SU-E-T-461: Fractionation Schedule Optimization for Lung Cancer Treatments Using Radiobiological and Dose Distribution Characteristics

Medical Physics
H KellerM Davison

Abstract

Lung cancer radiotherapy treatments employ a wide variety of fractionation protocols. The choice among protocols mostly depends on the size of the target volume (GTV or ITV) and the volume of normal tissue receiving a critical dose. Rigorous mathematical criteria for normal tissue (NT) dose distributions were derived to determine the type of dose per fraction schedule that maximizes linear-quadratic tumor effect. Selecting the individual doses per fraction that maximize a linear-quadratic effect in the tumor while constraining the normal tissue complication probability according to the Lyman-Kutcher-Burman model leads to an optimization problem. For time-independent parameters, the solution is always an equal dose per fraction schedule; depending on parameter values, two different class solutions are suggested: minimal number of fractions clinically realized with hypo-fractionation, or minimizing dose per fraction clinically realized with standard- or hyper-fractionation. The value of a single scale-free "bifurcation" number, derived from the DVH of the NT dose distribution suggests which solution is preferred for a given plan with respect to a given normal tissue. The clinical relevance of the bifurcation number in selecting f...Continue Reading

Citations

Mar 8, 2018·Physics in Medicine and Biology·Ali AjdariMinsun Kim
Jan 13, 2018·Physics in Medicine and Biology·Ali Adibi, Ehsan Salari
Sep 8, 2018·Mathematical Medicine and Biology : a Journal of the IMA·Sevnaz NourollahiMinsun Kim
Dec 12, 2012·Physics in Medicine and Biology·Jan UnkelbachThomas Bortfeld
May 20, 2015·Mathematical Medicine and Biology : a Journal of the IMA·Fatemeh SaberianMinsun Kim

❮ Previous
Next ❯

Related Concepts

Related Feeds

Attention Disorders

Attention is involved in all cognitive activities, and attention disorders are reported in patients with various neurological diseases. Here are the latest discoveries pertaining to attention disorders.