Evidence map›Paper›PMID 42397407›Full record

ArticleCardiovascular and interventional radiology2026

Precision of Ablation Margin Assessment After Liver Microwave Ablation: A Head-to-Head Comparison of Visual and Software-Assisted Methods.

Coline Morisot, Idriss Chami Khazraji, Vincent Habouzit, Nicolas Magand, Bertrand Le Roy, Ilies El Boukili, Claire Boutet, Sylvain Grange, Rémi Grange

Abstract readComparative Study
In one paragraph

Article in Cardiovascular and interventional radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Coline MorisotDepartment of Radiology, University Hospital of Saint-Etienne, Saint-Priest-en-Jarez, France.
Idriss Chami KhazrajiDepartment of Radiology, University Hospital of Saint-Etienne, Saint-Priest-en-Jarez, France.
Vincent HabouzitDepartment of Nuclear Medicine, University Hospital of Saint-Etienne, Saint-Priest-en-Jarez, France.
Nicolas MagandDepartment of Radiology, University Hospital of Saint-Etienne, Saint-Priest-en-Jarez, France.
Bertrand Le RoyDepartment of Oncologic and Digestive Surgery, University Hospital of Saint-Etienne, Saint-Priest-en-Jarez, France.
Ilies El BoukiliDepartment of Oncologic and Digestive Surgery, University Hospital of Saint-Etienne, Saint-Priest-en-Jarez, France.
Claire BoutetDepartment of Radiology, University Hospital of Saint-Etienne, Saint-Priest-en-Jarez, France.
Sylvain GrangeDepartment of Radiology, University Hospital of Saint-Etienne, Saint-Priest-en-Jarez, France.
Rémi GrangeDepartment of Radiology, University Hospital of Saint-Etienne, Saint-Priest-en-Jarez, France. remi.grange@chu-st-etienne.fr.ORCID http://orcid.org/0000-0002-7465-2955

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMinimal ablative margins (MAM) are critical for local tumour control after microwave ablation, yet their assessment remains subjective. We evaluated whether software improves the precision of ablation margin assessment after liver MWA. MATERIALS AND

methodsIn this retrospective study, patients undergoing CT-guided liver MWA between January 2019 and January 2025 were included. Two radiologists (with 4 and 5 years of experience in abdominal imaging) assessed MAM in two steps: first by side-by-side visual comparison of pre- and post-ablation CT using anatomical landmarks, then with dedicated software providing semi-automatic 3D co-registration and margin quantification. Each method included two reading sessions per reader, six weeks apart. Precision was assessed using intraclass correlation coefficients (ICC), Cohen's kappa (κ) for categorical classification (< 5, 5-10, > 10 mm), and Bland-Altman analysis.

resultsSixty-seven patients with 87 liver tumours were included. Visual assessment showed poor reliability, with low intrareader agreement (ICC 0.10 and 0.33) and near-random interreader agreement (κ =  - 0.10; ICC - 0.05), with limits of agreement approaching 17 mm. Software-assisted assessment improved reliability, with higher intrareader ICCs (0.54 and 0.83) and improved interreader agreement (κ = 0.38; ICC = 0.54). Interreader bias decreased from - 2.84 to + 0.91 mm, and limits of agreement narrowed to - 4.10 to + 5.92 mm (p < 0.001). The median absolute interreader difference decreased from 3.0 to 1.0 mm (p < 0.001).

conclusionSoftware-assisted assessment improves reliability of MAM evaluation compared with visual methods, but interreader agreement remains only fair-to-moderate; further validation is required before routine clinical adoption.

Indexed as

Liver NeoplasmsMargins of ExcisionMicrowavesRadiography, InterventionalSoftwareTomography, X-Ray ComputedAgedFemaleHumansMaleMiddle AgedReproducibility of ResultsRetrospective StudiesColorectal liver metastasesHepatocellular carcinomaLiverMicrowave ablationMinimal ablative marginReproducibility

Identifiers

PMID42397407
PMCPMC13642391

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