Radiation-Induced Lymphopenia: From Mathematical Modeling Towards Mechanistic Learning
Radiation-induced lymphopenia (RIL) is a critical adverse factor that worsens outcomes in patients undergoing radiotherapy. Numerous mechanistic models have been proposed to better understand RIL mechanisms or screen patients at risk. This scoping review presents a comprehensive overview of these models, ranging from basic dosimetry approaches to more advanced models that incorporate dose-response relationships, lymphocyte repopulation and homeostasis, and interactions with tumors. We then critically analyze the key components, assumptions, and available data underlying these models.
