Evidence map›Paper›PMID 33664412›Full record

ArticleScientific reports2021

Feasibility, safety and accuracy of a CT-guided robotic assistance for percutaneous needle placement in a swine liver model.

Boris Guiu, Thierry De Baère, Guillaume Noel, Maxime Ronot

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 9% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Robotic Assistance in Percutaneous Liver Ablation Therapies: A Systematic Review and Meta-Analysis.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2024
    Article
  10. 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
    Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Current State of Robotics in Interventional Radiology.Cardiovascular and interventional radiology · 2023
    Review
  17. Article
  18. Article
  19. Robotic Tissue Sampling for Safe Post-Mortem Biopsy in Infectious Corpses.IEEE transactions on medical robotics and bionics · 2022
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 4 institutions in 1 country.

Boris GuiuDepartment of Radiology, St-Eloi University Hospital, 80 avenue Augustin Fliche, 34295, Montpellier, France. B-guiu@chu-montpellier.fr.
Thierry De BaèreDepartment of Interventional Radiology, Gustave Roussy Institut, Villejuif, France.
Guillaume NoelDepartment of Pre-Clinical, Biomedical and Analytical Investigations, Biovivo/Claude Bourgelat Institut, VetAgro Sup, Marcy l'Etoile, France.
Maxime RonotDepartment of Radiology, Beaujon Hospital, APHP.Nord, Clichy, & Université de Paris, Paris, France.
Assistance Publique – Hôpitaux de Paris · FRHôpital Saint Eloi · FRInstitut Gustave Roussy · FRUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evaluate the feasibility, safety and accuracy of a CT-guided robotic assistance for percutaneous needle placement in the liver. Sixty-six fiducials were surgically inserted into the liver of ten swine and used as targets for needle insertions. All CT-scan acquisitions and robotically-assisted needle insertions were coordinated with breath motion using respiratory monitoring. Skin entry and target points were defined on planning CT-scan. Then, robotically-assisted insertions of 17G needles were performed either by experienced interventional radiologists or by a novice. Post-needle insertion CT-scans were acquired to assess accuracy (3D deviation, ie. distance from needle tip to predefined target) and safety. All needle insertions (43/43; median trajectory length = 83 mm (interquartile range [IQR] 72-105 mm) could be performed in one (n = 36) or two (n = 7) attempts (100% feasibility). Blinded evaluation showed an accuracy of 3.5 ± 1.3 mm. Accuracy did not differ between novice and experienced operators (3.7 ± 1.3 versus 3.4 ± 1.2 mm, P = 0.44). Neither trajectory angulation nor trajectory length significantly impacted accuracy. No complications were encountered. Needle insertion using the robotic device was shown feasible, safe and accurate in a swine liver model. Accuracy was influenced neither by the trajectory length nor by trajectory angulations nor by operator's experience. A prospective human clinical trial is recruiting.

Indexed as

AnimalsHumansImage-Guided BiopsyLiverNeedlesPhantoms, ImagingRadiography, InterventionalRobotic Surgical ProceduresSwineTomography, X-Ray Computed

Identifiers

PMID33664412
PMCPMC7933138
OpenAlexW3134114911

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.