Evidence map›Paper›PMID 37408734›Full record

ArticleInternational Mechanical Engineering Congress and Exposition : [proceedings]. International Mechanical Engineering Congress and Exposition

EVALUATION OF NEEDLE DRIVER DESIGNS FOR ROBOT-ASSISTED NEEDLE INSERTIONS UNDER MRI GUIDANCE.

Guanyun Liu, Yanzhou Wang, Gang Li, Kevin Cleary, Iulian Iordachita

Abstract read
In one paragraph

Article in International Mechanical Engineering Congress and Exposition : [proceedings]. International Mechanical Engineering Congress and Exposition. 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.

Guanyun LiuDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD.
Yanzhou WangDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD.
Gang LiSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC.
Kevin ClearySheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC.
Iulian IordachitaDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD.

Funding

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
NIBIB NIH HHS R01 EB025179
6 · The paper itself

Abstract

This paper presents the evaluation of two detachable MR-Conditional needle driver designs for our 4-degree-of-freedom (DOF) robotic platform for MRI-guided spinal injections. Compared to their predecessor, the new designs open up the possibility of intraoperative needle driver attachment, and in order to evaluate the feasibility of such an approach, force and torque requried during the needle driver attachment process are captured to evaluate which of the two designs are better suited for such purpose. A simulated clinical scenario is also carried out to measure the possible position change of the 4-DOF robot with respect to the patient due to intraoperative tool attachment, thus providing future guidance to the proposed clinical workflow in the framework of body-mounted robotic surgical devices.

Identifiers

PMID37408734
PMCPMC10321559

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.