Hong Yoo-Ree, Hwangbo Na-Kyung, Kim Alec-Hyung, Kim Seong-Taek
Department of Orofacial Pain and Oral Medicine, Yonsei University College of Dentistry, Yonsei-ro 50-1, Seodaemun-gu, Seoul 03722, Republic of Korea.
TMJ & Orofacial Pain Clinic, Los Angeles, CA 90006, USA.
J Clin Med. 2023 Nov 20;12(22):7193. doi: 10.3390/jcm12227193.
This study aimed to assess the diagnostic accuracy of a mobile application by comparing its diagnoses to those of Orofacial Pain and Oral Medicine specialists and further imaging results (CBCT and MRI) in 500 patients with temporomandibular disorder (TMD). The research focused on three diagnostic categories: the initial specialist diagnoses, the final diagnoses after imaging, and the mobile app's diagnoses. The concordance rates, sensitivities, specificities, and positive predictive values of the diagnoses were examined, with further imaging serving as the gold standard. The mobile app demonstrated a high concordance rate compared to both the final (0.93) and the initial specialists' diagnoses (0.86). The sensitivities, specificities, and positive predictive values also indicated strong reliability, affirming the app's diagnostic validity. Although the concordance rate was slightly lower when comparing the app's diagnoses to the imaging results (CBCT and MRI), the specialists' diagnoses yielded similar results. The study suggests that user-friendly diagnostic mobile applications, based on the diagnostic criteria for TMD, could enhance the clinical management of TMD. Given the reliability of mobile applications for diagnostic purposes, their wider implementation could facilitate the provision of appropriate and timely treatments for patients with TMD.
本研究旨在通过将一款移动应用程序的诊断结果与500例颞下颌关节紊乱症(TMD)患者的口腔颌面疼痛与口腔医学专家的诊断结果以及进一步的影像学检查结果(CBCT和MRI)进行比较,来评估该移动应用程序的诊断准确性。该研究聚焦于三个诊断类别:专家的初始诊断、影像学检查后的最终诊断以及移动应用程序的诊断。以进一步的影像学检查结果作为金标准,对诊断的一致性率、敏感性、特异性和阳性预测值进行了检查。与最终诊断(0.93)和专家的初始诊断(0.86)相比,该移动应用程序显示出较高的一致性率。敏感性、特异性和阳性预测值也表明其具有较强的可靠性,证实了该应用程序的诊断有效性。尽管将该应用程序的诊断结果与影像学检查结果(CBCT和MRI)进行比较时,一致性率略低,但专家的诊断结果也得出了类似的结果。该研究表明,基于TMD诊断标准的用户友好型诊断移动应用程序可以加强TMD的临床管理。鉴于移动应用程序用于诊断目的的可靠性,其更广泛的应用可以为TMD患者提供适当和及时的治疗。