Obstructive sleep apnea (OSA) is closely associated with the development and chronicity of temporomandibular disorder (TMD). Given the intricate pathophysiology of both OSA and TMD, comprehensive diagnostic approaches are crucial. This study aimed to develop an automatic prediction model utilizing multimodal data to diagnose OSA among TMD patients. We collected a range of multimodal data, including clinical characteristics, portable polysomnography, X-ray, and MRI data, from 55 TMD patients who reported sleep problems. This data was then analyzed using advanced machine learning techniques. Three-dimensional VGG16 and logistic regression models were used to identify significant predictors. Approximately 53% (29 out of 55) of TMD patients had OSA. Performance accuracy was evaluated using logistic regression, multilayer perceptron, and area under the curve (AUC) scores. OSA prediction accuracy in TMD patients was 80.00-91.43%. When MRI data were added to the algorithm, the AUC score increased to 1.00, indicating excellent capability. Only the obstructive apnea index was statistically significant in predicting OSA in TMD patients, with a threshold of 4.25 events/h. The learned features of the convolutional neural network were visualized as a heatmap using a gradient-weighted class activation mapping algorithm, revealing that it focuses on differential anatomical parameters depending on the absence or presence of OSA. In OSA-positive cases, the nasopharynx, oropharynx, uvula, larynx, epiglottis, and brain region were recognized, whereas in OSA-negative cases, the tongue, nose, nasal turbinate, and hyoid bone were recognized. Prediction accuracy and heat map analyses support the plausibility and usefulness of this artificial intelligence-based OSA diagnosis and prediction model in TMD patients, providing a deeper understanding of regions distinguishing between OSA and non-OSA.
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http://dx.doi.org/10.1038/s41598-024-70432-4 | DOI Listing |
Oral Surg Oral Med Oral Pathol Oral Radiol
September 2024
Department of Stomatology, School of Dentistry, Federal University of Paraná, Curitiba, Paraná, Brazil.
Unlabelled: The prevalence of temporomandibular disorder (TMD) in patients with (dentofacial deformities) DFD is high, indicating a multifaceted relationship between physical and psychosocial factors.
Objective: To identify clusters of patients with DFD based on variables related to TMD, psychological aspects, somatization, oral habits, and sleep.
Method: Ninety-two patients with DFD were evaluated before orthognathic surgery according to demographic data, facial profile, presence of painful TMD (DC/TMD), psychological aspects, oral habits, comorbidities, substance use, and sleep quality.
Oral Surg Oral Med Oral Pathol Oral Radiol
October 2024
Department of Oral and Maxillofacial Surgery, Harvard School of Dental Medicine, Boston, MA, USA.
Objective: Limited research exists regarding malpractice in dentistry. Temporomandibular joint disorders (TMDs) include intra- and extra-articular conditions that are managed by general dentists, orofacial pain specialists, and oral and maxillofacial surgeons. In this study, we investigate the rate of malpractice court trials involving treatment of TMD by these specialists.
View Article and Find Full Text PDFIndian J Radiol Imaging
January 2025
Department of Radiology in Saravana Imaging and Research Centre, Nandanam, Chennai, Tamil Nadu, India.
The study is aimed to perform magnetic resonance (MR) cartigram of the articular disc in patients with asymptomatic and symptomatic temporomandibular disorders (TMD). Thirty-nine volunteers were divided into three groups: 16 symptomatic TMD, 16 asymptomatic TMD, and 7 controls. The articular disc was divided into three segments (anterior, middle, and posterior) and analyzed using morphological magnetic resonance imaging (MRI) and T2 mapping sequences.
View Article and Find Full Text PDFJ Intensive Care
December 2024
Intensive Care Unit, Institute of Science Tokyo Hospital, 1-5-45 Yushima Bunkyo-Ku, Tokyo, 113-8510, Japan.
Background: Experiencing a loved one's stay in the intensive care unit (ICU) can profoundly affect families, often leading to post-intensive care syndrome-family (PICS-F), a condition particularly exacerbated during the COVID-19 pandemic. While PICS-F significantly impacts the mental health of families of ICU patients, especially in the context of COVID-19, the long-term effects beyond 12 months remain understudied. This study aims to explore the prevalence of PTSD-related symptoms and health-related quality of life (HRQOL) in family members up to 18 months after ICU discharge.
View Article and Find Full Text PDFClin Gastroenterol Hepatol
December 2024
TMDU Advanced Research Institute, Tokyo Medical and Dental University, Tokyo, Japan. Electronic address:
Background And Aims: While biologic therapy has revolutionized the treatment of Crohn's disease (CD), surgery remains unavoidable in cases involving ileal complications. We aimed to evaluate the efficacy of biologics on proximal ileal lesions using balloon-assisted enteroscopy (BAE).
Methods: This open-label multicenter prospective study was conducted at tertiary referral centers in Japan.
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