Autor(es):
Manera, Ana L ; Dadar, Mahsa ; Van Swieten, John Cornelis ; Borroni, Barbara ; Sanchez-Valle, Raquel ; Moreno, Fermin ; Laforce Jr, Robert ; Graff, Caroline ; Synofzik, Matthis ; Galimberti, Daniela ; Rowe, James Benedict ; Masellis, Mario ; Tartaglia, Maria Carmela ; Finger, Elizabeth ; Vandenberghe, Rik ; De Mendonça, Alexandre ; Tagliavini, Fabrizio ; Santana, Isabel ; Butler, Christopher R ; Gerhard, Alex ; Danek, Adrian ; Levin, Johannes ; Otto, Markus ; Frisoni, Giovanni ; Ghidoni, Roberta ; Sorbi, Sandro ; Rohrer, Jonathan Daniel ; Ducharme, Simon ; Collins, D Louis
Data: 2021
Identificador Persistente: http://hdl.handle.net/10451/50229
Origem: Repositório da Universidade de Lisboa
Descrição
Introduction: Structural brain imaging is paramount for the diagnosis of behavioural variant of frontotemporal dementia (bvFTD), but it has low sensitivity leading to erroneous or late diagnosis. Methods: A total of 515 subjects from two different bvFTD cohorts (training and independent validation cohorts) were used to perform voxel-wise morphometric analysis to identify regions with significant differences between bvFTD and controls. A random forest classifier was used to individually predict bvFTD from deformation-based morphometry differences in isolation and together with semantic fluency. Tenfold cross validation was used to assess the performance of the classifier within the training cohort. A second held-out cohort of genetically confirmed bvFTD cases was used for additional validation. Results: Average 10-fold cross-validation accuracy was 89% (82% sensitivity, 93% specificity) using only MRI and 94% (89% sensitivity, 98% specificity) with the addition of semantic fluency. In the separate validation cohort of definite bvFTD, accuracy was 88% (81% sensitivity, 92% specificity) with MRI and 91% (79% sensitivity, 96% specificity) with added semantic fluency scores. Conclusion: Our results show that structural MRI and semantic fluency can accurately predict bvFTD at the individual subject level within a completely independent validation cohort coming from a different and independent database.
