tailieunhanh - Báo cáo khoa học: " Kinetic modeling of tumor growth and dissemination in the craniospinal axis: implications for craniospinal irradiation"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Radiation Oncology cung cấp cho các bạn kiến thức về ngành y đề tài: " Kinetic modeling of tumor growth and dissemination in the craniospinal axis: implications for craniospinal irradiation. | Radiation Oncology BioMed Central Research Kinetic modeling of tumor growth and dissemination in the craniospinal axis implications for craniospinal irradiation Jeffrey J Meyer Lawrence B Marks Edward C Halperin and John P Kirkpatrick Open Access Address Department of Radiation Oncology Duke University Medical Center Durham NC 27710 USA Email Jeffrey J Meyer - meyer046@ Lawrence B Marks - marks005@ Edward C Halperin - halpe001@ John P Kirkpatrick - kirkp001@ Corresponding author Published 22 December 2006 Radiation Oncology 2006 1 48 doi 1748-717X-1-48 Received 12 September 2006 Accepted 22 December 2006 This article is available from http content 1 1 48 2006 Meyer et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract_ Background Medulloblastoma and other types of tumors that gain access to the cerebrospinal fluid can spread throughout the craniospinal axis. The purpose of this study was to devise a simple multi-compartment kinetic model using established tumor cell growth and treatment sensitivity parameters to model the complications of this spread as well as the impact of treatment with craniospinal radiotherapy. Methods A two-compartment mathematical model was constructed. Rate constants were derived from previously published work and the model used to predict outcomes for various clinical scenarios. Results The model is simple and with the use of known and estimated clinical parameters is consistent with known clinical outcomes. Treatment outcomes are critically dependent upon the duration of the treatment break and the radiosensitivity of the tumor. Cross-plot .