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ORIGINAL ARTICLE
Year : 2022  |  Volume : 10  |  Issue : 3  |  Page : 76-79

Change in the mandibular cortical morphology at pre- and postdental implant operations using artificial intelligence-based computer-aided diagnosis for panoramic radiography


1 Quantitative Diagnostic Imaging, Field of Oral and Maxillofacial Imaging and Histopathological Diagnostics, Course of Applied Science, The Nippon Dental University Graduate School of Life Dentistry at Niigata, 1-8 Hamaura-cho, Chuo-ku, Niigata, Japan
2 Quantitative Diagnostic Imaging, Field of Oral and Maxillofacial Imaging and Histopathological Diagnostics, Course of Applied Science, The Nippon Dental University Graduate School of Life Dentistry at Niigata, 1-8 Hamaura-cho, Chuo-ku, Niigata; Department of Oral and Maxillofacial Radiology, The Nippon Dental University School of Life Dentistry at Niigata, Niigata, Japan, Japan

Correspondence Address:
Ruri Ogawa
The Nippon Dental University Graduate School of Life Dentistry at Niigata, 1-8 Hamaura-Cho, Chuo-Ku, Niigata 951-8580
Japan
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jomr.jomr_23_22

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Background: Recently, an automated diagnostic software called PanoSCOPE was developed. Aims: The aim of this study was to investigate whether there was any change in the mandibular cortical morphology at pre- and postdental implant operations using a computer aided diagnosis (CAD) system for panoramic radiography. Materials and Methods: Twenty patients were examined by panoramic radiography for pre- and postdental implant operations on the same date. The mandibular cortical index (MCI) and degree of deformation were analyzed using PanoSCOPE. The MCI classifications of all patients were evaluated with kappa coefficients between pre- and postdental implant operations. The degree of deformation of pre- and postdental implant operations was performed by the Pearson's rank correlation test. P value lower than 0.05 was considered statistically significant. Results: MCI of predental implant operation was Class 1: 10 cases, Class 2: nine cases, and Class 3: one case. MCI of postdental implant operation was Class 1: eight cases, Class 2: nine cases, and Class 3: three cases. The kappa coefficients between pre- and postdental implant operations were 0.746 (P < 0.001). We plotted degree of deformation of postdental implant operation (X) against degree of deformation of predental implant operation (Y) and observed a significant correlation (Y = 0.660 + 10.867 (n = 20, R2 = 0.650, P < 0.001). Conclusions: This study showed that there was no significant change in the mandibular cortical morphology at pre- and postdental implant operations using the CAD system and indicated that the CAD system can be useful for the quantitative evaluation of MCI of patients with dental implant operation.


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