Informatics in Radiation Oncology

2013-09-05
 |  Science
Informatics in Radiation Oncology

Author: George Starkschall

Publisher: CRC Press

ISBN: 9781439825839

Category: Science

Page: 329

View: 795

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Reflecting the increased importance of the collaborations between radiation oncology and informatics professionals, Informatics in Radiation Oncology discusses the benefits of applying informatics principles to the processes within radiotherapy. It explores how treatment and imaging information is represented, stored, and retrieved as well as how this information relates to other patient data. The book deepens your knowledge of current and emerging information technology and informatics principles applied to radiation oncology so that all the data gathered—from laboratory results to medical images—can be fully exploited to make treatments more effective and processes more efficient. After introducing the basics of informatics and its connection to radiation oncology, the book examines the process of healthcare delivery in radiation oncology, the challenges of managing images in radiotherapy, and the burgeoning field of radiogenomics. It then presents teaching, clinical trials, and research tools and describes open access clinical imaging archives in radiotherapy, techniques for maximizing information from multimodality imaging, and the roles of images in treatment planning. It also looks at how informatics can improve treatment planning, the safety and efficiency of delivery systems, image-guided patient positioning, and patient assessment. The book concludes with discussions on how outcomes modeling evaluates the effectiveness of treatments, how quality control informatics improves the reliability of processes, and how to perform quality assurance on the informatics tools. With contributions from a host of top international experts in radiation oncology, medical physics, and informatics, this book leads the way in moving the field forward. It encourages you to find new ways of applying informatics to radiation oncology and help your patients in their fight against cancer.

Advanced and Emerging Technologies in Radiation Oncology Physics

2018-05-24
 |  Medical
Advanced and Emerging Technologies in Radiation Oncology Physics

Author: Siyong Kim

Publisher: CRC Press

ISBN: 9780429019449

Category: Medical

Page: 382

View: 500

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This new book educates readers about new technologies before they appear in hospitals, enabling medical physicists and clinicians to prepare for new technologies thoroughly and proactively, and provide better patient care once new equipment becomes available. Emerging technologies in imaging, treatment planning, treatment delivery, dosimetry and informatics are all discussed. The book is divided into three parts: recently developed technologies available for practice; technologies under development nearing completion; and technologies in an early stage of development that could have potential radiotherapy applications. Features: Introduces emerging technologies in imaging, treatment planning, treatment delivery, dosimetry and informatics The advantages and limitations of each technology in clinical settings are discussed, and recommendations on how to adopt the technologies are provided Critiques and improvement points are provided for researchers, in addition to suggestions on how to prepare quality assurance are provided as needed

Machine Learning in Radiation Oncology

2015-06-19
 |  Medical
Machine Learning in Radiation Oncology

Author: Issam El Naqa

Publisher: Springer

ISBN: 9783319183053

Category: Medical

Page: 336

View: 779

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​This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring; image-guided radiotherapy; respiratory motion management; and treatment response modeling and outcome prediction. The book will be invaluable for students and residents in medical physics and radiation oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities.

Hendee's Radiation Therapy Physics

2016-01-19
 |  Medical
Hendee's Radiation Therapy Physics

Author: Todd Pawlicki

Publisher: John Wiley & Sons

ISBN: 9781118575260

Category: Medical

Page: 344

View: 243

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The publication of this fourth edition, more than ten years on from the publication of Radiation Therapy Physics third edition, provides a comprehensive and valuable update to the educational offerings in this field. Led by a new team of highly esteemed authors, building on Dr Hendee’s tradition, Hendee’s Radiation Therapy Physics offers a succinctly written, fully modernised update. Radiation physics has undergone many changes in the past ten years: intensity-modulated radiation therapy (IMRT) has become a routine method of radiation treatment delivery, digital imaging has replaced film-screen imaging for localization and verification, image-guided radiation therapy (IGRT) is frequently used, in many centers proton therapy has become a viable mode of radiation therapy, new approaches have been introduced to radiation therapy quality assurance and safety that focus more on process analysis rather than specific performance testing, and the explosion in patient-and machine-related data has necessitated an increased awareness of the role of informatics in radiation therapy. As such, this edition reflects the huge advances made over the last ten years. This book: Provides state of the art content throughout Contains four brand new chapters; image-guided therapy, proton radiation therapy, radiation therapy informatics, and quality and safety improvement Fully revised and expanded imaging chapter discusses the increased role of digital imaging and computed tomography (CT) simulation The chapter on quality and safety contains content in support of new residency training requirements Includes problem and answer sets for self-test This edition is essential reading for radiation oncologists in training, students of medical physics, medical dosimetry, and anyone interested in radiation therapy physics, quality, and safety.

Big Data in Radiation Oncology

2019-03-07
 |  Science
Big Data in Radiation Oncology

Author: Jun Deng

Publisher: CRC Press

ISBN: 9781351801126

Category: Science

Page: 289

View: 833

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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.

Radiation Oncology

2008-11-23
 |  Medical
Radiation Oncology

Author: Jiade J. Lu

Publisher: Springer Science & Business Media

ISBN: 9783540773856

Category: Medical

Page: 679

View: 865

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Radiation Oncology: An Evidence-Based Approach (ROEBA) is a reference book designed to enable radiation oncologists, including those in training, to make diagnostic and treatment decisions on the basis of the best available scientific evidence. Ease of use is ensured by a structured, reader-friendly format that offers rapid access to evidence-based recommendations. ROEBA’s orientation is entirely practical, in that the focus is solely on diagnostic/staging and treatment issues. Detailed diagnostic and therapeutic guidelines are provided for multidisciplinary cancer management as well as radiation therapy techniques. The evidence underlying each recommendation is clearly and concisely explained, and the strength of the recommendations and evidence is systemically graded. Furthermore, diagnostic and treatment algorithms are provided for the commonly diagnosed cancers. This ground-breaking text on radiation oncology is an essential tool for physicians in their daily clinical practice.

