Evidence map›Paper›PMID 37486544›Full record

ArticleInternational journal of computer assisted radiology and surgery2023

Toward a novel soft robotic system for minimally invasive interventions.

Noah Barnes, Olivia Young, Adira Colton, Xiaolong Liu, Miroslaw Janowski, Dheeraj Gandhi, Ryan Sochol, Jeremy Brown, Axel Krieger

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Bedside Admittance Control of a Dual-Segment Soft Robot for Catheter-Based Interventions.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024
    Article
  4. AN APPROACH FOR 3D MICROPRINTING OF SOFT ROBOTIC BIOPSY TOOLS AT 1 FRENCH LENGTH SCALES VIATechnical digest. Solid-State Sensor, Actuator, and Microsystems Workshop · 2024
    Article
  5. An Approach for 3D Microprinting Soft Robotic Surgical Tools at 1.5 French Length Scales for Endovascular Interventions.IEEE International Conference on Soft Robotics. IEEE International Conference on Soft Robotics · 2024
    Article
  6. One-Piece 3D-Printed Pneumatic Catheter: Dual-Segment Design with Integrated Robotics Control for Endovascular Interventions.IEEE International Conference on Soft Robotics. IEEE International Conference on Soft Robotics · 2024
    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 3 institutions in 1 country.

Noah BarnesDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-3948-2049
Olivia YoungDepartment of Mechanical Engineering, University of Maryland, College Park, MD, USA.ORCID http://orcid.org/0000-0001-9883-8538
Adira ColtonDepartment of Mechanical Engineering, University of Maryland, College Park, MD, USA.ORCID http://orcid.org/0000-0002-9550-8004
Xiaolong LiuDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0001-5335-3473
Miroslaw JanowskiDepartment of Diagnostic Radiology and Nuclear Medicine, University of Maryland, Baltimore, Baltimore, MD, USA.ORCID http://orcid.org/0000-0001-5261-7975
Dheeraj GandhiDepartment of Neurosurgery, University of Maryland Medical Center, Baltimore, MD, USA.ORCID http://orcid.org/0000-0001-6741-5970
Ryan SocholDepartment of Mechanical Engineering, University of Maryland, College Park, MD, USA.ORCID http://orcid.org/0000-0002-9633-8932
Jeremy BrownDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0001-5586-455X
Axel KriegerDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA. axel@jhu.edu.ORCID http://orcid.org/0000-0001-8169-075X
Johns Hopkins University · USUniversity of Maryland, College Park · USUniversity of Maryland, Baltimore · US

Funding

3D-Nanoprinted Soft Robotic Microcatheters with Integrated Microfluidic Circuitry for Cerebrovascular SurgeryR01EB033354 · NIBIB · UNIV OF MARYLAND, COLLEGE PARK · PI SOCHOL, RYAN DANIEL · 2022 to 2025
$2.7M
NIBIB NIH HHS R01 EB033354NIH HHS R01EB03335
6 · The paper itself

Abstract

purposeDuring minimally invasive surgery, surgeons maneuver tools through complex anatomies, which is difficult without the ability to control the position of the tools inside the body. A potential solution for a substantial portion of these procedures is the efficient design and control of a pneumatically actuated soft robot system.

methodsWe designed and evaluated a system to control a steerable catheter tip. A macroscale 3D printed catheter tip was designed to have two separately pressurized channels to induce bending in two directions. A motorized hand controller was developed to allow users to control the bending angle while manually inserting the steerable tip. Preliminary characterization of two catheter tip prototypes was performed and used to map desired angle inputs into pressure commands.

resultsThe integrated robotic system allowed both a novice and a skilled surgeon to position the steerable catheter tip at the location of cylindrical targets with sub-millimeter accuracy. The novice was able to reach each target within ten seconds and the skilled surgeon within five seconds on average.

conclusionThis soft robotic system enables its user to simultaneously insert and bend the pneumatically actuated catheter tip with high accuracy and in a short amount of time. These results show promise concerning the development of a soft robotic system that can improve outcomes in minimally invasive interventions.

Indexed as

RoboticsRobotic Surgical ProceduresCathetersEquipment DesignHumansMinimally Invasive Surgical ProceduresCatheterControlPneumaticRobotic

Identifiers

PMID37486544
PMCPMC10928906
OpenAlexW4385162035

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.