Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
de, Sitter, A; Burggraaff, J; Bartel, F; Palotai, M; Liu, Y; Simoes, J; Ruggieri, S; Schregel, K; Ropele, S; Rocca, MA; Gasperini, C; Gallo, A; Schoonheim, MM; Amann, M; Yiannakas, M; Pareto, D; Wattjes, MP; Sastre-Garriga, J; Kappos, L; Filippi, M; Enzinger, C; Frederiksen, J; Uitdehaag, B; Guttmann, CRG; Barkhof, F; Vrenken, H.
Development and evaluation of a manual segmentation protocol for deep grey matter in multiple sclerosis: Towards accelerated semi-automated references.
Neuroimage Clin. 2021; 30:102659
Doi: 10.1016/j.nicl.2021.102659
[OPEN ACCESS]
Web of Science
PubMed
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- Co-Autor*innen der Med Uni Graz
- Enzinger Christian
- Ropele Stefan
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- Abstract:
- 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.
- Find related publications in this database (using NLM MeSH Indexing)
- Gray Matter - diagnostic imaging
- Humans - administration & dosage
- Magnetic Resonance Imaging - administration & dosage
- Multiple Sclerosis - diagnostic imaging
- Reproducibility of Results - administration & dosage
- Thalamus - diagnostic imaging
- Find related publications in this database (Keywords)
- Multiple Sclerosis
- MRI
- Deep grey matter
- Atrophy
- Segmentation
- Reference set