Optimal Fractionation in Radiotherapy

Archis Ghate (University of Washington)

$198.95

Hardback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Cambridge University Press
19 October 2023

Radiotherapy; Linear programming; Medical physics; Programming & scripting languages: general

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.

By: Archis Ghate (University of Washington)
Imprint: Cambridge University Press
Country of Publication: United Kingdom
Weight: 391g
ISBN: 9781009341134
ISBN 10: 1009341138
Pages: 169
Publication Date: 19 October 2023
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

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.

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.

Reviews for Optimal Fractionation in Radiotherapy

'This book provides a wonderfully rigorous and comprehensive treatment of the mathematics behind fractionation in radiation therapy. It consolidates a significant body of work in a consistent manner, making it a go-to reference for the expert and beginner alike. The inclusion of robust optimization and inverse optimization in the context of fractionation provides considerable depth, reinforcing the value of interdisciplinary research.' Timothy Chan, University of Toronto 'This text provides a unifying mathematical framework for the fractionation decision in radiotherapy. It offers a rich blend of mathematical analysis, numerical examples, codes, exercises, and bibliographic notes for an in-depth understanding and implementation of the concepts discussed. The book presents a fresh perspective to the long-standing fractionation debate in the field of radiotherapy and can inspire the design of new clinical trials to improve treatment efficacy for cancer patients.' Ehsan Salari, Wichita State University