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

Optimization Problems in Radiotherapy for Hypoxic Tumors

von Alexei V. Chvetsov

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Beschreibung

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.


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.


Highlights mathematical analysis and dose optimization in radiotherapy for heterogeneous hypoxic tumors Presents approaches & concepts of tumor control probability, equivalent uniform dose & radiotherapy dose optimization Includes the comparison of models with measured and clinical data

Autor*in

Alexei V. Chvetsov

Themen in »Optimization Problems in Radiotherapy for Hypoxic Tumors«

Hypoxia Cancer resistance Biomarkers Oxygen Enhancement Ratio (OER) Radiation Dose 3D imaging PET images Tumor Control Probability (TCP) Tumor Models Lethally Damaged Cells Glioblastoma Hypofractionated Radiotherapy Equivalent Uniform Aerobic Dose (EUAD) Inverse Treatment Planning

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Details

ISBN: 9789819670017
Verlag: Springer Singapore
Erscheinung: 24.06.2025

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