Evidence map›Paper›PMID 40809187›Full record

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

Design and Evaluation of a Needle Manipulation System with EM Tracking for CT-Guided Spinal Injections.

Chang Chang, Junling Mei, Yanzhou Wang, Lidia Al-Zogbi, Simon Leonard, Amit Jain, Iulian Iordachita

Abstract read
PubMed Full text at PMC Publisher
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

7 authors.

Chang ChangDepartment of Mechanical Engineering and the Laboratory of Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD, USA.
Junling MeiLaboratory 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.
Lidia Al-ZogbiDepartment 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.
Amit JainDepartment of Orthopaedic Surgery, Johns Hopkins University School of Medicine, 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

This paper presents a flexible needle guidance system and its workflow that enables registration of computed tomography (CT) and electromagnetic (EM) tracking systems with a finite element (FE) simulator for needle-based percutaneous spinal injections. CT is used only pre- and postoperatively for surgical planning and confirmation, while EM tracking is combined intraoperatively with an FE-based needle controller to track the planned needle trajectory and avoid obstacles. Evaluation of the proposed system using a multi-layer soft tissue phantom shows an average targeting accuracy of 0.4mm.

Identifiers

PMID40809187
PMCPMC12344882

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.