Evidence map›Paper›PMID 40314585›Full record

ReviewRadiology. Imaging cancer2025

Quantitative Ablation Confirmation Methods in Percutaneous Thermal Ablation of Malignant Liver Tumors: Technical Insights, Clinical Evidence, and Future Outlook.

Iwan Paolucci, Jessica Albuquerque Marques Silva, Yuan-Mao Lin, Alexander Shieh, Anna Maria Ierardi, Gianpaolo Caraffiello, Carlo Gazzera, Kyle A Jones, Paolo Fonio, Reto Bale and 3 more

Abstract readReview
In one paragraph

Review in Radiology. Imaging cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
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  10. 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

13 authors.

Iwan PaolucciDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Unit 1471, Houston, TX 77030.ORCID 0000-0002-9393-3015
Jessica Albuquerque Marques SilvaDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Unit 1471, Houston, TX 77030.ORCID 0000-0003-0616-982X
Yuan-Mao LinDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Unit 1471, Houston, TX 77030.ORCID 0000-0002-0275-9593
Alexander ShiehDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Unit 1471, Houston, TX 77030.ORCID 0009-0005-7450-2702
Anna Maria IerardiDiagnostic and Interventional Radiology Department, IRCCS Cà Granda Fondazione Ospedale Maggiore Policlinico, Università degli Studi di Milano, Milan, Italy.ORCID 0000-0002-4160-8018
Gianpaolo CaraffielloDiagnostic and Interventional Radiology Department, IRCCS Cà Granda Fondazione Ospedale Maggiore Policlinico, Università degli Studi di Milano, Milan, Italy.
Carlo GazzeraInterventional Radiology Unit, Department of Diagnostic Imaging and Interventional Radiology, Città della Salute e della Scienza, Turin, Italy.
Kyle A JonesDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Tex.ORCID 0000-0001-8245-8573
Paolo FonioDepartment of Surgical sciences, University of Torino, Turin, Italy.
Reto BaleDepartment of Radiology, Interventional Oncology/Stereotaxy and Robotics, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0003-0021-5792
Kristy K BrockDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Tex.ORCID 0000-0001-9364-5040
Marco Calandri *Department of Surgical sciences, University of Torino, Turin, Italy.ORCID 0000-0002-0297-0700
Bruno C Odisio *Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Unit 1471, Houston, TX 77030.ORCID 0000-0002-1771-8233

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
Optimization and Evaluation of Anatomical Models of Liver Radiation ResponseR01CA221971 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BROCK, KRISTY · 2018 to 2022
$1.8M
Anatomical Modeling to Improve the Precision of Image Guided Liver AblationR01CA235564 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BROCK, KRISTY, ODISIO, BRUNO C · 2019 to 2023
$1.7M
Image Guided Cancer Therapy Training ProgramT32CA261856 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Kristy Brock, Clifton David Fuller · 2022 to 2026
$1.2M
NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA221971NCI NIH HHS R01 CA235564NCI NIH HHS T32 CA261856
6 · The paper itself

Abstract

Percutaneous image-guided thermal ablation is an established local curative-intent treatment technique for the treatment of primary and secondary malignant liver tumors. Whereas margin assessment after surgical resection can be accomplished with microscopic examination of the resected specimen, margin assessment after percutaneous thermal ablation relies on cross-sectional imaging. The critical measure of technical success is the minimal ablative margin (MAM), defined as the minimum distance between the tumor and the edge of the ablation zone. Traditionally, the MAM has been assessed qualitatively using anatomic landmarks, which has suboptimal accuracy and reproducibility and is prone to operator bias. Consequently, specialized software-based methods have been developed to standardize and automate MAM quantification. In this review, the authors discuss the technical components of such methods, including image acquisition, segmentation, registration, and MAM computation, define the sources of measurement error, describe available software solutions in terms of image processing techniques and modes of integration, and outline the current clinical evidence, which strongly supports the use of such dedicated software. Finally, the authors discuss current logistical and financial barriers to widespread use of ablation confirmation methods as well as potential solutions.

Indexed as

Ablation TechniquesCatheter AblationLiver NeoplasmsSurgery, Computer-AssistedHumansMargins of ExcisionReproducibility of ResultsSoftwareTomography, X-Ray ComputedAblation TechniquesCTImage PostprocessingLiver

Identifiers

PMID40314585
PMCPMC12130695

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.