Evidence map›Paper›PMID 37405153›Full record

ReviewEuropean journal of radiology open2023

Ablation margin quantification after thermal ablation of malignant liver tumors: How to optimize the procedure? A systematic review of the available evidence.

Pim Hendriks, Fleur Boel, Timo Tm Oosterveer, Alexander Broersen, Lioe-Fee de Geus-Oei, Jouke Dijkstra, Mark C Burgmans

Open access · goldAbstract readReview
In one paragraph

Review in European journal of radiology open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Estimation of tumor coverage after RF ablation of hepatocellular carcinoma using single 2D image slices.International journal of computer assisted radiology and surgery · 2025
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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

7 authors at 2 institutions in 1 country.

Pim HendriksDepartment of Radiology, Leiden University Medical Center, Leiden, the Netherlands.
Fleur BoelDepartment of Radiology, Leiden University Medical Center, Leiden, the Netherlands.
Timo Tm OosterveerDepartment of Radiology, Leiden University Medical Center, Leiden, the Netherlands.
Alexander BroersenLKEB Laboratory of Clinical and Experimental Imaging, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands.
Lioe-Fee de Geus-OeiDepartment of Radiology, Leiden University Medical Center, Leiden, the Netherlands.
Jouke DijkstraLKEB Laboratory of Clinical and Experimental Imaging, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands.
Mark C BurgmansDepartment of Radiology, Leiden University Medical Center, Leiden, the Netherlands.
Leiden University Medical Center · NLUniversity of Twente · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: To minimize the risk of local tumor progression after thermal ablation of liver malignancies, complete tumor ablation with sufficient ablation margins is a prerequisite. This has resulted in ablation margin quantification to become a rapidly evolving field. The aim of this systematic review is to give an overview of the available literature with respect to clinical studies and technical aspects potentially influencing the interpretation and evaluation of ablation margins. Methods: The Medline database was reviewed for studies on radiofrequency and microwave ablation of liver cancer, ablation margins, image processing and tissue shrinkage. Studies included in this systematic review were analyzed for qualitative and quantitative assessment methods of ablation margins, segmentation and co-registration methods, and the potential influence of tissue shrinkage occurring during thermal ablation. Results: 75 articles were included of which 58 were clinical studies. In most clinical studies the aimed minimal ablation margin (MAM) was ≥ 5 mm. In 10/31 studies, MAM quantification was performed in 3D rather than in three orthogonal image planes. Segmentations were performed either semi-automatically or manually. Rigid and non-rigid co-registration algorithms were used about as often. Tissue shrinkage rates ranged from 7% to 74%. Conclusions: There is a high variability in ablation margin quantification methods. Prospectively obtained data and a validated robust workflow are needed to better understand the clinical value. Interpretation of quantified ablation margins may be influenced by tissue shrinkage, as this may cause underestimation.

Indexed as

Ablation margin quantificationImage co-registrationMWARFAThermal ablationTissue shrinkage

Identifiers

PMID37405153
PMCPMC10316004
OpenAlexW4382463114

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.