ArticleScientific reports2021
Pennes' bioheat equation vs. porous media approach in computer modeling of radiofrequency tumor ablation.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 69 citations in OpenAlex.
- Spatial Porosity as a Diagnostic Predictor of Conductivity Collapse in Patient-Specific Radiofrequency Ablation of Liver Tumors.Diagnostics (Basel, Switzerland) · 2026Article
- Microwave Ablation Monitoring Using Thermoacoustic and Ultrasound Tomography.IEEE journal of microwaves · 2026Article
- Roadmap towards personalized approaches and safety considerations in non-ionizing radiation: from dosimetry to therapeutic and diagnostic applications.Physics in medicine and biology · 2026Review
- Implantable antenna for biomedical applications: electromagnetic, SAR, and thermal performance evaluation.Scientific reports · 2025Article
- Role of Computational Modelling in Enhancing Thermal Safety During Cardiac Ablation.Interdisciplinary cardiovascular and thoracic surgery · 2025Review
- In-silico study of lanthanide-based nanoparticles for dual-modal photoacoustic and MRI theranostics.Scientific reports · 2025Article
- Advances in screening hyperthermic nanomedicines in 3D tumor models.Nanoscale horizons · 2024Review
- Review
- Emprint Microwave Thermoablation System: Bridging Thermal Ablation Efficacy between Human Patients and Porcine Models through Mathematical Correlation.Bioengineering (Basel, Switzerland) · 2023Article
- A 3D Approach Using a Control Algorithm to Minimize the Effects on the Healthy Tissue in the Hyperthermia for Cancer Treatment.Entropy (Basel, Switzerland) · 2023Article
- Magnetothermal-based non-invasive focused magnetic stimulation for functional recovery in chronic stroke treatment.Scientific reports · 2023Article
- Effects of Pulsed Radiofrequency Source on Cardiac Ablation.Bioengineering (Basel, Switzerland) · 2023Article
- Computational Modeling of Microwave Tumor Ablation.Bioengineering (Basel, Switzerland) · 2022Review
- RapidET: a MEMS-based platform for label-free and rapid demarcation of tumors from normal breast biopsy tissues.Microsystems & nanoengineering · 2022Article
- Article
- A Computational Study on the Role of Parameters for Identification of Thyroid Nodules by Infrared Images (and Comparison with Real Data).Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The objective of this study was to compare three different heat transfer models for radiofrequency ablation of in vivo liver tissue using a cooled electrode and three different voltage levels. The comparison was between the simplest but less realistic Pennes' equation and two porous media-based models, i.e. the Local Thermal Non-Equilibrium (LTNE) equations and Local Thermal Equilibrium (LTE) equation, both modified to take into account two-phase water vaporization (tissue and blood). Different blood volume fractions in liver were considered and the blood velocity was modeled to simulate a vascular network. Governing equations with the appropriate boundary conditions were solved with Comsol Multiphysics finite-element code. The results in terms of coagulation transverse diameters and temperature distributions at the end of the application showed significant differences, especially between Pennes and the modified LTNE and LTE models. The new modified porous media-based models covered the ranges found in the few in vivo experimental studies in the literature and they were closer to the published results with similar in vivo protocol. The outcomes highlight the importance of considering the three models in the future in order to improve thermal ablation protocols and devices and adapt the model to different organs and patient profiles.
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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.