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Related Concept Videos

Decreased Body Temperature01:29

Decreased Body Temperature

874
A decreased body temperature can occur in patients with hypothermia and frostbite. Heat loss with extended cold exposure overpowers the body's ability to create heat, resulting in hypothermia. Core temperature readings help classify hypothermia. Mild hypothermia is temperatures between 32 °C (89.6 °F) and 35°C (95 °F) and is caused by impaired thermoregulation. Moderate hypothermia is temperatures between 28 C (82.4 °F) and 32 °C (89.6 °F) caused by...
874

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Related Experiment Video

Updated: Dec 11, 2025

Magnetic Resonance-Guided High Intensity Focused Ultrasound Generated Hyperthermia: A Feasible Treatment Method in a Murine Rhabdomyosarcoma Model
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Advanced patient-specific hyperthermia treatment planning.

Soraya Gavazzi1, Astrid L H M W van Lier1, Cornel Zachiu1

  • 1Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.

International Journal of Hyperthermia : the Official Journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group
|August 19, 2020
PubMed
Summary

Advanced hyperthermia treatment planning (HTP) improves tumor heating accuracy by incorporating patient-specific data and advanced modeling. This leads to more reliable and clinically feasible thermal therapy for better cancer treatment outcomes.

Keywords:
EPTHyperthermia treatment planningbiological modelingconvection modelingdielectric imagingdiscrete vasculaturethermal modeling

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Area of Science:

  • Medical Physics
  • Oncology
  • Biomedical Engineering

Background:

  • Clinical hyperthermia treatment planning (HTP) faces quantitative accuracy limitations due to tissue property uncertainties and modeling challenges.
  • Current HTP lacks direct links between predicted power/temperature distributions and actual treatment outcomes.
  • Reliability issues in HTP hinder optimal tumor heating during thermal therapy.

Purpose of the Study:

  • To review recent advancements in HTP aimed at improving quantitative accuracy and reliability.
  • To demonstrate an advanced HTP workflow integrating multiple novel techniques.
  • To enable clinically feasible and patient-specific hyperthermia treatment planning.

Main Methods:

  • Incorporation of patient-specific electrical tissue conductivity from MR measurements for accurate power deposition modeling.
  • Application of thermodynamic fluid modeling to account for convective heat transport in bodily fluids.
  • Inclusion of discrete vasculature trees in thermal models to represent blood vessel impact.
  • Development of computationally efficient optimization strategies using SAR and temperature distributions.
  • Integration of biological modeling to quantify hyperthermic radiosensitization effects.

Main Results:

  • Demonstrated an advanced HTP workflow integrating patient-specific conductivity, fluid dynamics, vasculature, and biological modeling.
  • Illustrated the workflow with a cervical cancer patient case study.
  • Optimized phase-amplitude settings for maximal tumor thermal dose while sparing normal tissues.

Conclusions:

  • Recent developments significantly enhance the accuracy and reliability of hyperthermia treatment planning.
  • The advanced HTP workflow provides a pathway for more precise, patient-specific thermal therapy.
  • This integrated approach promises improved clinical feasibility and treatment outcomes in oncology.