Evidence map›Paper›PMID 29503760›Full record

ArticleProceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems2017

Semi-Autonomous Electrosurgery for Tumor Resection Using a Multi-Degree of Freedom Electrosurgical Tool and Visual Servoing.

Justin D Opfermann, Simon Leonard, Ryan S Decker, Nicholas A Uebele, Christopher E Bayne, Arjun S Joshi, Axel Krieger

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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  5. Article
  6. Supervised Autonomous Electrosurgery for Soft Tissue Resection.Proceedings. IEEE International Symposium on Bioinformatics and Bioengineering · 2021
    Article
  7. Article
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  11. Optical Coherence Tomography-Guided Robotic Ophthalmic Microsurgery via Reinforcement Learning from Demonstration.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 2020
    Article
  12. Article
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  14. Article
  15. A Confidence-Based Shared Control Strategy for the Smart Tissue Autonomous Robot (STAR).Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems · 2018
    Article
  16. Semi-Autonomous Laparoscopic Robotic Electro-surgery with a Novel 3D Endoscope.IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation · 2018
    Article
  17. Review
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

7 authors.

Justin D OpfermannSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, 111 Michigan Ave. N.W., Washington, DC 20010.
Simon LeonardElectrical Engineering Department, Johns Hopkins University, Baltimore, MD 21211.
Ryan S DeckerSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, 111 Michigan Ave. N.W., Washington, DC 20010.
Nicholas A UebeleElectrical Engineering Department, Johns Hopkins University, Baltimore, MD 21211.
Christopher E BayneSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, 111 Michigan Ave. N.W., Washington, DC 20010.
Arjun S JoshiDivision of Otolaryngology - Head and Neck Surgery at The George Washington University, Washington, DC 20052.
Axel KriegerSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, 111 Michigan Ave. N.W., Washington, DC 20010.

Funding

Next Generation of Surgical Imaging and Robotics for Supervised Autonomous Soft Tissue SurgeryR01EB020610 · NIBIB · UNIV OF MARYLAND, COLLEGE PARK · PI HSIEH, MICHAEL HARRISON, KANG, JIN U · 2016 to 2019
$1.5M
Development and Pre-Clinical Evaluation of a Robotic System for Supervised Autonomous Tumor SurgeryR21EB024707 · NIBIB · UNIV OF MARYLAND, COLLEGE PARK · PI KRIEGER, AXEL · 2017 to 2018
$446k
NIBIB NIH HHS R01 EB020610NIBIB NIH HHS R21 EB024707
6 · The paper itself

Abstract

This paper specifies a surgical robot performing semi-autonomous electrosurgery for tumor resection and evaluates its accuracy using a visual servoing paradigm. We describe the design and integration of a novel, multi-degree of freedom electrosurgical tool for the smart tissue autonomous robot (STAR). Standardized line tests are executed to determine ideal cut parameters in three different types of porcine tissue. STAR is then programmed with the ideal cut setting for porcine tissue and compared against expert surgeons using open and laparoscopic techniques in a line cutting task. We conclude with a proof of concept demonstration using STAR to semi-autonomously resect pseudo-tumors in porcine tissue using visual servoing. When tasked to excise tumors with a consistent 4mm margin, STAR can semi-autonomously dissect tissue with an average margin of 3.67 mm and a standard deviation of 0.89mm.

Identifiers

PMID29503760
PMCPMC5830156

What OpenQuestion holds

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Registered trials

None linked

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.