AI Article Synopsis

  • Surgeons need effective diagnostic tools to plan treatments, and the study aimed to assess the effectiveness of the "air sign" (AS) as a radiological indicator for detecting mandibular fractures.
  • The research involved analyzing CT and CBCT scans of 43 patients with mandibular fractures, focusing on the sensitivity, specificity, and predictive values of the AS.
  • The results showed that while the AS has slightly lower sensitivity and specificity compared to other methods, it remains a valuable additional tool for reducing misdiagnosis in mandibular fractures, especially in open cases.

Article Abstract

To plan optimal treatment, obtain satisfactory outcomes, and avoid undesirable clinical errors, surgeons need to have efficient tools for providing a complete and prompt diagnosis. The aim of this study was to establish the sensitivity, specificity, positive and negative predictive values, false positive rate, and false negative rate of the "air sign" (AS) within soft tissues as an indirect radiological indicator of mandibular body and angle fractures. A retrospective analysis of preoperative computed tomography (CT) and cone beam computed tomography (CBCT) scans was performed on patients with mandibular fractures within a three-year period. Two fracture types were analyzed: open and closed fractures. Forty-three patients with a total of 71 mandibular fractures were included in the study. The mean age of the patients was 35 years, and the majority were male (83.7%). The sensitivity of the AS was 92.2%, specificity = 90.0%, positive predictive value = 95.9%, negative predictive value = 81.8%, false positive rate = 10.0%, and false negative rate = 7.8%. Higher values were observed for open fractures compared to closed fractures. The sensitivity and specificity of AS are lower than those of OPG, CT, and CBCT. However, AS offers an important additional radiological indicator that can effectively reduce the risk of misdiagnosing mandibular body and angle fractures.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11508310PMC
http://dx.doi.org/10.3390/jcm13206288DOI Listing

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