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A Guide To Outcome Modeling In Radiotherapy And Oncology
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Book Synopsis A Guide to Outcome Modeling In Radiotherapy and Oncology by : Issam El Naqa
Download or read book A Guide to Outcome Modeling In Radiotherapy and Oncology written by Issam El Naqa and published by CRC Press. This book was released on 2018-04-19 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores outcome modeling in cancer from a data-centric perspective to enable a better understanding of complex treatment response, to guide the design of advanced clinical trials, and to aid personalized patient care and improve their quality of life. It contains coverage of the relevant data sources available for model construction (panomics), ranging from clinical or preclinical resources to basic patient and treatment characteristics, medical imaging (radiomics), and molecular biological markers such as those involved in genomics, proteomics and metabolomics. It also includes discussions on the varying methodologies for predictive model building with analytical and data-driven approaches. This book is primarily intended to act as a tutorial for newcomers to the field of outcome modeling, as it includes in-depth how-to recipes on modeling artistry while providing sufficient instruction on how such models can approximate the physical and biological realities of clinical treatment. The book will also be of value to seasoned practitioners as a reference on the varying aspects of outcome modeling and their current applications. Features: Covers top-down approaches applying statistical, machine learning, and big data analytics and bottom-up approaches using first principles and multi-scale techniques, including numerical simulations based on Monte Carlo and automata techniques Provides an overview of the available software tools and resources for outcome model development and evaluation, and includes hands-on detailed examples throughout Presents a diverse selection of the common applications of outcome modeling in a wide variety of areas: treatment planning in radiotherapy, chemotherapy and immunotherapy, utility-based and biomarker applications, particle therapy modeling, oncological surgery, and the design of adaptive and SMART clinical trials
Book Synopsis A Guide to Outcome Modeling In Radiotherapy and Oncology by : Issam El Naqa
Download or read book A Guide to Outcome Modeling In Radiotherapy and Oncology written by Issam El Naqa and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book explores outcome modeling in cancer from a data-centric perspective to enable a better understanding of complex treatment response, to guide the design of advanced clinical trials, and to aid personalized patient care and improve their quality of life. It contains coverage of the relevant data sources available for model construction (panomics), ranging from clinical or preclinical resources to basic patient and treatment characteristics, medical imaging (radiomics), and molecular biological markers such as those involved in genomics, proteomics and metabolomics. It also includes discussions on the varying methodologies for predictive model building with analytical and data-driven approaches.This book is primarily intended to act as a tutorial for newcomers to the field of outcome modeling, as it includes in-depth how-to recipes on modeling artistry while providing sufficient instruction on how such models can approximate the physical and biological realities of clinical treatment. The book will also be of value to seasoned practitioners as a reference on the varying aspects of outcome modeling and their current applications."--Provided by publisher.
Book Synopsis A Guide to Outcome Modeling In Radiotherapy and Oncology by : Issam El Naqa
Download or read book A Guide to Outcome Modeling In Radiotherapy and Oncology written by Issam El Naqa and published by CRC Press. This book was released on 2018-04-19 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores outcome modeling in cancer from a data-centric perspective to enable a better understanding of complex treatment response, to guide the design of advanced clinical trials, and to aid personalized patient care and improve their quality of life. It contains coverage of the relevant data sources available for model construction (panomics), ranging from clinical or preclinical resources to basic patient and treatment characteristics, medical imaging (radiomics), and molecular biological markers such as those involved in genomics, proteomics and metabolomics. It also includes discussions on the varying methodologies for predictive model building with analytical and data-driven approaches. This book is primarily intended to act as a tutorial for newcomers to the field of outcome modeling, as it includes in-depth how-to recipes on modeling artistry while providing sufficient instruction on how such models can approximate the physical and biological realities of clinical treatment. The book will also be of value to seasoned practitioners as a reference on the varying aspects of outcome modeling and their current applications. Features: Covers top-down approaches applying statistical, machine learning, and big data analytics and bottom-up approaches using first principles and multi-scale techniques, including numerical simulations based on Monte Carlo and automata techniques Provides an overview of the available software tools and resources for outcome model development and evaluation, and includes hands-on detailed examples throughout Presents a diverse selection of the common applications of outcome modeling in a wide variety of areas: treatment planning in radiotherapy, chemotherapy and immunotherapy, utility-based and biomarker applications, particle therapy modeling, oncological surgery, and the design of adaptive and SMART clinical trials
Book Synopsis Machine Learning and Artificial Intelligence in Radiation Oncology by : Barry S. Rosenstein
