Evidence map›Paper›PMID 40809188›Full record

Article... International Symposium on Medical Robotics. International Symposium on Medical Robotics2025

Evaluation of Needle Manipulation Controller Subject to Uncertainty of Tip Pose Feedback: A Simulation Study.

Junling Mei, Chang Chang, Yanzhou Wang, Simon Leonard, Iulian Iordachita

Abstract read
In one paragraph

Article in ... International Symposium on Medical Robotics. International Symposium on Medical Robotics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Junling MeiLaboratory of Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD, USA.
Chang ChangDepartment of Mechanical Engineering and the Laboratory of Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD, USA.
Yanzhou WangDepartment of Mechanical Engineering and the Laboratory of Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD, USA.
Simon LeonardDepartment of Computer Science and the Laboratory of Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD, USA.
Iulian IordachitaDepartment of Mechanical Engineering and the Laboratory of Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD, USA.

Funding

Open Software Platform for Data-Driven Image-Guided Robotic InterventionsR01EB020667 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI DIAZ-MERCADO, YANCY, KRIEGER, AXEL · 2015 to 2024
$4.1M
Adaptive Percutaneous Prostate Interventions using Sensorized NeedleR01CA235134 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI Nobuhiko Hata, IULIAN IOAN IORDACHITA · 2019 to 2026
$3.6M
Robot-assisted catheter placement with novel shape-sensing stylet to facilitate adaptive image guided pelvic brachytherapyR01EB036015 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI Robert A. Cormack, IULIAN IOAN IORDACHITA · 2024 to 2026
$1.9M
NCI NIH HHS R01 CA235134NIBIB NIH HHS R01 EB020667NIBIB NIH HHS R01 EB036015
6 · The paper itself

Abstract

In this paper, we evaluate the performance of our controller for flexible needle manipulation for percutaneous interventions in a finite element (FE) simulator. We investigate the use of electromagnetic (EM) tracking as needle tip pose feedback, and how artificial sensor noises can affect tracking performance of the controller. In our simulated study, the control system shows high targeting accuracy and robustness with an overall tip position error of 0.49mm. The addition of needle tip orientation feedback further improves the targeting accuracy for deeper targets, with average error of 0.81mm when only using position feedback, and 0.55mm when using additional orientation feedback.

Identifiers

PMID40809188
PMCPMC12344878

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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.