Evidence map›Paper›PMID 36058995›Full record

ArticleCardiovascular and interventional radiology2022

Study Protocol COVER-ALL: Clinical Impact of a Volumetric Image Method for Confirming Tumour Coverage with Ablation on Patients with Malignant Liver Lesions.

Yuan-Mao Lin, Iwan Paolucci, Brian M Anderson, Caleb S O'Connor, Bastien Rigaud, Maria Briones-Dimayuga, Kyle A Jones, Kristy K Brock, Bryan M Fellman, Bruno C Odisio

Registry-linked trialOpen access · greenAbstract readClinical Trial Protocol
In one paragraph

Article in Cardiovascular and interventional radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04083378 (Clinical Impact of a Volumetric Image Method for Confirming Tumor Coverage With Ablation on Patients With Malignant Liver Lesions), which is not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.6field-weighted citation impact, top 9% 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.

NCT04083378 phase2active not recruitingnot on this map

Clinical Impact of a Volumetric Image Method for Confirming Tumor Coverage With Ablation on Patients With Malignant Liver Lesions (COVER-ALL)

TypeinterventionalSponsorM.D. Anderson Cancer CenterRan2020 to 2026Enrolled107ConditionsMalignant Liver NeoplasmArmsAblation Therapy, Image-Guided Therapy, Quality-of-Life Assessment, Questionnaire Administration
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 21 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Yuan-Mao LinDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Iwan PaolucciDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Brian M AndersonDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, TX, 77030, Houston, USA.
Caleb S O'ConnorDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, TX, 77030, Houston, USA.
Bastien RigaudDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, TX, 77030, Houston, USA.
Maria Briones-DimayugaDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Kyle A JonesDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, TX, 77030, Houston, USA.
Kristy K BrockDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, TX, 77030, Houston, USA.
Bryan M FellmanDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Bruno C OdisioDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA. bcodisio@mdanderson.org.ORCID http://orcid.org/0000-0002-1771-8233
The University of Texas MD Anderson Cancer Center · US

Funding

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
NCI NIH HHS R01 CA235564NIH HHS 1R01CA235564
6 · The paper itself

Abstract

purposeThis study aims to evaluate the intra-procedural use of a novel ablation confirmation (AC) method, consisting of biomechanical deformable image registration incorporating AI-based auto-segmentation, and its impact on tumor coverage by quantitative three-dimensional minimal ablative margin (MAM) CT-generated assessment. MATERIALS AND

methodsThis single-center, randomized, phase II, intent-to-treat trial is enrolling 100 subjects with primary and secondary liver tumors (≤ 3 tumors, 1-5 cm in diameter) undergoing microwave or radiofrequency ablation with a goal of achieving ≥ 5 mm MAM. For the experimental arm, the proposed novel AC method is utilized for ablation applicator(s) placement verification and MAM assessment. For the control arm, the same variables are assessed by visual inspection and anatomical landmarks-based quantitative measurements aided by co-registration of pre- and post-ablation contrast-enhanced CT images. The primary objective is to evaluate the impact of the proposed AC method on the MAM. Secondary objectives are 2-year LTP-free survival, complication rates, quality of life, liver function, other oncological outcomes, and impact of AC method on procedure workflow. DISCUSSION: The COVER-ALL trial will provide information on the role of a biomechanical deformable image registration-based ablation confirmation method incorporating AI-based auto-segmentation for improving MAM, which might translate in improvements of liver ablation efficacy.

conclusionThe COVER-ALL trial aims to provide information on the role of a novel intra-procedural AC method for improving MAM, which might translate in improvements of liver ablation efficacy.

trial registrationClinicalTrials.gov identifier: NCT04083378.

Indexed as

Ablation TechniquesCatheter AblationLiver NeoplasmsHumansQuality of LifeRandomized Controlled Trials as TopicTreatment OutcomeBiomechanical deformable image registrationLiver cancerLocal tumor progressionMinimal ablative marginThermal ablation

Identifiers

PMID36058995
PMCPMC9712233
OpenAlexW4294567965

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.