Download or read book Machine Learning and Artificial Intelligence in Radiation Oncology written by Barry S. Rosenstein and published by Academic Press. This book was released on 2023-12-02 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning and Artificial Intelligence in Radiation Oncology: A Guide for Clinicians is designed for the application of practical concepts in machine learning to clinical radiation oncology. It addresses the existing void in a resource to educate practicing clinicians about how machine learning can be used to improve clinical and patient-centered outcomes. This book is divided into three sections: the first addresses fundamental concepts of machine learning and radiation oncology, detailing techniques applied in genomics; the second section discusses translational opportunities, such as in radiogenomics and autosegmentation; and the final section encompasses current clinical applications in clinical decision making, how to integrate AI into workflow, use cases, and cross-collaborations with industry. The book is a valuable resource for oncologists, radiologists and several members of biomedical field who need to learn more about machine learning as a support for radiation oncology. Presents content written by practicing clinicians and research scientists, allowing a healthy mix of both new clinical ideas as well as perspectives on how to translate research findings into the clinic Provides perspectives from artificial intelligence (AI) industry researchers to discuss novel theoretical approaches and possibilities on academic collaborations Brings diverse points-of-view from an international group of experts to provide more balanced viewpoints on a complex topic
Book Synopsis Machine Learning in Radiation Oncology by : Issam El Naqa
Download or read book Machine Learning in Radiation Oncology written by Issam El Naqa and published by Springer. This book was released on 2015-06-19 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis A Practical Guide to Designing Phase II Trials in Oncology by : Sarah R. Brown
Download or read book A Practical Guide to Designing Phase II Trials in Oncology written by Sarah R. Brown and published by John Wiley & Sons. This book was released on 2014-03-28 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to identify optimal phase II trial designs Providing a practical guide containing the information needed to make crucial decisions regarding phase II trial designs, A Practical Guide to Designing Phase II Trials in Oncology sets forth specific points for consideration between the statistician and clinician when designing a phase II trial, including issues such as how the treatment works, choice of outcome measure and randomization, and considering both academic and industry perspectives. A comprehensive and systematic library of available phase II trial designs is included, saving time otherwise spent considering multiple manuscripts, and real-life practical examples of using this approach to design phase II trials in cancer are given. A Practical Guide to Designing Phase II Trials in Oncology: Offers a structured and practical approach to phase II trial design Considers trial design from both an academic and industry perspective Includes a structured library of available phase II trial designs Is relevant to both clinical and statistical researchers at all levels Includes real life examples of applying this approach For those new to trial design, A Practical Guide to Designing Phase II Trials in Oncology will be a unique and practical learning tool, providing an introduction to the concepts behind informed decision making in phase II trials. For more experienced practitioners, the book will offer an overview of new, less familiar approaches to phase II trial design, providing alternative options to those which they may have previously used.
Book Synopsis Machine and Deep Learning in Oncology, Medical Physics and Radiology by : Issam El Naqa
Download or read book Machine and Deep Learning in Oncology, Medical Physics and Radiology written by Issam El Naqa and published by Springer Nature. This book was released on 2022-02-02 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, now in an extensively revised and updated second edition, provides a comprehensive overview of both machine learning and deep learning and their role in oncology, medical physics, and radiology. Readers will find thorough coverage of basic theory, methods, and demonstrative applications in these fields. An introductory section explains machine and deep learning, reviews learning methods, discusses performance evaluation, and examines software tools and data protection. Detailed individual sections are then devoted to the use of machine and deep learning for medical image analysis, treatment planning and delivery, and outcomes modeling and decision support. Resources for varying applications are provided in each chapter, and software code is embedded as appropriate for illustrative purposes. The book will be invaluable for students and residents in medical physics, radiology, and oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities.
Book Synopsis Artificial Intelligence in Radiation Oncology and Biomedical Physics by : Gilmer Valdes
Download or read book Artificial Intelligence in Radiation Oncology and Biomedical Physics written by Gilmer Valdes and published by CRC Press. This book was released on 2023-08-14 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 segmentation, treatment planning, quality assurance, image processing, and clinical decision-making. Finally, a futuristic look at the role of AI in radiation oncology is provided. This book brings medical physicists and radiation oncologists up to date with the most novel applications of machine learning to medical physics. Practitioners will appreciate the insightful discussions and detailed descriptions in each chapter. Its emphasis on clinical applications reaches a wide audience within the medical physics profession.
