Optimization Problems in Radiotherapy for Hypoxic Tumors / by Alexei V. Chvetsov.

Format:

Book

Author/Creator:

V. Chvetsov, Alexei.

Series:

Biological and Medical Physics, Biomedical Engineering, 2197-5647

Language:

English

Subjects (All):

Medical physics.

Cancer--Treatment.

Cancer.

Imaging systems in biology.

Cancer--Imaging.

Medical Physics.

Cancer Therapy.

Biological Imaging.

Cancer Imaging.

Local Subjects:

Medical Physics.

Cancer Therapy.

Biological Imaging.

Cancer Imaging.

Physical Description:

1 online resource (159 pages)

Edition:

1st ed. 2025.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2025.

Summary:

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.

Contents:

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9789819670017

OCLC:

1525433286