Automatic temporal lobe atrophy assessment in prodromal AD: Data from the DESCRIPA study
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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Until recently, neuroimaging-based studies for classifying subjective cognitive decline have been scarce.
“However, until recently, neuroimaging-based studies for classifying SCD have been scarce [111, 126, 135, 204–206].”
From Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer's disease (2020) · cites this paper as [204]
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Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer's disease
Wang, X., Huang, W., Su, L., Xing, Y., Jessen, F., Sun, Y., Shu, N., & Han, Y. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00395-3 · Cited by 265 · see citing works
Lombardi, G., Crescioli, G., Cavedo, E., Lucenteforte, E., Casazza, G., Bellatorre, A.-G., Lista, C., Costantino, G., Frisoni, G., Virgili, G., et al. (2020) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd009628.pub2 · Cited by 214 · see citing works
Self-citation
- 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
- ORCID
- 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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