Evidence map›Paper›PMID 38874610›Full record

ArticleSurgical endoscopy2024

Skill assessment based on clutch use in cross-platform robot-assisted surgery.

Lu Li, Ziyan Chen, Thant Htet Htet Zaw, Bin Luo, Kun Yang, Xinghuan Wang

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Article in Surgical endoscopy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Lu Li *Department of Urology, Zhongnan Hospital, Wuhan University, 169 Donghu Road, Wuhan, 430071, Hubei, China.
Ziyan Chen *Department of Urology, Zhongnan Hospital, Wuhan University, 169 Donghu Road, Wuhan, 430071, Hubei, China.
Thant Htet Htet ZawDepartment of Pediatric Surgery, Zhongnan Hospital, Wuhan University, Wuhan, Hubei, China.
Bin LuoThe State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Hubei, China.
Kun Yang *Department of Urology, Zhongnan Hospital, Wuhan University, 169 Donghu Road, Wuhan, 430071, Hubei, China. jesuisking198411@hotmail.com.ORCID 0000-0003-1987-8123
Xinghuan Wang *Department of Urology, Zhongnan Hospital, Wuhan University, 169 Donghu Road, Wuhan, 430071, Hubei, China. Wangxinghuan1966@hotmail.com.

Funding

Zhongshan Hospital ZLYNXM20200202
6 · The paper itself

Abstract

backgroundMany studies have investigated the transfer of skills between laparoscopic and robot-assisted surgery (RAS). These studies have considered time, error, and clinical outcomes in the assessment of skill transfer. However, little is known about the specific operations of the surgeon. Clutch control use is an important skill in RAS. Therefore, the present study aimed to propose a novel objective algorithm based on computer vision that can automatically evaluate a surgeon's clutch use. Additionally, the study aimed to evaluate the correlation between clutch metrics and surgical skill on different surgical robot platforms.

methodsThe robotic surgery training center of Wuhan University trained 30 laparoscopic surgeons as the study group between 2023 and 2024. Laparoscopic surgeons were trained by combining robotic simulator exercises and RAS animal experiments. During the training, video and hand movement data were collected. Hand movements identified by a skin-color model were combined with labeling information to classify clutch use. The metrics were validated on different robotic platforms (dv-Trainer, EDGE MP1000, Toumai™ MT1000, and DaVinci Xi system) and among surgeons with different surgical skill levels.

resultsOn the robotic simulator, clutch accuracy in the expert group was significantly higher than in the study group for all tasks. No significant differences were observed in the number of clutches between the expert and study groups. In the RAS experiment, the number of clutches decreased significantly for both study and expert groups. The accuracy was maintained at a high level in the expert group but decreased rapidly in the study group.

conclusionsWe proposed a new objective assessment of surgical skills, clutch use metrics, in cross-platform RAS. Additionally, we verified that the metrics significantly correlated with the surgical skill levels of the surgeons.

Indexed as

Clinical CompetenceLaparoscopyRobotic Surgical ProceduresAlgorithmsAnimalsHumansSimulation TrainingSurgeonsClutch useComputer visionObjective skill assessmentRobot-assisted surgeryRobotic surgery training

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.