Evidence map›Paper›PMID 25645409›Full record

ArticleJournal of vascular and interventional radiology : JVIR2015

Clinical experience with cone-beam CT navigation for tumor ablation.

Nadine Abi-Jaoudeh, Aradhana M Venkatesan, William Van der Sterren, Alessandro Radaelli, Bart Carelsen, Bradford J Wood

Abstract read
In one paragraph

Article in Journal of vascular and interventional radiology : JVIR, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Role of Fusion Imaging in Image-Guided Thermal Ablations.Diagnostics (Basel, Switzerland) · 2021
    Review
  6. Article
  7. Review
  8. Augmented and Mixed Reality: Technologies for Enhancing the Future of IR.Journal of vascular and interventional radiology : JVIR · 2020
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Paediatric musculoskeletal interventional radiology.The British journal of radiology · 2016
    Review
  18. Article
  19. 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

6 authors.

Nadine Abi-JaoudehDepartment of Radiology and Imaging Sciences, National Institutes of Health, Room 1C365 Building 10 MSC 1182, 9000 Rockville Pike, Bethesda, MD 20892. Electronic address: naj@mail.nih.gov.
Aradhana M VenkatesanDepartment of Radiology and Imaging Sciences, National Institutes of Health, Room 1C365 Building 10 MSC 1182, 9000 Rockville Pike, Bethesda, MD 20892.
William Van der SterreniXR Division, Philips Healthcare, Best, The Netherlands.
Alessandro RadaelliiXR Division, Philips Healthcare, Best, The Netherlands.
Bart CarelseniXR Division, Philips Healthcare, Best, The Netherlands.
Bradford J WoodDepartment of Radiology and Imaging Sciences, National Institutes of Health, Room 1C365 Building 10 MSC 1182, 9000 Rockville Pike, Bethesda, MD 20892.

Funding

Center for Interventional OncologyZIDBC011242 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WOOD, BRADFORD J · 2009 to 2025
$18.7M
Navigation tools for Image Guided Minimally invasive TherapiesZ01CL040011 · CLC · CLINICAL CENTER · PI WOOD, BRADFORD · 2008 to 2008
$25k
Navigation Tools for Image Guided Minimally invasive TherapiesZIACL040011 · CLC · CLINICAL CENTER · PI WOOD, BRADFORD · 2009 to 2025
$0k
Interventional OncologyZIACL040015 · CLC · CLINICAL CENTER · PI WOOD, BRADFORD · 2009 to 2025
$0k
Intramural NIH HHS Z01 CL040011Intramural NIH HHS ZIA CL040011Intramural NIH HHS ZID BC011242
6 · The paper itself

Abstract

purposeTo describe clinical use and potential benefits of cone-beam computed tomography (CT) navigation to perform image-guided percutaneous tumor ablation. MATERIALS AND

methodsAll ablations performed between February 2011 and February 2013 using cone-beam CT navigation were included. There were 16 patients who underwent 20 ablations for 29 lesions. Cone-beam CT ablation planning capabilities include multimodality image fusion and tumor segmentation for visualization, depiction of the predicted ablation zones for intraprocedural planning, and segmentation of the ablated area for immediate verification after treatment. Number and purpose of cone-beam CT scans were examined. The initial ablation plan, defined as number of probes and duration of energy delivery, was recorded for the 20 of the 29 lesions ablated. Technical success and local recurrences were recorded. Primary and secondary effectiveness rates were calculated.

resultsImage fusion was used for 16 lesions, and intraprocedural ultrasound was used for 4 lesions. Of the 20 ablations, where the ablation plans were recorded, there was no deviation from the plan in 14 ablations. In the remaining 6 ablations, iterative planning was needed for complete tumor coverage. An average of 8.7 cone-beam CT scans ± 3.2 were performed per procedure, including 1.3 ± 0.5 for tumor segmentation and planning, 1.7 ± 0.7 for probe position confirmation, and 3.9 ± 2 to ensure complete coverage. Mean follow-up time was 18.6 months ± 6.5. Ablations for 28 of 29 lesions were technically successful (96.5%). Of ablations performed with curative intent, technical effectiveness at 1 month was 25 of 26 lesions (96.1%) and 22 of 26 lesions (84.6%) at last follow-up. Local tumor progression was observed in 11.5% (3 of 26 lesions).

conclusionsCone-beam CT navigation may add information to assist and improve ablation guidance and monitoring.

Indexed as

Cone-Beam Computed TomographyFemaleHumansMaleMiddle AgedNeoplasm Recurrence, LocalNeoplasmsRetrospective StudiesSurgery, Computer-AssistedTreatment Outcome

Identifiers

PMID25645409
PMCPMC4315943

What OpenQuestion holds

Textmetadata
LicenceTDM
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.