Development and evaluation of a manual segmentation protocol for deep grey matter in multiple sclerosis: Towards accelerated semi-automated references
| Autor: | Massimo Filippi, Jessica Burggraaff, Jette L. Frederiksen, Claudio Gasperini, Jaume Sastre-Garriga, Frederik Barkhof, Marios C. Yiannakas, Christian Enzinger, Mike P. Wattjes, Menno M. Schoonheim, Bernard M. J. Uitdehaag, Maria A. Rocca, Antonio Gallo, Serena Ruggieri, Deborah Pareto, Hugo Vrenken, Yaou Liu, Ludwig Kappos, Alexandra de Sitter, Michael Amann, Miklos Palotai, Charles R.G. Guttmann, Stefan Ropele, Jorge Simoes, Fabian Bartel, Katharina Schregel |
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| Přispěvatelé: | Radiology and nuclear medicine, Neurology, Amsterdam Neuroscience - Neuroinfection & -inflammation, Anatomy and neurosciences, Amsterdam Neuroscience - Brain Imaging, Other Research, de Sitter, A., Burggraaff, J., Bartel, F., Palotai, M., Liu, Y., Simoes, J., Ruggieri, S., Schregel, K., Ropele, S., Rocca, M. A., Gasperini, C., Gallo, A., Schoonheim, M. M., Amann, M., Yiannakas, M., Pareto, D., Wattjes, M. P., Sastre-Garriga, J., Kappos, L., Filippi, M., Enzinger, C., Frederiksen, J., Uitdehaag, B., Guttmann, C. R. G., Barkhof, F., Vrenken, H. |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Atrophy
Deep grey matter MRI Multiple Sclerosis Reference set Segmentation Jaccard index Computer science Cognitive Neuroscience Computer applications to medicine. Medical informatics R858-859.7 Reproducibility of Result Grey matter 050105 experimental psychology 03 medical and health sciences 0302 clinical medicine Thalamus Multiple Sclerosi medicine Humans 0501 psychology and cognitive sciences Radiology Nuclear Medicine and imaging Gray Matter RC346-429 Thalamu Reliability (statistics) Protocol (science) Reproducibility business.industry Multiple sclerosis 05 social sciences Reproducibility of Results Regular Article Pattern recognition medicine.disease Magnetic Resonance Imaging medicine.anatomical_structure Neurology Manual segmentation Neurology. Diseases of the nervous system Neurology (clinical) Artificial intelligence business 030217 neurology & neurosurgery Human |
| Zdroj: | Dipòsit Digital de Documents de la UAB Universitat Autònoma de Barcelona NeuroImage: Clinical, 30:102659. Elsevier BV de Sitter, A, Burggraaff, J, Bartel, F, Palotai, M, Liu, Y, Simoes, J, Ruggieri, S, Schregel, K, Ropele, S, Rocca, M A, Gasperini, C, Gallo, A, Schoonheim, M M, Amann, M, Yiannakas, M, Pareto, D, Wattjes, M P, Sastre-Garriga, J, Kappos, L, Filippi, M, Enzinger, C, Frederiksen, J, Uitdehaag, B, Guttmann, C R G, Barkhof, F & Vrenken, H 2021, ' Development and evaluation of a manual segmentation protocol for deep grey matter in multiple sclerosis: Towards accelerated semi-automated references ', NeuroImage: Clinical, vol. 30, 102659 . https://doi.org/10.1016/j.nicl.2021.102659 NeuroImage: Clinical, Vol 30, Iss, Pp 102659-(2021) NeuroImage : Clinical de Sitter, A, Burggraaff, J, Bartel, F, Palotai, M, Liu, Y, Simoes, J, Ruggieri, S, Schregel, K, Ropele, S, Rocca, M A, Gasperini, C, Gallo, A, Schoonheim, M M, Amann, M, Yiannakas, M, Pareto, D, Wattjes, M P, Sastre-Garriga, J, Kappos, L, Filippi, M, Enzinger, C, Frederiksen, J, Uitdehaag, B, Guttmann, C R G, Barkhof, F & Vrenken, H 2021, ' Development and evaluation of a manual segmentation protocol for deep grey matter in multiple sclerosis : Towards accelerated semi-automated references ', NeuroImage: Clinical, vol. 30, 102659 . https://doi.org/10.1016/j.nicl.2021.102659 |
| ISSN: | 2213-1582 |
| DOI: | 10.1016/j.nicl.2021.102659 |
| Popis: | Background 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. Objectives 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). Methods 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. Results All structures showed excellent agreement on expert manual outlines: intra-rater JI > 0.83; inter-rater ICC ≥ 0.76 and CIgen ≥ 0.74. FASTSURF reproduced manual references excellently, with ICC ≥ 0.97 and JI ≥ 0.92. Conclusions The manual dGM segmentation protocol showed excellent reproducibility within and between raters. Moreover, combined with FASTSURF a reliable reference set of dGM segmentations can be produced with lower workload. |
| Databáze: | OpenAIRE |
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