Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Complete genome sequence of <i>Bacillus thuringiensis</i> strain B-T-3 isolated from Qingdao, China, highly toxic against <i>Plutella xylostella</i> (Lepidoptera: Plutellidae).

Microbiology resource announcements·2026
Same author

Prognostic prediction model for rectal cancer based on CMS subtype indicators and SHAP-based interpretable analysis.

Abdominal radiology (New York)·2026
Same author

A retrospective study on post-traumatic stress disorder in fathers of preterm infants in the NICU and the effectiveness of kangaroo care intervention.

Frontiers in psychiatry·2026
Same author

Baculovirus manipulation of nutrient-based host choice via an infection responsive olfactory receptor in Spodoptera exigua.

Pesticide biochemistry and physiology·2026
Same author

Carbocyclization-oximation of alkenes <i>via</i> boryl radical-mediated halogen atom transfer to access fluorinated 4-(carbaldehyde oxime)quinolinones.

Chemical communications (Cambridge, England)·2026
Same author

Hepatocyte-Derived S100A4/A6/A10/A11 Proteins Promote Liver Fibrosis by Direct and Indirect Activation of HSCs.

Inflammation·2026

Related Experiment Video

Updated: Jan 12, 2026

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics
10:23

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics

Published on: December 1, 2023

939

Simulation and optimization in Tumor-Treating Fields therapy: Modeling approaches and electrode positioning.

Changyou Li1, Yingxue Zhang1, Jianmin Zheng2

  • 1Department of Electronic Engineering, Northwestern Polytechnical University, Xi'an, China.

Computer Methods and Programs in Biomedicine
|November 7, 2025
PubMed
Summary

Optimizing electrode placement using the complete electrode model for Tumor-Treating Fields (TTFields) simulation significantly enhances treatment efficacy by over 31%. Personalized electrode positioning improves patient outcomes in cancer therapy.

Keywords:
Contact impedanceElectrode positioningPersonalized simulationTheoretical modelsTumor-Treating fields

More Related Videos

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

9.3K
Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
08:34

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

20.9K

Related Experiment Videos

Last Updated: Jan 12, 2026

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics
10:23

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics

Published on: December 1, 2023

939
Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

9.3K
Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
08:34

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

20.9K

Area of Science:

  • Biomedical Engineering
  • Computational Electromagnetics
  • Oncology

Background:

  • Accurate simulation of Tumor-Treating Fields (TTFields) is crucial for personalized cancer therapy.
  • Patient-specific tumor location and head anatomy influence electric field distribution.
  • Optimizing electrode positions is key to enhancing TTFields efficacy.

Purpose of the Study:

  • To compare theoretical models for TTFields simulation.
  • To introduce a novel method for electrode placement on a human model.
  • To optimize electrode positions for improved treatment efficacy.

Main Methods:

  • Finite element solution for complete electrode, gap, and complex permittivity models.
  • Application of the complete electrode model for TTFields simulation.
  • Optimization of electrode positions for enhanced treatment.

Main Results:

  • The complete electrode model provides more accurate TTFields simulation compared to gap and complex permittivity models.
  • Contact impedance effects were analyzed using the complete electrode model.
  • Optimized electrode positions increased treatment efficacy by over 31%.

Conclusions:

  • The complete electrode model offers superior accuracy for TTFields simulation.
  • The gap model is a viable approximation with easier implementation.
  • Personalized electrode placement based on patient anatomy significantly improves TTFields efficacy.