Publication: Automated outcome scoring in a virtual reality simulator for endodontic surgery
Issued Date
2018-01-01
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ISSN
18727565
01692607
01692607
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2-s2.0-85042846347
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Mahidol University
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SCOPUS
Bibliographic Citation
Computer Methods and Programs in Biomedicine. Vol.153, (2018), 53-59
Suggested Citation
Myat Su Yin, Peter Haddawy, Siriwan Suebnukarn, Phattanapon Rhienmora Automated outcome scoring in a virtual reality simulator for endodontic surgery. Computer Methods and Programs in Biomedicine. Vol.153, (2018), 53-59. doi:10.1016/j.cmpb.2017.10.001 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/45684
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Title
Automated outcome scoring in a virtual reality simulator for endodontic surgery
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Abstract
© 2017 Elsevier B.V. Background and objective: We address the problem of automated outcome assessment in a virtual reality (VR) simulator for endodontic surgery. Outcome assessment is an essential component of any system that provides formative feedback, which requires assessing the outcome, relating it to the procedure, and communicating in a language natural to dental students. This study takes a first step toward automated generation of such comprehensive feedback. Methods: Virtual reference templates are computed based on tooth anatomy and the outcome is assessed with a 3D score cube volume which consists of voxel-level non-linear weighted scores based on the templates. The detailed scores are transformed into standard scoring language used by dental schools. The system was evaluated on fifteen outcome samples that contained optimal results and those with errors including perforation of the walls, floor, and both, as well as various combinations of major and minor over and under drilling errors. Five endodontists who had professional training and varying levels of experiences in root canal treatment participated as raters in the experiment. Results: Results from evaluation of our system with expert endodontists show a high degree of agreement with expert scores (information based measure of disagreement 0.04-0.21). At the same time they show some disagreement among human expert scores, reflecting the subjective nature of human outcome scoring. The discriminatory power of the AOS scores analyzed with three grade tiers (A, B, C) using the area under the receiver operating characteristic curve (AUC). The AUC values are generally highest for the {AB: C} cutoff which is cutoff at the boundary between clinically acceptable (B) and clinically unacceptable (C) grades. Conclusions: The objective consistency of computed scores and high degree of agreement with experts make the proposed system a promising addition to existing VR simulators. The translation of detailed level scores into terminology commonly used in dental surgery supports natural communication with students and instructors. With the reference virtual templates created automatically, the approach is robust and is applicable in scoring the outcome of any dental surgery procedure involving the act of drilling.