A DNA damage multiscale model for NTCP in proton and hadron therapy

Ramin Abolfath, Chris Peeler, Dragan Mirkovic, Radhe Mohan, David Grosshans

Research output: Contribution to journalArticle

Abstract

Purpose: To develop a first principle and multiscale model for normal tissue complication probability (NTCP) as a function of dose and LET for proton and in general for particle therapy with a goal of incorporating nanoscale radio-chemical to macroscale cell biological pathways, spanning from initial DNA damage to tissue late effects. Methods: The method is a combination of analytical and multiscale computational steps including (a) derivation of functional dependencies of NTCP on DNA-driven cell lethality in nanometer and mapping to dose and LET in millimeter, and (b) three-dimensional-surface fitting to Monte Carlo data set generated based on postradiation image change and gathered for a cohort of 14 pediatric patients treated by scanning beam of protons for ependymoma. We categorize voxel-based dose and LET associated with development of necrosis in NTCP. Result: Our model fits well the clinical data, generated for postradiation tissue toxicity and necrosis. The fitting procedure results in extraction of in vivo radio-biological α-β indices and their numerical values. Discussion and conclusion: The NTCP model, explored in this work, allows to correlate the tissue toxicities to DNA initial damage, cell lethality and the properties and qualities of radiation, dose, and LET.

Original languageEnglish (US)
JournalMedical physics
DOIs
StateAccepted/In press - Jan 1 2020

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Keywords

  • hadron therapy
  • machine learning
  • proton therapy
  • radio-biology
  • tissue toxicity

ASJC Scopus subject areas

  • Biophysics
  • Radiology Nuclear Medicine and imaging

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