ArticleEuropean radiology2018
Association of subchondral bone texture on magnetic resonance imaging with radiographic knee osteoarthritis progression: data from the Osteoarthritis Initiative Bone Ancillary Study.
Article in European radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.
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Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The use of radiomic analysis of magnetic resonance imaging findings in predicting features of early osteoarthritis of the knee-a systematic review and meta-analysis.Irish journal of medical science · 2024Pooled it
- Defining and predicting radiographic knee osteoarthritis progression: a systematic review of findings from the osteoarthritis initiative.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2022Pooled it
- Osteoarthritis: Epidemiology, Diagnosis, and Treatment.MedComm · 2026Review
- MRI-Histopathology Correlation of Cartilage and Bone in Early Knee Osteoarthritis.Journal of orthopaedic case reports · 2025Article
- Interpretable machine learning integrates multi-source biomarkers for osteoarthritis diagnosis and mechanistic insights: A temporomandibular joint model.Osteoarthritis and cartilage · 2025Article
- Radiomics-based diagnosis of patellar chondromalacia using sagittal T2-weighted images.Radiologie (Heidelberg, Germany) · 2025Article
- Next-Level Prediction of Structural Progression in Knee Osteoarthritis: A Perspective.International journal of molecular sciences · 2025Review
- MRI-based radiomic analysis of soft tissue reactions near total hip arthroplasty.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2025Article
- Comprehensive evaluation of magnetic resonance imaging sequences for signal intensity based assessment of anterior cruciate ligament healing following surgical treatment.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2024Article
- Performance of Radiological and Biochemical Biomarkers in Predicting Radio-Symptomatic Knee Osteoarthritis Progression.Biomedicines · 2024Article
- A comprehensive patient-specific prediction model for temporomandibular joint osteoarthritis progression.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Short-term variations in trabecular bone texture parameters associated to radio-clinical biomarkers improve the prediction of radiographic knee osteoarthritis progression.Scientific reports · 2023Article
- Article
- Subchondral bone in knee osteoarthritis: bystander or treatment target?Skeletal radiology · 2023Review
- DeepKOA: a deep-learning model for predicting progression in knee osteoarthritis using multimodal magnetic resonance images from the osteoarthritis initiative.Quantitative imaging in medicine and surgery · 2023Article
- Opportunistic Evaluation of Trabecular Bone Texture by MRI Reflects Bone Mineral Density and Microarchitecture.The Journal of clinical endocrinology and metabolism · 2023Article
- Development of machine learning models aiming at knee osteoarthritis diagnosing: an MRI radiomics analysis.Journal of orthopaedic surgery and research · 2023Article
- Radiographic Biomarkers for Knee Osteoarthritis: A Narrative Review.Life (Basel, Switzerland) · 2023Review
- Conventional MRI-derived subchondral trabecular biomarkers and their association with knee cartilage volume loss as early as 1 year: a longitudinal analysis from Osteoarthritis Initiative.Skeletal radiology · 2022Article
- MRI-based Texture Analysis of Infrapatellar Fat Pad to Predict Knee Osteoarthritis Incidence.Radiology · 2022Observational
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Abstract
objectivesTo assess whether initial or 12-18-month change in magnetic resonance imaging (MRI) subchondral bone texture is predictive of radiographic knee osteoarthritis (OA) progression over 36 months.
methodsThis was a nested case-control study including 122 knees/122 participants in the Osteoarthritis Initiative (OAI) Bone Ancillary Study, who underwent MRI optimised for subchondral bone assessment at either the 30- or 36-month and 48-month OAI visits. Case knees (n = 61) had radiographic OA progression between the 36- and 72-month OAI visits, defined as ≥ 0.7 mm minimum medial tibiofemoral radiographic joint space (minJSW) loss. Control knees (n = 61) without radiographic OA progression were matched (1:1) to cases for age, sex, body mass index and initial medial minJSW. Texture analysis was performed on the medial femoral and tibial subchondral bone. We assessed the association of texture features with radiographic progression by creating a composite texture score using penalised logistic regression and calculating odds ratios. We evaluated the predictive performance of texture features for predicting radiographic progression using c-statistics.
resultsInitial (odds ratio [95% confidence interval] = 2.13 [1.41-3.40]) and 12- 18-month change (3.76 [2.04-7.82]) texture scores were significantly associated with radiographic OA progression. Combinations of texture features were significant predictors of radiographic progression using initial (c-statistic [95% confidence interval] = 0.65 [0.64-0.65], p = 0.003) and 12-18-month change (0.68 [0.68-0.68], p < 0.001) data.
conclusionsInitial and 12-18-month changes in MRI subchondral bone texture score were significantly associated with radiographic progression at 36 months, with better predictive performance for 12-18-month change in texture. These results suggest that texture analysis may be a useful biomarker of subchondral bone in OA. KEY POINTS: • Subchondral bone MRI texture analysis is a promising knee osteoarthritis imaging biomarker. • In this study, subchondral bone texture was associated with knee osteoarthritis progression. • This demonstrates predictive and concurrent validity of MRI subchondral bone texture analysis. • This method may be useful in clinical trials with interventions targeting bone.
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