ArticleBMC oral health2021
A logistic analysis prediction model of TMJ condylar erosion in patients with TMJ arthralgia.
Article in BMC oral health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 17 citations in OpenAlex.
- A machine learning AI model for predicting condylar erosion in patients with temporomandibular joint disorders and analyzing factors contributing to prediction.Oral radiology · 2026Article
- CBCT-MRI-based prediction models for stratifying anterior disc displacement in orthodontic patients: development and independent internal validation of a retrospective diagnostic study.Oral radiology · 2026Article
- TMJ MRI structural features and horizontal condylar angle across a seven-type disc-condyle classification.BMC oral health · 2026Article
- Bidirectional analysis of clinical and MRI correlations in temporomandibular disorders using regression models.Oral radiology · 2026Article
- The relationship between disc morphology and condylar bone marrow edema in adolescent patients with anterior disc displacement with reduction: a retrospective cross-sectional study.BMC oral health · 2026Article
- Relationship between severe tooth wear and temporomandibular disorders: a cross-sectional study using propensity score matching analysis.BMC oral health · 2026Article
- Association of single nucleotide polymorphisms in FILIP1-SENP6 and FTO with temporomandibular joint osteoarthritis: clinical and in silico study.Scientific reports · 2026Article
- Clinical factors associated with radiographic severity of progressive temporomandibular joint osteoarthritis: a retrospective CBCT study.BMC musculoskeletal disorders · 2025Article
- Unveiling degenerative bone changes in the condyle: a texture analysis approach using cone-beam computed tomography.Acta cirurgica brasileira · 2025Article
- The degeneration-pain relationship in the temporomandibular joint: Current understandings and rodent models.Frontiers in pain research (Lausanne, Switzerland) · 2023Review
- Petrotympanic Fissure Architecture and Malleus Location in Temporomandibular Joint Disorders.Tomography (Ann Arbor, Mich.) · 2022Article
- Effect of the posterior stop on temporomandibular disorders: A systematic review.Journal of dental research, dental clinics, dental prospects · 2022Review
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Authors and funding
4 authors at 2 institutions in 2 countries.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundIn terms of diagnostic and therapeutic management, clinicians should adequately address the frequent aspects of temporomandibular joint (TMJ) osteoarthritis (OA) associated with disk displacement. Condylar erosion (CE) is considered an inflammatory subset of OA and is regarded as a sign of progressive OA changes potentially contributing to changes in dentofacial morphology or limited mandibular growth. The purpose of this study was to establish a risk prediction model of CE by a multivariate logistic regression analysis to predict the individual risk of CE in TMJ arthralgia. It was hypothesized that there was a closer association between CE and magnetic resonance imaging (MRI) indicators.
methodsThis retrospective paired-design study enrolled 124 consecutive TMJ pain patients and analyzed the clinical and TMJ-related MRI data in predicting CE. TMJ pain patients were categorized according to the research diagnostic criteria for temporomandibular disorders (RDC/TMD) Axis I protocol. Each patient underwent MRI examination of both TMJs, 1-7 days following clinical examination.
resultsIn the univariate analysis analyses, 9 influencing factors were related to CE, of which the following 4 as predictors determined the binary multivariate logistic regression model: missing posterior teeth (odds ratio [OR] = 1.42; P = 0.018), RDC/TMD of arthralgia coexistant with disk displacement without reduction with limited opening (DDwoR/wLO) (OR = 3.30, P = 0.007), MRI finding of disk displacement without reduction (OR = 10.96, P < 0.001), and MRI finding of bone marrow edema (OR = 11.97, P < 0.001). The model had statistical significance (chi-square = 148.239, Nagelkerke R square = 0.612, P < 0.001). Out of the TMJs, 83.9% were correctly predicted to be CE cases or Non-CE cases with a sensitivity of 81.4% and a specificity of 85.2%. The area under the receiver operating characteristic curve was 0.916.
conclusionThe established prediction model using the risk factors of TMJ arthralgia may be useful for predicting the risk of CE. The data suggest MRI indicators as dominant factors in the definition of CE. Further research is needed to improve the model, and confirm the validity and reliability of the model.
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