Optimizing Chemoradiotherapy to Target Metastatic Disease and Tumor Growth
| Autor: | Ehsan Salari, Kevin Leder, Yoichi Watanabe, Hamidreza Badri |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Drug Oncology medicine.medical_specialty Chemotherapy Schedule business.industry media_common.quotation_subject medicine.medical_treatment General Engineering medicine.disease Primary tumor Metastasis 03 medical and health sciences Regimen 030104 developmental biology 0302 clinical medicine 030220 oncology & carcinogenesis Internal medicine Cancer cell Medicine business Chemoradiotherapy media_common |
| Zdroj: | INFORMS Journal on Computing. 30:259-277 |
| ISSN: | 1526-5528 1091-9856 |
| DOI: | 10.1287/ijoc.2017.0778 |
| Popis: | The majority of cancer-related fatalities are due to metastatic disease. Chemotherapeutic agents are administered along with radiation in chemoradiotherapy (CRT) to control the primary tumor and systemic disease such as metastasis. This work introduces a mathematical model of CRT treatment scheduling to obtain optimal drug and radiation protocols with the objective of minimizing metastatic cancer cell populations at multiple potential sites while maintaining a desired level of control on the primary tumor. Dynamic programming framework is used to determine the optimal radiotherapy fractionation regimen and the drug administration schedule. We design efficient DP data structures and use structural properties of the optimal solution to reduce the complexity of the resulting DP algorithm. We derive closed-form expressions for optimal chemotherapy schedules in special cases. The results suggest that if there is only an additive and spatial cooperation between the chemotherapeutic drug and radiation with no in... |
| Databáze: | OpenAIRE |
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