Evidence map›Paper›PMID 40506640›Full record

ArticleEuropean radiology2025

Accelerated MRI in temporomandibular joints using AI-assisted compressed sensing technique: a feasibility study.

Zheng Ye, Xinyang Lyu, Ruopeng Zhao, Peidi Fan, Shimin Yang, Chunchao Xia, Zhenlin Li, Xin Xiong

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Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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8 authors.

Zheng Ye *Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Xinyang Lyu *Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Ruopeng ZhaoDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Peidi FanState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
Shimin YangShanghai United Imaging Healthcare Co., Ltd., Shanghai, China.
Chunchao XiaDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Zhenlin LiDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China. HX_lizhenlin@126.com.ORCID http://orcid.org/0000-0001-7525-330X
Xin XiongState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China. drxiongxin@scu.edu.cn.

Funding

Clinical Research Project of West China Hospital of Stomatology, Sichuan University LCYJ-2023-YY-2National Natural Science Foundation of China 82301129
6 · The paper itself

Abstract

objectiveTo investigate the feasibility of accelerated MRI with artificial intelligence-assisted compressed sensing (ACS) technique in the temporomandibular joint (TMJ) and compare its performance with parallel imaging (PI) protocol and standard (STD) protocol. MATERIALS AND

methodsParticipants with TMJ-related symptoms were prospectively enrolled from April 2023 to May 2024, and underwent bilateral TMJ imaging examinations using ACS protocol (6:08 min), PI protocol (10:57 min), and STD protocol (13:28 min). Overall image quality and visibility of TMJ relevant structures were qualitatively evaluated by a 4-point Likert scale. Quantitative analysis of signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of TMJ disc, condyle, and lateral pterygoid muscle (LPM) was performed. Diagnostic agreement of joint effusion and disc displacement among protocols and investigators was assessed by Fleiss' kappa analysis.

resultsA total of 51 participants (16 male and 35 female) with 102 TMJs were included. The overall image quality and most structures of the ACS protocol were significantly higher than the STD protocol (all p < 0.05), and similar to the PI protocol. For quantitative analysis, the ACS protocol demonstrated significantly higher SNR and CNR than the STD protocol in the TMJ disc, condyle, and LPM (all p < 0.05), and the ACS protocol showed comparable SNR to the PI protocol in most sequences. Good to excellent inter-protocol and inter-observer agreement was observed for diagnosing TMJ abnormalities (κ = 0.699-1.000).

conclusionAccelerated MRI with ACS technique can significantly reduce the acquisition time of TMJ, while providing superior or equivalent image quality and great diagnostic agreement with PI and STD protocols. KEY POINTS: Question Patients with TMJ disorders often cannot endure long MRI examinations due to orofacial pain, necessitating accelerated MRI to improve patient comfort. Findings ACS technique can significantly reduce acquisition time in TMJ imaging while providing superior or equivalent image quality. Clinical relevance The time-saving ACS technique improves image quality and achieves excellent diagnostic agreement in the evaluation of joint effusion and disc displacement. It helps optimize clinical MRI workflow in patients with TMJ disorders.

Indexed as

Artificial IntelligenceMagnetic Resonance ImagingTemporomandibular JointTemporomandibular Joint DisordersAdolescentAdultData CompressionFeasibility StudiesFemaleHumansImage Interpretation, Computer-AssistedMaleMiddle AgedProspective StudiesSignal-To-Noise RatioYoung AdultArtificial intelligenceImage enhancementMagnetic resonance imagingTemporomandibular joint

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.