ArticleCardiovascular and interventional radiology2020
Validation of a Web-Based Planning Tool for Percutaneous Cryoablation of Renal Tumors.
Article in Cardiovascular and interventional radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
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Who cites it
8 citing papers in PubMed.
- Image-Guided Adaptive Cryotherapy for Prostate Cancer Treatment.Annals of biomedical engineering · 2025Article
- Iceball growth 3D simulation model based on finite element method for hepatic cryoablation planning.BMC gastroenterology · 2025Article
- First validation of a model-based hepatic percutaneous microwave ablation planning on a clinical dataset.Scientific reports · 2023Article
- AI-Based Isotherm Prediction for Focal Cryoablation of Prostate Cancer.Academic radiology · 2023Article
- Model-based hepatic percutaneous microwaveablation planning. First validation on a clinical dataset.Research square · 2023Article
- Intraoperative MRI-derived volumetric ablation margins and initial correlation with local outcome after MRI-guided cryoablation of renal tumors.Cancer imaging : the official publication of the International Cancer Imaging Society · 2023Article
- Microwave ablation of lung tumors: A probabilistic approach for simulation-based treatment planning.Medical physics · 2021Article
- Hybrid Simulation and Planning Platform for Cryosurgery with Microsoft HoloLens.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
purposeTo validate a simulation environment for virtual planning of percutaneous cryoablation of renal tumors. MATERIALS AND
methodsProspectively collected data from 19 MR-guided procedures were used for validation of the simulation model. Volumetric overlap of the simulated ablation zone volume (Σ) and the segmented ablation zone volume (S; assessed on 1-month follow-up scan) was quantified. Validation metrics were DICE Similarity Coefficient (DSC; the ratio between twice the overlapping volume of both ablation zones divided by the sum of both ablation zone volumes), target overlap (the ratio between the overlapping volume of both ablation zones to the volume of S; low ratio means S is underestimated), and positive predictive value (the ratio between the overlapping volume of both ablation zones to the volume of Σ; low ratio means S is overestimated). Values were between 0 (no alignment) and 1 (perfect alignment), a value > 0.7 is considered good.
resultsMean volumes of S and Σ were 14.8 cm
conclusionThe validation results showed a tendency of the simulation model to overestimate the ablation effect. Model adjustments are necessary to make it suitable for clinical use.
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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.