Performance of artificial intelligence-based diagnosis and classification of peri-implantitis compared with periodontal surgeon assessment: a pilot study of panoramic radiograph analysis.
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引用次数: 0
Abstract
Purpose: The aim of this study was to evaluate the diagnostic and classification performance of a deep learning (DL) model for peri-implantitis-related bone defects using panoramic radiographs, focusing on defect morphology and severity.
Methods: A dataset comprising 1,075 panoramic radiographs from 426 patients with peri-implantitis was analyzed. A total of 2,250 implant sites were annotated and categorized based on defect morphology (intraosseous [class I], supracrestal/horizontal [class II], or combined [class III]) and severity (slight, moderate, or severe). The ensemble-based YOLOv8 DL model was trained on 80% of the dataset, with the remaining 20% reserved for testing. Performance was assessed using classification metrics, including accuracy, precision, recall, and F1 score. The diagnostic accuracy of the DL model was also compared with that of 2 board-certified periodontal surgeons.
Results: The DL model achieved an overall accuracy of 85.33%, significantly outperforming the periodontal surgeons, who exhibited a mean accuracy of 75.6%. The DL model performed especially well for slight class II defects, with precision and recall values of 100% and 98%, respectively. In contrast, the periodontal surgeons demonstrated higher accuracy in severe cases, particularly for class II defects.
Conclusions: DL enables reliable and accurate detection of peri-implantitis bone defects. It outperformed periodontal surgeons in overall accuracy, demonstrating its potential as a valuable second-opinion tool to support clinical decision-making. Future research should focus on expanding datasets and incorporating multimodal imaging.
期刊介绍:
Journal of Periodontal & Implant Science (JPIS) is a peer-reviewed and open-access journal providing up-to-date information relevant to professionalism of periodontology and dental implantology. JPIS is dedicated to global and extensive publication which includes evidence-based original articles, and fundamental reviews in order to cover a variety of interests in the field of periodontal as well as implant science.