Answers are grounded in this paper and cite their sources.
Validation of an automated segmentation pipeline for knee MRI shows improved cartilage analysis, suggesting benefits for OA monitoring.
Motivation: Our motivation was to determine a way to decrease the time dedicated to tissue segmentation and data analysis. Goal(s): Our goal was to test the validity of the DOSMA automated segmentation pipeline for OA analysis. Approach: Building on previous DOSMA frameworks we compared the segmentation metrics and cartilage qualitative metrics associated with OA risk of two manual readers with the automatic reader. Results: The study demonstrated performance of the DOSMA automated pipeline for bone and cartilage segmentation and quantitative analysis of musculoskeletal tissues that was on par or better than inter-reader performance. Impact: Automated segmentation and analysis of bone and cartilage have the potential to greatly improve the translation potential of quantitative MSK MRI biomarkers.
No takes yet. Share an insight, caveat, or question.
Belibi et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: