F-18]MK6240 in a large PET imaging population. The temporal progression of tau PET signal is modeled with a logistic growth curve that covers the spectrum of NFT burden in AD that can be directly compared to the range of postmortem tissue binding outcomes. In characterizing the spread of [F-18]MK6240 binding with increases in NFT burden, a more sensitive standardized uptake value ratio (SUVR) positivity threshold was developed that incorporates off-target signal in the meninges surrounding target regions in the ERC and medial temporal lobe (MTL). Utilizing this threshold, tau positivity maps modeling the regions of elevated volumes of tau PET signal across the [F-18]MK6240 imaging population were generated to demonstrate the progression of tau PET signal throughout the ERC and temporal lobe. Simulations representing [F-18]MK6240 PET images incorporating derived postmortem binding metrics and tau PET outcomes were created to probe the limits of tau PET to identify localized increases of NFT burden in the ERC. Based on the radiotracer distributions observed in Aβ- [F-18]MK6240 PET scans this simulation framework was validated and then simulations with NFT burden increases corresponding to values identified in tissue binding assays were generated to represent realistic pathology and tracer binding in a PET imaging context. Based on these simulations NFT burden associated with moderate to advanced spread through the cortex (associated with a Braak III pathology score and beyond) could be reliably identified with [F-18]MK6240 imaging. This dissertation work characterizes increasing AD-related tau pathology in postmortem tissue samples and in vivo tau PET imaging capturing the range of NFT pathology and [F-18]MK6240 binding across the AD spectrum. The findings presented here demonstrate the utility of tau PET for evaluating subtle changes in NFT burden in early AD regions and introduces methods for improving detection sensitivity for use in research studies, clinical trials and beyond.
일반주제명  
Medical imaging
일반주제명  
Neurosciences
일반주제명  
Pathology
키워드  
Alzheimer's disease
키워드  
Neurodegeneration
키워드  
Postmortem binding assays
키워드  
Tau positivity
기타저자  
The University of Wisconsin - Madison Medical Physics
기본자료저록  
Dissertations Abstracts International. 87-05B.
전자적 위치 및 접속  
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■1001  ▼aMcVea,  Andrew.
■24510▼aQuantifying  the  Limits  of  Tau  PET  in  Detecting  Early  Alzheimer's  Disease
■260    ▼a[Sl]▼bThe  University  of  Wisconsin  -  Madison▼c2025
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2025
■300    ▼a168  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  87-05,  Section:  B.
■500    ▼aAdvisor:  Christian,  Bradely  T.
■5021  ▼aThesis  (Ph.D.)--The  University  of  Wisconsin  -  Madison,  2025.
■520    ▼aAlzheimer's  disease  (AD)  is  a  neurodegenerative  disease  characterized  by  the  aggregation  of  beta-amyloid  plaques  (Aβ)  and  accumulation  of  neurofibrillary  tangles  (NFTs)  in  the  cortex.  The  spread  of  NFTs  with  advancing  AD  follows  a  hierarchical  pattern  starting  in  the  entorhinal  cortex  (ERC)  before  progressing  throughout  the  cerebral  grey  matter  following  the  neuropathologically  defined  Braak  stages.  Accumulation  of  NFTs  is  associated  with  neuronal  cell  death  and  the  cognitive  decline  typified  by  AD  over  the  disease  time  course.  Positron  emission  tomography  (PET)  imaging  is  highly  sensitive  tool  that  can  be  used  to  track  the  aggregation  of  Aβ  plaques  and  accumulation  of  NFT  tau  in  vivo,  before  the  onset  of  AD-related  cognitive  symptoms  in  some  imaging  study  participants.  [F-18]MK6240  is  a  tau  PET  radioligand  that  binds  to  NFTs  in  AD  with  high  affinity  and  can  be  used  to  evaluate  the  distribution  of  tau  pathology  in  PET  imaging  participants  across  the  AD  continuum.  Recent  advances  in  AD  interventional  therapies  targeting  Aβ  deposits  and  NFTs  have  incorporated  tau  PET  alongside  other  imaging  markers  as  outcomes  of  drug  efficacy  in  slowing  the  progression  of  AD  in  clinical  trial  cohorts.  