Evidence map›Paper›PMID 40656903›Full record

Articlenpj Robotics2025

A variable stiffness robotically steerable guidewire for endovascular interventions.

Timothy A Brumfiel, Revanth Konda, Nidhi Malhotra, Jaydev P Desai

Abstract read
In one paragraph

Article in npj Robotics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Bio-Inspired Micro-Fin-Assisted Multi-Modal Vascular Intervention.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    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

4 authors.

Timothy A BrumfielMedical Robotics and Automation (RoboMed) Laboratory, Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA USA.
Revanth KondaMedical Robotics and Automation (RoboMed) Laboratory, Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA USA.
Nidhi MalhotraMedical Robotics and Automation (RoboMed) Laboratory, Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA USA.
Jaydev P DesaiMedical Robotics and Automation (RoboMed) Laboratory, Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA USA.

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

Endovascular interventions typically begin with the placement of a guidewire. Guidewire placement is challenging due to tortuous anatomy and the lack of steerability at the guidewire tip. Navigation often requires several guidewires with different stiffnesses to ensure the target is safely reached. This results in longer procedure times, extended radiation exposure to patients, and higher healthcare costs. To address these challenges, we present the design, modeling, and control of a tendon-driven robotically steerable guidewire with controllable stiffness along its proximal segment through a proposed motion control scheme. Models to capture the motion of the guidewire are presented and image feedback is utilized to achieve closed-loop control. The proposed controller exhibited maximum deflection RMSE of 1.82° and 0.70° for the distal and stiffening joints, respectively. The stiffening joint achieved the desired stiffnesses with a maximum RMSE of 1.9 × 10

Indexed as

Biomedical engineeringMechanical engineering

Identifiers

PMID40656903
PMCPMC12245716

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.