Clinical and MRI Markers for Acute vs Chronic TMD Using a Machine Learning and Deep Learning Approach DOI Creative Commons
Yeon‐Hee Lee,

Seonggwang Jeon,

Q‐Schick Auh

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 18, 2024

Abstract This study aimed to identify factors that significantly contribute the chronicity of symptoms in patients with temporomandibular disorders (TMD). Statistical, machine learning, and deep learning models were used for analysis. The include 239 TMD (161 women 78 men; mean age 35.60 ± 17.93 years), diagnosed using Diagnostic Criteria (Axis I). Participants categorized into: acute (< 6 months) chronic (≥ (51.05%). Significance clinical findings revealed joint (TMJ) noise bruxism more frequently reported than those TMD. visual analog scale (VAS) score, reflecting subjective pain intensity, was higher Additionally, had shorter average sleep durations their counterparts. STOP-Bang total scores (3.02 2.09 vs. 2.39 1.73, p = 0.012) Magnetic resonance imaging structural abnormalities TMD, rates anterior disc displacement (ADD), TMJ osteoarthritis, space narrowing. Using logistic regression—a widely recognized model—the AUROC predicting 0.7550 (95% CI]: 0.6550–0.8550). Significant predictors included noise, bruxism, VAS disturbance, score ≥ 5 (high risk obstructive apnea), ADD, Deep (multilayered perceptron) improved prediction performance by 3.99% over regression (79.49% 75.50%, 0.3067). These may help clinicians prevent symptom mitigate progression ultimately improving patient care.

Language: Английский

FATORES AGRAVANTES DA APNEIA OBSTRUTIVA DO SONO ASSOCIADA À DISFUNÇÃO TEMPOROMANDIBULAR DOI

Renan Augusto Ribeiro,

Walter Paulesini

RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218, Journal Year: 2025, Volume and Issue: 6(5), P. e656382 - e656382

Published: May 6, 2025

A Apneia Obstrutiva do Sono (AOS) e a Disfunção Temporomandibular (DTM) são condições que frequentemente coexistem, impactando significativamente qualidade de vida dos pacientes. Este estudo investiga os fatores agravantes da AOS associados à DTM, analisando relação entre as alterações anatômicas, funcionais hábitos parafuncionais podem contribuir para exacerbação sintomas. revisão literatura sugere obstrução das vias aéreas, posição mandibular tensão muscular desempenham papéis fundamentais nessa interação. Além disso, discute-se importância diagnóstico interdisciplinar abordagens terapêuticas visam minimizar impactos dessas na saúde paciente. Conclui-se inter-relação DTM é multifatorial exige uma abordagem terapêutica integrada. O tratamento interdisciplinar, envolvendo odontologia, fonoaudiologia medicina sono, essencial melhorar pacientes afetados.

Citations

0
Clinical and MRI Markers for Acute vs Chronic TMD Using a Machine Learning and Deep Learning Approach DOI Creative Commons
Yeon‐Hee Lee,

Seonggwang Jeon,

Q‐Schick Auh

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 18, 2024

Abstract This study aimed to identify factors that significantly contribute the chronicity of symptoms in patients with temporomandibular disorders (TMD). Statistical, machine learning, and deep learning models were used for analysis. The include 239 TMD (161 women 78 men; mean age 35.60 ± 17.93 years), diagnosed using Diagnostic Criteria (Axis I). Participants categorized into: acute (< 6 months) chronic (≥ (51.05%). Significance clinical findings revealed joint (TMJ) noise bruxism more frequently reported than those TMD. visual analog scale (VAS) score, reflecting subjective pain intensity, was higher Additionally, had shorter average sleep durations their counterparts. STOP-Bang total scores (3.02 2.09 vs. 2.39 1.73, p = 0.012) Magnetic resonance imaging structural abnormalities TMD, rates anterior disc displacement (ADD), TMJ osteoarthritis, space narrowing. Using logistic regression—a widely recognized model—the AUROC predicting 0.7550 (95% CI]: 0.6550–0.8550). Significant predictors included noise, bruxism, VAS disturbance, score ≥ 5 (high risk obstructive apnea), ADD, Deep (multilayered perceptron) improved prediction performance by 3.99% over regression (79.49% 75.50%, 0.3067). These may help clinicians prevent symptom mitigate progression ultimately improving patient care.

Language: Английский

Citations

0