Hippocampal-amygdalo-ventricular atrophy score: Alzheimer disease detection using normative and pathological lifespan models.

Autor: Coupé P; CNRS, Univ. Bordeaux, Bordeaux INP, Talence, France., Manjón JV; ITACA, Universitat Politècnica de València, Valencia, Spain., Mansencal B; CNRS, Univ. Bordeaux, Bordeaux INP, Talence, France., Tourdias T; Inserm U1215 - Neurocentre Magendie, Bordeaux, France.; Service de neuroimagerie, CHU de Bordeaux, Bordeaux, France., Catheline G; INCIA, EPHE, Université PSL, Univ Bordeaux, CNRS, Bordeaux, France., Planche V; Univ. Bordeaux, CNRS, UMR 5293, Institut des Maladies Neurodégénératives, and Centre Mémoire Ressources Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, Bordeaux, France.
Jazyk: angličtina
Zdroj: Human brain mapping [Hum Brain Mapp] 2022 Jul; Vol. 43 (10), pp. 3270-3282. Date of Electronic Publication: 2022 Apr 07.
DOI: 10.1002/hbm.25850
Abstrakt: In this article, we present an innovative MRI-based method for Alzheimer disease (AD) detection and mild cognitive impairment (MCI) prognostic, using lifespan trajectories of brain structures. After a full screening of the most discriminant structures between AD and normal aging based on MRI volumetric analysis of 3,032 subjects, we propose a novel Hippocampal-Amygdalo-Ventricular Atrophy score (HAVAs) based on normative lifespan models and AD lifespan models. During a validation on three external datasets on 1,039 subjects, our approach showed very accurate detection (AUC ≥ 94%) of patients with AD compared to control subjects and accurate discrimination (AUC = 78%) between progressive MCI and stable MCI (during a 3-year follow-up). Compared to normative modeling, classical machine learning methods and recent state-of-the-art deep learning methods, our method demonstrated better classification performance. Moreover, HAVAs simplicity makes it fully understandable and thus well-suited for clinical practice or future pharmaceutical trials.
(© 2022 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.)
Databáze: MEDLINE
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