ArticleThe Journal of membrane biology2013
Planning of electroporation-based treatments using Web-based treatment-planning software.
Article in The Journal of membrane biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Reversible electroporation for cancer therapy.The British journal of radiology · 2025Review
- PIRET-A Platform for Treatment Planning in Electroporation-Based Therapies.IEEE transactions on bio-medical engineering · 2023Article
- Review
- EView: An electric field visualization web platform for electroporation-based therapies.Computer methods and programs in biomedicine · 2020Article
- Real-Time Impedance Monitoring During Electroporation Processes in Vegetal Tissue Using a High-Performance Generator.Sensors (Basel, Switzerland) · 2020Article
- Gene transfer to plants by electroporation: methods and applications.Molecular biology reports · 2020Review
- A statistical model describing combined irreversible electroporation and electroporation-induced blood-brain barrier disruption.Radiology and oncology · 2016Article
- Effect of blood vessel segmentation on the outcome of electroporation-based treatments of liver tumors.PloS one · 2015Article
- Electrochemotherapy of colorectal liver metastases--an observational study of its effects on the electrocardiogram.Biomedical engineering online · 2015Observational
- Web-based tool for visualization of electric field distribution in deep-seated body structures and planning of electroporation-based treatments.Biomedical engineering online · 2015Article
- Modeling the positioning of single needle electrodes for the treatment of breast cancer in a clinical case.Biomedical engineering online · 2015Article
- Modulation of activity of known cytotoxic ruthenium(III) compound (KP418) with hampered transmembrane transport in electrochemotherapy in vitro and in vivo.The Journal of membrane biology · 2014Article
- Segmentation of hepatic vessels from MRI images for planning of electroporation-based treatments in the liver.Radiology and oncology · 2014Article
- Electrochemotherapy: from the drawing board into medical practice.Biomedical engineering online · 2014Review
- Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electroporation-based treatment combining high-voltage electric pulses and poorly permanent cytotoxic drugs, i.e., electrochemotherapy (ECT), is currently used for treating superficial tumor nodules by following standard operating procedures. Besides ECT, another electroporation-based treatment, nonthermal irreversible electroporation (N-TIRE), is also efficient at ablating deep-seated tumors. To perform ECT or N-TIRE of deep-seated tumors, following standard operating procedures is not sufficient and patient-specific treatment planning is required for successful treatment. Treatment planning is required because of the use of individual long-needle electrodes and the diverse shape, size and location of deep-seated tumors. Many institutions that already perform ECT of superficial metastases could benefit from treatment-planning software that would enable the preparation of patient-specific treatment plans. To this end, we have developed a Web-based treatment-planning software for planning electroporation-based treatments that does not require prior engineering knowledge from the user (e.g., the clinician). The software includes algorithms for automatic tissue segmentation and, after segmentation, generation of a 3D model of the tissue. The procedure allows the user to define how the electrodes will be inserted. Finally, electric field distribution is computed, the position of electrodes and the voltage to be applied are optimized using the 3D model and a downloadable treatment plan is made available to the user.
Indexed as
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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.