Evidence map›Paper›PMID 40029545›Full record

ArticleCVIR endovascular2025

Impact of robotic assistance on the learning curve in endovascular interventions: exploring the role of operator experience with the CorPath GRX system.

Tatjana Dell, Marilia B Voigt, Alexander Isaak, Alexander Boehner, Claus Pieper, Narine Mesropyan, Patrick Kupczyk, Julian Luetkens, Daniel Kuetting

Abstract read
In one paragraph

Article in CVIR endovascular, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

9 authors.

Tatjana DellDepartment of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (Qilab), University Hospital Bonn, Venusberg-Campus 1, Bonn, 53127, Germany. tatjana.dell@ukbonn.de.ORCID http://orcid.org/0000-0002-2835-8560
Marilia B VoigtDepartment of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (Qilab), University Hospital Bonn, Venusberg-Campus 1, Bonn, 53127, Germany.
Alexander IsaakDepartment of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (Qilab), University Hospital Bonn, Venusberg-Campus 1, Bonn, 53127, Germany.
Alexander BoehnerDepartment of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (Qilab), University Hospital Bonn, Venusberg-Campus 1, Bonn, 53127, Germany.
Claus PieperDepartment of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (Qilab), University Hospital Bonn, Venusberg-Campus 1, Bonn, 53127, Germany.
Narine MesropyanDepartment of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (Qilab), University Hospital Bonn, Venusberg-Campus 1, Bonn, 53127, Germany.
Patrick KupczykDepartment of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (Qilab), University Hospital Bonn, Venusberg-Campus 1, Bonn, 53127, Germany.
Julian LuetkensDepartment of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (Qilab), University Hospital Bonn, Venusberg-Campus 1, Bonn, 53127, Germany.
Daniel KuettingDepartment of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (Qilab), University Hospital Bonn, Venusberg-Campus 1, Bonn, 53127, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study investigates how endovascular interventionalists adapt to using a robotic platform, specifically the CorPath GRX Robotic System, and examines the influence of prior manual catheterization experience. MATERIALS AND

methodsAn in-vitro trial was conducted to assess the adaptation to robot-assisted catheter-guided interventions in comparison to manual catheterization using a neurovascular phantom. Three interventional radiologists (beginner: no manual experience; intermediate: 3 years; expert: 10 years) with varying experience levels performed three corresponding robotic and manual guided superselective catherization tasks with three attempts per position with both approaches. Procedure time and total radiation dose was recorded.

resultsFor the beginner reduced intervention times were noted using the robot-assisted approach (mean: 123 s) in comparison to manual catheterization (mean: 257 s; p = 0.008), whilst no differences were seen in between procedure durations for the intermediate (mean: 71 s for manual versus 102 s for robotic; p = 0.388) and expert interventionalist (mean: 30 s for manual versus 42 s for robotic; p = 0.479). The beginner also benefited significantly from robot-assisted procedures with lower emitted total radiation doses (mean: 0.007 Gy for manual versus 0.003 Gy for robotic; p = 0.007), while no significant differences are observed for intermediate (mean: 0.002 Gy for manual versus 0.003 Gy for robotic; p = 0.137) and expert practitioners (mean: 0.0008 Gy for manual versus 0.001 Gy for robotic; p = 0.459).

conclusionRobot-assisted platforms accelerate skill acquisition for beginners while maintaining efficiency for experienced practitioners. However, addressing costs and training requirements is essential for wider adoption and optimized outcomes.

Indexed as

EndovascularLearning curveRobotics

Identifiers

PMID40029545
PMCPMC11876475

What OpenQuestion holds

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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.