[Host: Prof. Krishni Wijesooriya]
Lymphocytes are a key component of the adaptive immune system. The presence of high numbers of lymphocytes, especially T cells, has been reported to be an indicator of good prognosis in many types of cancer. However, lymphocytes are highly radiosensitive and Radiation-Induced Immune Suppression (RIIS) means destroying existing as well as newly created lymphocytes. In the era of immunotherapy, predicting time-dependent immune levels could allow optimum time for immunotherapy administration. In this talk, I will present a comprehensive model to predict time-dependent absolute lymphocyte count (ALC) in blood for early-stage lung cancer patients following Stereotactic Body Radiation Therapy (SBRT) treatment. This complex model includes blood circulation among blood-rich organs such as heart, aorta, vena cava, pulmonary artery, etc; intertwined with lymphatic circulation among lymph-rich organs such as spleen, bone marrow, lymph nodes, liver, lung, etc. The model was trained on a set of retrospective lung SBRT patients and tested on a set of ongoing clinical trial patients. The model shows good accuracy in both training and testing datasets, with room for improvement.
Nuclear Physics Seminar
Wednesday, April 26, 2023
Ridley, Room 179
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