Evidence map›Paper›PMID 38917181›Full record

ArticlePloS one2024

A surgical instrument motion measurement system for skill evaluation in practical laparoscopic surgery training.

Koki Ebina, Takashige Abe, Lingbo Yan, Kiyohiko Hotta, Toshiaki Shichinohe, Madoka Higuchi, Naoya Iwahara, Yukino Hosaka, Shigeru Harada, Hiroshi Kikuchi and 14 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Machine Learning-Based Automated Assessment of Intracorporeal Suturing in Laparoscopic Fundoplication.Global surgical education : journal of the Association for Surgical Education · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Koki EbinaGraduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan.ORCID 0000-0002-4452-4274
Takashige AbeDepartment of Renal and Genitourinary Surgery, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
Lingbo YanGraduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan.
Kiyohiko HottaDepartment of Renal and Genitourinary Surgery, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
Toshiaki ShichinoheDepartment of Gastroenterological Surgery II, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
Madoka HiguchiDepartment of Renal and Genitourinary Surgery, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
Naoya IwaharaDepartment of Renal and Genitourinary Surgery, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
Yukino HosakaDepartment of Renal and Genitourinary Surgery, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
Shigeru HaradaDepartment of Renal and Genitourinary Surgery, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
Hiroshi KikuchiDepartment of Renal and Genitourinary Surgery, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
Haruka MiyataDepartment of Renal and Genitourinary Surgery, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
Ryuji MatsumotoDepartment of Renal and Genitourinary Surgery, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
Takahiro OsawaDepartment of Renal and Genitourinary Surgery, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
Yo KurashimaClinical Simulation Center, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
Masahiko WatanabeDepartment of Anatomy, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
Masafumi KonDepartment of Renal and Genitourinary Surgery, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
Sachiyo MuraiDepartment of Renal and Genitourinary Surgery, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
Shunsuke KomizunaiFaculty of Engineering and Design, Kagawa University, Takamatsu, Japan.
Teppei TsujitaDepartment of Mechanical Engineering, National Defense Academy of Japan, Yokosuka, Japan.
Kazuya SaseDepartment of Mechanical Engineering and Intelligent Systems, Tohoku Gakuin University, Sendai, Japan.
Xiaoshuai ChenGraduate School of Science and Technology, Hirosaki University, Hirosaki, Japan.
Taku SenooGraduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan.ORCID 0000-0002-8531-1590
Nobuo ShinoharaDepartment of Renal and Genitourinary Surgery, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
Atsushi KonnoGraduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan.ORCID 0000-0003-3288-8844

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study developed and validated a surgical instrument motion measurement system for skill evaluation during practical laparoscopic surgery training. Owing to the various advantages of laparoscopic surgery including minimal invasiveness, this technique has been widely used. However, expert surgeons have insufficient time for providing training to beginners due to the shortage of surgeons and limited working hours. Skill transfer efficiency has to be improved for which there is an urgent need to develop objective surgical skill evaluation methods. Therefore, a simple motion capture-based surgical instrument motion measurement system that could be easily installed in an operating room for skill assessment during practical surgical training was developed. The tip positions and orientations of the instruments were calculated based on the marker positions attached to the root of the instrument. Because the patterns of these markers are individual, this system can track multiple instruments simultaneously and detect exchanges. However due to the many obstacles in the operating room, the measurement data included noise and outliers. In this study, the effect of this decrease in measurement accuracy on feature calculation was determined. Accuracy verification experiments were conducted during wet-lab training to demonstrate the capability of this system to measure the motion of surgical instruments with practical accuracy. A surgical training experiment on a cadaver was conducted, and the motions of six surgical instruments were measured in 36 cases of laparoscopic radical nephrectomy. Outlier removal and smoothing methods were also developed and applied to remove the noise and outliers in the obtained data. The questionnaire survey conducted during the experiment confirmed that the measurement system did not interfere with the surgical operation. Thus, the proposed system was capable of making reliable measurements with minimal impact on surgery. The system will facilitate surgical education by enabling the evaluation of skill transfer of surgical skills.

Indexed as

Clinical CompetenceLaparoscopyCadaverHumansMotionNephrectomySurgical Instruments

Identifiers

PMID38917181
PMCPMC11198862

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.