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In this study, we validate our previously developed automated tool using ventricular features (known as VentRa) for the classification of behavioural variant frontotemporal dementia versus a mixed cohort of neurodegenerative, vascular and psychiatric disorders from a clinically representative independent dataset. Lateral ventricles were segmented for 1110 subjects\u201414 behavioural variant frontotemporal dementia, 30 other frontotemporal dementia, 70 Lewy body disease, 898 Alzheimer\u2019s disease, 62 vascular brain injury and 36 primary psychiatric disorder from the publicly accessible National Alzheimer\u2019s Coordinating Center dataset to assess the performance of VentRa. Using ventricular features to discriminate behavioural variant frontotemporal dementia subjects from primary psychiatric disorders, VentRa achieved an accuracy rate of 84%, a sensitivity rate of 71% and a specificity rate of 89%. VentRa was able to identify behavioural variant frontotemporal dementia from a mixed age\u2013matched cohort (i.e. other frontotemporal dementia, Lewy body disease, Alzheimer\u2019s disease, vascular brain injury and primary psychiatric disorders) and to correctly classify other disorders as \u2018not compatible with behavioral variant frontotemporal dementia\u2019 with a specificity rate of 83%. The specificity rates against each of the other individual cohorts were 80% for other frontotemporal dementia, 83% for Lewy body disease, 83% for Alzheimer\u2019s disease, 84% for vascular brain injury and 89% for primary psychiatric disorders. VentRa is a robust and generalizable tool with potential usefulness for improving the diagnostic certainty of behavioural variant frontotemporal dementia, particularly for the differential diagnosis with primary psychiatric disorders.<\/jats:p>","DOI":"10.1093\/braincomms\/fcae069","type":"journal-article","created":{"date-parts":[[2024,2,27]],"date-time":"2024-02-27T23:35:52Z","timestamp":1709076952000},"source":"Crossref","is-referenced-by-count":2,"title":["VentRa: distinguishing frontotemporal dementia from psychiatric disorders"],"prefix":"10.1093","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1639-6858","authenticated-orcid":false,"given":"Ana L","family":"Manera","sequence":"first","affiliation":[{"name":"McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University , Montreal, QC H3A 2B4 , 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