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2020 Fiscal Year Final Research Report

Evaluation of predictivity or Stochastic Linear Quadratic model (LQ model) to calculate tumor control probability of radiotherapy

Research Project

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Project/Area Number 17K10464
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Radiation science
Research InstitutionHokkaido University

Principal Investigator

Onimaru Rikiya  北海道大学, 医学研究院, 客員研究員 (80374461)

Project Period (FY) 2017-04-01 – 2021-03-31
KeywordsLQ model / 確率 / 放射線治療
Outline of Final Research Achievements

We developed random variable (RV) approach to calculate Tumor Control Probability (TCP) of inhomogeneous radiation dose distribution, using computer simulation to count surviving cells after radiotherapy using random variables.
Considering the variance of surviving probability, TCP is worse with increasing the variance of surviving probability. The effect is less when the surviving probability is changed in each irradiation. We also confirmed that RV approach is able to calculate TCP adequately if dose distribution of tumor is inhomogeneous.

Free Research Field

放射線治療

Academic Significance and Societal Importance of the Research Achievements

近年の放射線治療では強度変調放射線治療や定位放射線治療が普及している。従来の放射線治療では腫瘍内部の線量の違いは大きくなく、ほぼ均一に照射されていた。近年普及した強度変調放射線治療や定位放射線治療では腫瘍内部の線量は従来の放射線治療と比較して差が大きく、従来の放射線治療の効果予測法とは異なる効果予測法の開発が望まれていた。
本研究では放射線治療中の細胞生存率を変化させたり、線量分布が不均一であったりといった状況でも放射線治療後の腫瘍制御率を計算する手法を開発した。

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Published: 2022-01-27  

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