A Novel Analytical Population Tumor Control Probability Model Includes Cell Density and Volume Variations: Application to Canine Brain Tumor

Journal Article · Sun Aug 15 04:00:00 EDT 2021 · International Journal of Radiation Oncology, Biology and Physics

DOI:https://doi.org/10.1016/J.IJROBP.2021.03.021· OSTI ID:23201013

Radonic, Stephan ^[1]; Besserer, Jürgen ^[2]; Meier, Valeria ^[1]; Bley, Carla Rohrer; Schneider, Uwe ^[2]

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1. Division of Radiation Oncology, Small Animal Department, Vetsuisse Faculty, University of Zurich, Zurich (Switzerland)
2. Radiotherapy Hirslanden, Rain 32, Aarau (Switzerland)

Tumor control probability (TCP) models based on Poisson statistics characterize the distribution of surviving clonogens. Thus enabling the calculation of TCP for individuals. To mathematically describe clinically observed survival data of patient cohorts it is necessary to extend the Poisson TCP model. This is typically done by either incorporating variations of model parameters or by using an empirical logistic model. The purpose of this work is the development of an analytical population TCP model by mechanistic extension of the Possion model.

• OSTI ID: 23201013
• Journal Information: International Journal of Radiation Oncology, Biology and Physics, Journal Name: International Journal of Radiation Oncology, Biology and Physics Journal Issue: 5 Vol. 110; ISSN IOBPD3; ISSN 0360-3016
• Country of Publication: United States
• Language: English

Related Subjects

62 RADIOLOGY AND NUCLEAR MEDICINE
BRAIN
DOGS
NEOPLASMS
PATIENTS
PROBABILITY
STATISTICS