Modeling tumor control probability for spatially inhomogeneous risk of failure based on clinical outcome data.

Abstract

PURPOSE Objectives of this work are (1) to derive a general clinically relevant approach to model tumor control probability (TCP) for spatially variable risk of failure and (2) to demonstrate its applicability by estimating TCP for patients planned for photon and proton irradiation. METHODS AND MATERIALS The approach divides the target volume into sub… (More)
DOI: 10.1016/j.zemedi.2017.06.003

Topics

Cite this paper

@article{Lhr2017ModelingTC, title={Modeling tumor control probability for spatially inhomogeneous risk of failure based on clinical outcome data.}, author={Armin L{\"u}hr and Steffen L{\"o}ck and Annika Jakobi and Kristin St{\"u}tzer and Anna Bandurska-Luque and Ivan Richter Vogelius and Wolfgang Enghardt and Michael Baumann and Mechthild Krause}, journal={Zeitschrift fur medizinische Physik}, year={2017}, volume={27 4}, pages={285-299} }