Optimal Fractionation in Radiotherapy - Archis Ghate

Optimal Fractionation in Radiotherapy

(Autor)

Buch | Hardcover
169 Seiten
2023
Cambridge University Press (Verlag)
978-1-009-34113-4 (ISBN)
129,95 inkl. MwSt
This monograph is a comprehensive reference on rigorous mathematical solutions to a central challenge of radiotherapy: how to maximize tumor-kill while protecting nearby healthy tissue from toxic effects. These solutions may guide treatment planners in deciding the number of sessions and doses administered via each available radiation modality.
This monograph provides a mathematically rigorous overview of optimal fractionation in cancer radiotherapy, which seeks to address the fundamental tradeoff of maximizing tumor-kill while protecting nearby healthy tissue from toxic effects. Most mathematical research on exact solutions to this problem is scattered across journals in applied mathematics, operations research, radiobiology, medicine, and medical physics. These works rarely include rigorous proofs or detailed derivations of their methodologies. Moreover, computer programs utilized for conducting numerical experiments seldom accompany these publications, thereby jeopardizing reproducibility. This monograph aims to provide a comprehensive pedagogical reference that brings researchers up to speed on optimal fractionation, utilizing and illustrating analytical techniques from linear algebra, calculus, linear programming, quadratic and nonlinear programming, robust optimization, and inverse optimization. Its purpose is to help readers understand the mathematics behind the optimal fractionation problem, empowering them to contribute original work to this field.

Archis Ghate is a Professor of Industrial & Systems Engineering at the University of Washington, where he previously served for five years as the College of Engineering Endowed Professor of Healthcare Operations Research. His research focuses on optimization. He received a PhD in Industrial and Operations Engineering from the University of Michigan in 2006 and an M.S. in Management Science and Engineering from Stanford University in 2003.

Preface; 1. Introduction; 2. Fractionation with a single organ-at-risk; 3. Fractionation with multiple organs-at-risk; 4. Robust fractionation; 5. Inverse fractionation; 6. Spatiotemporally integrated fractionation; 7. Robust spatiotemporally integrated fractionation; 8. Fractionation with two modalities; 9. Robust fractionation with two modalities; 10. Directions for future work ; Appendix Background on optimization; Bibliography Index.

Erscheinungsdatum
Zusatzinfo Worked examples or Exercises; 35 Line drawings, black and white
Verlagsort Cambridge
Sprache englisch
Gewicht 391 g
Themenwelt Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
Medizin / Pharmazie Medizinische Fachgebiete Onkologie
Naturwissenschaften Physik / Astronomie Angewandte Physik
ISBN-10 1-009-34113-8 / 1009341138
ISBN-13 978-1-009-34113-4 / 9781009341134
Zustand Neuware
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