Author: International Nuclear Information System
Publisher:
ISBN:
Category : Cataloging of serial publications
Languages : en
Pages : 668
Book Description
INIS
Author: International Nuclear Information System
Publisher:
ISBN:
Category : Cataloging of serial publications
Languages : en
Pages : 668
Book Description
Publisher:
ISBN:
Category : Cataloging of serial publications
Languages : en
Pages : 668
Book Description
Periodical Title and Abbreviation by Title
Author: Leland G. Alkire
Publisher: Gale Cengage
ISBN:
Category : Periodicals
Languages : en
Pages : 1738
Book Description
Volume 2 is arranged alphabetically by periodical title, rather than by abbreviation.
Publisher: Gale Cengage
ISBN:
Category : Periodicals
Languages : en
Pages : 1738
Book Description
Volume 2 is arranged alphabetically by periodical title, rather than by abbreviation.
Nuclear Science Abstracts
Annual Scientific Report
Author: Ludwig Institute for Cancer Research
Publisher:
ISBN:
Category : Neoplasms
Languages : en
Pages : 302
Book Description
Publisher:
ISBN:
Category : Neoplasms
Languages : en
Pages : 302
Book Description
Proton Therapy and Radiosurgery
Author: Hans Breuer
Publisher: Springer Science & Business Media
ISBN: 3662043017
Category : Medical
Languages : en
Pages : 292
Book Description
The book is divided into two parts: Part I deals with the relevant physics and planning algorithms of protons (H Breuer) and Part II with the radiobiology, radiopathology and clinical outcomes of proton therapy and a comparison of proton therapy versus photon therapy (BJ Smit). Protons can be used for radiosurgery and general radio therapy. Since proton therapy was first proposed in 1946 by Wilson, about sixteen facilities have been built globally. Only a very few of these have isocentric beam delivery systems so that proton therapy is really only now in a position to be compared directly by means of randomised clinical trials, with modern photon radiotherapy therapy sys tems, both for radiosurgery and for general fractionated radiotherapy. Three-dimensional proton planning computer systems with image fusion (image of computerised tomography (CT), magnetic resonance registration) capabilities imaging (MRI), stereotactic angiograms and perhaps positron emission tomography (PET) are essential for accurate proton therapy planning. New planning systems for spot scanning are under development. Many of the older comparisons of the advantageous dose distributions for protons were made with parallel opposing or multiple co-planar field arrangements, which are now largely obsolete. New comparative plans are necessary once more because of the very rapid progress in 3-D conformal planning with photons. New cost-benefit analy ses may be needed. Low energy (about 70 MeV) proton therapy is eminently suitable for the treatment of eye tumours and has firmly established itself as very useful in this regard.
Publisher: Springer Science & Business Media
ISBN: 3662043017
Category : Medical
Languages : en
Pages : 292
Book Description
The book is divided into two parts: Part I deals with the relevant physics and planning algorithms of protons (H Breuer) and Part II with the radiobiology, radiopathology and clinical outcomes of proton therapy and a comparison of proton therapy versus photon therapy (BJ Smit). Protons can be used for radiosurgery and general radio therapy. Since proton therapy was first proposed in 1946 by Wilson, about sixteen facilities have been built globally. Only a very few of these have isocentric beam delivery systems so that proton therapy is really only now in a position to be compared directly by means of randomised clinical trials, with modern photon radiotherapy therapy sys tems, both for radiosurgery and for general fractionated radiotherapy. Three-dimensional proton planning computer systems with image fusion (image of computerised tomography (CT), magnetic resonance registration) capabilities imaging (MRI), stereotactic angiograms and perhaps positron emission tomography (PET) are essential for accurate proton therapy planning. New planning systems for spot scanning are under development. Many of the older comparisons of the advantageous dose distributions for protons were made with parallel opposing or multiple co-planar field arrangements, which are now largely obsolete. New comparative plans are necessary once more because of the very rapid progress in 3-D conformal planning with photons. New cost-benefit analy ses may be needed. Low energy (about 70 MeV) proton therapy is eminently suitable for the treatment of eye tumours and has firmly established itself as very useful in this regard.
By abbreviation
Author: Leland G. Alkire
Publisher:
ISBN:
Category : Periodicals
Languages : en
Pages : 848
Book Description
Publisher:
ISBN:
Category : Periodicals
Languages : en
Pages : 848
Book Description
List of Journals Indexed for MEDLINE
Current Serials Received
Author: British Library. Document Supply Centre
Publisher:
ISBN:
Category : Periodicals
Languages : en
Pages : 480
Book Description
Publisher:
ISBN:
Category : Periodicals
Languages : en
Pages : 480
Book Description
Big Data in Radiation Oncology
Author: Jun Deng
Publisher: CRC Press
ISBN: 1351801120
Category : Science
Languages : en
Pages : 311
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.
Publisher: CRC Press
ISBN: 1351801120
Category : Science
Languages : en
Pages : 311
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.