COMPARING EFFECTIVENESS OF INTRAORAL SCANNER IN CARIES DETECTION

dc.contributor.advisorWeinstein, Geraldine
dc.contributor.authorAlruwaili, Mohand
dc.date.accessioned2025-07-09T08:52:01Z
dc.date.issued2025-05-20
dc.description.abstractThis study investigates the diagnostic performance of the TRIOS 5 intraoral scanner in detecting dental caries compared to traditional methods such as visual-tactile examination and radiographic imaging. With 21 adult participants, the study used a comparative diagnostic accuracy design to evaluate the scanner’s sensitivity, specificity, and agreement with the gold-standard radiographic findings. Results showed that while the TRIOS 5 demonstrated high sensitivity (89.4%) and a strong negative predictive value (87.0%), its specificity was low (26.4%), indicating a high rate of false positives. Cohen’s Kappa analysis revealed poor agreement between scanner and radiograph findings (κ = 0.100), and McNemar’s test confirmed statistically significant discrepancies (p = 4.648). These findings suggest that although the TRIOS 5 is effective in early caries detection, its diagnostic output should be interpreted alongside conventional methods to avoid overtreatment. The study highlights the scanner’s potential as an adjunct diagnostic tool and calls for further research on AI-driven enhancements and standardized calibration protocols to improve clinical accuracy and reliability.
dc.format.extent87
dc.identifier.citationAPA
dc.identifier.urihttps://hdl.handle.net/20.500.14154/75782
dc.language.isoen_US
dc.publisherSaudi Digital Library
dc.subjectCaries detection
dc.subjectintraoral scanner
dc.subjectTRIOS 5
dc.subjectdigital dentistry
dc.subjectdiagnostic accuracy
dc.subjectsensitivity
dc.subjectspecificity
dc.subjectvisual-tactile examination
dc.subjectradiographic evaluation
dc.subjectartificial intelligence in dentistry
dc.titleCOMPARING EFFECTIVENESS OF INTRAORAL SCANNER IN CARIES DETECTION
dc.typeThesis
sdl.degree.departmentOral Biology
sdl.degree.disciplineDentistry
sdl.degree.grantorTemple University
sdl.degree.nameMaster of sciences

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