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Optimization problems in radiotherapy for hypoxic tumors

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimization problems in radiotherapy for hypoxic tumorsby Alexei V. Chvetsov.
Author:	Chvetsov, Alexei V.
Published:	Singapore :Springer Nature Singapore :2025.
Description:	xiv, 139 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	CancerRadiotherapy
Online resource:	https://doi.org/10.1007/978-981-96-7001-7
ISBN:	9789819670017$q(electronic bk.)

Optimization problems in radiotherapy for hypoxic tumors
Chvetsov, Alexei V.

Optimization problems in radiotherapy for hypoxic tumors[electronic resource] /by Alexei V. Chvetsov. - Singapore :Springer Nature Singapore :2025. - xiv, 139 p. :ill., digital ;24 cm. - Biological and medical physics, biomedical engineering,2197-5647. - Biological and medical physics, biomedical engineering..

Introduction -- Tumor Models for Optimization of Radiotherapy Response -- Dose-Volume Effects in Tumor Control Probability -- Equivalent Uniform Aerobic Dose -- Dose Nonuniformity Effectiveness in Hypoxic Tumors -- Stability of Inverse Planning with Different Objective Functions.

This book highlights the mathematical aspects of treatment outcomes analysis and dose optimization in radiotherapy for heterogeneous hypoxic tumors. Hypoxia is a major factor of cancer resistance to radiotherapy treatment and is present in most tumors encountered in humans. The author tried to present a systematic consideration of radiotherapy for hypoxic tumors, but the emphasis was put on mathematical content of the problems. The book contains new approaches to the concepts of tumor control probability, equivalent uniform dose and radiotherapy dose optimization for hypoxic tumors developed by the author. Significant attention in this book is paid to comparison of models with measured and clinical data; therefore, the reduction of model parameters to overcome overfitting (model parsimony) was followed as much as possible.

ISBN: 9789819670017$q(electronic bk.)

Standard No.: 10.1007/978-981-96-7001-7doiSubjects--Topical Terms:

997119
Cancer
--Radiotherapy

LC Class. No.: RC271.R3 / C48 2025

Dewey Class. No.: 616.9940642

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520 $a This book highlights the mathematical aspects of treatment outcomes analysis and dose optimization in radiotherapy for heterogeneous hypoxic tumors. Hypoxia is a major factor of cancer resistance to radiotherapy treatment and is present in most tumors encountered in humans. The author tried to present a systematic consideration of radiotherapy for hypoxic tumors, but the emphasis was put on mathematical content of the problems. The book contains new approaches to the concepts of tumor control probability, equivalent uniform dose and radiotherapy dose optimization for hypoxic tumors developed by the author. Significant attention in this book is paid to comparison of models with measured and clinical data; therefore, the reduction of model parameters to overcome overfitting (model parsimony) was followed as much as possible.
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