The aim of this work was to evaluate the predictive value of clinical symptoms for magnetic resonance imaging (MRI) findings of temporomandibular joint (TMJ) effusion. STUDY DESIGN: Sixty-one patients with TMJ pain were assessed by means of a standardized clinical examination and MRI. A calibrated investigator evaluated the presence of 8 clinical indicators (predictors) of TMJ effusion (outcome variable). A logistic regression analysis was performed to detect significant associations between clinical symptoms and MRI findings of TMJ effusion. The accuracy of the final logit to predict effusion was compared with that derived from univariate analysis. RESULTS: A clinical examination based upon the assessment of pain in the TMJ with lateral palpation, with posterior palpation, during motion, and during maximum assisted opening, and the presence of click and crepitus sounds has an accuracy of 78.7% to predict TMJ effusion. Among the single clinical symptoms, the most reliable predictor of TMJ effusion is the presence of pain with lateral palpation (accuracy 76.2%; K =.525). CONCLUSION: The use of a multiple regression approach demonstrated that an extensive clinical assessment which considers 6 main indicators consents to predict accurately the presence of MRI TMJ effusion. Based on these findings, MRI assessment should be reserved for patients in which the exact disc-condyle relationship needs to be evaluated.

Predictive value of clinical findings for temporomandibular joint effusion

BOSCO, MARIO
2003-01-01

Abstract

The aim of this work was to evaluate the predictive value of clinical symptoms for magnetic resonance imaging (MRI) findings of temporomandibular joint (TMJ) effusion. STUDY DESIGN: Sixty-one patients with TMJ pain were assessed by means of a standardized clinical examination and MRI. A calibrated investigator evaluated the presence of 8 clinical indicators (predictors) of TMJ effusion (outcome variable). A logistic regression analysis was performed to detect significant associations between clinical symptoms and MRI findings of TMJ effusion. The accuracy of the final logit to predict effusion was compared with that derived from univariate analysis. RESULTS: A clinical examination based upon the assessment of pain in the TMJ with lateral palpation, with posterior palpation, during motion, and during maximum assisted opening, and the presence of click and crepitus sounds has an accuracy of 78.7% to predict TMJ effusion. Among the single clinical symptoms, the most reliable predictor of TMJ effusion is the presence of pain with lateral palpation (accuracy 76.2%; K =.525). CONCLUSION: The use of a multiple regression approach demonstrated that an extensive clinical assessment which considers 6 main indicators consents to predict accurately the presence of MRI TMJ effusion. Based on these findings, MRI assessment should be reserved for patients in which the exact disc-condyle relationship needs to be evaluated.
2003
The Dentistry/Oral Surgery & Medicine category covers resources concerned with all aspects of dental science and practice including dental implants and dental materials. Specialties such as orthodontics, periodontology, endodontics, prosthodontics, and pediatric dentistry are also included. Oral Surgery & Medicine resources are concerned with basic, applied, and clinical aspects of oral infections and diseases, including their epidemiology, diagnosis, treatment, and rehabilitation. Specialties such as oral pathology/biology, oral epidemiology, oral rehabilitation, and oral implants are also included. Facial pain and craniomandibular resources are also covered in this category.
Sì, ma tipo non specificato
Inglese
Internazionale
STAMPA
96
5
521
526
LOGISTIC MODEL
TEMPOROMANDIBULAR JOINT; TMJ EFFUSION; MAGNETIC RESONANCE IMAGING; MRI; SYNOVIAL FLUID; PREDECTIVE VALUE OF TESTS; SOUND; RANGE OF MOTION
4
info:eu-repo/semantics/article
262
Manfredini, Daniele; Tognini, Francesco; Zampa, Virna; Bosco, Mario
1 Contributo su Rivista::1.1 Articolo in rivista
none
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/103697
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