ArticlePloS one2024
Evaluation of masticatory muscles in temporomandibular joint disorder patients using quantitative MRI fat fraction analysis-Could it be a biomarker?
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 8 citations in OpenAlex.
- Prediction of late-pregnancy pelvic floor dysfunction: a nomogram model based on proton density fat fraction and synthetic magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2026Article
- Augmented 3T imaging performance of the Temporomandibular joint using wireless resonators.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2026Article
- Ultrasonographic evaluation of masseter, trapezius, and sternocleidomastoid muscles in patients with internal derangement in the temporomandibular joint.Oral radiology · 2026Article
- MRI-based anatomical and biomechanical characterization of the human masticatory muscles.Frontiers in bioengineering and biotechnology · 2026Article
- Evaluation of deep learning MRI reconstruction for dental implant crowns in a phantom study.Scientific reports · 2025Article
- Global research trends in MRI of temporomandibular disorders: a bibliometric study and visualization analysis via CiteSpace.Journal of oral & facial pain and headache · 2025Article
- Quantitative MRI texture analysis of the lateral pterygoid muscle in unilateral temporomandibular joint disorders.Head & face medicine · 2025Article
- Relationship between temporomandibular joint space and articular disc displacement.BMC oral health · 2025Article
- The evolving role of MRI in dentomaxillofacial diagnostics: a comprehensive review.European oral research · 2025Review
- Quantitative assessment of rotator cuff injuries using synthetic MRI and IDEAL-IQ imaging techniques.Heliyon · 2024Article
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Authors and funding
5 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Temporomandibular joint disorders (TMDs) are closely related to the masticatory muscles, but objective and quantitative methods to evaluate muscle are lacking. IDEAL-IQ, a type of chemical shift-encoded magnetic resonance imaging (CSE-MRI), can quantify the fat fraction (FF). The purpose of this study was to develop an MR IDEAL-IQ-based method for quantitative muscle diagnosis in TMD patients. A total of 65 patients who underwent 3 T MRI scans, including CSE-MRI sequences, were retrospectively included. MRI diagnoses and clinical data were reviewed. There were 19 patients in the normal group and 46 patients in the TMD group with unilateral disc displacement. The TMD group was subdivided into those with and without clenching. The right and left FF values of the masseter, medial, and lateral pterygoid muscles were measured twice by two oral radiologists on CSE-MRI, and the average value was used. FF measurements using CSE-MRI showed excellent intra- and inter-observer agreement (ICC > 0.889 for both). There were no statistically significant differences between the right and left FF values in the masseter, medial pterygoid, and lateral pterygoid of the normal group (p > 0.05). A statistically significant difference was found in the TMD group without clenching, in which the masseter muscle had a statistically significantly lower FF value on the disc displacement side (3.94 ± 1.61) than on the normal side (4.52 ± 2.24) (p < 0.05). CSE-MRI, which can reproducibly quantify muscle FF values, is expected to be a biomarker for objective muscle evaluation in TMD patients. The masseter muscle is expected to be particularly useful compared to other masticatory muscles, but further research is needed.
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