ArticleEuropean radiology2024
Normal cohorts in automated brain atrophy estimation: how many healthy subjects to include?
Christian Rubbert, Luisa Wolf, Marius Vach, Vivien L Ivan, Dennis M Hedderich, Christian Gaser, Robert Dahnke, Julian Caspers, Alzheimer’s Disease Neuroimaging Initiative
Open access · hybridAbstract read
In one paragraphArticle in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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What it found
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2 · The registryThe trial behind it
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3 · Its place in the literatureWho cites it
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4 · The recordCorrections and comments
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5 · Who and what moneyAuthors and funding
9 authors at 4 institutions in 2 countries.
Christian RubbertDepartment of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University, Düsseldorf, Germany. christian.rubbert@med.uni-duesseldorf.de.ORCID http://orcid.org/0000-0002-9461-1173 Luisa WolfDepartment of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University, Düsseldorf, Germany.
Marius VachDepartment of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University, Düsseldorf, Germany.
Vivien L IvanDepartment of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University, Düsseldorf, Germany.
Dennis M HedderichDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, D-81675, Munich, Germany.
Christian GaserDepartment of Psychiatry and Psychotherapy, Jena University Hospital, D-07745, Jena, Germany.
Robert DahnkeDepartment of Psychiatry and Psychotherapy, Jena University Hospital, D-07745, Jena, Germany.
Julian CaspersDepartment of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University, Düsseldorf, Germany.
Alzheimer’s Disease Neuroimaging Initiative
Düsseldorf University Hospital · DEAarhus University · DKJena University Hospital · DETechnical University of Munich · DE
Funding
Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0MWU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8MSmartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI Tammie Lee Smith Benzinger · 1985 to 2026
$69.5MThe natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI SCHINDLER, SUZANNE ELIZABETH · 2005 to 2025
$49.5MWashington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4MMAPPING THE HUMAN CONNECTOME DURING TYPICAL AGINGU01AG052564 · NIA · WASHINGTON UNIVERSITY · PI SALAT, DAVID H, TERPSTRA, MELISSA J · 2016 to 2020
$18.9MTHE XNAT IMAGING INFORMATICS PLATFORMR01EB009352 · NIBIB · WASHINGTON UNIVERSITY · PI Daniel Scott Marcus · 2009 to 2026
$9.3MDRIVING PERFORMANCE IN PRECLINICAL ALZHEIMER'S DISEASER01AG043434 · NIA · WASHINGTON UNIVERSITY · PI ROE, CATHERINE M · 2012 to 2016
$2.4MDeutsche Forschungsgemeinschaft DA 2167/1-1NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002345NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS R01 AG043434NIA NIH HHS U01 AG024904NIA NIH HHS U01 AG052564NIBIB NIH HHS R01 EB009352
6 · The paper itselfAbstract
objectivesThis study investigates the influence of normal cohort (NC) size and the impact of different NCs on automated MRI-based brain atrophy estimation.
methodsA pooled NC of 3945 subjects (NC
resultsThe 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).
conclusionAt 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. CLINICAL RELEVANCE STATEMENT: 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. KEY POINTS: • 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.
Indexed as
Alzheimer DiseaseAtrophyBrainMagnetic Resonance ImagingAgedAged, 80 and overFemaleGray MatterHealthy VolunteersHumansMaleMiddle AgedReference ValuesReproducibility of ResultsRetrospective StudiesAtrophyBrainImage processing (computer-assisted)Magnetic resonance imagingNeurodegenerative diseases
Identifiers
PMID38189981
PMCPMC11255074
OpenAlexW4390669964
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