Evidence map›Paper›PMID 28296957›Full record

Trial reportPloS one2017

Computer assisted electromagnetic navigation improves accuracy in computed tomography guided interventions: A prospective randomized clinical trial.

Pierre Durand, Alexandre Moreau-Gaudry, Anne-Sophie Silvent, Julien Frandon, Emilie Chipon, Maud Médici, Ivan Bricault

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% of its field
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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

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  11. Evaluation of augmented reality training for a navigation device used for CT-guided needle placement.International journal of computer assisted radiology and surgery · 2024
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  14. CRANE: A Redundant, Multi-Degree-of-Freedom Computed Tomography Robot for Heightened Needle Dexterity within a Medical Imaging Bore.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 2024
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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 at 3 institutions in 1 country.

Pierre DurandDepartment of Imaging, Radiology and Medical Imaging, University Hospital, Grenoble, France.
Alexandre Moreau-GaudryLaboratory of Techniques for biomedical engineering and complexity management - informatics, mathematics and applications, University Grenoble Alpes, Grenoble, France.
Anne-Sophie SilventClinical Investigation Center - Innovative Technology 1406, National Institute of Health and Medical Research, Grenoble, France.
Julien FrandonDepartment of Imaging, Radiology and Medical Imaging, University Hospital, Grenoble, France.
Emilie ChiponClinical Investigation Center - Innovative Technology 1406, National Institute of Health and Medical Research, Grenoble, France.
Maud MédiciClinical Investigation Center - Innovative Technology 1406, National Institute of Health and Medical Research, Grenoble, France.
Ivan BricaultDepartment of Imaging, Radiology and Medical Imaging, University Hospital, Grenoble, France.
Centre d'Investigation Clinique - Innovation Technologique · FRLaboratoire d’Imagerie Biomédicale · FRUniversité Grenoble Alpes · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the accuracy and usability of an electromagnetic navigation system designed to assist Computed Tomography (CT) guided interventions. MATERIALS AND

methods120 patients requiring a percutaneous CT intervention (drainage, biopsy, tumor ablation, infiltration, sympathicolysis) were included in this prospective randomized trial. Nineteen radiologists participated. Conventional procedures (CT group) were compared with procedures assisted by a navigation system prototype using an electromagnetic localizer to track the position and orientation of a needle holder (NAV group). The navigation system displays the needle path in real-time on 2D reconstructed CT images extracted from the 3D CT volume. The regional ethics committee approved this study and all patients gave written informed consent. The main outcome was the distance between the planned trajectory and the achieved needle trajectory calculated from the initial needle placement.

results120 patients were analyzable in intention-to-treat (NAV: 60; CT: 60). Accuracy improved when the navigation system was used: distance error (in millimeters: median[P25%; P75%]) with NAV = 4.1[2.7; 9.1], vs. with CT = 8.9[4.9; 15.1] (p<0.001). After the initial needle placement and first control CT, fewer subsequent CT acquisitions were necessary to reach the target using the navigation system: NAV = 2[2; 3]; CT = 3[2; 4] (p = 0.01).

conclusionThe tested system was usable in a standard clinical setting and provided significant improvement in accuracy; furthermore, with the help of navigation, targets could be reached with fewer CT control acquisitions.

Indexed as

Electromagnetic FieldsHumansProspective StudiesTomography, X-Ray Computed

Identifiers

PMID28296957
PMCPMC5351986
OpenAlexW2632993001

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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.