Jaremko, JL, Felfeliyan, B, Hareendranathan, A et al. (7 more authors) (2021) Volumetric quantitative measurement of hip effusions by manual versus automated artificial intelligence techniques: An OMERACT preliminary validation study. Seminars in Arthritis and Rheumatism, 51 (3). pp. 623-626. ISSN 0049-0172
Abstract
Objective
Preliminary assessment, via OMERACT filter, of manual and automated MRI hip effusion Volumetric Quantitative Measurement (VQM).
Methods
For 358 hips (93 osteoarthritis subjects, bilateral, 2 time points), 2 radiologists performed manual VQM using custom Matlab software. A Mask R-CNN artificial-intelligence (AI) tool was trained to automatically compute joint fluid volumes.
Results
Manual VQM had excellent inter-observer reliability (ICC 0.96). AI predicted hip fluid volumes with ICC 0.86 (status), 0.58 (change) vs. 2 human readers.
Conclusion
Hip joint fluid volumes are reliably assessed by VQM. It is feasible to automate this approach using AI, with promising initial reliability.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Keywords: | Hip joint; Osteoarthritis; MRI; Effusion; OMERACT; Artificial intelligence |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Institute of Rheumatology & Musculoskeletal Medicine (LIRMM) (Leeds) > Musculoskeletal Medicine & Imaging (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 22 Apr 2021 09:09 |
Last Modified: | 24 Feb 2025 13:48 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.semarthrit.2021.03.009 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:173027 |