Evidence map›Paper›PMID 26622105›Full record

ReviewSeminars in interventional radiology2015

Navigational Tools for Interventional Radiology and Interventional Oncology Applications.

Monzer A Chehab, Waleed Brinjikji, Alexander Copelan, Aradhana M Venkatesan

Abstract readReview
In one paragraph

Review in Seminars in interventional radiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Electromagnetic Navigation in Cranial Neurosurgery.Advances and technical standards in neurosurgery · 2025
    Review
  5. Article
  6. Evaluation of augmented reality training for a navigation device used for CT-guided needle placement.International journal of computer assisted radiology and surgery · 2024
    Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Bone biopsies guided by augmented reality: a pilot study.European radiology experimental · 2023
    Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Artificial Intelligence in Interventional Radiology.Seminars in interventional radiology · 2022
    Review
  20. 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

4 authors.

Monzer A ChehabDepartment of Diagnostic Radiology and Molecular Imaging, Oakland University William Beaumont School of Medicine, Royal Oak, Michigan.
Waleed BrinjikjiDepartment of Radiology, Mayo Clinic, Rochester, Minnesota.
Alexander CopelanDepartment of Diagnostic Radiology and Molecular Imaging, Oakland University William Beaumont School of Medicine, Royal Oak, Michigan.
Aradhana M VenkatesanSection of Abdominal Imaging, Department of Diagnostic Radiology, MD Anderson Cancer Center, Houston, Texas.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interventional radiologist is increasingly called upon to successfully access challenging biopsy and ablation targets, which may be difficult based on poor visualization, small size, or the proximity of vulnerable regional anatomy. Complex therapeutic procedures, including tumor ablation and transarterial oncologic therapies, can be associated with procedural risk, significant procedure time, and measurable radiation time. Navigation tools, including electromagnetic, optical, laser, and robotic guidance systems, as well as image fusion platforms, have the potential to facilitate these complex interventions with the potential to improve lesion targeting, reduce procedure time, and radiation dose, and thus potentially improve patient outcomes. This review will provide an overview of currently available navigational tools and their application to interventional radiology and oncology. A summary of the pertinent literature on the use of these tools to improve safety and efficacy of interventional procedures compared with conventional techniques will be presented.

Indexed as

interventional oncologyinterventional radiologynavigationnavigational toolstargeting

Identifiers

PMID26622105
PMCPMC4640922

What OpenQuestion holds

Textmetadata
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.