Cited by 22Dementia and Cognitive Impairment ResearchMedical Image Segmentation TechniquesAlzheimer's disease research and treatments

Automatic temporal lobe atrophy assessment in prodromal AD: Data from the DESCRIPA study

Chincarini, Andrea, Bosco, Paolo, Gemme, Gianluca, Esposito, Mario, Rei, Luca, Squarcia, Sandro, Bellotti, Roberto, Minthon, Lennart +7 more·2014·Alzheimer's & Dementia

Abstract

Background: In the framework of the clinical validation of research tools, this investigation presents a validation study of an automatic medial temporal lobe atrophy measure that is applied to a naturalistic population sampled from memory clinic patients across Europe. Methods: The procedure was developed on 1.5‐T magnetic resonance images from the Alzheimer's Disease Neuroimaging Initiative database, and it was validated on an independent data set coming from the DESCRIPA study. All images underwent an automatic processing procedure to assess tissue atrophy that was targeted at the hippocampal region. For each subject, the procedure returns a classification index. Once provided with the clinical assessment at baseline and follow‐up, subjects were grouped into cohorts to assess classification performance. Each cohort was divided into converters (co) and nonconverters (nc) depending on the clinical outcome at follow‐up visit. Results: We found the area under the receiver operating characteristic curve (AUC) was 0.81 for all co versus nc subjects, and AUC was 0.90 for subjective memory complaint (SMCnc) versus all co subjects. Furthermore, when training on mild cognitive impairment (MCI‐nc/MCI‐co), the classification performance generally exceeds that found when training on controls versus Alzheimer's disease (CTRL/AD). Conclusions: Automatic magnetic resonance imaging analysis may assist clinical classification of subjects in a memory clinic setting even when images are not specifically acquired for automatic analysis.

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Crossref · 10.1016/j.jalz.2013.05.1774

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Authors
Chincarini, A., Bosco, P., Gemme, G., Esposito, M., Rei, L., Squarcia, S., Bellotti, R., Minthon, L., Frisoni, G., Scheltens, P., Frölich, L., Soininen, H., Visser, P., Nobili, F., & Initiative, A. D. N.
Affiliations
  • Istituto Nazionale di Fisica Nucleare, Sezione di Genova (IT)
  • Istituto Nazionale di Fisica Nucleare, Sezione di Bari (IT)
  • Lund University (SE)
  • Centro San Giovanni di Dio Fatebenefratelli (IT)
  • Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
  • Heidelberg University (DE)
  • University of Eastern Finland (FI)
  • Maastricht University (NL)
  • Ospedale Policlinico San Martino (IT)
Corresponding author
Chincarini, Andrea
Venue
Alzheimer's & Dementia
Publisher
Wiley
Published
2013-09-16
Volume
10
Issue
4
Pages
456-467
ISSN
  • 1552-5260 (ISSN-L)
  • 1552-5279
OpenAlex
W2043391145
Cited by
22
References
0
Citations by year
2025: 1 · 2024: 2 · 2023: 1 · 2022: 1 · 2021: 4 · 2020: 4 · 2018: 1 · 2017: 2 · 2016: 1 · 2015: 4 · 2014: 1
FWCI
1.42
Type
journal article
Language
en
Open access
closed
Locations
  • Alzheimer s & Dementia (publishedVersion)
  • PubMed (publishedVersion)
  • Research Publications (Maastricht University) (publishedVersion)
  • CINECA IRIS Institutial Research Information System (University of Genoa) (submittedVersion)
  • Lund University Publications (Lund University) (submittedVersion)
  • Pure Amsterdam UMC (submittedVersion)
  • CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro) (submittedVersion)
  • Research Publications (Maastricht University) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Funders
  • Istituto Nazionale di Fisica Nucleare
  • Università degli Studi di Genova
  • National Institutes of Health (U01 AG024904)
  • Canadian Institutes of Health Research
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
Keywords
medial temporal lobe atrophy, prodromal Alzheimer's disease
MeSH terms
Aged, Aged, 80 and over, Alzheimer Disease, Atrophy, Female, Follow-Up Studies, Hippocampus, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Mental Status Schedule, Temporal Lobe, Reproducibility of Results, Databases, Factual, Cognitive Dysfunction, Prodromal Symptoms

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