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Kinetic modeling of tumor growth and dissemination in the craniospinal axis: implications for craniospinal irradiation

Overview of attention for article published in Radiation Oncology, December 2006
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Title
Kinetic modeling of tumor growth and dissemination in the craniospinal axis: implications for craniospinal irradiation
Published in
Radiation Oncology, December 2006
DOI 10.1186/1748-717x-1-48
Pubmed ID
Authors

Jeffrey J Meyer, Lawrence B Marks, Edward C Halperin, John P Kirkpatrick

Abstract

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. 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. 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 analyses serve as an estimate of likelihood of cure as a function of these and other factors. The model accurately describes known clinical outcomes for patients with medulloblastoma. It can help guide treatment decisions for radiation oncologists treating patients with this disease. Incorporation of other treatment modalities, such as chemotherapy, that enhance radiation sensitivity and/or reduce tumor burden, are predicted to significantly increase the probability of cure.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 18%
Other 1 9%
Student > Bachelor 1 9%
Professor 1 9%
Student > Ph. D. Student 1 9%
Other 2 18%
Unknown 3 27%
Readers by discipline Count As %
Medicine and Dentistry 3 27%
Physics and Astronomy 3 27%
Biochemistry, Genetics and Molecular Biology 1 9%
Agricultural and Biological Sciences 1 9%
Unknown 3 27%