Evidence map›Paper›PMID 30424053›Full record

ArticleMicromachines2018

Study of the Operational Safety of a Vascular Interventional Surgical Robotic System.

Jian Guo, Xiaoliang Jin, Shuxiang Guo

Abstract read
In one paragraph

Article in Micromachines, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Robotics for Neuroendovascular Therapy.Journal of neuroendovascular therapy · 2025
    Review
  4. Article
  5. Article
  6. A Review of Robotic Interventional Neuroradiology.AJNR. American journal of neuroradiology · 2021
    Review
  7. Article
  8. 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

3 authors.

Jian GuoKey Laboratory for Control Theory and Application in Complicated Systems and Biomedical Robot Laboratory, Tianjin University of Technology, Tianjin 300384, China. jianguo@tjut.edu.cn.
Xiaoliang JinKey Laboratory for Control Theory and Application in Complicated Systems and Biomedical Robot Laboratory, Tianjin University of Technology, Tianjin 300384, China. 163126319@stud.tjut.edu.cn.
Shuxiang GuoKey Laboratory for Control Theory and Application in Complicated Systems and Biomedical Robot Laboratory, Tianjin University of Technology, Tianjin 300384, China. guoshuxiang@bit.edu.cn.

Funding

Key Project of Scientific and Technological Support of Tianjin 15ZCZDSY00910National High Technology Research Development Plan (863 Plan) 2015AA043202National Natural Science Foundation of China 61703305Tianjin Key Laboratory for Control Theory and Application in Complicated Systems TJKL-CTACS-201701
6 · The paper itself

Abstract

This paper proposes an operation safety early warning system based on LabView (2014, National Instruments Corporation, Austin, TX, USA) for vascular interventional surgery (VIS) robotic system. The system not only provides intuitive visual feedback information for the surgeon, but also has a safety early warning function. It is well known that blood vessels differ in their ability to withstand stress in different age groups, therefore, the operation safety early warning system based on LabView has a vascular safety threshold function that changes in real-time, which can be oriented to different age groups of patients and a broader applicable scope. In addition, the tracing performance of the slave manipulator to the master manipulator is also an important index for operation safety. Therefore, we also transformed the slave manipulator and integrated the displacement error compensation algorithm in order to improve the tracking ability of the slave manipulator to the master manipulator and reduce master⁻slave tracking errors. We performed experiments "in vitro" to validate the proposed system. According to previous studies, 0.12 N is the maximum force when the blood vessel wall has been penetrated. Experimental results showed that the proposed operation safety early warning system based on LabView combined with operating force feedback can effectively avoid excessive collisions between the surgical catheter and vessel wall to avoid vascular puncture. The force feedback error of the proposed system is maintained between ±20 mN, which is within the allowable safety range and meets our design requirements. Therefore, the proposed system can ensure the safety of surgery.

Indexed as

blood vesselsdisplacement error compensation algorithmforce feedbackmaster–slave tracking errorsafety early warningvascular interventional surgery (VIS)

Identifiers

PMID30424053
PMCPMC6187718

What OpenQuestion holds

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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.