A framework for modeling radiation induced lymphopenia in radiotherapy. (March 2020)

• Record Type: Journal Article
• Authors: Jin, Jian-Yue; Mereniuk, Todd; Yalamanchali, Anirudh; Wang, Weili; Machtay, Mitchell; (Spring)Kong, Feng-Ming; Ellsworth, Susannah
• Is Part Of: Radiotherapy and oncology. Volume 144(2020)
• Page Start: 105
• Page End: 113
• Publication Date: 2020-03
• Subjects: Lymphopenia -- Immune system -- Immune organ at risk -- Radiosensitivity -- Radiation dose to the blood; Oncology -- Periodicals; Radiotherapy -- Periodicals; Tumors -- Periodicals; Medical Oncology -- Periodicals; Neoplasms -- radiotherapy -- Periodicals; Radiotherapy -- Periodicals; Radiothérapie -- Périodiques; Cancérologie -- Périodiques; Tumeurs -- Périodiques; Electronic journals; 616.9940642
• DOI: 10.1016/j.radonc.2019.11.014
• Languages: English
• ISSNs: 0167-8140

Abstract

Highlights: A 5-compartment immune OAR model with radiation dose to each compartment. Incorporate lymphocyte radiosensitivity into the model. First study to develop an immune OAR model that has a potential to guide personalized radiotherapy. Test the model in 51 patients. Potential to compare lymphocyte radiosensitivity in vivo and in vitro for each patient. Abstract: Introduction: Associations between radiation-induced lymphopenia (RIL) and survival have been extensively reported. However, the immune system is not considered as an organ-at-risk (OAR) in radiotherapy. This study aimed to develop the framework of an immune OAR model that may be utilized to predict and minimize RIL. Methods: A dynamic model was first developed for lymphocyte trafficking among 5 compartments of the immune system. Radiation dose to the circulating lymphocytes in each compartment was calculated based on the doses to fixed structures of each immune compartment and blood flow patterns. A RIL model was developed based on lymphocyte dynamics, lymphocyte radiosensitivity and reproductivity, and the dose to the lymphocytes. The model was tested in 51 patients by fitting it to weekly-measured absolute lymphocyte counts (ALC) for each patient, considering lymphocyte radiosensitivity and reproductivity as patient-dependent fitting parameters. Results: The fitting was almost perfect for 20 patients, with sum of square of errors (SSE) between measured and predicted ALCs < 0.5. It was acceptable for another 27 patients, with SSE = 0.5~4.0. Only 4 patients had SSE > 4.0. The fitting also provided a method of in vivo estimation of radiosensitivity (α) for each patient. The median α was 0.40 Gy −1 for the 51 patients, consistent with in vitro measured data of 0.41 Gy −1 in the literature. Conclusion: We have presented a framework of developing an immune OAR model that has the potential to predict and minimize RIL in radiotherapy.