A comparison between MRI Osteoarthritis Knee Score (MOAKS) and KL Grading on reflecting severity of clinical symptoms in osteoarthritic patients
Refereed conference paper presented and published in conference proceedings
CUHK Authors
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AbstractIntroduction: Osteoarthritis knee has a global prevalence of 86.7 million people as of 2020. The KL (Kellgren and Lawrence) Grading remains the gold standard for classifying its severity radiologically. However, recent studies have started to investigate the use of semi-quantitative magnetic resonance imaging (MRI) scoring (i.e. magnetic resonance imaging osteoarthritis knee score [MOAKS]) from 5-minute pulse sequences. In this study, we aimed to compare MOAKS against the reference standard KL grading on correlating clinical severity of OA knee.
Methods: A total of 40 patients with radiographic features of OA knee were recruited and grouped by KL grade. The MRI scans were taken for the same knees between 2020 to 2021, and two radiologists performed structural grading based on the Osteoarthritis Initiative (OAI) reference for each subject. Scores were generated for each feature as described in MOAKS and paired with the patients’ Knee Society Score (KSS) and Knee Function Score (KFS), with reference to phenotype definitions, and was analysed using Spearman’s correlation test.
Results: There was significant correlation between KSS with KL grading (-0.753, p<0.05), and KSS with each MOAKS feature: Cartilage, subchondral bone, osteophyte and meniscus (-0.705, -0.652, -0.758, -0.45, -0.703; p<0.05). The MOAKS cartilage and combined score outperforms the KL grade correlation (-0.645, -0.613 against -0.556; p<0.05) for patients with KL grade 2 and 3.
Discussion and Conclusion: MOAKS can effectively distinguish the features of early changes in pathological knees when compared to the gold standard, which supports the potential of this modality as the imaging tool of the future for OA knee
Methods: A total of 40 patients with radiographic features of OA knee were recruited and grouped by KL grade. The MRI scans were taken for the same knees between 2020 to 2021, and two radiologists performed structural grading based on the Osteoarthritis Initiative (OAI) reference for each subject. Scores were generated for each feature as described in MOAKS and paired with the patients’ Knee Society Score (KSS) and Knee Function Score (KFS), with reference to phenotype definitions, and was analysed using Spearman’s correlation test.
Results: There was significant correlation between KSS with KL grading (-0.753, p<0.05), and KSS with each MOAKS feature: Cartilage, subchondral bone, osteophyte and meniscus (-0.705, -0.652, -0.758, -0.45, -0.703; p<0.05). The MOAKS cartilage and combined score outperforms the KL grade correlation (-0.645, -0.613 against -0.556; p<0.05) for patients with KL grade 2 and 3.
Discussion and Conclusion: MOAKS can effectively distinguish the features of early changes in pathological knees when compared to the gold standard, which supports the potential of this modality as the imaging tool of the future for OA knee
All Author(s) ListStephanie Wing Sum Tso, Michael Tim-Yun Ong, Lawrence Chun-Man Lau, Gloria Yan-Ting Lam, Tsz-Lung Choi, Dennis King-Hang Yee, Jun-Ru Zhong, Wei-Tian Chen, Patrick Shu-Hang Yung
Name of ConferenceThe 42nd Annual Congress of The Hong Kong Orthopaedic Association
Start Date of Conference05/11/2022
End Date of Conference06/11/2022
Place of ConferenceHong Kong
Country/Region of ConferenceHong Kong
Year2022
Month11
PublisherHong Kong Academy of Medicine Press
Place of PublicationHong Kong
Pages117 - 117
LanguagesEnglish-United States
