Modelling radiotherapy side effects: practical applications for planning optimisation
The treatment of a patient with radiation therapy is planned to find the optimal way to treata tumour while minimizing the dose received by the surrounding normal tissues. In order to better exploit the possibilities of this process, the availability ofaccurate and quantitative knowledge of the pecu...
Gespeichert in:
Weitere Verfasser: | , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press, Taylor & Francis Group
2019
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Schriftenreihe: | Medical physics and biomedical engineering
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Schlagworte: | |
Zusammenfassung: | The treatment of a patient with radiation therapy is planned to find the optimal way to treata tumour while minimizing the dose received by the surrounding normal tissues. In order to better exploit the possibilities of this process, the availability ofaccurate and quantitative knowledge of the peculiar responses of the different tissues is of paramount importance.This book provides an invaluable tutorial for radiation oncologists, medical physicists, and dosimetrists involved in the planning optimization phase of treatment. It presents a practical, accessible, and comprehensive summary of the field’s current research and knowledge regarding the response of normal tissues to radiation. This is the first comprehensive attempt to do so since the publication of the QUANTEC guidelines in 2010. Features:Addresses the lack of systemization in the field, providingeducational materials on predictive models, including methods, tools, and the evaluation of uncertaintiesCollects the combined effects of features, other than dose, in predicting the risk of toxicity in radiation therapyEdited by two leading experts in the field |
Beschreibung: | xix, 474 Seiten Illustrationen, Diagramme |
ISBN: | 9781138198098 |
Internformat
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520 | |a The treatment of a patient with radiation therapy is planned to find the optimal way to treata tumour while minimizing the dose received by the surrounding normal tissues. In order to better exploit the possibilities of this process, the availability ofaccurate and quantitative knowledge of the peculiar responses of the different tissues is of paramount importance.This book provides an invaluable tutorial for radiation oncologists, medical physicists, and dosimetrists involved in the planning optimization phase of treatment. It presents a practical, accessible, and comprehensive summary of the field’s current research and knowledge regarding the response of normal tissues to radiation. This is the first comprehensive attempt to do so since the publication of the QUANTEC guidelines in 2010. Features:Addresses the lack of systemization in the field, providingeducational materials on predictive models, including methods, tools, and the evaluation of uncertaintiesCollects the combined effects of features, other than dose, in predicting the risk of toxicity in radiation therapyEdited by two leading experts in the field | ||
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spelling | Modelling radiotherapy side effects practical applications for planning optimisation edited by Tiziana Rancati and Claudio Fiorino Boca Raton ; London ; New York CRC Press, Taylor & Francis Group 2019 xix, 474 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Medical physics and biomedical engineering The treatment of a patient with radiation therapy is planned to find the optimal way to treata tumour while minimizing the dose received by the surrounding normal tissues. In order to better exploit the possibilities of this process, the availability ofaccurate and quantitative knowledge of the peculiar responses of the different tissues is of paramount importance.This book provides an invaluable tutorial for radiation oncologists, medical physicists, and dosimetrists involved in the planning optimization phase of treatment. It presents a practical, accessible, and comprehensive summary of the field’s current research and knowledge regarding the response of normal tissues to radiation. This is the first comprehensive attempt to do so since the publication of the QUANTEC guidelines in 2010. Features:Addresses the lack of systemization in the field, providingeducational materials on predictive models, including methods, tools, and the evaluation of uncertaintiesCollects the combined effects of features, other than dose, in predicting the risk of toxicity in radiation therapyEdited by two leading experts in the field bisacsh / MEDICAL / Radiology & Nuclear Medicine bisacsh / MEDICAL / Oncology (DE-588)4143413-4 Aufsatzsammlung gnd-content Rancati, Tiziana edt Fiorino, Claudio edt Erscheint auch als Online-Ausgabe 9781315270814 |
spellingShingle | Modelling radiotherapy side effects practical applications for planning optimisation bisacsh / MEDICAL / Radiology & Nuclear Medicine bisacsh / MEDICAL / Oncology |
subject_GND | (DE-588)4143413-4 |
title | Modelling radiotherapy side effects practical applications for planning optimisation |
title_auth | Modelling radiotherapy side effects practical applications for planning optimisation |
title_exact_search | Modelling radiotherapy side effects practical applications for planning optimisation |
title_exact_search_txtP | Modelling radiotherapy side effects practical applications for planning optimisation |
title_full | Modelling radiotherapy side effects practical applications for planning optimisation edited by Tiziana Rancati and Claudio Fiorino |
title_fullStr | Modelling radiotherapy side effects practical applications for planning optimisation edited by Tiziana Rancati and Claudio Fiorino |
title_full_unstemmed | Modelling radiotherapy side effects practical applications for planning optimisation edited by Tiziana Rancati and Claudio Fiorino |
title_short | Modelling radiotherapy side effects |
title_sort | modelling radiotherapy side effects practical applications for planning optimisation |
title_sub | practical applications for planning optimisation |
topic | bisacsh / MEDICAL / Radiology & Nuclear Medicine bisacsh / MEDICAL / Oncology |
topic_facet | bisacsh / MEDICAL / Radiology & Nuclear Medicine bisacsh / MEDICAL / Oncology Aufsatzsammlung |
work_keys_str_mv | AT rancatitiziana modellingradiotherapysideeffectspracticalapplicationsforplanningoptimisation AT fiorinoclaudio modellingradiotherapysideeffectspracticalapplicationsforplanningoptimisation |