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 Experiment Videos

A normal tissue dose response model of dynamic repair processes.

Markus Alber1, Claus Belka

  • 1Universitätsklinikum Tübingen, Radioonkologische Uniklinik, Hoppe-Seyler-Strasse 3, D-72076 Tübingen, Germany. msalber@med.uni-tuebingen.de

Physics in Medicine and Biology
|December 17, 2005
PubMed
Summary

This study presents a new model for radiation-induced tissue damage, viewing complications as a failure in dynamic repair processes. The model offers a novel perspective on dose response and optimization for radiotherapy.

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

Prior knowledge based deep learning auto-segmentation in magnetic resonance imaging-guided radiotherapy of prostate cancer.

Physics and imaging in radiation oncology·2023
Same author

A Multicenter Evaluation of Different Chemotherapy Regimens in Older Adults With Head and Neck Squamous Cell Carcinoma Undergoing Definitive Chemoradiation.

International journal of radiation oncology, biology, physics·2023
Same author

Multitask Learning with Convolutional Neural Networks and Vision Transformers Can Improve Outcome Prediction for Head and Neck Cancer Patients.

Cancers·2023
Same author

Secondary Primary Cancer Risk After Radiation Therapy in Rectal Cancer: A Population-Based Cohort Study With Propensity Score Matching.

Clinical colorectal cancer·2023
Same author

Towards real-time EPID-based 3D in vivo dosimetry for IMRT with Deep Neural Networks: A feasibility study.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)·2023
Same author

Experimental comparison of linear regression and LSTM motion prediction models for MLC-tracking on an MRI-linac.

Medical physics·2023

Area of Science:

  • Medical Physics
  • Radiobiology
  • Biophysics

Background:

  • Radiation complications arise from complex cellular repair mechanisms.
  • Existing models may not fully capture the dynamic nature of tissue repair after irradiation.
  • Understanding these mechanisms is crucial for optimizing radiation therapy dose and fractionation.

Purpose of the Study:

  • To develop a generalized biophysical model for radiation-induced tissue complication.
  • To describe radiation complication as the failure of a dynamic repair process.
  • To provide a new framework for understanding dose-response relationships in irradiated tissues.

Main Methods:

  • A model based on critical element complication mechanisms for irradiated volumes.
  • Description of radiation complication as failure of a dynamic repair process involving tissue re-organization.

Related Experiment Videos

  • Application of principles from thermodynamics and statistical physics.
  • Derivation of an analytical dose-response function for various irradiation scenarios.
  • Main Results:

    • A three-parameter model for serial, critical element complication mechanisms.
    • The model defines repair capacity by finite-range cell interactions within reconstruction units.
    • Demonstrated utility with animal spinal cord and clinical data (heart, lung, rectum).

    Conclusions:

    • The model offers a new perspective on the equivalent uniform dose formalism.
    • It provides a generalized approach to serial and parallel complication models.
    • The findings have implications for improving dose optimization strategies in radiotherapy.