National Research Council, Institute of Biostructures and Bioimaging, Napoli, Italy.
Department of Advanced Biomedical Sciences, Federico II University School of Medicine, Naples, Italy.
Semin Oncol. 2019 Jun;46(3):210-218. doi: 10.1053/j.seminoncol.2019.07.006. Epub 2019 Aug 13.
Mathematical models of normal tissue complication probability (NTCP) able to robustly predict radiation-induced morbidities (RIM) play an essential role in the identification of a personalized optimal plan, and represent the key to maximizing the benefits of technological advances in radiation therapy (RT). Most modern RT techniques pose, however, new challenges in estimating the risk of RIM. The aim of this report is to schematically review NTCP models in the framework of advanced radiation therapy techniques. Issues relevant to hypofractionated stereotactic body RT and ion beam therapy are critically reviewed. Reirradiation scenarios for new or recurrent malignances and NTCP are also illustrated. A new phenomenological approach to predict RIM is suggested.
能够稳健地预测放射性并发症概率(NTCP)的正常组织数学模型在识别个性化最佳方案方面发挥着重要作用,是最大化放射治疗(RT)技术进步收益的关键。然而,大多数现代 RT 技术在估计放射性并发症风险方面带来了新的挑战。本报告的目的是在先进的放射治疗技术框架内对 NTCP 模型进行纲要性回顾。对分割立体定向放射治疗和离子束治疗的相关问题进行了批判性回顾。还说明了新的或复发性恶性肿瘤和 NTCP 的再放射治疗情况。提出了一种新的预测放射性并发症的现象学方法。