Development and evaluation of a manual segmentation protocol for deep grey matter in multiple sclerosis

Deep grey matter (dGM) structures, particularly the thalamus, are clinically relevant in multiple sclerosis (MS). However, segmentation of dGM in MS is challenging; labeled MS-specific reference sets are needed for objective evaluation and training of new methods. This study aimed to (i) create a st...

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Detalhes bibliográficos
Autores: de Sitter, Alexandra|||0000-0003-2579-9675, Burggraaff, Jessica|||0000-0002-9367-9686, Bartel, Fabian, Palotai, Miklos, Liu, Yaou, Simoes, Jorge, Ruggieri, Serena|||0000-0001-5287-3290, Schregel, Katharina, Ropele, Stefan|||0000-0002-5559-768X, Rocca, Maria A.|||0000-0003-2358-4320, Gasperini, Claudio|||0000-0002-3959-4067, Gallo, Antonio|||0000-0002-2203-6237, Schoonheim, Menno M.|||0000-0002-2504-6959, Amann, Michael, Yiannakas, Marios|||0000-0003-4986-446X, Pareto, Deborah|||0000-0001-7356-3769, Wattjes, Mike P., Sastre-Garriga, Jaume|||0000-0002-1589-2254, Kappos, Ludwig|||0000-0003-4175-5509, Filippi, Massimo|||0000-0002-5485-0479, Enzinger, Christian|||0000-0001-9764-7617, Frederiksen, Jette, Uitdehaag, Bernard, Guttmann, Charles R. G., Barkhof, Frederik|||0000-0003-3543-3706, Vrenken, Hugo|||0000-0001-9106-1172
Formato: artículo
Fecha de publicación:2021
País:España
Recursos:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:240392
Acesso em linha:https://ddd.uab.cat/record/240392
https://dx.doi.org/urn:doi:10.1016/j.nicl.2021.102659
Access Level:acceso abierto
Palavra-chave:Multiple Sclerosis
MRI
Deep grey matter
Atrophy
Segmentation
Reference set
Descrição
Resumo:Deep grey matter (dGM) structures, particularly the thalamus, are clinically relevant in multiple sclerosis (MS). However, segmentation of dGM in MS is challenging; labeled MS-specific reference sets are needed for objective evaluation and training of new methods. This study aimed to (i) create a standardized protocol for manual delineations of dGM; (ii) evaluate the reliability of the protocol with multiple raters; and (iii) evaluate the accuracy of a fast-semi-automated segmentation approach (FASTSURF). A standardized manual segmentation protocol for caudate nucleus, putamen, and thalamus was created, and applied by three raters on multi-center 3D T1-weighted MRI scans of 23 MS patients and 12 controls. Intra- and inter-rater agreement was assessed through intra-class correlation coefficient (ICC); spatial overlap through Jaccard Index (JI) and generalized conformity index (CIgen). From sparse delineations, FASTSURF reconstructed full segmentations; accuracy was assessed both volumetrically and spatially. All structures showed excellent agreement on expert manual outlines: intra-rater JI.

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