Evidence map›Paper›PMID 40789773›Full record

ArticleSurgical endoscopy2025

Evaluation of control strategies for robot-assisted multi-bending endoscope system (RAMBES).

Kosuke Yokoyama, Ryu Nakadate, Toshitatsu Takao, Yoshinori Morita, Norihito Wada, Yoshihiro Muragaki

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Surgical endoscopy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Kosuke YokoyamaDepartment of Medical Device Engineering, Kobe University Graduate School of Medicine, 7-5-1, Kusunoki-cho, Chuo-Ku, Kobe-Shi, Hyogo, 650-0017, Japan.ORCID http://orcid.org/0009-0008-9141-6920
Ryu NakadateDepartment of Medical Device Engineering, Kobe University Graduate School of Medicine, 7-5-1, Kusunoki-cho, Chuo-Ku, Kobe-Shi, Hyogo, 650-0017, Japan. nakadate@people.kobe-u.ac.jp.ORCID http://orcid.org/0000-0002-2314-6921
Toshitatsu TakaoDepartment of Medical Device Engineering, Kobe University Graduate School of Medicine, 7-5-1, Kusunoki-cho, Chuo-Ku, Kobe-Shi, Hyogo, 650-0017, Japan.
Yoshinori MoritaDepartment of Medical Device Engineering, Kobe University Graduate School of Medicine, 7-5-1, Kusunoki-cho, Chuo-Ku, Kobe-Shi, Hyogo, 650-0017, Japan.
Norihito WadaDepartment of Medical Device Engineering, Kobe University Graduate School of Medicine, 7-5-1, Kusunoki-cho, Chuo-Ku, Kobe-Shi, Hyogo, 650-0017, Japan.
Yoshihiro MuragakiDepartment of Medical Device Engineering, Kobe University Graduate School of Medicine, 7-5-1, Kusunoki-cho, Chuo-Ku, Kobe-Shi, Hyogo, 650-0017, Japan.

Funding

Japan Society for the Promotion of Science London JP24K15765
6 · The paper itself

Abstract

backgroundMulti-bending endoscopes, equipped with multiple articulating segments, enable multi-directional access to lesions and are considered valuable for high-difficulty procedures such as endoscopic submucosal dissection. However, because of their operational complexity, conventional manual manipulation often lacks intuitiveness and efficiency. This study aimed to implement and compare multiple control strategies for a multi-bending endoscope robot to identify the most effective and intuitive method of operation.

methodsWe developed a master-follower robotic system consisting of a 6 degrees-of-freedom (DoF) multi-bending endoscope and 3DoF instrument followers. Three control strategies were implemented: mode-switching control (MS), single-hand position control (SP), and joint-to-joint control (JJ). A user study was conducted with 14 non-clinician participants. Objective and subjective evaluations were performed under two experimental conditions: with and without external obstacles.

resultsIn the obstacle-free condition, both SP and JJ achieved significantly higher task success rates and shorter task completion times than MS. Under obstructed conditions, JJ demonstrated significantly superior performance relative to the other two methods. MS required the longest training time and exhibited the highest RAW-task load index workload scores, indicating a greater learning cost and higher operator burden. Subjectively, SP was rated as the most intuitive method in the obstacle-free environment, while JJ was considered the most intuitive under conditions involving obstacles.

conclusionsThis study revealed that the effectiveness of control strategies for multi-bending endoscope manipulation is highly dependent on environmental conditions. Notably, the JJ method demonstrated strong operability and intuitiveness even in the presence of environmental interference, suggesting its potential as a promising control strategy for multi-bending endoscopic systems.

Indexed as

EndoscopesRobotic Surgical ProceduresAdultEquipment DesignFemaleHumansMaleTask Performance and AnalysisEndoscopeEndoscopic submucosal dissectionESDMulti-bendingNovel deviceRobotic system

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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.