临床计划评估的放射生物学模型研究进展-《中国医学物理学杂志》

文章信息/Info

作者:: 曹婷婷1; 2; 代智涛2; 李妩舟2; 张俊1; 全红2; 刘晖1; 陈纪1; 1.武汉大学中南医院放疗科，湖北武汉430071；2. 武汉大学物理科学与技术学院，湖北武汉430072

Author(s):: CAO Tingting1; 2; DAI Zhitao2; LIWuzhou2; ZHANG Jun1; QUAN Hong2; LIU Hui1; CHEN Ji1; 1. Department of Radiation Oncology, Zhongnan Hospital, Wuhan University, Wuhan 430071, China; 2. School of Physics and Technology,Wuhan University,Wuhan 430072, China

Keywords:: Keywords: radiobiological model; plan evaluation; tumor control rate; normal tissue complication; secondary cancer risk

摘要:: 放射治疗计划评估方式主要是基于体积剂量，未能反映肿瘤以及正常组织接受剂量后的生物学效应，将生物学模型应用到放疗计划评估中进一步反映其生物学效应和临床效果。本研究主要对细胞存活率模型、肿瘤控制率模型、正常组织并发症模型以及次级肿瘤风险预测模型等不同生物学模型的发展进行简要概括。对于细胞存活模型简述其典型模型线性二次模型，以及针对高剂量、高剂量率以及损伤修复等提出的其他修正模型。在肿瘤控制率以及正常组织并发症模型简述基于泊松函数和逻辑关系的不同泊松模型、逻辑模型。对于次级肿瘤风险预测模型主要对基于线性二次模型以及考虑细胞增殖等不同的预测模型发展进行简要概括。

Abstract:: Abstract: The radiotherapy plan evaluation which is mainly based on dose-volume histogram fails to reflect the biological effects of tumor and normal tissues after receiving dose. In recent years, biological model has been applied to radiotherapy plan evaluation for further reflecting its biological effects and clinical effects. Herein the development of different biological models such as cell survival model, tumor control probability model, normal tissue complication probability model and secondary cancer risk prediction model are briefly summarized. The linear-quadratic model of cell survival model is described, and other modified models are proposed for high dose, high dose rate and damage repair. For tumor control probability model and normal tissue complication probability model, different Poisson models and logical models based on Poisson function and logical relationship were introduced. For secondary cancer risk prediction model, the development of different prediction models based on linearquadratic model and the models considering cell proliferation are summarized briefly.