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. 2024 Nov 1;409(1):332.
doi: 10.1007/s00423-024-03514-6.

Assessment of first-touch skills in robotic surgical training using hi-Sim and the hinotori surgical robot system among surgeons and novices

Affiliations

Assessment of first-touch skills in robotic surgical training using hi-Sim and the hinotori surgical robot system among surgeons and novices

Takeshi Urade et al. Langenbecks Arch Surg. .

Abstract

Purpose: Surgeons' adaptability to robotic manipulation remains underexplored. This study evaluated the participants' first-touch robotic training skills using the hinotori surgical robot system and its simulator (hi-Sim) to assess adaptability.

Methods: We enrolled 11 robotic surgeons (RS), 13 laparoscopic surgeons (LS), and 15 novices (N). After tutorial and training, participants performed pegboard tasks, camera and clutch operations, energizing operations, and suture sponge tasks on hi-Sim. They also completed a suture ligation task using the hinotori surgical robot system on a suture simulator. Median scores and task completion times were compared.

Results: Pegboard task scores were 95.0%, 92.0%, and 91.5% for the RS, LS, and N groups, respectively, with differences between the RS group and LS and N groups. Camera and clutch operation scores were 93.1%, 49.7%, and 89.1%, respectively, showing differences between the RS group and LS and N groups. Energizing operation scores were 90.9%, 85.2%, and 95.0%, respectively, with a significant difference between the LS and N groups. Suture sponge task scores were 90.6%, 43.1%, and 46.2%, respectively, with differences between the RS group and LS and N groups. For the suture ligation task, completion times were 368 s, 666 s, and 1095 s, respectively, indicating differences among groups. Suture scores were 12, 10, and 7 points, respectively, with differences between the RS and N groups.

Conclusion: First-touch simulator-based robotic skills were partially influenced by prior robotic surgical experience, while suturing skills were affected by overall surgical experience. Thus, robotic training programs should be tailored to individual adaptability.

Keywords: Robot-assisted surgery; Robotic training; da Vinci; hi-Sim; hinotori.

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Conflict of interest statement

Masato Fujisawa has received financial support from the Medicaroid Corporation, which has established an endowed chair. The authors declare that this financial support has not influenced the content or conclusions of this manuscript. Takeshi Urade, Nobuaki Yamasaki, Munenori Uemura, Junichiro Hirata, Yasuyoshi Okamura, Yuki Mitani, Tatsuya Hattori, Kaito Nanchi, Seiichi Ozawa, Yasuo Chihara, Kiyoyuki Chinzei, and Takumi Fukumoto have no conflicts of interest or financial ties to disclose.

Figures

Fig. 1
Fig. 1
Four simulator tasks on the hi-Sim
Fig. 2
Fig. 2
(A) Suture ligation task using the hinotori surgical robot system. (B) Scoring system on the A-LAP mini
Fig. 3
Fig. 3
Scores of the four tasks on the hi-Sim. *p < 0.05 between groups
Fig. 4
Fig. 4
Scores of each participant on the hi-Sim tasks
Fig. 5
Fig. 5
Time and scores of the suture ligation task using the hinotori surgical robot system. *p < 0.05 between groups

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