Motion analysis of laparoscopic surgical skills in experts and its use for surgical education

2023 Fiscal Year Final Research Report

• Project/Area Number: 21H00893
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Review Section: Basic Section 09070:Educational technology-related
• Research Institution: Hokkaido University
• Principal Investigator: Abe Takashige 北海道大学, 医学研究院, 准教授 (10399842)
• Co-Investigator(Kenkyū-buntansha): 渡辺 雅彦 北海道大学, 医学研究院, 特任教授 (70210945) ; 七戸 俊明 北海道大学, 医学研究院, 准教授 (70374353) ; 篠原 信雄 北海道大学, 医学研究院, 教授 (90250422) ; 近野 敦 北海道大学, 情報科学研究院, 教授 (90250688)
• Project Period (FY): 2021-04-01 – 2024-03-31
• Keywords: 腹腔鏡手術 / シミュレーショントレーニング / 鉗子動態 / 機械学習 / カダバートレーニング

Outline of Final Research Achievements

We established a motion capture system (Mocap) of surgical forceps using an infrared camera. Using the measurement data of 70 participants in laparoscopic surgical training using porcine organs, we reported the favorable ability to discriminate surgical skills based on forceps dynamics and machine learning, according to the previous case-loads as an index of proficiency. In addition, using the recorded videos, technical evaluation was performed by two certified laparoscopic surgeons using the GOALS evaluation table (already validated assessment tool of laparoscopic surgery), and we developed GOALS score prediction model, using Mocap metrics and machine learning with the average score of the two doctors as the correct answer label, which showed an error of approximately 1-2 points for the total score. We also established a Mocap system for cadaveric training, and submitted the results. We are currently further analyzing the measurement data.

Free Research Field

泌尿器癌に対する手術治療・薬物療法、外科教育研究

Academic Significance and Societal Importance of the Research Achievements

鉗子動態に基づく客観的フィードバックを行うことで、指導者の負担軽減・学習者のラーニングカーブの加速に寄与できる可能性がある。鉗子動態の更なる解析により、手術熟練者の暗黙知を言語化できる可能性がある。