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Title

Accuracy of MRI Classification Algorithms in a Tertiary Memory Center Clinical Routine Cohort

Authors
Morin, Alexandre
Samper-Gonzalez, Jorge
Bertrand, Anne
Ströer, Sébastian
Dormont, Didier
Coupé, Pierrick
Ahdidan, Jamila
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Published in Journal of Alzheimer's Disease. 2020, vol. 74, no. 4, p. 1157-1166
Abstract Automated volumetry software (AVS) has recently become widely available to neuroradiologists. MRI volumetry with AVS may support the diagnosis of dementias by identifying regional atrophy. Moreover, automatic classifiers using machine learning techniques have recently emerged as promising approaches to assist diagnosis. However, the performance of both AVS and automatic classifiers have been evaluated mostly in the artificial setting of research datasets. Objective: Our aim was to evaluate the performance of two AVS and an automatic classifier in the clinical routine condition of a memory clinic.
Keywords All cognitive disorders/dementiaAlzheimer’s diseaseAssessment of cognitive disorders/dementiaMagnetic resonance imagingVolumetric MRI
Identifiers
PMID: 32144978
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Article (Published version) (299 Kb) - document accessible for UNIGE members only Limited access to UNIGE
Article (Accepted version) (557 Kb) - public document Free access
Research group Démence du sujet âgé, troubles cognitifs, la symptomatologie cognitive (577)
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(ISO format)
MORIN, Alexandre et al. Accuracy of MRI Classification Algorithms in a Tertiary Memory Center Clinical Routine Cohort. In: Journal of Alzheimer's Disease, 2020, vol. 74, n° 4, p. 1157-1166. doi: 10.3233/JAD-190594 https://archive-ouverte.unige.ch/unige:153125

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Deposited on : 2021-07-19

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