Normal cohorts in automated brain atrophy estimation: how many healthy subjects to include?

Atrophy Brain Image processing (computer-assisted) Magnetic resonance imaging Neurodegenerative diseases

Journal

European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774

Informations de publication

Date de publication:
08 Jan 2024
Historique:
received: 03 04 2023
accepted: 25 11 2023
revised: 17 11 2023
medline: 8 1 2024
pubmed: 8 1 2024
entrez: 8 1 2024
Statut: aheadofprint

Résumé

This study investigates the influence of normal cohort (NC) size and the impact of different NCs on automated MRI-based brain atrophy estimation. A pooled NC of 3945 subjects (NC The maximum knee point was at 15 subjects. For 21 AD/21 HC, a sufficient number of subjects were available in each NC for validation. Readers agreed on the AD diagnosis in all cases (Kappa for the extent of atrophy, 0.98). No differences in diagnoses between NCs were observed (intraclass correlation coefficient, 0.91; Cochran's Q, p = 0.19). At least 15 subjects should be included in age- and sex-specific normal templates for consistent brain atrophy estimation. In the study's context, qualitative interpretation of regional atrophy allows reliable AD diagnosis with a high inter-reader agreement, irrespective of the NC used. The influence of normal cohorts (NCs) on automated brain atrophy estimation, typically comparing individual scans to NCs, remains largely unexplored. Our study establishes the minimum number of NC-subjects needed and demonstrates minimal impact of different NCs on regional atrophy estimation. • Software-based brain atrophy estimation often relies on normal cohorts for comparisons. • At least 15 subjects must be included in an age- and sex-specific normal cohort. • Using different normal cohorts does not influence regional atrophy estimation.

Identifiants

DOI: 10.1007/s00330-023-10522-5 PMID: 38189981
pubmed: 38189981
doi: 10.1007/s00330-023-10522-5
pii: 10.1007/s00330-023-10522-5
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Deutsche Forschungsgemeinschaft
ID : DA 2167/1-1

Informations de copyright

© 2024. The Author(s).

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Auteurs

Christian Rubbert (C)

Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University, Düsseldorf, Germany. christian.rubbert@med.uni-duesseldorf.de.
ORCID: 0000-0002-9461-1173

Luisa Wolf (L)

Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University, Düsseldorf, Germany.

Marius Vach (M)

Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University, Düsseldorf, Germany.

Vivien L Ivan (VL)

Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University, Düsseldorf, Germany.

Dennis M Hedderich (DM)

Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, D-81675, Munich, Germany.

Christian Gaser (C)

Department of Psychiatry and Psychotherapy, Jena University Hospital, D-07745, Jena, Germany.
Department of Neurology, Jena University Hospital, D-07745, Jena, Germany.
German Center for Mental Health (DZPG), Jena, Germany.

Robert Dahnke (R)

Department of Psychiatry and Psychotherapy, Jena University Hospital, D-07745, Jena, Germany.
Department of Neurology, Jena University Hospital, D-07745, Jena, Germany.
German Center for Mental Health (DZPG), Jena, Germany.
Center of Functionally Integrative Neuroscience, Aarhus University, 8000, Aarhus, Denmark.

Julian Caspers (J)

Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University, Düsseldorf, Germany.

Classifications MeSH