Article ; Online: Getting Cartilage Thickness Measurements Right: A Systematic Inter-Method Comparison Using MRI Data from the Osteoarthritis Initiative.
2023 Volume 14, Issue 1, Page(s) 26–38
Abstract: Objective: Magnetic resonance imaging is the standard imaging modality to assess articular cartilage. As the imaging surrogate of degenerative joint disease, cartilage thickness is commonly quantified after tissue segmentation. In lack of a standard ... ...
| Abstract | Objective: Magnetic resonance imaging is the standard imaging modality to assess articular cartilage. As the imaging surrogate of degenerative joint disease, cartilage thickness is commonly quantified after tissue segmentation. In lack of a standard method, this study systematically compared five methods for automatic cartilage thickness measurements across the knee joint and as a function of region and sub-region: 3D mesh normals (3D-MN), 3D nearest neighbors (3D-NN), 3D ray tracing (3D-RT), 2D centerline normals (2D-CN), and 2D surface normals (2D-SN). Design: Based on the manually segmented femoral and tibial cartilage of 507 human knee joints, mean cartilage thickness was computed for the entire femorotibial joint, 4 joint regions, and 20 subregions using these methods. Inter-method comparisons of mean cartilage thickness and computation times were performed by one-way analysis of variance (ANOVA), Bland-Altman analyses and Lin's concordance correlation coefficient (CCC). Results: Mean inter-method differences in cartilage thickness were significant in nearly all subregions ( Conclusions: In automatic cartilage thickness determination, quantification accuracy and computational burden are largely affected by the underlying method. Mesh and surface normals or nearest neighbor searches should be used because they accurately capture variable geometries while being time-efficient. |
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| MeSH term(s) | Humans ; Knee Joint/diagnostic imaging ; Knee Joint/pathology ; Cartilage, Articular/diagnostic imaging ; Cartilage, Articular/pathology ; Femur/diagnostic imaging ; Femur/pathology ; Magnetic Resonance Imaging/methods ; Osteoarthritis/pathology |
| Language | English |
| Publishing date | 2023-01-19 |
| Publishing country | United States |
| Document type | Journal Article ; Research Support, Non-U.S. Gov't |
| ZDB-ID | 2515870-3 |
| ISSN | 1947-6043 ; 1947-6035 |
| ISSN (online) | 1947-6043 |
| ISSN | 1947-6035 |
| DOI | 10.1177/19476035221144744 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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