Evidence map›Paper›PMID 31641353›Full record

ArticleJournal of oncology2019

Quantitative Volumetric Assessment of Ablative Margins in Hepatocellular Carcinoma: Predicting Local Tumor Progression Using Nonrigid Registration Software.

P Hendriks, W A Noortman, T R Baetens, A R van Erkel, C S P van Rijswijk, R W van der Meer, M J Coenraad, L F de Geus-Oei, C H Slump, M C Burgmans

Abstract read
In one paragraph

Article in Journal of oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
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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

10 authors.

P HendriksDepartment of Radiology, Leiden University Medical Center, Leiden, Netherlands.ORCID https://orcid.org/0000-0002-4992-9967
W A NoortmanDepartment of Radiology, Leiden University Medical Center, Leiden, Netherlands.
T R BaetensDepartment of Radiology, Leiden University Medical Center, Leiden, Netherlands.
A R van ErkelDepartment of Radiology, Leiden University Medical Center, Leiden, Netherlands.
C S P van RijswijkDepartment of Radiology, Leiden University Medical Center, Leiden, Netherlands.
R W van der MeerDepartment of Radiology, Leiden University Medical Center, Leiden, Netherlands.
M J CoenraadDepartment of Gastroenterology and Hepatology, Leiden University Medical Center, Leiden, Netherlands.
L F de Geus-OeiDepartment of Radiology, Leiden University Medical Center, Leiden, Netherlands.
C H SlumpDepartment of Robotics and Mechatronics, University of Twente, Enschede, Netherlands.
M C BurgmansDepartment of Radiology, Leiden University Medical Center, Leiden, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAfter radiofrequency ablation (RFA) of hepatocellular carcinoma (HCC), pre- and postinterventional contrast-enhanced CT (CECT) images are usually qualitatively interpreted to determine technical success, by eyeballing. The objective of this study was to evaluate the feasibility of quantitative assessment, using a nonrigid CT-CT coregistration algorithm. MATERIALS AND

methods25 patients treated with RFA for HCC between 2009 and 2014 were retrospectively included. Semiautomated coregistration of pre- and posttreatment CECT was performed independently by two radiologists. In scans with a reliable registration, the tumor and ablation area were delineated to identify the side and size of narrowest RFA margin. In addition, qualitative assessment was performed independently by two other radiologists to determine technical success and the anatomical side and size of narrowest margin. Interobserver agreement rates were determined for both methods, and the outcomes were compared with occurrence of local tumor progression (LTP).

resultsCT-CT coregistration was technically feasible in 18/25 patients with almost perfect interobserver agreement for quantitative analysis (

conclusionFeasibility of quantitative RFA margin assessment using nonrigid coregistration of pre- and postablation CT is limited, but appears to be a valuable tool in predicting LTP in HCC patients (

Identifiers

PMID31641353
PMCPMC6770329

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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.