Evidence map›Paper›PMID 39856527›Full record

ArticleBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2025

[Development and validation of a clinical automatic diagnosis system based on diagnostic criteria for temporomandibular disorders].

Yuanyuan Fang, Fan Xu, Jie Lei, Hao Zhang, Wenyu Zhang, Yu Sun, Hongxin Wu, Kaiyuan Fu, Weiyu Mao

Abstract readValidation StudyEnglish Abstract
PubMed Full text at PMC
In one paragraph

Article in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Yuanyuan FangDepartment of Oral and Maxillofacial Radiology, Center for TMD & Orofacial Pain, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomato-logy, Beijing 100081, China.
Fan XuLargeV Instrument Corp. Ltd., Beijing 100084, China.
Jie LeiDepartment of Oral and Maxillofacial Radiology, Center for TMD & Orofacial Pain, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomato-logy, Beijing 100081, China.
Hao ZhangLargeV Instrument Corp. Ltd., Beijing 100084, China.
Wenyu ZhangLargeV Instrument Corp. Ltd., Beijing 100084, China.
Yu SunLargeV Instrument Corp. Ltd., Beijing 100084, China.
Hongxin WuLargeV Instrument Corp. Ltd., Beijing 100084, China.
Kaiyuan FuDepartment of Oral and Maxillofacial Radiology, Center for TMD & Orofacial Pain, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomato-logy, Beijing 100081, China.
Weiyu MaoDepartment of Oral and Maxillofacial Radiology, Center for TMD & Orofacial Pain, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomato-logy, Beijing 100081, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a clinical automated diagnostic system for temporomandibular disorders (TMD) based on the diagnostic criteria for TMD (DC/TMD) to assist dentists in making rapid and accurate clinical diagnosis of TMD.

methodsClinical and imaging data of 354 patients, who visited the Center for TMD & Orofacial Pain at Peking University Hospital of Stomatology from September 2023 to January 2024, were retrospectively collected. The study developed a clinical automated diagnostic system for TMD using the DC/TMD, built on the. NET Framework platform with branching statements as its internal structure. Further validation of the system on consistency and diagnostic efficacy compared with DC/TMD were also explored. Diagnostic efficacy of the TMD clinical automated diagnostic system for degenerative joint diseases, disc displacement with reduction, disc displacements without reduction with limited mouth opening and disc displacement without reduction without limited mouth opening was evaluated and compared with a specialist in the field of TMD. Accuracy, precision, specificity and the Kappa value were assessed between the TMD clinical automated diagnostic system and the specialist.

resultsDiagnoses for various TMD subtypes, including pain-related TMD (arthralgia, myalgia, headache attributed to TMD) and intra-articular TMD (disc displacement with reduction, disc displacement with reduction with intermittent locking, disc displacement without reduction with limited opening, disc displacement without reduction without limited opening, degenerative joint disease and subluxation), using the TMD clinical automated diagnostic system were completely identical to those obtained by the TMD specialist based on DC/TMD. Both the system and the expert showed low sensitivity for diagnosing degenerative joint disease (0.24 and 0.37, respectively), but high specificity (0.96). Both methods achieved high accuracy (> 0.9) for diagnosing disc displacements with reduction and disc displacements without reduction with limited mouth opening. The sensitivity for diagnosing disc displacement without reduction without limited mouth opening was only 0.59 using the automated system, lower than the expert (0.87), while both had high specificity (0.92). The Kappa values for most TMD subtypes were close to 1, except the disc displacement without reduction without limited mouth opening, which had a Kappa value of 0.68.

conclusionThis study developed and validated a reliable clinical automated diagnostic system for TMD based on DC/TMD. The system is designed to facilitate the rapid and accurate diagnosis and classification of TMD, and is expected to be an important tool in clinical scenarios.

Indexed as

Diagnosis, Computer-AssistedTemporomandibular Joint DisordersAdultFacial PainFemaleHumansMaleMiddle AgedRetrospective StudiesSensitivity and SpecificityYoung AdultAutomationComputer-assisted diagnosisSensitivity and specificityTemporomandibular joint disorders

Identifiers

PMID39856527
PMCPMC11759806

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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.