Evidence map›Paper›PMID 29651715›Full record

ArticleInternational journal of computer assisted radiology and surgery2018

Can tumor coverage evaluated 24 h post-radiofrequency ablation predict local tumor progression of liver metastases?

Frederik Vandenbroucke, Jef Vandemeulebroucke, Nico Buls, Ruedi F Thoeni, Johan de Mey

Open access · hybridAbstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 3 institutions in 3 countries.

Frederik VandenbrouckeDepartment of Radiology, UZ Brussel, Laarbeeklaan 101, 1090, Brussels, Belgium. Frederik.vandenbroucke@uzbrussel.be.ORCID http://orcid.org/0000-0003-2603-0665
Jef VandemeulebrouckeDepartment of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium.
Nico BulsDepartment of Radiology, UZ Brussel, Laarbeeklaan 101, 1090, Brussels, Belgium.
Ruedi F ThoeniDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, USA.
Johan de MeyDepartment of Radiology, UZ Brussel, Laarbeeklaan 101, 1090, Brussels, Belgium.
Universitair Ziekenhuis Brussel · BEUniversity of California, San Francisco · USVrije Universiteit Brussel · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the predictive value for local tumor progression (LTP) of geometrical tumor coverage using the contrast-enhanced (ce-)CT images acquired before and within 24 h after radiofrequency (RF) ablation.

methodsTwenty patients (6 male and 14 female, median age 62 years) with 45 focal hypovascular liver metastases (16 colorectal carcinoma, 3 melanoma and 1 breast carcinoma) underwent RF ablation under CT-guidance and received a ce-PET/CT scan within 24 h post-procedure. Pre- and post-ablation ce-CT-images were aligned using an interactive procedure and used to verify the tumor coverage of the RF ablation. Results were correlated to LTP as recorded during follow-up performed every 2-3 months after the intervention (mean follow-up of 110 weeks) and compared to standard reading performed by three readers of the ce-CT images.

resultsEleven tumors (25%) showed LTP during the follow-up period. One lesion, which did not show LTP, was excluded from analysis due to the poor quality of the alignment. For the remaining, 29 (66%) tumors were completely covered by the ablation zone, 9 (20%) were not, and for 6 (14%) tumors the edges coincided with the edge of the ablation zone. The sensitivity, specificity, PPV and NPV for LTP of having incomplete tumor coverage or no apparent ablative margin versus standard reading of ce-CT were 100, 88, 73 and 100% versus 42, 88, 58 and 82%, respectively.

conclusionsVerifying the tumor coverage of liver metastases by an ablation zone through alignment of pre- and early post-ablation ce-CT images has a high predictive value for LTP.

Indexed as

AdultAgedAged, 80 and overCatheter AblationDisease ProgressionFemaleFollow-Up StudiesHumansLiver NeoplasmsMaleMargins of ExcisionMiddle AgedPositron Emission Tomography Computed TomographyPostoperative PeriodPrognosisTime FactorsImaging evaluationLiver metastasesRF ablationTreatment responseTumor coverage

Identifiers

PMID29651715
PMCPMC6223751
OpenAlexW2796850767

What OpenQuestion holds

Textmetadata
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.