Detection of lesions in the optic nerve with magnetic resonance imaging using a 3D convolutional neural network
Martí-Juan, Gerard (Hospital Universitari Vall d'Hebron. Institut de Recerca)
Frías, Marcos (BCN Medtech)
Garcia-Vidal, Aran (Hospital Universitari Vall d'Hebron. Institut de Recerca)
Vidal-Jordana, Angela (Hospital Universitari Vall d'Hebron)
Alberich, Manel (Hospital Universitari Vall d'Hebron)
Calderon, Willem (Hospital Universitari Vall d'Hebron. Institut de Recerca)
Piella, Gemma (BCN Medtech)
Camara, Oscar (BCN Medtech)
Montalban, Xavier (Hospital Universitari Vall d'Hebron)
Sastre-Garriga, Jaume (Hospital Universitari Vall d'Hebron)
Rovira, Alex (Hospital Universitari Vall d'Hebron)
Pareto, Deborah (Hospital Universitari Vall d'Hebron)
Universitat Autònoma de Barcelona

Data:	2022
Resum:	Optic neuritis (ON) is one of the first manifestations of multiple sclerosis, a disabling disease with rising prevalence. Detecting optic nerve lesions could be a relevant diagnostic marker in patients with multiple sclerosis. We aim to create an automated, interpretable method for optic nerve lesion detection from MRI scans. We present a 3D convolutional neural network (CNN) model that learns to detect optic nerve lesions based on T2-weighted fat-saturated MRI scans. We validated our system on two different datasets (N = 107 and 62) and interpreted the behaviour of the model using saliency maps. The model showed good performance (68. 11% balanced accuracy) that generalizes to unseen data (64. 11%). The developed network focuses its attention to the areas that correspond to lesions in the optic nerve. The method shows robustness and, when using only a single imaging sequence, its performance is not far from diagnosis by trained radiologists with the same constraint. Given its speed and performance, the developed methodology could serve as a first step to develop methods that could be translated into a clinical setting.
Ajuts:	Instituto de Salud Carlos III PI18/00823 Instituto de Salud Carlos III PI19/00950
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Optic nerve ; Multiple sclerosis ; Deep learning ; CNN ; MRI ; Optic neuritis
Publicat a:	NeuroImage, Vol. 36 (september 2022) , ISSN 2213-1582

DOI: 10.1016/j.nicl.2022.103187
PMID: 36126515

8 p, 1.4 MB

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