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

Practical considerations in using calculated healthy-tissue complication probabilities for treatment-plan

M Zaider1, H I Amols

  • 1Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY 10021, USA.

International Journal of Radiation Oncology, Biology, Physics
|April 13, 2000
PubMed
Summary
This summary is machine-generated.

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

Quick, efficient and effective patient-specific intensity-modulated radiation therapy quality assurance using log file and electronic portal imaging device.

Journal of cancer research and therapeutics·2017
Same author

BrachyView, a novel in-body imaging system for HDR prostate brachytherapy: Experimental evaluation.

Medical physics·2015
Same author

Radiation dose enhancement at tissue-tungsten interfaces in HDR brachytherapy.

Physics in medicine and biology·2014
Same author

BrachyView, a novel inbody imaging system for HDR prostate brachytherapy: design and Monte Carlo feasibility study.

Medical physics·2013
Same author

BrachyView: proof-of-principle of a novel in-body gamma camera for low dose-rate prostate brachytherapy.

Medical physics·2013
Same author

Microdosemeter instrument (MIDN) for assessing risk in space.

Radiation protection dosimetry·2011
Same journal

Single Percussive Ventilation Breath-hold Imaging and Delivery in Lung Tumor Stereotactic Ablative Radiation Therapy: Initial Observations From a Prospective Clinical Trial.

International journal of radiation oncology, biology, physics·2026
Same journal

Proton beam therapy in nonmetastatic rhabdomyosarcoma: Outcome, prognostic factors and the effect of timing of radiation therapy.

International journal of radiation oncology, biology, physics·2026
Same journal

Hypofractionated Proton Reirradiation for Recurrent Glioblastoma: Clinical and Dosimetric Outcomes from a Large Single Institution Series.

International journal of radiation oncology, biology, physics·2026
Same journal

Gastrointestinal Motility-Induced Interplay in Pancreas Proton Therapy: Motion Simulation and Dosimetric Impact.

International journal of radiation oncology, biology, physics·2026
Same journal

Intra-fractional Voxel-wise Anatomical Motion Tracking Guided by Multimodal Respiratory Surrogates in Radiotherapy: Framework Development and Multi-Center Validation.

International journal of radiation oncology, biology, physics·2026
Same journal

A Gaussian-based planning approach for robust dose-escalated stereotactic body proton therapy.

International journal of radiation oncology, biology, physics·2026
See all related articles

Normal tissue complication probability (NTCP) predictions vary significantly based on the model used for extrapolation, especially for low doses or small tissue volumes. Careful model selection and treatment planning are crucial for accurate NTCP assessment in radiation therapy.

Area of Science:

  • Radiation oncology
  • Medical physics
  • Biostatistics

Background:

  • Radiation therapy often delivers non-uniform doses to healthy and cancerous tissues.
  • Accurate prediction of normal tissue complication probability (NTCP) is essential for optimizing treatment plans and minimizing side effects.
  • Existing clinical data for NTCP are primarily based on uniform dose irradiations.

Purpose of the Study:

  • To evaluate the sensitivity of NTCP predictions to different extrapolation models used for non-uniform dose distributions.
  • To assess the dependence of NTCP predictions on specific tissue types.
  • To understand the implications of model selection and dose non-uniformity for treatment-plan optimization.

Main Methods:

  • Employed two NTCP models: the Lyman model and a binomial equation.

Related Experiment Videos

  • Utilized the Kutcher and Burman volume-reduction scheme for dose distributions.
  • Calculated NTCP for seven organs under conditions of maximum dose non-uniformity.

    • Main Results:

    • Both models demonstrated good fit with existing NTCP data.
    • Significant discrepancies were observed in extrapolations for small tissue volumes and low NTCP values (<5%).
    • NTCP differences between models were substantial for organs with pronounced volume effects (lung, kidneys) and potentially consequential for organs with small volume effects (spinal cord, brain).

    Conclusions:

    • NTCP predictions are model-dependent when extrapolating to data-sparse regions (low NTCP, small volumes).
    • The degree of dose non-uniformity significantly influences NTCP calculations.
    • For treatment-plan optimization, it is advisable to align plans with the uniform dose conditions under which most clinical dose-volume data were acquired.