Evidence map›Paper›PMID 32002642›Full record

ArticleEuropean radiology2020

Minimal ablative margin (MAM) assessment with image fusion: an independent predictor for local tumor progression in hepatocellular carcinoma after stereotactic radiofrequency ablation.

Gregor Laimer, Peter Schullian, Nikolai Jaschke, Daniel Putzer, Gernot Eberle, Amilcar Alzaga, Bruno Odisio, Reto Bale

Open access · hybridAbstract read
In one paragraph

Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 2 pooled it
10.1field-weighted citation impact, top 1% 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

59 citing papers in PubMed, 2 syntheses or guidelines pooled it, 120 citations in OpenAlex.

  1. Pooled it
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  3. 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

8 authors at 3 institutions in 3 countries.

Gregor LaimerDepartment of Radiology, Interventional Oncology-Microinvasive Therapy (SIP), Medical University Innsbruck, Anichstr. 35, 6020, Innsbruck, Austria.
Peter SchullianDepartment of Radiology, Interventional Oncology-Microinvasive Therapy (SIP), Medical University Innsbruck, Anichstr. 35, 6020, Innsbruck, Austria.
Nikolai JaschkeDepartment of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology and Metabolism, Medical University Innsbruck, Anichstr. 35, 6020, Innsbruck, Austria.
Daniel PutzerDepartment of Radiology, Interventional Oncology-Microinvasive Therapy (SIP), Medical University Innsbruck, Anichstr. 35, 6020, Innsbruck, Austria.
Gernot EberleDepartment of Radiology, Interventional Oncology-Microinvasive Therapy (SIP), Medical University Innsbruck, Anichstr. 35, 6020, Innsbruck, Austria.
Amilcar AlzagaSiemens Healthineers, Siemensstraße 3, 91301, Forchheim, Germany.
Bruno OdisioDivision of Diagnostic Imaging, Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Reto BaleDepartment of Radiology, Interventional Oncology-Microinvasive Therapy (SIP), Medical University Innsbruck, Anichstr. 35, 6020, Innsbruck, Austria. reto.bale@i-med.ac.at.ORCID http://orcid.org/0000-0003-0021-5792
Innsbruck Medical University · ATSiemens Healthineers (Germany) · DEThe University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the minimal ablative margin (MAM) by image fusion of intraprocedural pre- and post-ablation contrast-enhanced CT images and to evaluate if it can predict local tumor progression (LTP) independently. Furthermore, to determine a MAM with which a stereotactic radiofrequency ablation (SRFA) can be determined successful and therefore used as an intraprocedural tool to evaluate treatment success.

methodsA total of 110 patients (20 women, 90 men; mean age 63.7 ± 10.2) with 176 hepatocellular carcinomas were assessed by retrospective analysis of prospectively collected data. The MAM was determined through image fusion of intraprocedural pre- and post-ablation images using commercially available rigid imaging registration software. LTP was assessed in contrast-enhanced CTs or MR scans at 3-6-month intervals.

resultsThe MAM was the only significant independent predictor of LTP (p = 0.036). For each millimeter increase of the MAM, a 30% reduction of the relative risk for LTP was found (OR = 0.7, 95% CI 0.5-0.98, p = 0.036). No LTP was detected in lesions with a MAM > 5 mm. The overall LTP rate was 9 of 110 (8.2%) on a patient level and 10 of 173 (5.7%) on a lesion level. The median MAM was 3.4 (1.7-6.9) mm. The mean overall follow-up period was 26.0 ± 10.3 months.

conclusionsAn immediate assessment of the minimal ablative margin (MAM) can be used as an intraprocedural tool to evaluate the treatment success in patients treated with stereotactic RFA. A MAM > 5 mm has to be achieved to consider an ablation as successful. KEY POINTS: • An intraoperatively measured minimal ablative margin (MAM) > 5 mm correlates with complete remission. • MAM is the only significant independent predictor of LTP (OR = 0.7, 95% CI 0.5-0.98, p = 0.036) after stereotactic RFA of hepatocellular carcinoma. • Image fusion using commercially available rigid imaging registration software is possible, even though considerably complex. Therefore, improved (semi-)automatic fusion software is highly desirable.

Indexed as

AgedAged, 80 and overCarcinoma, HepatocellularCatheter AblationFemaleHumansImaging, Three-DimensionalLiver NeoplasmsMaleMargins of ExcisionMiddle AgedRetrospective StudiesTomography, X-Ray ComputedTreatment OutcomeAblation techniquesCarcinoma, hepatocellularRadiofrequency ablationTomography, X-ray computedTreatment outcome

Identifiers

PMID32002642
PMCPMC7160081
OpenAlexW3003514891

What OpenQuestion holds

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Registered trials

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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.