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Author: Jiade J. Lu
Publisher: Springer Science & Business Media
ISBN: 3642163335
Category : Medical
Languages : en
Pages : 599
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Book Description
Decision Making in Radiation Oncology is a reference book designed to enable radiation oncologists, including those in training, to make diagnostic and treatment decisions effectively and efficiently. The design is based on the belief that “a picture is worth a thousand words.” Knowledge is conveyed through an illustrative approach using algorithms, schemas, graphics, and tables. Detailed guidelines are provided for multidisciplinary cancer management and radiation therapy techniques. In addition to the attention-riveting algorithms for diagnosis and treatment, strategies for the management of disease at individual stages are detailed for all the commonly diagnosed malignancies. Clinical trials that have yielded “gold standard” treatment and their results are documented in the schemas. Moreover, radiation techniques, including treatment planning and delivery, are presented in an illustrative way. This groundbreaking publication is an essential tool for physicians in their daily clinical practice.
Author: Jiade J. Lu
Publisher: Springer Science & Business Media
ISBN: 3642163335
Category : Medical
Languages : en
Pages : 599
Get Book
Book Description
Decision Making in Radiation Oncology is a reference book designed to enable radiation oncologists, including those in training, to make diagnostic and treatment decisions effectively and efficiently. The design is based on the belief that “a picture is worth a thousand words.” Knowledge is conveyed through an illustrative approach using algorithms, schemas, graphics, and tables. Detailed guidelines are provided for multidisciplinary cancer management and radiation therapy techniques. In addition to the attention-riveting algorithms for diagnosis and treatment, strategies for the management of disease at individual stages are detailed for all the commonly diagnosed malignancies. Clinical trials that have yielded “gold standard” treatment and their results are documented in the schemas. Moreover, radiation techniques, including treatment planning and delivery, are presented in an illustrative way. This groundbreaking publication is an essential tool for physicians in their daily clinical practice.
Author: Jiade J. Lu
Publisher: Springer Science & Business Media
ISBN: 3642138322
Category : Medical
Languages : en
Pages : 552
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Book Description
Decision Making in Radiation Oncology is a reference book designed to enable radiation oncologists, including those in training, to make diagnostic and treatment decisions effectively and efficiently. The design is based on the belief that “a picture is worth a thousand words.” Knowledge is conveyed through an illustrative approach using algorithms, schemas, graphics, and tables. Detailed guidelines are provided for multidisciplinary cancer management and radiation therapy techniques. In addition to the attention-riveting algorithms for diagnosis and treatment, strategies for the management of disease at individual stages are detailed for all the commonly diagnosed malignancies. Clinical trials that have yielded “gold standard” treatment and their results are documented in the schemas. Moreover, radiation techniques, including treatment planning and delivery, are presented in an illustrative way. This groundbreaking publication is an essential tool for physicians in their daily clinical practice.
Author: Jiade J. Lu
Publisher: Springer
ISBN: 9783642138331
Category : Medical
Languages : en
Pages : 548
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Book Description
Decision Making in Radiation Oncology is a reference book designed to enable radiation oncologists, including those in training, to make diagnostic and treatment decisions effectively and efficiently. The design is based on the belief that “a picture is worth a thousand words.” Knowledge is conveyed through an illustrative approach using algorithms, schemas, graphics, and tables. Detailed guidelines are provided for multidisciplinary cancer management and radiation therapy techniques. In addition to the attention-riveting algorithms for diagnosis and treatment, strategies for the management of disease at individual stages are detailed for all the commonly diagnosed malignancies. Clinical trials that have yielded “gold standard” treatment and their results are documented in the schemas. Moreover, radiation techniques, including treatment planning and delivery, are presented in an illustrative way. This groundbreaking publication is an essential tool for physicians in their daily clinical practice.
Author: Jiade J. Lu
Publisher: Springer
ISBN: 9783642124624
Category : Medical
Languages : en
Pages : 548
Get Book
Book Description
Decision Making in Radiation Oncology is a reference book designed to enable radiation oncologists, including those in training, to make diagnostic and treatment decisions effectively and efficiently. The design is based on the belief that “a picture is worth a thousand words.” Knowledge is conveyed through an illustrative approach using algorithms, schemas, graphics, and tables. Detailed guidelines are provided for multidisciplinary cancer management and radiation therapy techniques. In addition to the attention-riveting algorithms for diagnosis and treatment, strategies for the management of disease at individual stages are detailed for all the commonly diagnosed malignancies. Clinical trials that have yielded “gold standard” treatment and their results are documented in the schemas. Moreover, radiation techniques, including treatment planning and delivery, are presented in an illustrative way. This groundbreaking publication is an essential tool for physicians in their daily clinical practice.
Author: Carlos A. Perez
Publisher: Lippincott Williams & Wilkins
ISBN: 160547911X
Category : Medical
Languages : en
Pages : 880
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Book Description
Ideal for on-the-spot consultation, this pocket manual, Radiation Oncology: Management Decisions, provides easily accessible information for residents and practitioners in radiation oncology. It presents the most essential information that is immediately required in the clinical setting. The first eight chapters of the book focus on key basic concepts; the remaining 46 chapters describe treatment regimens for all cancer sites and tumor types. Includes coverage of pain and palliation, and covers all latest therapeutic techniques. This edition includes expanded information on image-guided therapy, 3D techniques, and 4D protocols. The updated cancer staging guidelines have been used throughout the manual. In addition, there is a brand-new chapter devoted to QUANTEC dosage recommendations.
