The Accuracy of High Resolution Ultrasound in the Diagnosis of TMJ Disc Displacement in Comparison With MRI

Youssef, Hassan Mohamed Mohamed; Elia, Remon Zaher; Ali, Khaled Ahmed Mohamed

doi:10.1093/qjmed/hcab106.026

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous research showed that both methods present low ICC values and a high number of false-positive results regarding crepitus [ 7 ]. The above-mentioned premise has led to searching for alternative and more objective examination methods regarding joint sounds in the TMJ [ 25 , 26 , 27 ]. VAG became one of the potential solutions.…”

Section: Introductionmentioning

confidence: 99%

Repeatability of the Vibroarthrogram in the Temporomandibular Joints

Łysiak

Marciniak

Bączkowicz

2022

Sensors

View full text Add to dashboard Cite

Current research concerning the repeatability of the joint’s sounds examination in the temporomandibular joints (TMJ) is inconclusive; thus, the aim of this study was to investigate the repeatability of the specific features of the vibroarthrogram (VAG) in the TMJ using accelerometers. The joint sounds of both TMJs were measured with VAG accelerometers in two groups, study and control, each consisting of 47 participants (n = 94). Two VAG recording sessions consisted of 10 jaw open/close cycles guided by a metronome. The intraclass correlation coefficient (ICC) was calculated for seven VAG signal features. Additionally, a k-nearest-neighbors (KNN) classifier was defined and compared with a state-of-the-art method (joint vibration analysis (JVA) decision tree). ICC indicated excellent (for the integral below 300 Hz feature), good (total integral, integral above 300 Hz, and median frequency features), moderate (integral below to integral above 300 Hz ratio feature) and poor (peak amplitude feature) reliability. The accuracy scores for the KNN classifier (up to 0.81) were higher than those for the JVA decision tree (up to 0.60). The results of this study could open up a new field of research focused on the features of the vibroarthrogram in the context of the TMJ, further improving the diagnosing process.

show abstract

Section: Introductionmentioning

confidence: 99%

Repeatability of the Vibroarthrogram in the Temporomandibular Joints

Łysiak

Marciniak

Bączkowicz

2022

Sensors

View full text Add to dashboard Cite

show abstract

“…These limitations hinder TMD diagnosis and treatment. To address this challenge, new diagnostic tools for TMJ diseases have been developed, including surface electromyography (sEMG) 12 , vibroarthrography (VAG) 13,14 , and many others (Table 1). However, these new tools often struggle to meet clinical requirements due to poor validity 15 , complex operating procedures 16 , and stringent testing environments 14 .…”

mentioning

confidence: 99%

Instantaneous self-healing and ultra-low detection limit hydrogel electronic sensor for temporomandibular disorders intelligent diagnosis

Zhao,

Yan,

et al. 2024

Preprint

View full text Add to dashboard Cite

Temporomandibular disorders (TMD) intelligent diagnosis promises to elevate clinical efficiency, facilitating timely TMD management for patients and staving off the emergence of severe TMJ disability and pain. However, development of TMD intelligent diagnostic tools with high accuracy and sensitivity faces challenges, particularly in sensing minute deformations and ensuring rapid self-healing. Here, inspired by clinical joint palpation, based on the minute facial deformations (0.31-1.62 mm) caused by subtle TMJ movements, we report a biocompatible hydrogel electronic sensor that is capable of instantaneous self-healing (within 2.1 s) and ultra-low detection limit (0.005% strain). The clinical trials involving 120 cases demonstrated that it can efficiently identify the typical clinical manifestations of TMD, such as joint clicking, the adjunctive diagnosis of TMD with repeatability (Kappa=0.86) and a satisfactory accuracy of 90.00%, and it also had a clear indication of other uncoordinated TMJ activity and the timing of TMJ clicking, with a sensitivity of up to 100% for the diagnosis of TMD. Furthermore, to mitigate the reliance on physicians for the diagnostic tool, a predictive model based on sensing waveform features was constructed, achieving high accuracy of 84.4% and sensitivity of 0.86. In summary, the hydrogel sensor, to the best of our knowledge, is the first hydrogel-based strain sensor used for TMD monitoring and is expected to become a radiation-free, non-invasive, convenient and efficient examination tool for clinical TMD diagnosis in the future.

show abstract

The Accuracy of High Resolution Ultrasound in the Diagnosis of TMJ Disc Displacement in Comparison With MRI

Cited by 2 publications

References 0 publications

Repeatability of the Vibroarthrogram in the Temporomandibular Joints

Repeatability of the Vibroarthrogram in the Temporomandibular Joints

Instantaneous self-healing and ultra-low detection limit hydrogel electronic sensor for temporomandibular disorders intelligent diagnosis

Contact Info

Product

Resources

About