Evidence map›Paper›PMID 41105588›Full record

ArticleTechnology in cancer research & treatment

A Retrospective Comparison of CT Imaging and Computational Simulations of Irreversible Electroporation in the Liver.

Ali Jouni, Marco Baragona, Youssra Obeidi, Anca-Maria Iancu, Robert Malte Siepmann, Andreas Ritter

Abstract readComparative Study
In one paragraph

Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Pulsed field ablation: from concepts to technology.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026
    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

6 authors.

Ali JouniClinic for Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, Germany.ORCID 0009-0007-2294-6779
Marco BaragonaPhilips Research, Eindhoven, the Netherlands.ORCID 0000-0002-5347-4731
Youssra ObeidiClinic for Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, Germany.
Anca-Maria IancuClinic for Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, Germany.
Robert Malte SiepmannClinic for Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, Germany.
Andreas RitterClinic for Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, Germany.ORCID 0000-0001-7462-8632

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectivesIrreversible Electroporation (IRE) is both open surgery and minimally invasive cancer therapy used in the treatment of liver tumors. The therapy demands precision and accuracy to ensure complete tumor ablation. Reliable simulation tools can help achieve this goal by predicting the tissue regions that will reach the required electric field threshold and by suggesting correcting actions when the predicted outcome is inadequate. This article retrospectively compares segmented ablations from intra-procedural computed tomography (CT) scans with computer simulations to check their validity in predicting the operation outcome and the required electric field threshold.Methods10 patient ablation procedures were retrospectively analyzed using a detailed computational model of electroporation, informed by the patient-specific geometry of each case. CT scans were analyzed by three physicians over two sessions to assess intra- and inter-observer variability. Same day postoperative images were used for accuracy. The resulting measured ablations from the patient's data were compared to simulation predictions, both in terms of ablated volumes and 3D similarity scores (Dice coefficient).ResultsSimulated ablation volumes were computed across electric field thresholds (465-750 V/cm), showing highest volumes at 465 V/cm and lowest at 750 V/cm. Comparison with physician segmented volumes showed best match for 500-600 V/cm ablation threshold: this result was consistent across different patients despite differences among patient's conditions and characteristics. 3D analysis revealed Dice scores between 0.63 and 0.77 (mean: 0.71), indicating moderate to good agreement. Visual and statistical comparisons further validated the reliability of the simulation model within this threshold range.ConclusionThis study highlighted the accuracy of IRE ablation volume predictions by comparing retrospective CT based ablation volume segmentations with electric field simulations. The best match occurred at 500 to 600 V/cm thresholds, with post-procedure measurements. Despite observer variability and modeling limitations, Dice scores showed moderate to good agreement, validating the simulation model and emphasizing timely imaging for accuracy.

Indexed as

Computer SimulationElectroporationLiverLiver NeoplasmsTomography, X-Ray ComputedAblation TechniquesAgedFemaleHumansMaleMiddle AgedRetrospective StudiesTreatment Outcomecomputer aided designCT scanselectrodeselectroporationIREMRInano knife

Identifiers

PMID41105588
PMCPMC12541168

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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.