Author: K. S. Clifford Chao
Publisher: Lippincott Williams & Wilkins
ISBN: 9780781732222
Category : Medical
Languages : en
Pages : 798
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Book Description
Designed for rapid, on-the-spot consultation, this handy manual presents the most essential information that is immediately required in the daily clinical practice of radiation oncology. The first 12 chapters succinctly review concepts that are crucial in treatment planning and patient management. The remaining 52 chapters describe treatment regimens for all cancer sites and tumor types.This revised, updated Second Edition reflects the past three years' many improvements in radiation treatment of malignancies. A new chapter covers intensity modulated radiation therapy (IMRT). The book contains more than 300 practical illustrations, including full-color in the chapters on IMRT and 3-D physics and treatment planning.
Author: Gustavo Arruda Viani
Publisher:
ISBN: 9781624176081
Category : Medical
Languages : en
Pages : 292
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Book Description
"Radiation Therapy: Clinical Evidence for Decision-Making" - Volume 2, is a comprehensive learning tool for medical students, residents, and junior attending physicians in radiation oncology. Organized in chapters and sections by site, the book covers in detail all the sites and cancer types currently treated with radiotherapy. Emphasis is on treatment recommendations and the evidence behind them. Moreover, this book provides easily accessible information for residents and practitioners in radiation oncology. It presents the most essential information that is immediately required in the clinical setting. Important data of epidemiology, anatomy, pathology, and clinical presentation are highlighted. Key facets of the work-up are listed, followed by staging and/or risk classification systems. Treatment recommendations are discussed based on stage, histology, and/or risk classification. Brief summaries of key trials and studies provide rationale for the recommendations.
Author: Gustavo Arruda Viani
Publisher: Nova Science Publishers
ISBN: 9781624175954
Category : Cancer
Languages : en
Pages : 0
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Book Description
This is a comprehensive learning tool for medical students, residents, and junior attending physicians in radiation oncology. Organised in chapters and sections by site, the book covers in detail all the sites and cancer types currently treated with radiotherapy. Emphasis is on treatment recommendations and the evidence behind them. Moreover, this book provides easily accessible information for residents and practitioners in radiation oncology. It presents the most essential information that is immediately required in the clinical setting. Important data of epidemiology, anatomy, pathology, and clinical presentation are highlighted. Key facets of the work-up are listed, followed by staging and/or risk classification systems. Treatment recommendations are discussed based on stage, histology, and/or risk classification. Brief summaries of key trials and studies provide rationale for the recommendations.
Author: Jun Deng
Publisher: CRC Press
ISBN: 1351801112
Category : Science
Languages : en
Pages : 355
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Book Description
Big Data in Radiation Oncology gives readers an in-depth look into how big data is having an impact on the clinical care of cancer patients. While basic principles and key analytical and processing techniques are introduced in the early chapters, the rest of the book turns to clinical applications, in particular for cancer registries, informatics, radiomics, radiogenomics, patient safety and quality of care, patient-reported outcomes, comparative effectiveness, treatment planning, and clinical decision-making. More features of the book are: Offers the first focused treatment of the role of big data in the clinic and its impact on radiation therapy. Covers applications in cancer registry, radiomics, patient safety, quality of care, treatment planning, decision making, and other key areas. Discusses the fundamental principles and techniques for processing and analysis of big data. Address the use of big data in cancer prevention, detection, prognosis, and management. Provides practical guidance on implementation for clinicians and other stakeholders. Dr. Jun Deng is a professor at the Department of Therapeutic Radiology of Yale University School of Medicine and an ABR board certified medical physicist at Yale-New Haven Hospital. He has received numerous honors and awards such as Fellow of Institute of Physics in 2004, AAPM Medical Physics Travel Grant in 2008, ASTRO IGRT Symposium Travel Grant in 2009, AAPM-IPEM Medical Physics Travel Grant in 2011, and Fellow of AAPM in 2013. Lei Xing, Ph.D., is the Jacob Haimson Professor of Medical Physics and Director of Medical Physics Division of Radiation Oncology Department at Stanford University. His research has been focused on inverse treatment planning, tomographic image reconstruction, CT, optical and PET imaging instrumentations, image guided interventions, nanomedicine, and applications of molecular imaging in radiation oncology. Dr. Xing is on the editorial boards of a number of journals in radiation physics and medical imaging, and is recipient of numerous awards, including the American Cancer Society Research Scholar Award, The Whitaker Foundation Grant Award, and a Max Planck Institute Fellowship.
Author: Carsten Nieder
Publisher: Springer Science & Business Media
ISBN: 3642371027
Category : Medical
Languages : en
Pages : 307
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Book Description
A look at the recent oncology literature or a search of the common databases reveals a steadily increasing number of nomograms and other prognostic models. These models may predict the risk of relapse, lymphatic spread of a given malignancy, toxicity, survival, etc. Pathology information, gene signatures, and clinical data may all be used to compute the models. This trend reflects increasingly individualized treatment concepts, the need for approaches that achieve a favorable balance between effectiveness and side-effects, and the goal of optimal resource utilization reflecting prognostic knowledge. In order to avoid misuse, it is important to understand the limits and caveats of prognostic and predictive models. This book provides a comprehensive overview of such decision tools for radiation oncology, stratified by disease site, which will enable readers to make informed choices in daily clinical practice and to critically follow the future development of new tools in the field.>
