Evidence map›Paper›PMID 39370493›Full record

ArticleInternational journal of computer assisted radiology and surgery2025

An intuitive guidewire control mechanism for robotic intervention.

Rohit Dey, Yichen Guo, Yang Liu, Ajit Puri, Luis Savastano, Yihao Zheng

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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Intraoperative fusion of models and data for robust distance sensing.International journal of computer assisted radiology and surgery · 2026
    Article
  2. 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

6 authors.

Rohit DeyMechanical and Materials Engineering, Worcester Polytechnic Institute, Worcester, MA, USA. rdey@wpi.edu.ORCID http://orcid.org/0000-0001-5786-0608
Yichen GuoRobotics Engineering, Worcester Polytechnic Institute, Worcester, MA, USA.
Yang LiuGlobal Institute of Future Technology, Shanghai Jiao Tong University, Shanghai, China.
Ajit PuriRadiology, UMass Chan Medical School, Worcester, MA, USA.
Luis SavastanoNeurological Surgery, University of California School of Medicine, San Francisco, CA, USA.
Yihao ZhengMechanical and Materials Engineering, Worcester Polytechnic Institute, Worcester, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTeleoperated Interventional Robotic systems (TIRs) are developed to reduce radiation exposure and physical stress of the physicians and enhance device manipulation accuracy and stability. Nevertheless, TIRs are not widely adopted, partly due to the lack of intuitive control interfaces. Current TIR interfaces like joysticks, keyboards, and touchscreens differ significantly from traditional manual techniques, resulting in a shallow, longer learning curve. To this end, this research introduces a novel control mechanism for intuitive operation and seamless adoption of TIRs.

methodsAn off-the-shelf medical torque device augmented with a micro-electromagnetic tracker was proposed as the control interface to preserve the tactile sensation and muscle memory integral to interventionalists' proficiency. The control inputs to drive the TIR were extracted via real-time motion mapping of the interface. To verify the efficacy of the proposed control mechanism to accurately operate the TIR, evaluation experiments using industrial grade encoders were conducted.

resultsA mean tracking error of 0.32 ± 0.12 mm in linear and 0.54 ± 0.07° in angular direction were achieved. The time lag in tracking was found to be 125 ms on average using pade approximation. Ergonomically, the developed control interface is 3.5 mm diametrically larger, and 4.5 g. heavier compared to traditional torque devices.

conclusionWith uncanny resemblance to traditional torque devices while maintaining results comparable to state-of-the-art commercially available TIRs, this research successfully provides an intuitive control interface for potential wider clinical adoption of robot-assisted interventions.

Indexed as

RoboticsRobotic Surgical ProceduresUser-Computer InterfaceEquipment DesignHumansTorqueIntuitive controlMotion mappingRobot-assisted minimally invasive surgeryTeleoperationTracking

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Registered trials

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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.