| Description |
1 online resource : illustrations |
| Contents |
1. Introduction -- 2. The generation of quantitative radiobiology data -- 3. The intrinsic radiosensitivity of proliferating and quiescent cells -- 4. The effects of ionization volume and density -- 5. The importance of fraction size, dose-rate, temperature, and overall treatment time of exposure -- 6. Ionizing events, molecular targets, and lethal lesions -- 7. The radiosensitivity of tumor cells in vitro versus in vivo -- 8. Modern radiobiology and the LQ equation -- 9. Normal tissue radiobiology -- 10. Radiobiology applied to tumor response modeling |
| Summary |
Understand Quantitative Radiobiology from a Radiation Biophysics PerspectiveIn the field of radiobiology, the linear-quadratic (LQ) equation has become the standard for defining radiation-induced cell killing. Radiotherapy Treatment Planning: Linear-Quadratic Radiobiology describes tumor cell inactivation from a radiation physics perspective and offers appropriate LQ parameters for modeling tumor and normal tissue responses. Explore the Latest Cell Killing Numbers for Defining Iso-Effective Cancer TreatmentsThe book compiles radiation mechanism information from biophysical publications of the p |
| Bibliography |
Includes bibliographical references |
| Notes |
Vendor-supplied metadata |
| Subject |
Radiotherapy.
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Radiobiology.
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Linear models (Statistics)
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Radiotherapy
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Radiobiology
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HEALTH & FITNESS -- Diseases -- General.
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MEDICAL -- Clinical Medicine.
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MEDICAL -- Diseases.
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MEDICAL -- Evidence-Based Medicine.
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MEDICAL -- Internal Medicine.
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Linear models (Statistics)
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Radiobiology
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Radiotherapy
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| Form |
Electronic book
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| Author |
Nahum, Alan E., author
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| ISBN |
9781439862605 |
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1439862605 |
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