Development of a Quantitative Evaluation System for Surgical Skill in Endoscopic Sinus Surgery

抄録

Endoscopic sinus surgery (ESS) is a procedure that requires a high level of skill from the surgeon. Therefore, quantitative feedback is required for efficient surgical training. This study was conducted by regression analysis using the scores evaluated according to the conventional evaluation index ESS-OSATS as supervised information. The surgery using the 3D sinus model was measured by a motion capture system, and the features calculated based on the motion were used for training. Five different regression methods were used to construct the models and Mean Absolute Error (MAE) was calculated to evaluate each model. Comparison results showed that Support Vector Regression (SVR) provided the highest prediction accuracy (MAE = 5.97).