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Principles and Practice of Image-Guided Radiation Therapy of Lung Cancer
This book gives a comprehensive overview on the use of image-guided radiation therapy (IGRT) in the treatment of lung cancer, covering step-by-step guidelines for clinical implementations, fundamental principles and key technical advances. It covers benefits and limitations of techniques as well as quality and safety issues related to IGRT practice. Addresses imaging simulation, treatment planning, verification, and delivery Discusses important quality assurance issues Describes current methods using specialized machines and technologies Jing Cai, PhD, is an Associate Professor of Radiation Oncology at Duke University Medical Center. Joe Y. Chang, MD, PhD, is Professor in the Department of Radiation Oncology at The University of Texas MD Anderson Cancer Center in Houston. Fang-Fang Yin, PhD, is Chief of the Division of Radiation Physics, Professor of Radiation Oncology, and Director of the Medical Physics program at Duke University.
Decision Making in Radiation Oncology
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.
Image-Guided Radiotherapy of Lung Cancer
Lung cancer is the leading cause of cancer death in the United States, but IGRT (image guided radiation therapy) offers the possibility of more aggressive and enhanced treatments. The only available source on the subject that emphasizes new imaging techniques, and provides step-by-step treatment guidelines for lung cancer, this source helps clinicians locate and target tumors with enhanced speed, improve the accuracy of radiation delivery, and correctly target cancerous masses while avoiding surrounding structures. Edited by radiation oncology experts from the renowned M.D. Anderson Cancer Center, this guide: focuses on novel approaches using IGRT, particularly PET/CT, SPECT, 4-D CT, stereot...
The Aging Myth
Describes how to positively impact the way you age based upon new scientific insights.
Image-Guided Radiotherapy of Lung Cancer
Lung cancer is the leading cause of cancer death in the United States, but IGRT (image guided radiation therapy) offers the possibility of more aggressive and enhanced treatments. The only available source on the subject that emphasizes new imaging techniques, and provides step-by-step treatment guidelines for lung cancer, this source helps clinici
Medical Image Synthesis
Image synthesis across and within medical imaging modalities is an active area of research with broad applications in radiology and radiation oncology. This book covers the principles and methods of medical image synthesis, along with state-of-the-art research. First, various traditional non-learning-based, traditional machine-learning-based, and recent deep-learning-based medical image synthesis methods are reviewed. Second, specific applications of different inter- and intra-modality image synthesis tasks and of synthetic image-aided segmentation and registration are introduced and summarized, listing and highlighting the proposed methods, study designs, and reported performances with the ...
Radiation Oncology
Radiation Oncology: A Question-Based Review is a comprehensive active learning tool for medical students, residents, and junior attending physicians in radiation oncology. The first question-and-answer review book in this field, it will help professionals quickly and efficiently review specific topics in clinical radiation oncology. It is also an ideal preparation tool for written and oral board examinations. 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. Detailed questions are also included on the natural history, epidemiology, diagnosis, staging, and treatment-related side effects for each cancer type. A companion website will have an interactive question bank for self-testing.
Artificial Intelligence in Radiation Oncology and Biomedical Physics
This pioneering book explores how machine learning and other AI techniques impact millions of cancer patients who benefit from ionizing radiation. It features contributions from global researchers and clinicians, focusing on the clinical applications of machine learning for medical physics. AI and machine learning have attracted much recent attention and are being increasingly adopted in medicine, with many clinical components and commercial software including aspects of machine learning integration. General principles and important techniques in machine learning are introduced, followed by discussion of clinical applications, particularly in radiomics, outcome prediction, registration and s...
Technical Basis of Radiation Therapy
This book offers a detailed examination of the technological basis of radiation therapy. It is jointly written by North American and European authors, which broadens the contents and increases the book’s applicability in daily practice throughout the world.
