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.
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.
What it found
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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.
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.
Clinical Impact of a Volumetric Image Method for Confirming Tumor Coverage With Ablation on Patients With Malignant Liver Lesions (COVER-ALL)
Who cites it
17 citing papers in PubMed, 21 citations in OpenAlex.
- Quantifying Functional Liver Volume Loss after CT-guided Percutaneous Thermal Ablation: A COVER-ALL Trial Post Hoc Analysis.Radiology. Imaging cancer · 2026Trial
- Undertreated Volume and Tumor Morphology as Predictors of Outcome Following Thermal Ablation of 3-7-cm Hepatocellular Carcinoma.Journal of vascular and interventional radiology : JVIR · 2025Trial
- Estimation of tumor coverage after RF ablation of hepatocellular carcinoma using single 2D image slices.International journal of computer assisted radiology and surgery · 2025Trial
- Software-based versus visual assessment of the minimal ablative margin in patients with liver tumours undergoing percutaneous thermal ablation (COVER-ALL): a randomised phase 2 trial.The lancet. Gastroenterology & hepatology · 2025Trial
- Quantitative Ablation Confirmation Methods in Percutaneous Thermal Ablation of Malignant Liver Tumors: Technical Insights, Clinical Evidence, and Future Outlook.Radiology. Imaging cancer · 2025Review
- Validating the predictions of mathematical models describing tumor growth and treatment response.ArXiv · 2025Article
- Multicenter and inter-software evaluation of ablative margins after thermal ablation of colorectal liver metastases.European radiology · 2025Article
- Protecting organs-at-risk in cancer therapies through temporary organ displacement: a comprehensive review.Oncology reviews · 2025Review
- The Paradox of Modern Technology in Standardizing Thermal Liver Ablation: Fostering Uniformity or Diversity?Cardiovascular and interventional radiology · 2024Article
- Ablative margin quantification using deformable versus rigid image registration in colorectal liver metastasis thermal ablation: a retrospective single-center study.European radiology · 2024Article
- Identification of A0 minimum ablative margins for colorectal liver metastases: multicentre, retrospective study using deformable CT registration and artificial intelligence-based autosegmentation.The British journal of surgery · 2024Article
- Using Patient-Specific 3D Modeling and Simulations to Optimize Microwave Ablation Therapy for Liver Cancer.Cancers · 2024Article
- Artificial intelligence in interventional radiology: state of the art.European radiology experimental · 2024Review
- Study Protocol STEREOLAB: Stereotactic Liver Ablation Assisted with Intra-Arterial CT Hepatic Arteriography and Ablation Confirmation Software Assessment.Cardiovascular and interventional radiology · 2023Article
- Ablation margin quantification after thermal ablation of malignant liver tumors: How to optimize the procedure? A systematic review of the available evidence.European journal of radiology open · 2023Review
- Ablative Margins of Colorectal Liver Metastases Using Deformable CT Image Registration and Autosegmentation.Radiology · 2023Article
- Use of Contrast Media During CT-guided Thermal Ablation of Colorectal Liver Metastasis for Procedure Planning is Associated with Improved Immediate Outcomes.Cardiovascular and interventional radiology · 2023Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
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.
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Identifiers
What OpenQuestion holds
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.