Development and validation of a clinical automatic diagnosis system based on diag-nostic criteria for temporomandibular disorders
10.19723/j.issn.1671-167X.2025.01.029
- VernacularTitle:基于颞下颌关节紊乱病诊断标准的临床自动诊断系统的建立及验证
- Author:
Yuanyuan FANG
1
;
Fan XU
;
Jie LEI
;
Hao ZHANG
;
Wenyu ZHANG
;
Yu SUN
;
Hongxin WU
;
Kaiyuan FU
;
Weiyu MAO
Author Information
1. 北京大学口腔医学院·口腔医院医学影像科,颞下颌关节病口颌面疼痛诊治中心,国家口腔医学中心,国家口腔疾病临床医学研究中心,口腔生物材料和数字诊疗装备国家工程研究中心,口腔数字医学北京市重点实验室,北京 100081
- Publication Type:Journal Article
- Keywords:
Temporomandibular joint disorders;
Computer-assisted diagnosis;
Automation;
Sensitivity and specificity
- From:
Journal of Peking University(Health Sciences)
2025;57(1):192-201
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To develop a clinical automated diagnostic system for temporomandibular disor-ders(TMD)based on the diagnostic criteria for TMD(DC/TMD)to assist dentists in making rapid and accurate clinical diagnosis of TMD.Methods:Clinical 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 in-ternal 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 de-generative joint diseases,disc displacement with reduction,disc displacements without reduction with limited mouth opening and disc displacement without reduction without limited mouth opening was evalua-ted 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.Results:Diagnoses for various TMD subtypes,including pain-related TMD(arthralgia,myalgia,headache attribu-ted to TMD)and intra-articular TMD(disc displacement with reduction,disc displacement with reduc-tion with intermittent locking,disc displacement without reduction with limited opening,disc displace-ment 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 spe-cialist based on DC/TMD.Both the system and the expert showed low sensitivity for diagnosing degenera-tive 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,ex-cept the disc displacement without reduction without limited mouth opening,which had a Kappa value of 0.68.Conclusion:This 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 classi-fication of TMD,and is expected to be an important tool in clinical scenarios.