Beam's Eye View Imaging in Radiation Oncology

2017-09-01
 |  Science
Beam's Eye View Imaging in Radiation Oncology

Author: Ross I. Berbeco, Ph.D.

Publisher: CRC Press

ISBN: 9781498736350

Category: Science

Page: 242

View: 258

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This first dedicated overview for beam’s eye view (BEV) covers instrumentation, methods, and clinical use of this exciting technology, which enables real-time anatomical imaging. It highlights how the information collected (e.g., the shape and size of the beam aperture and intensity of the beam) is used in the clinic for treatment verification, adaptive radiotherapy, and in-treatment interventions. The chapters cover detector construction and components, common imaging procedures, and state of the art applications. The reader will also be presented with emerging innovations, including target modifications, real-time tracking, reconstructing delivered dose, and in vivo portal dosimetry. Ross I. Berbeco, PhD, is a board-certified medical physicist and Associate Professor of Radiation Oncology at the Dana-Farber Cancer Institute, Brigham and Women’s Hospital and Harvard Medical School.

Career Development in Academic Radiation Oncology

2021-05-25
 |  Medical
Career Development in Academic Radiation Oncology

Author: Ravi A. Chandra

Publisher: Springer Nature

ISBN: 9783030718558

Category: Medical

Page: 456

View: 746

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This book offers comprehensive career development advice for professionals in radiation oncology. While numerous texts have been published to advise medical students on entry into the specialty, and to guide residents and junior faculty with exam preparation, there remains a need for a comprehensive resource that covers topics pertinent to a successful career within radiation oncology. This text has been edited and written by leading experts in the field, and offers multiple unique vantage points. This work is divided into five sections covering career planning, applying to faculty positions, early career development, mid and senior career considerations, and contextual issues. Throughout the text, authors balance “nuts and bolts” (e.g., preparing your CV and evaluating a contract) with big picture considerations. Each chapter is written concisely, yet comprehensively, from the vantage point of a mentor advising a mentee; questions to review with local mentors and additional reading suggestions are also provided. Issues of workforce disparities, conscious and unconscious bias, work-life equilibrium, and interpersonal conflict, and how these may impact one’s career path, are also closely addressed. While the work is primarily targeted to those pursuing career paths within academic medicine, there is also distinct value and tailored content for trainees and radiation oncologists practicing in hospital-based, hybrid or community settings. In a period of rapid change in the healthcare sector and cancer care more specifically, this book will serve as the premier reference for those pursuing an independent career in radiation oncology.

Big Data Analytics in Bioinformatics and Healthcare

2014-10-31
 |  Computers
Big Data Analytics in Bioinformatics and Healthcare

Author: Wang, Baoying

Publisher: IGI Global

ISBN: 9781466666122

Category: Computers

Page: 528

View: 229

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As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract relevant health information. Big Data Analytics in Bioinformatics and Healthcare merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management. Complete with interdisciplinary research resources, this publication is an essential reference source for researchers, practitioners, and students interested in the fields of biological computation, database management, and health information technology, with a special focus on the methodologies and tools to manage massive and complex electronic information.

Emerging Developments and Practices in Oncology

2018-02-09
 |  Medical
Emerging Developments and Practices in Oncology

Author: El Naqa, Issam

Publisher: IGI Global

ISBN: 9781522530862

Category: Medical

Page: 305

View: 361

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Cancer is a leading cause of death that affects numerous people at every age and their relatives. In recent years, there has been a tremendous advancement in imaging and biotechnology technologies and techniques for aiding in the detection, diagnosis, and treatment of cancer. Emerging Developments and Practices in Oncology provides research on recent advances in oncology aiming to improve early detection and personalized treatment of cancer. While highlighting applied methods of therapy, such as body radiotherapy, chemoradiotherapy, and immunotherapy, readers learn about the transforming approach to oncology in modern medicine and new technologies used to diagnose and treat cancer. This book is an important resource for medical trainees, graduate students, active practitioners, researchers, and clinical scientists seeking current research on oncology trends and applications.

Ultrasound Imaging and Therapy

2015-05-08
 |  Medical
Ultrasound Imaging and Therapy

Author: Aaron Fenster

Publisher: Taylor & Francis

ISBN: 9781439866290

Category: Medical

Page: 336

View: 869

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Up-to-Date Details on Using Ultrasound Imaging to Help Diagnose Various Diseases Due to improvements in image quality and the reduced cost of advanced features, ultrasound imaging is playing a greater role in the diagnosis and image-guided intervention of a wide range of diseases. Ultrasound Imaging and Therapy highlights the latest advances in using ultrasound imaging in image-guided interventions and ultrasound-based therapy. The book presents current and emerging techniques, identifies trends in the use of ultrasound imaging, and addresses technical and computational problems that need to be solved. The book is organized into three sections. The first section covers advances in technology, including transducers (2-D, 3-D, and 4-D), beamformers, 3-D imaging systems, and blood velocity estimation systems. The second section focuses on diagnostic applications, such as elastography, quantitative techniques for therapy monitoring and diagnostic imaging, and ultrasound tomography. The final section explains the use of ultrasound in image-guided interventions for image-guided biopsy and brain imaging.