Literature DB >> 27109039

Amyloid status imputed from a multimodal classifier including structural MRI distinguishes progressors from nonprogressors in a mild Alzheimer's disease clinical trial cohort.

Duygu Tosun1, Yun-Fei Chen2, Peng Yu2, Karen L Sundell2, Joyce Suhy3, Eric Siemers2, Adam J Schwarz2, Michael W Weiner4.   

Abstract

INTRODUCTION: Mild-Alzheimer's disease (AD) subjects without significant Aβ pathology represent a confounding finding for clinical trials because they may not progress clinically on the expected trajectory, adding variance into analyses where slowing of progression is being measured.
METHODS: A prediction model based on structural magnetic resonance imaging (MRI) in combination with baseline demographics and clinical measurements was used to impute Aβ status of a placebo-treated mild-AD sub-cohort (N = 385) of patients participating in global phase 3 trials. The clinical trajectories of this cohort were evaluated over 18 months duration of the trial, stratified by imputed Aβ status within a mixed-model repeated measures statistical framework.
RESULTS: In the imputed Aβ-positive cohort, both cognitive (ADAS-Cog14 and MMSE) and functional (ADCS-iADL) measures declined more rapidly than in the undifferentiated population. DISCUSSION: Our results demonstrate imputing Aβ status from MRI scans in mild-AD subjects may be a useful screening tool in global clinical trials if amyloid measurement is not available.
Copyright © 2016 The Alzheimer's Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  ADAS-Cog14; ADCS-iADL; Alzheimer's disease; Aβ pathology; Aβ-positivity; Clinical decline; Florbetapir PET; MMSE; Structural MRI

Mesh:

Substances:

Year:  2016        PMID: 27109039     DOI: 10.1016/j.jalz.2016.03.009

Source DB:  PubMed          Journal:  Alzheimers Dement        ISSN: 1552-5260            Impact factor:   21.566


  14 in total

1.  Disentangling Normal Aging From Severity of Disease via Weak Supervision on Longitudinal MRI.

Authors:  Jiahong Ouyang; Qingyu Zhao; Ehsan Adeli; Greg Zaharchuk; Kilian M Pohl
Journal:  IEEE Trans Med Imaging       Date:  2022-09-30       Impact factor: 11.037

2.  Predicting amyloid status using self-report information from an online research and recruitment registry: The Brain Health Registry.

Authors:  Miriam T Ashford; John Neuhaus; Chengshi Jin; Monica R Camacho; Juliet Fockler; Diana Truran; R Scott Mackin; Gil D Rabinovici; Michael W Weiner; Rachel L Nosheny
Journal:  Alzheimers Dement (Amst)       Date:  2020-09-24

3.  Predicting future cognitive decline with hyperbolic stochastic coding.

Authors:  Jie Zhang; Qunxi Dong; Jie Shi; Qingyang Li; Cynthia M Stonnington; Boris A Gutman; Kewei Chen; Eric M Reiman; Richard J Caselli; Paul M Thompson; Jieping Ye; Yalin Wang
Journal:  Med Image Anal       Date:  2021-02-24       Impact factor: 8.545

Review 4.  Graph Models of Pathology Spread in Alzheimer's Disease: An Alternative to Conventional Graph Theoretic Analysis.

Authors:  Ashish Raj
Journal:  Brain Connect       Date:  2021-05-25

5.  MRI Characterizes the Progressive Course of AD and Predicts Conversion to Alzheimer's Dementia 24 Months Before Probable Diagnosis.

Authors:  Christian Salvatore; Antonio Cerasa; Isabella Castiglioni
Journal:  Front Aging Neurosci       Date:  2018-05-24       Impact factor: 5.750

6.  Applying surface-based morphometry to study ventricular abnormalities of cognitively unimpaired subjects prior to clinically significant memory decline.

Authors:  Qunxi Dong; Wen Zhang; Cynthia M Stonnington; Jianfeng Wu; Boris A Gutman; Kewei Chen; Yi Su; Leslie C Baxter; Paul M Thompson; Eric M Reiman; Richard J Caselli; Yalin Wang
Journal:  Neuroimage Clin       Date:  2020-07-05       Impact factor: 4.881

7.  Practical algorithms for amyloid β probability in subjective or mild cognitive impairment.

Authors:  Nancy Maserejian; Shijia Bian; Wenting Wang; Judith Jaeger; Jeremy A Syrjanen; Jeremiah Aakre; Clifford R Jack; Michelle M Mielke; Feng Gao
Journal:  Alzheimers Dement (Amst)       Date:  2019-10-22

8.  Detection of β-amyloid positivity in Alzheimer's Disease Neuroimaging Initiative participants with demographics, cognition, MRI and plasma biomarkers.

Authors:  Duygu Tosun; Dallas Veitch; Paul Aisen; Clifford R Jack; William J Jagust; Ronald C Petersen; Andrew J Saykin; James Bollinger; Vitaliy Ovod; Kwasi G Mawuenyega; Randall J Bateman; Leslie M Shaw; John Q Trojanowski; Kaj Blennow; Henrik Zetterberg; Michael W Weiner
Journal:  Brain Commun       Date:  2021-02-02

9.  Machine learning approaches to predicting amyloid status using data from an online research and recruitment registry: The Brain Health Registry.

Authors:  Jack Albright; Miriam T Ashford; Chengshi Jin; John Neuhaus; Gil D Rabinovici; Diana Truran; Paul Maruff; R Scott Mackin; Rachel L Nosheny; Michael W Weiner
Journal:  Alzheimers Dement (Amst)       Date:  2021-06-09

10.  Predicting future rates of tau accumulation on PET.

Authors:  Clifford R Jack; Heather J Wiste; Stephen D Weigand; Terry M Therneau; Val J Lowe; David S Knopman; Hugo Botha; Jonathan Graff-Radford; David T Jones; Tanis J Ferman; Bradley F Boeve; Kejal Kantarci; Prashanthi Vemuri; Michelle M Mielke; Jennifer Whitwell; Keith Josephs; Christopher G Schwarz; Matthew L Senjem; Jeffrey L Gunter; Ronald C Petersen
Journal:  Brain       Date:  2020-10-01       Impact factor: 13.501

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