Evidence map›Paper›PMID 39131204›Full record

ArticleIEEE transactions on medical robotics and bionics2024

Simulation-based Flexible Needle Control with Single-core FBG Feedback for Spinal Injections.

Yanzhou Wang, Yangsheng Xu, Jiarong Kang, Jan Fritz, Iulian Iordachita

Abstract read
In one paragraph

Article in IEEE transactions on medical robotics and bionics, 2024. 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. Article
  2. Design and Evaluation of a Needle Manipulation System with EM Tracking for CT-Guided Spinal Injections.... International Symposium on Medical Robotics. International Symposium on Medical Robotics · 2025
    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

5 authors.

Yanzhou WangDepartment of Mechanical Engineering and Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, Maryland, USA.
Yangsheng XuDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
Jiarong KangDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
Jan FritzDepartment of Radiology, New York University, New York City, New York, USA.
Iulian IordachitaDepartment of Mechanical Engineering and Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, Maryland, USA.

Funding

Adaptive Percutaneous Prostate Interventions using Sensorized NeedleR01CA235134 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI Nobuhiko Hata, IULIAN IOAN IORDACHITA · 2019 to 2026
$3.6M
MRI Compatible Robot for Improved Pain Injections in Adults and ChildrenR01EB025179 · NIBIB · CHILDREN'S RESEARCH INSTITUTE · PI CLEARY, KEVIN R. · 2018 to 2021
$2.8M
NCI NIH HHS R01 CA235134NIBIB NIH HHS R01 EB025179
6 · The paper itself

Abstract

Objective: We present a general framework of simultaneous needle shape reconstruction and control input generation for robot-assisted spinal injection procedures, without continuous imaging feedback. Methods: System input-output mapping is generated with a real-time needle-tissue interaction simulation, and single-core FBG sensor readings are used as local needle shape feedback within the same simulation framework. FBG wavelength shifts due to temperature variation is removed by exploiting redundancy in fiber arrangement. Results: Targeting experiments performed on both plastisol lumbar phantoms as well as an Significance: Our clinically inspired control strategy and workflow is self-contained and not dependent on the modality of imaging guidance. The generalizability of the proposed approach can be applied to other needle-based interventions where medical imaging cannot be reliably utilized as part of a closed-loop control system for needle guidance.

Indexed as

Medical robotsMotion controlSurgical robots

Identifiers

PMID39131204
PMCPMC11315370

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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.