Evidence map›Paper›PMID 34746679›Full record

ArticleIEEE transactions on medical robotics and bionics2020

MagnetoSuture: Tetherless Manipulation of Suture Needles.

Lamar O Mair, Xiaolong Liu, Bhargav Dandamudi, Kamakshi Jain, Sagar Chowdhury, Jeremy Weed, Yancy Diaz-Mercado, Irving N Weinberg, Axel Krieger

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on medical robotics and bionics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
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  8. Towards Autonomous Control of Magnetic Suture Needles.Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems · 2020
    Article
  9. Localization and Control of Magnetic Suture Needles in Cluttered Surgical Site with Blood and Tissue.Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems
    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 2 institutions in 1 country.

Lamar O MairWeinberg Medical Physics, Inc., North Bethesda, Maryland 20852 USA.
Xiaolong LiuDepartment of Mechanical Engineering, University of Maryland, College Park, and the Maryland Robotics Center, College Park, Maryland 20742 USA.
Bhargav DandamudiDepartment of Mechanical Engineering, University of Maryland, College Park, and the Maryland Robotics Center, College Park, Maryland 20742 USA.
Kamakshi JainDepartment of Mechanical Engineering, University of Maryland, College Park, and the Maryland Robotics Center, College Park, Maryland 20742 USA.
Sagar ChowdhuryWeinberg Medical Physics, Inc., North Bethesda, Maryland 20852 USA.
Jeremy WeedDepartment of Mechanical Engineering, University of Maryland, College Park, and the Maryland Robotics Center, College Park, Maryland 20742 USA.
Yancy Diaz-MercadoDepartment of Mechanical Engineering, University of Maryland, College Park, and the Maryland Robotics Center, College Park, Maryland 20742 USA.
Irving N WeinbergWeinberg Medical Physics, Inc., North Bethesda, Maryland 20852 USA.
Axel KriegerDepartment of Mechanical Engineering, University of Maryland, College Park, and the Maryland Robotics Center, College Park, Maryland 20742 USA.
University of Maryland, College Park · USWeinberg Medical Physics (United States) · US

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
NIBIB NIH HHS R01 EB020610
6 · The paper itself

Abstract

This paper demonstrates the feasibility of ligation and tissue penetration for surgical suturing tasks using magnetically actuated suture needles. Manipulation of suture needles in minimally invasive surgery involves using articulated manual/robotic tools for needle steering and controlling needle-tissue or thread-tissue interactions. The large footprints of conventional articulated surgical tools significantly increase surgical invasiveness, potentially leading to longer recovery times, tissue damage, scarring, or associated infections. Aiming to address these issues, we investigate the feasibility of using magnetic fields to tetherlessly steer suture needles. The primary challenge of such a concept is to provide sufficient force for tissue penetration and ligation. In this work, we demonstrate proof-of-concept capabilities using the MagnetoSuture™ system, performing tissue penetration and ligation tasks using

Indexed as

Electromagnetic systemmagnetic controlmagnetic needle steeringsuturetissue ligationtissue penetration

Identifiers

PMID34746679
PMCPMC8570553
OpenAlexW3016347190

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.