Evidence map›Paper›PMID 36249558›Full record

ArticleIEEE transactions on medical robotics and bionics2022

Robotic Autonomy for Magnetic Endoscope Biopsy.

James W Martin, Lavinia Barducci, Bruno Scaglioni, Joseph C Norton, Conchubhair Winters, Venkataraman Subramanian, Alberto Arezzo, Keith L Obstein, Pietro Valdastri

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on medical robotics and bionics, 2022. 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
2.6field-weighted citation impact, top 10% of its field
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

4 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

9 authors at 4 institutions in 3 countries.

James W MartinSTORM Lab UK, University of Leeds, Leeds, UK.
Lavinia BarducciSTORM Lab UK, University of Leeds, Leeds, UK.
Bruno ScaglioniSTORM Lab UK, University of Leeds, Leeds, UK.
Joseph C NortonSTORM Lab UK, University of Leeds, Leeds, UK.
Conchubhair WintersLeeds Teaching Hospitals NHS Trust, St James's University Hospital, Leeds, UK.
Venkataraman SubramanianLeeds Teaching Hospitals NHS Trust, St James's University Hospital, Leeds, UK.
Alberto ArezzoDepartment of Surgical Sciences, University of Torino, Turin, Italy.
Keith L ObsteinSTORM Lab USA, Vanderbilt University, Nashville, TN, USA, Vanderbilt University Medical Center, Nashville, TN, USA.
Pietro ValdastriSTORM Lab UK, University of Leeds, Leeds, UK.
University of Leeds · GBLeeds Teaching Hospitals NHS Trust · GBUniversity of Turin · ITVanderbilt University · US

Funding

A magnetic capsule endoscope for colonoscopy in patients with inflammatory bowel diseaseR01EB018992 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI OBSTEIN, KEITH L · 2014 to 2024
$2.8M
Cancer Research UK 27744NIBIB NIH HHS R01 EB018992
6 · The paper itself

Abstract

Magnetically actuated endoscopes are currently transitioning in to clinical use for procedures such as colonoscopy, presenting numerous benefits over their conventional counterparts. Intelligent and easy-to-use control strategies are an essential part of their clinical effectiveness due to the un-intuitive nature of magnetic field interaction. However, work on developing intelligent control for these devices has mainly been focused on general purpose endoscope navigation. In this work, we investigate the use of autonomous robotic control for magnetic colonoscope intervention via biopsy, another major component of clinical viability. We have developed control strategies with varying levels of robotic autonomy, including semi-autonomous routines for identifying and performing targeted biopsy, as well as random quadrant biopsy. We present and compare the performance of these approaches to magnetic endoscope biopsy against the use of a standard flexible endoscope on bench-top using a colonoscopy training simulator and silicone colon model. The semi-autonomous routines for targeted and random quadrant biopsy were shown to reduce user workload with comparable times to using a standard flexible endoscope.

Indexed as

Autonomous systemsEndoscopesMedical deviceMedical roboticsRobot control

Identifiers

PMID36249558
PMCPMC9555223
OpenAlexW4285120271

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.