Evidence map›Paper›PMID 37002481›Full record

ReviewCardiovascular and interventional radiology2023

Current State of Robotics in Interventional Radiology.

Ghazal Najafi, Kornelia Kreiser, Mohamed E M K Abdelaziz, Mohamad S Hamady

Abstract readReview
In one paragraph

Review in Cardiovascular and interventional radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Review
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  11. Review
  12. Interventional Radiology: Towards Personalized Medicine.Journal of personalized medicine · 2025
    Article
  13. Review
  14. Article
  15. Article
  16. Experimental evaluation of virtual needle insertion framework with enhanced haptic feedback.International journal of computer assisted radiology and surgery · 2025
    Article
  17. Article
  18. Review
  19. Review
  20. Review
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

4 authors.

Ghazal NajafiDepartment of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK. Ghazal.najafi18@imperial.ac.uk.ORCID http://orcid.org/0000-0003-4200-1661
Kornelia KreiserDepartment of Neuroradiology, Rehabilitations - und Universitätskliniken Ulm, 89081, Ulm, Germany.
Mohamed E M K AbdelazizThe Hamlyn Centre, Imperial College London, London, SW7 2AZ, UK.
Mohamad S HamadyDepartment of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a relatively new specialty with a minimally invasive nature, the field of interventional radiology is rapidly growing. Although the application of robotic systems in this field shows great promise, such as with increased precision, accuracy, and safety, as well as reduced radiation dose and potential for teleoperated procedures, the progression of these technologies has been slow. This is partly due to the complex equipment with complicated setup procedures, the disruption to theatre flow, the high costs, as well as some device limitations, such as lack of haptic feedback. To further assess these robotic technologies, more evidence of their performance and cost-effectiveness is needed before their widespread adoption within the field. In this review, we summarise the current progress of robotic systems that have been investigated for use in vascular and non-vascular interventions.

Indexed as

Endovascular ProceduresRoboticsRobotic Surgical ProceduresSurgery, Computer-AssistedHumansRadiology, InterventionalEndovascularImage guided roboticsInterventional radiologyRobotRobotic systems

Identifiers

PMID37002481
PMCPMC10156773

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.