Evidence map›Paper›PMID 37614723›Full record

ArticleIEEE robotics and automation letters2023

Model-based Design of the COAST Guidewire Robot for Large Deflection.

Yash Chitalia, Achraj Sarma, Timothy A Brumfiel, Nancy J Deaton, Maxina Sheft, Jaydev P Desai, Fellow IEEE

Abstract read
In one paragraph

Article in IEEE robotics and automation letters, 2023. 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.

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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.

Yash ChitaliaHealthcare Robotics and Telesurgery (HeaRT) Laboratory, Department of Mechanical Engineering, University of Louisville, KY, USA. He contributed to the work presented in this paper when he was a graduate student in the RoboMed Laboratory at the Georgia Institute of Technology, GA, USA.
Achraj Sarmacontributed to the work presented in this paper when he was a graduate student in the RoboMed Laboratory at the Georgia Institute of Technology, GA, USA.
Timothy A BrumfielMedical Robotics and Automation (RoboMed) Laboratory, Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Nancy J DeatonMedical Robotics and Automation (RoboMed) Laboratory, Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Maxina Sheftcontributed to the work presented in this paper when she was an undergraduate student at the Georgia Institute of Technology.
Jaydev P DesaiMedical Robotics and Automation (RoboMed) Laboratory, Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Fellow IEEE

Funding

Ultrasound-guided, Robotically Steerable Guidewire for Endovascular InterventionsR01HL144714 · NHLBI · GEORGIA INSTITUTE OF TECHNOLOGY · PI DESAI, JAYDEV P. · 2019 to 2022
$2.8M
NHLBI NIH HHS R01 HL144714
6 · The paper itself

Abstract

Minimally invasive endovascular procedures involve the manual placement of a guidewire, which is made difficult by vascular tortuosity and the lack of precise tip control. Steerable guidewire systems have been developed with tendon-driven, magnetic, and concentric tube actuation strategies to enable precise tip control, however, selecting machining parameters for such robots does not have a strict procedure. In this paper, we develop a systematic design procedure for selecting the tube pairs of the COaxially Aligned STeerable (COAST) guidewire robot. This includes the introduction of a mechanical model that accounts for micromachining-induced pre-curvatures with the goal of determining design parameters that reduce combined distal tip pre-curvature and minimize abrupt changes in actuated tip position for the COAST guidewire robot through selection of the best flexural rigidity between the tube pairs. We present adjustments in the kinematics modeling of COAST robot tip bending motion, and use these to characterize the bending behavior of the COAST robot for varying geometries of the micromachined tubes, with an average RMSE value for the tip position error of 0.816 mm in the validation study.

Indexed as

Compliant JointsMechanismsTendon/Wire Mechanism

Identifiers

PMID37614723
PMCPMC10443931

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.