OMERACT validation of a deep learning algorithm for automated absolute quantification of knee joint effusion versus manual semi-quantitative assessment
Authors' conclusion
The close correlation of automated DL knee joint effusion quantification to KIMRISS manual semi-quantitative scoring demonstrated its criterion validity.
Study context
- Population
- Osteoarthritis Initiative (OAI) subjects with knee MRI
- Participants
- 53 OAI subjects
- Comparison
- Deep learning (DL)-automated quantification of knee effusion volume vs manual semi-quantitative scoring (KIMRISS, MOAKS)
- Outcome
- Correlation of DL-measured knee effusion with experts' assessments
Methodological detailsOMERACT filter
- OMERACT filter
Performance
As reported in the abstract
Kendall's tau (significant correlation)
0.34-0.43
Parts of this Brief are withheld: the automatic checks could not confirm them against the abstract.
Original publication
OMERACT validation of a deep learning algorithm for automated absolute quantification of knee joint effusion versus manual semi-quantitative assessment. Semin Arthritis Rheum. Published 17 February 2024. doi:10.
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