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Related Experiment Video

Updated: Jan 19, 2026

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Normal tissue complication probability (NTCP) models for modern radiation therapy.

Giuseppe Palma1, Serena Monti1, Manuel Conson2

  • 1National Research Council, Institute of Biostructures and Bioimaging, Napoli, Italy.

Seminars in Oncology
|September 12, 2019
PubMed
Summary

Predicting normal tissue complication probability (NTCP) is crucial for personalized radiation therapy (RT). This review examines NTCP models for advanced RT techniques, including hypofractionated stereotactic body RT and ion beam therapy.

Keywords:
Hadron therapyHypofractionationImage-based outcomesNTCPRadiation-induced morbidityReirradiationSBRTVoxel-based analysis

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Area of Science:

  • Radiation oncology
  • Medical physics
  • Biostatistics

Background:

  • Normal tissue complication probability (NTCP) models are vital for predicting radiation-induced morbidities (RIM) in radiation therapy (RT).
  • Advanced RT techniques present new challenges for accurately estimating RIM.
  • Personalized treatment planning relies on robust NTCP models to optimize benefits and minimize risks.

Purpose of the Study:

  • To review NTCP models within the context of advanced radiation therapy techniques.
  • To critically examine issues related to hypofractionated stereotactic body RT and ion beam therapy.
  • To illustrate NTCP in reirradiation scenarios for malignancies.

Main Methods:

  • Schematic review of existing NTCP models.
  • Critical analysis of NTCP in hypofractionated stereotactic body RT and ion beam therapy.
  • Illustration of NTCP in reirradiation scenarios.

Main Results:

  • Modern RT techniques complicate NTCP prediction.
  • Specific challenges exist for hypofractionated stereotactic body RT and ion beam therapy.
  • NTCP considerations are important for reirradiation.

Conclusions:

  • A need exists for NTCP models adapted to advanced RT.
  • Further research into NTCP for hypofractionated RT, ion therapy, and reirradiation is warranted.
  • A novel phenomenological approach for RIM prediction is proposed.