Correlation of magnetic resonance imaging grades with cytokine levels of synovial fluid of patients with temporomandibular joint disorders: a cross-sectional study

Yang, Mu Chen; Wang, Ding Han; Wu, Hsiang Ling; Li, Wan Chun; Chang, Tsai Yu; Lo, Wen-Liang; Hsu, Ming Lun

doi:10.1007/s00784-019-02817-z

Cited by 6 publications

(6 citation statements)

References 36 publications

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“…Yang et al [43] assessed the correlations among different grading methods in MR images regarding the osseous change, joint effusion and the Wilkes classification. The authors found significant correlation between osseous change score and the Wilkes classification and at the same time no correlation between the Wilkes classification and joint effusion score.…”

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confidence: 99%

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Interdisciplinary Approach to the Temporomandibular Joint Osteoarthritis—Review of the Literature

2020

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Background and objectives: There is an increasing number of patients applying for dental treatment who suffer from temporomandibular joint osteoarthritis (TMJOA). Osteoarthritis may be the cause of the pain in the area of temporomandibular joints, but its course may also be absolutely asymptomatic. The aim of this study was to present an interdisciplinary approach to TMJOA, including current diagnostics and treatment modalities on the basis of the available literature. Materials and Methods: PubMed and Scopus databases were analyzed using the keywords: ((temporomandibular joint AND osteoarthritis) AND imaging) and ((temporomandibular joint AND osteoarthritis) AND treatment). The bibliography was supplemented with books related to the temporomandibular joint. After screening 2450 results, the work was based in total on 98 publications. Results and Conclusions: Osteoarthritis is an inflammatory, age-related, chronic and progressive degenerative joint disease. Magnetic resonance imaging (MRI) and cone-beam computed tomography (CBCT), together with clinical symptoms, play significant roles in TMJOA diagnosis. Current MRI techniques seem to be clinically useful for assessment of bony changes in temporomandibular joint (TMJ) disorders. Treatment of TMJOA requires a complex, interdisciplinary approach. TMJOA treatment includes the cooperation of physiotherapists, rheumatologists, gnathologists, orthodontists and quite often also maxillofacial surgeons and prosthodontists. Sometimes additional pharmacotherapy is indicated. Thorough examination of TMJ function and morphology is necessary at the beginning of any orthodontic or dental treatment. Undiagnosed TMJ dysfunction may cause further problems with the entire masticatory system, including joints, muscles and teeth.

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confidence: 99%

“…The authors found significant correlation between osseous change score and the Wilkes classification and at the same time no correlation between the Wilkes classification and joint effusion score. Yang et al [43] recommended combining different grading systems to thoroughly diagnose the severity of temporomandibular joint disorders.…”

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confidence: 99%

Interdisciplinary Approach to the Temporomandibular Joint Osteoarthritis—Review of the Literature

2020

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“…Moreover, several synovial, serum and urinary proteins were found to exhibit important diagnostic tool for TMDs (Table 1). [33] Wilkes classification Synovial fluid IL-8, sTNFR1, sTNFR2 and sIL-6R Ok et al, 2018 [34] RDC-TMD Urine PYD and DPD Watanabe et al, 2017 [35] Arthroscopy of the TMJ TMJ synovial fibroblasts IL-1β, IL-6, and IL-8…”

Section: Tmds Inflammatory Biomarkersmentioning

confidence: 99%

Biomarkers for Temporomandibular Disorders: Current Status and Future Directions

et al. 2020

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Numerous studies have been conducted in the previous years with an objective to determine the ideal biomarker or set of biomarkers in temporomandibular disorders (TMDs). It was recorded that tumour necrosis factor (TNF), interleukin 8 (IL-8), IL-6, and IL-1 were the most common biomarkers of TMDs. As of recently, although the research on TMDs biomarkers still aims to find more diagnostic agents, no recent study employs the biomarker as a targeting point of pharmacotherapy to suppress the inflammatory responses. This article represents an explicit review on the biomarkers of TMDs that have been discovered so far and provides possible future directions towards further research on these biomarkers. The potential implementation of the interactions of TNF with its receptor 2 (TNFR2) in the inflammatory process has been interpreted, and thus, this review presents a new hypothesis towards suppression of the inflammatory response using TNFR2-agonist. Subsequently, this hypothesis could be explored as a potential pain elimination approach in patients with TMDs.

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“…Degenerative diseases (DD) are common findings in patients with TMD, and their subsequent expression in articular cartilage is usually not detected by current imaging techniques in MRI [9][10][11]. The disease is characterized by cartilage loss, subchondral bone and synovial changes [12].…”

Section: Introductionmentioning

confidence: 99%

Detection of the Temporomandibular Joint Fibrocartilage by Magnetic Resonance Imaging

Moncada¹,

Sylvester²,

López³

et al. 2022

DOBCR

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Objective: The aims of this study were to detect the fibrocartilage layer (FC) of the porcine mandible condyle in ex vivo preparations using 3D SPGR (Spoiled GRASS sequence) (T1 WATS) sequences, and, to compare 3D SPGR image results with those of conventional magnetic resonance imaging (MRI) sequences for detecting the fibrocartilage layers of the temporomandibular joint (TMJ) in patients with temporomandibular disorders (TMD). Methods: Four porcine TMJ with and without FC were radiographically and histologically assessed. Additionally, fifty-nine patients were studied using T1 WATS MRI and T2 TSE and PD TSE sequences. Four trained and calibrated observers assessed the MRI images. Results: In porcine, the T1 WATS sequence was able to detect the presence or absence of FC in the mandibular condyle, histologically confirmed. In humans, 98% of fibrocartilages were detected with T1 WATS sequence in temporal fossa, and 91% in mandible condyles. Significantly poorer detection with the T2 TSE and PD TSE sequences was observed. Mean fibrocartilage ROI signal intensity was 74.07 IU (±14.7), without statistical differences between fossa and condyle. Conclusion: T1 WATS is the most reliable and efficient sequence for detecting the TMJ fibrocartilage layer (p <0.05).

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Correlation of magnetic resonance imaging grades with cytokine levels of synovial fluid of patients with temporomandibular joint disorders: a cross-sectional study

Cited by 6 publications

References 36 publications

Interdisciplinary Approach to the Temporomandibular Joint Osteoarthritis—Review of the Literature

Interdisciplinary Approach to the Temporomandibular Joint Osteoarthritis—Review of the Literature

Biomarkers for Temporomandibular Disorders: Current Status and Future Directions

Detection of the Temporomandibular Joint Fibrocartilage by Magnetic Resonance Imaging

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