A call for screening MRI as a tool for osteoarthritis clinical trials

Guermazi, Ali; Roemer, Frank W.; Jarraya, Mohamed; Hayashi, Daichi

doi:10.1007/s00256-023-04354-z

Cited by 7 publications

(2 citation statements)

References 27 publications

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“…The identification of statistically important variables is obtained by creating multiple trees via cross-validation and observing which variable contributes the most to creating pure nodes (e.g., the sum of the goodness of splits for each split). 33 We recognize that CART, like any method, has limitations, such as a propensity for overfitting and sensitivity to data variations. However, we performed pruning and 10-fold crossvalidation to avoid overfitting and to identify the statistically most important variables.…”

Section: Discussionmentioning

confidence: 99%

Radiomic features of the medial meniscus predicts incident destabilizing meniscal tears: Data from the osteoarthritis initiative

Villagran,

Driban,

et al. 2024

Journal Orthopaedic Research

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The objective of this study was to determine the optimal meniscal radiomic features to classify people who will develop an incident destabilizing medial meniscal tear. We used magnetic resonance (MR) images from an existing case–control study that includes images from the first 4 years of the Osteoarthritis Initiative (OAI). For this exploratory analysis (n = 215), we limited our study sample to people with (1) intact menisci at the OAI baseline visit, (2) 4‐year meniscal status data, and (3) complete meniscal data from each region of interest. Incident destabilizing meniscal tear was defined as progressing from an intact meniscus to a destabilizing tear by the 48‐month visit using intermediate‐weighted fat‐suppressed MR images. One reader manually segmented each participant's anterior and posterior horn of the medial menisci at the OAI baseline visit. Next, 61 different radiomic features were extracted from each medial meniscus horn. We performed a classification and regression tree (CART) analysis to determine the classification rules and important variables that predict incident destabilizing meniscal tear. The CART correctly classified 24 of the 34 cases and 172 out of 181 controls with a sensitivity of 70.6% and a specificity of 95.0%. The CART identified large zone high gray level emphasis (i.e., more coarse texture) from the posterior horn as the most important variable to classify who would develop an incident destabilizing medial meniscal tear. The use of radiomic features provides sensitive and quantitative measures of meniscal alterations, allowing us to intervene and prevent destabilizing meniscal tears.

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Section: Discussionmentioning

confidence: 99%

Radiomic features of the medial meniscus predicts incident destabilizing meniscal tears: Data from the osteoarthritis initiative

Villagran,

Driban,

et al. 2024

Journal Orthopaedic Research

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“…66 By combining rapid MRI assessment with accelerated image acquisition techniques, it may become feasible to use MRI as a routine screening tool for stratifying patients based on their structural characteristics in OA clinical trials. 67…”

Section: Semiquantitative Magnetic Resonance Imagingmentioning

confidence: 99%

Imaging Biomarkers of Osteoarthritis

Roemer,

Wirth,

Demehri

et al. 2024

Semin Musculoskelet Radiol

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Currently no disease-modifying osteoarthritis drug has been approved for the treatment of osteoarthritis (OA) that can reverse, hold, or slow the progression of structural damage of OA-affected joints. The reasons for failure are manifold and include the heterogeneity of structural disease of the OA joint at trial inclusion, and the sensitivity of biomarkers used to measure a potential treatment effect.This article discusses the role and potential of different imaging biomarkers in OA research. We review the current role of radiography, as well as advances in quantitative three-dimensional morphological cartilage assessment and semiquantitative whole-organ assessment of OA. Although magnetic resonance imaging has evolved as the leading imaging method in OA research, recent developments in computed tomography are also discussed briefly. Finally, we address the experience from the Foundation for the National Institutes of Health Biomarker Consortium biomarker qualification study and the future role of artificial intelligence.

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Medial meniscus extrusion is associated with meniscus tears in US and MRI: A case control study

Uusimaa,

Kemppainen,

Nevalainen

2024

J of Clinical Ultrasound

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ObjectivesTo study the medial meniscus extrusion (MME) in subjects with and without medial meniscal tears on magnetic resonance imaging (MRI), supine ultrasound (US), and weight‐bearing US.MethodsForty‐seven cases (mean age 43.7 years) with medial meniscus tears and 53 healthy controls (mean age 36.6 years) were assessed. Two experienced sonographers performed the US evaluations, and a fellowship‐trained musculoskeletal radiologist assessed the menisci on MRI. Independent and paired T‐tests and ICC were used for statistical analyses.ResultsOn supine US, the mean MME was 3.9 mm for the cases and 2.3 mm for the controls (p < 0.001). On weight‐bearing US, the values were 4.2 and 2.8 mm (p < 0.001), and on MRI 3.0 and 2.0 mm (p < 0.001), respectively. The mean difference between supine and weight‐bearing US extrusion was 0.38 mm for the cases and 0.49 mm for the controls (p = 0.291). Correlation between supine US and MRI MME measurements was good (ICC = 0.660, CIs [0.533–0.758]).ConclusionsMME can be assessed using US with good correlation to MRI. US‐observed extrusion was significantly increased in supine and standing positions for medial meniscus tears. The mean difference between examination positions was reduced with medial meniscus tears although this result was statistically insignificant.

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A call for screening MRI as a tool for osteoarthritis clinical trials

Cited by 7 publications

References 27 publications

Radiomic features of the medial meniscus predicts incident destabilizing meniscal tears: Data from the osteoarthritis initiative

Radiomic features of the medial meniscus predicts incident destabilizing meniscal tears: Data from the osteoarthritis initiative

Imaging Biomarkers of Osteoarthritis

Medial meniscus extrusion is associated with meniscus tears in US and MRI: A case control study

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