Are changes in meniscus volume and extrusion associated to knee osteoarthritis development? A structural equation model

Xu, D.; Voet, Joris van der; Waarsing, J.H.; Oei, E.H.; Klein, Stefan; Englund, Martin; Zhang, F.; Bierma-Zeinstra, Sita M A; Runhaar, Jos

doi:10.1016/j.joca.2021.07.007

Cited by 16 publications

(4 citation statements)

References 34 publications

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“…Three MRI-based predictors were associated with the meniscus in the predictive model of radiographic progression. Medial meniscus extrusion has been reported to be related to the incidence of radiographic knee OA (defined as KLG ≥ 2) in middle-aged overweight and obese women over 30 months follow-up [ 8 ]. An MRI study showed substantial medial meniscus extrusion (> 3 mm) correlated with severe meniscal degeneration, extensive tear, complex tear, large radial tear, and tear involving the meniscal root [ 9 ].…”

Section: Discussionmentioning

confidence: 99%

Predictive models of radiographic progression and pain progression in patients with knee osteoarthritis: data from the FNIH OA biomarkers consortium project

Li,

Zhang

2024

Arthritis Res Ther

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Objectives The progression of knee osteoarthritis (OA) can be defined as either radiographic progression or pain progression. This study aimed to construct models to predict radiographic progression and pain progression in patients with knee OA. Methods We retrieved data from the FNIH OA Biomarkers Consortium project, a nested case-control study. A total of 600 subjects with mild to moderate OA (Kellgren-Lawrence grade of 1, 2, or 3) in one target knee were enrolled. The patients were classified as radiographic progressors (n = 297), non-radiographic progressors (n = 303), pain progressors (n = 297), or non-pain progressors (n = 303) according to the change in the minimum joint space width of the medial compartment and the WOMAC pain score during the follow-up period of 24–48 months. Initially, 376 variables concerning demographics, clinical questionnaires, imaging measurements, and biochemical markers were included. We developed predictive models based on multivariate logistic regression analysis and visualized the models with nomograms. We also tested whether adding changes in predictors from baseline to 24 months would improve the predictive efficacy of the models. Results The predictive models of radiographic progression and pain progression consisted of 8 and 10 variables, respectively, with area under curve (AUC) values of 0.77 and 0.76, respectively. Incorporating the change in the WOMAC pain score from baseline to 24 months into the pain progression predictive model significantly improved the predictive effectiveness (AUC = 0.86). Conclusions We identified risk factors for imaging progression and pain progression in patients with knee OA over a 2- to 4-year period, and provided effective predictive models, which could help identify patients at high risk of progression.

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Section: Discussionmentioning

confidence: 99%

Predictive models of radiographic progression and pain progression in patients with knee osteoarthritis: data from the FNIH OA biomarkers consortium project

Li,

Zhang

2024

Arthritis Res Ther

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“…This is supported by data from a guineapig model, where meniscal hypertrophy was tied to cartilage damage after ACL injury ( 32 ). Although little to no data exist regarding meniscal size changes after ACL injury in humans, larger meniscus volume in middle-aged women was tied to later development of structural OA ( 33 ). While it is common to evaluate meniscal tears after ACL injury, meniscal size, independent of the presence of injury, is often overlooked.…”

Section: Discussionmentioning

confidence: 99%

Degenerative changes are associated with severity of anterior cruciate ligament injury within the skeletally immature joint

Howe

Thompson

Teeter

et al. 2022

Preprint

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Pediatric anterior cruciate ligament (ACL) injuries are a major problem in the pediatric and adolescent populations. Approximately one-quarter of these injuries only extend through only part of the tissue cross-section. Yet, there is very limited data to inform clinical treatments for pediatric partial ACL tears. In particular, understanding how injury severity impacts long-term degenerative changes in the joint is unknown. In this study, we leverage a skeletally immature preclinical porcine model to evaluate joint biomechanics, tissue remodeling, and degeneration after partial (isolated anteromedial (AM) or posterolateral (PL) bundle) or complete (full thickness) ACL injury. Six months after injury, joint laxity increases were minimal for PL bundle injury, minor for AM bundle injury, and major for ACL injury. In both partial injury cases, the remaining bundle remodeled through an increase in CSA to attempt to restore ACL function and stabilize the knee joint. Joint degeneration (evaluated by cartilage T1 relaxation, macroscopic cartilage degeneration, and meniscal hypertrophy) was minimal after PL bundle injury, moderate after AM bundle injury, and substantial after ACL injury. Further analysis with subjects grouped by Lachman grade (indicating the extent of joint destabilization) indicated that degeneration was associated with the extent of biomechanical destabilization, irrespective of the injury type. These findings point to the importance of considering the results of joint laxity exams when creating treatment plans for young patients with significant growth remaining, particularly those with partial ACL injuries.

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“…After segmentation of various joint structures, for example the articular cartilage, bones and menisci, their morphometric features (e.g., thickness, area, volume, or shape) can be determined. Change of these measures have been linked to OA onset and progression [ 39 – 42 ]. Here, the segmentation forms a challenge because it is laborious if performed manually, in particular for 3D datasets.…”

Section: Classification Of Early-stage Oa and The Role Of Imagingmentioning

confidence: 99%

Imaging of early-stage osteoarthritis: the needs and challenges for diagnosis and classification

Oei

Runhaar

2023

Skeletal Radiol

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In an effort to boost the development of new management strategies for OA, there is currently a shift in focus towards the diagnosis and treatment of early-stage OA. It is important to distinguish diagnosis from classification of early-stage OA. Diagnosis takes place in clinical practice, whereas classification is a process to stratify participants with OA in clinical research. For both purposes, there is an important opportunity for imaging, especially with MRI. The needs and challenges differ for early-stage OA diagnosis versus classification. Although it fulfils the need of high sensitivity and specificity for making a correct diagnosis, implementation of MRI in clinical practice is challenged by long acquisition times and high costs. For classification in clinical research, more advanced MRI protocols can be applied, such as quantitative, contrast-enhanced, or hybrid techniques, as well as advanced image analysis methods including 3D morphometric assessments of joint tissues and artificial intelligence approaches. It is necessary to follow a step-wise and structured approach that comprises, technical validation, biological validation, clinical validation, qualification, and cost-effectiveness, before new imaging biomarkers can be implemented in clinical practice or clinical research.

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Are changes in meniscus volume and extrusion associated to knee osteoarthritis development? A structural equation model

Cited by 16 publications

References 34 publications

Predictive models of radiographic progression and pain progression in patients with knee osteoarthritis: data from the FNIH OA biomarkers consortium project

Predictive models of radiographic progression and pain progression in patients with knee osteoarthritis: data from the FNIH OA biomarkers consortium project

Degenerative changes are associated with severity of anterior cruciate ligament injury within the skeletally immature joint

Imaging of early-stage osteoarthritis: the needs and challenges for diagnosis and classification

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