As  clinical  trials  and  AD  therapeutic  agents  further  explore  mechanisms  for  AD  prevention  in  high  risk,  cognitively  unimpaired  populations,  the  ability  of  tau  PET  to  identify  and  evaluate  NFT  burden  at  low  levels  before  cognitive  impairment  is  becoming  increasingly  important.  In  this  dissertation  work  the  progression  of  NFT  pathology  across  the  AD  spectrum  is  characterized  and  the  ability  of  tau  PET  to  detect  subtle  changes  in  NFT  burden  in  vivo  is  evaluated  based  on  radioligand  binding  information  from  a  combination  of  postmortem  binding  assays  and  PET  imaging  metrics.  ERC  tissue  samples  from  seven  human  donors  were  identified  covering  the  range  of  NFT  pathology  spread  observed  in  AD  and  underwent  postmortem  tissue  binding  assays  to  evaluate  the  range  of  concentration  and  spatial  distribution  of  MK6240  binding  to  NFTs  in  human  tissue.  An  increase  in  MK6240  target  binding  density,  measured  using  saturation  binding  assays,  and  spread  of  NFTs  through  the  ERC  cortical  layers,  measured  using  immunohistochemistry  (IHC)  and  autoradiography  (ARG),  is  observed  in  tissue  samples  with  increasing  postmortem  pathology  scores  in  the  ERC.  These  high-resolution  postmortem  binding  findings  were  correlated  with  population-based  tau  PET  imaging  measures  using  [F-18]MK6240  in  a  large  PET  imaging  population.  The  temporal  progression  of  tau  PET  signal  is  modeled  with  a  logistic  growth  curve  that  covers  the  spectrum  of  NFT  burden  in  AD  that  can  be  directly  compared  to  the  range  of  postmortem  tissue  binding  outcomes.  In  characterizing  the  spread  of  [F-18]MK6240  binding  with  increases  in  NFT  burden,  a  more  sensitive  standardized  uptake  value  ratio  (SUVR)  positivity  threshold  was  developed  that  incorporates  off-target  signal  in  the  meninges  surrounding  target  regions  in  the  ERC  and  medial  temporal  lobe  (MTL).  Utilizing  this  threshold,  tau  positivity  maps  modeling  the  regions  of  elevated  volumes  of  tau  PET  signal  across  the  [F-18]MK6240  imaging  population  were  generated  to  demonstrate  the  progression  of  tau  PET  signal  throughout  the  ERC  and  temporal  lobe.  Simulations  representing  [F-18]MK6240  PET  images  incorporating  derived  postmortem  binding  metrics  and  tau  PET  outcomes  were  created  to  probe  the  limits  of  tau  PET  to  identify  localized  increases  of  NFT  burden  in  the  ERC.  Based  on  the  radiotracer  distributions  observed  in  Aβ-  [F-18]MK6240  PET  scans  this  simulation  framework  was  validated  and  then  simulations  with  NFT  burden  increases  corresponding  to  values  identified  in  tissue  binding  assays  were  generated  to  represent  realistic  pathology  and  tracer  binding  in  a  PET  imaging  context.  Based  on  these  simulations  NFT  burden  associated  with  moderate  to  advanced  spread  through  the  cortex  (associated  with  a  Braak  III  pathology  score  and  beyond)  could  be  reliably  identified  with  [F-18]MK6240  imaging.  This  dissertation  work  characterizes  increasing  AD-related  tau  pathology  in  postmortem  tissue  samples  and  in  vivo  tau  PET  imaging  capturing  the  range  of  NFT  pathology  and  [F-18]MK6240  binding  across  the  AD  spectrum.  The  findings  presented  here  demonstrate  the  utility  of  tau  PET  for  evaluating  subtle  changes  in  NFT  burden  in  early  AD  regions  and  introduces  methods  for  improving  detection  sensitivity  for  use  in  research  studies,  clinical  trials  and  beyond.
■590    ▼aSchool  code:  0262.
■650  4▼aMedical  imaging
■650  4▼aNeurosciences
■650  4▼aPathology
■653    ▼aAlzheimer's  disease
■653    ▼aNeurodegeneration
■653    ▼aPostmortem  binding  assays
■653    ▼aTau  positivity
■690    ▼a0574
■690    ▼a0317
■690    ▼a0571
■71020▼aThe  University  of  Wisconsin  -  Madison▼bMedical  Physics.
■7730  ▼tDissertations  Abstracts  International▼g87-05B.
■790    ▼a0262
■791    ▼aPh.D.
■792    ▼a2025
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17360169▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

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