作者
P Roca, A Attye, L Colas, A Tucholka, P Rubini, S Cackowski, J Ding, J-F Budzik, F Renard, S Doyle, EL Barbier, I Bousaid, R Casey, S Vukusic, N Lassau, S Verclytte, F Cotton, B Brochet, J De Sèze, P Douek, F Guillemin, D Laplaud, C Lebrun-Frenay, L Mansuy, T Moreau, J Olaiz, J Pelletier, C Rigaud-Bully, B Stankoff, R Marignier, M Debouverie, G Edan, J Ciron, A Ruet, N Collongues, C Lubetzki, P Vermersch, P Labauge, G Defer, M Cohen, A Fromont, S Wiertlewsky, E Berger, P Clavelou, B Audoin, C Giannesini, O Gout, E Thouvenot, O Heinzlef, A Al-Khedr, B Bourre, O Casez, P Cabre, A Montcuquet, A Créange, J-P Camdessanché, J Faure, A Maurousset, I Patry, K Hankiewicz, C Pottier, N Maubeuge, C Labeyrie, C Nifle, R Ameli, R Anxionnat, E Bannier, C Barillot, D Ben Salem, M-P Boncoeur-Martel, F Bonneville, C Boutet, J-C Brisset, F Cervenanski, B Claise, O Commowick, J-M Constans, P Dardel, H Desal, Vincent Dousset, F Durand-Dubief, J-C Ferre, E Gerardin, T Glattard, S Grand, T Grenier, R Guillevin, C Guttmann, A Krainik, S Kremer, S Lion, N Menjot de Champfleur, L Mondot, O Outteryck, N Pyatigorskaya, J-P Pruvo, S Rabaste, J-P Ranjeva, J-A Roch, JC Sadik, D Sappey-Marinier, J Savatovsky, J-Y Tanguy, A Tourbah, T Tourdias, OFSEP Investigators
发表日期
2020/12/1
期刊
Diagnostic and Interventional Imaging
卷号
101
期号
12
页码范围
795-802
出版商
Elsevier Masson
简介
Purpose
The purpose of this study was to create an algorithm that combines multiple machine-learning techniques to predict the expanded disability status scale (EDSS) score of patients with multiple sclerosis at two years solely based on age, sex and fluid attenuated inversion recovery (FLAIR) MRI data.
Materials and methods
Our algorithm combined several complementary predictors: a pure deep learning predictor based on a convolutional neural network (CNN) that learns from the images, as well as classical machine-learning predictors based on random forest regressors and manifold learning trained using the location of lesion load with respect to white matter tracts. The aggregation of the predictors was done through a weighted average taking into account prediction errors for different EDSS ranges. The training dataset consisted of 971 multiple sclerosis patients from the “Observatoire français de la sclérose …
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P Roca, A Attye, L Colas, A Tucholka, P Rubini… - Diagnostic and Interventional Imaging, 2020