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Accuracy of artificial intelligence-assisted landmark identification in serial lateral cephalograms of Class III patients who underwent orthodontic treatment and two-jaw orthognathic surgery
- Title
- Accuracy of artificial intelligence-assisted landmark identification in serial lateral cephalograms of Class III patients who underwent orthodontic treatment and two-jaw orthognathic surgery
- Authors
- Hong, Mihee; Kim, Inhwan; Cho, Jin-Hyoung; Kang, Kyung-Hwa; Kim, Minji; Kim, Su-Jung; Kim, Yoon-Ji; Sung, Sang-Jin; Kim, Young Ho; Lim, Sung-Hoon; Kim, Namkug; Baek, Seung-Hak
- Ewha Authors
- 김민지
- SCOPUS Author ID
- 김민지
- Issue Date
- 2022
- Journal Title
- KOREAN JOURNAL OF ORTHODONTICS
- ISSN
- 2234-7518
2005-372X
- Citation
- KOREAN JOURNAL OF ORTHODONTICS vol. 52, no. 4, pp. 287 - 297
- Keywords
- Convolutional neural network; Landmark identification; Two-jaw orthognathic surgery; Serial lateral encephalogram
- Publisher
- KOREAN ASSOC ORTHODONTISTS
- Indexed
- SCIE; SCOPUS; KCI
- Document Type
- Article
- Abstract
- Objective: To investigate the pattern of accuracy change in artificial intelligence-assisted landmark identification (LI) using a convolutional neural network (CNN) algorithm in serial lateral cephalograms (Lat-cephs) of Class III (C-III) patients who underwent two -jaw orthognathic surgery. Methods: A total of 3,188 Lat-cephs of C-III patients were allocated into the training and validation sets (3,004 Lat-cephs of 751 patients) and test set (184 Lat-cephs of 46 patients; subdivided into the genioplasty and non-genioplasty groups, n = 23 per group) for LI. Each C-III patient in the test set had four Lat-cephs: initial (T0), pre-surgery (T1, presence of orthodontic brackets [OBs]), post-surgery (T2, presence of OBs and surgical plates and screws [S-PS]), and debonding (T3, presence of S-PS and fixed retainers [FR]). After mean errors of 20 landmarks between human gold standard and the CNN model were calculated, statistical analysis was performed. Results: The total mean error was 1.17 mm without significant difference among the four time -points (T0, 1.20 mm; T1, 1.14 mm; T2, 1.18 mm; T3, 1.15 mm). In comparison of two time-points ([T0, T1] vs. [T2, T3]), ANS, A point, and B point showed an increase in error (p < 0.01, 0.05, 0.01, respectively), while Mx6D and Md6D showeda decrease in error (all p < 0.01). No difference in errors existed at B point, Pogonion, Menton, Md1C, and Md1R between the genioplasty and non-genioplasty groups. Conclusions: The CNN model can be used for LI in serial Lat-cephs despite the presence of OB, S-PS, FR, genioplasty, and bone remodeling.
- DOI
- 10.4041/kjod21.248
- Appears in Collections:
- 의과대학 > 의학과 > Journal papers
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