Evidence map›Paper›PMID 35257224›Full record

ArticleEuropean radiology experimental2022

Robotic assistance for percutaneous needle insertion in the kidney: preclinical proof on a swine animal model.

Thierry de Baere, Charles Roux, Guillaume Noel, Alexandre Delpla, Frederic Deschamps, Eloi Varin, Lambros Tselikas

Open access · goldAbstract read
In one paragraph

Article in European radiology experimental, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Semi-automatic puncture robotic system based on real-time multi-modal image fusion: preclinical evaluation.International journal of computer assisted radiology and surgery · 2025
    Article
  4. Real-time 3D US-CT fusion-based semi-automatic puncture robot system: clinical evaluation.International journal of computer assisted radiology and surgery · 2025
    Article
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  6. Article
  7. Article
  8. Article
  9. Review
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  13. Article
  14. Current State of Robotics in Interventional Radiology.Cardiovascular and interventional radiology · 2023
    Review
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  16. Article
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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 2 institutions in 1 country.

Thierry de BaereDepartment of Interventional Radiology, Gustave Roussy, Villejuif, France. thierry.debaere@gustaveroussy.fr.ORCID http://orcid.org/0000-0002-4556-7663
Charles RouxDepartment of Interventional Radiology, Gustave Roussy, Villejuif, France.
Guillaume NoelDepartment of Pre-Clinical, Biomedical and Analytical Investigations, Biovivo/Claude Bourgelat Institut, VetAgro Sup, Marcy l'Etoile, France.
Alexandre DelplaDepartment of Interventional Radiology, Gustave Roussy, Villejuif, France.
Frederic DeschampsDepartment of Interventional Radiology, Gustave Roussy, Villejuif, France.
Eloi VarinDepartment of Interventional Radiology, Gustave Roussy, Villejuif, France.
Lambros TselikasDepartment of Interventional Radiology, Gustave Roussy, Villejuif, France.
Université Paris-Saclay · FRVetAgro Sup · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe evaluated the accuracy, safety, and feasibility of a computed tomography (CT)-guided robotic assistance system for percutaneous needle placement in the kidney.

methodsFiducials surgically implanted into the kidneys of two pigs were used as targets for subsequent robotically-assisted needle insertion. Robotically-assisted needle insertions and CT acquisitions were coordinated using respiratory monitoring. An initial scan volume data set was used for needle insertion planning defining skin entry and target point. Then, needle insertion was performed according to robot positioning. The accuracy of needle placement was evaluated upon the distance between the needle tip and the predefined target on a post needle insertion scan. A delayed contrast-enhanced CT scan was acquired to assess safety.

resultsEight needle trajectories were performed with a median procedural time measured from turning on the robotic system to post needle insertion CT scan of 21 min (interquartile range 15.5-26.5 min). Blind review of needle placement accuracy was 2.3 ± 1.2 mm (mean ± standard deviation) in lateral deviation, 0.7 ± 1.7 mm in depth deviation, and 2.8 ± 1.3 mm in three-dimensional Euclidian deviation. All needles were inserted on the first attempt, which determined 100% feasibility, without needle readjustment. The angulation and length of the trajectory did not impact on the needle placement accuracy. Two minor procedure-related complications were encountered: 2 subcapsular haematomas (13 × 6 mm and 35 × 6 mm) in the same animal.

conclusionsRobotically-assisted needle insertion was shown feasible, safe and accurate in a swine kidney model. Further larger studies are needed.

Indexed as

RoboticsRobotic Surgical ProceduresAnimalsDisease Models, AnimalKidneyNeedlesPhantoms, ImagingSwineAblation techniquesBiopsy (needle)KidneyRobot-enhanced proceduresTomography (x-ray computed)

Identifiers

PMID35257224
PMCPMC8901810
OpenAlexW4220709362

What OpenQuestion holds

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LicenceCC BY
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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.