Utilizing a Novel AI Tool to Detect the Posterior Superior Alveolar Artery’s Location’s Impact on Maxillary Sinus Mucosal Thickening in the Presence of Periapical Lesions

Abstract

Periapical lesions have been implicated in sinus-related complications, but the precise influence of anatomical variations in the posterior superior alveolar artery (PSAA) on mucosal thickening remains an uncharted aspect. The new AI tool employed in this research utilizes advanced image processing algorithms to enhance image visualization. Background and Objectives: This study examines the accuracy of a new cone beam computed tomography (CBCT) software (eVol DXS, version 1.0.1.0) employing AI to detect the PSAA’s location and the effect of that on maxillary sinus thickening in the presence of periapical lesions. Materials and Methods: This retrospective study included 120 CBCT cases with posterior maxillary periapical lesions and 120 without odontogenic infections. Teeth with proximity (Results: The mucosal thickening differs significantly (p p Conclusions: AI algorithms for PSAA localization, which affects mucosal thickness in response to periapical lesions, yield excellent results.

Keywords

• PSAA location
• mucosal thickening
• AI tool
• eVol DXS