Book Synopsis Radiation Therapy Outcome Prediction Using Statistical Correlations & Deep Learning by : André Diamant Boustead
Download or read book Radiation Therapy Outcome Prediction Using Statistical Correlations & Deep Learning written by André Diamant Boustead and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Prognosis after cancer treatment is a constant concern for physicians, patients and their surrounding friends and family. This is one of the reasons that treatment outcomes prediction is such a critical field of research. The sheer magnitude of data generated within a typical radiation oncology clinic each year facilitates the development and eventual validation of predictive and prognostic models. Furthermore, the technological advances driven by data science have enabled the usage of advanced machine learning techniques which can far exceed the performance of previously used conventional techniques.Most cancer patients follow a standard radiation oncology workflow, which among other things includes medical imaging (CT/PET) and the creation of a radiation therapy treatment plan. As these sorts of data are (in theory) present for every patient, they are ideal variables to input into a predictive model. The goal of this thesis was to investigate these two types of pre-treatment input data (diagnostic imaging and dosimetric data) along with patient characteristics to identify associations and create models capable of predicting a cancer patient's treatment response following radiation therapy. The first objective was to investigate dose-volume metrics as predictors of clinical outcomes in a cohort of 422 non-small cell lung cancer (NSCLC) patients who received stereotactic body radiation therapy (SBRT). A correlation between the dose delivered to the region outside the tumor and the occurrence of distant metastasis was revealed. In particular, patients who received above a certain threshold dose were shown to have significantly reduced distant metastasis recurrence rates compared to the rest of the population. This was first shown on 217 patients all of whom were treated with conventional SBRT treatment modalities. Next, a similar analysis was done on 205 patients who were treated with a robotic arm linear accelerator (CyberKnife). It was found that the CyberKnife cohort had both superior distant control and local control, suggesting that under current prescription practices, CyberKnife, as a delivery device, could be superior for treating NSCLC patients with SBRT. The second objective of this thesis was to investigate the usage of a deep learning framework applied to raw medical imaging data in order to predict the overall prognosis of head & neck cancer patients post-radiation therapy. A de novo architecture was built incorporating CT images, resulting in comparable performance to a state-of-the-art study. Furthermore, our model was shown to recognize imaging features (`radiomics') previously shown to be predictive without being explicitly presented with their definition. The final portion of this work was the development of a multi-modal deep learning framework which incorporated CT & PET images along with clinical information. This was compared to the previous architecture built, showing substantial increase in prediction performance for both overall survival and local recurrence. It was also shown to function in the presence of missing data, a common occurrence within the medical landscape.This work demonstrates that pre-treatment prediction of a cancer patient's post-radiation therapy outcomes is possible by learning correlations and building models from readily available data. Future efforts should be put towards data sharing & data curation to enable the creation and validation of models that eventually can be used in the clinic. Ultimately, predictive models should evolve into generative models whereupon one's treatment could be automatically created with the explicit intention of statistically optimizing that patient's outcomes"--
Book Synopsis Modelling Radiotherapy Side Effects by : Tiziana Rancati
Download or read book Modelling Radiotherapy Side Effects written by Tiziana Rancati and published by CRC Press. This book was released on 2019-06-11 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: The treatment of a patient with radiation therapy is planned to find the optimal way to treat a tumour while minimizing the dose received by the surrounding normal tissues. In order to better exploit the possibilities of this process, the availability of accurate 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, providing educational materials on predictive models, including methods, tools, and the evaluation of uncertainties Collects the combined effects of features, other than dose, in predicting the risk of toxicity in radiation therapy Edited by two leading experts in the field
Book Synopsis Advanced and Emerging Technologies in Radiation Oncology Physics by : Siyong Kim
Download or read book Advanced and Emerging Technologies in Radiation Oncology Physics written by Siyong Kim and published by CRC Press. This book was released on 2018-05-24 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Handbook of Nuclear Medicine and Molecular Imaging for Physicists by : Michael Ljungberg
Download or read book Handbook of Nuclear Medicine and Molecular Imaging for Physicists written by Michael Ljungberg and published by CRC Press. This book was released on 2022-02-08 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical modelling is an important part of nuclear medicine. Therefore, several chapters of this book have been dedicated towards describing this topic. In these chapters, an emphasis has been put on describing the mathematical modelling of the radiation transport of photons and electrons, as well as on the transportation of radiopharmaceuticals between different organs and compartments. It also includes computer models of patient dosimetry. Two chapters of this book are devoted towards introducing the concept of biostatistics and radiobiology. These chapters are followed by chapters detailing dosimetry procedures commonly used in the context of diagnostic imaging, as well as patient-specific dosimetry for radiotherapy treatments. For safety reasons, many of the methods used in nuclear medicine and molecular imaging are tightly regulated. Therefore, this volume also highlights the basic principles for radiation protection. It discusses the process of how guidelines and regulations aimed at minimizing radiation exposure are determined and implemented by international organisations. Finally, this book describes how different dosimetry methods may be utilized depending on the intended target, including whole-body or organ-specific imaging, as well as small-scale to cellular dosimetry. This text will be an invaluable resource for libraries, institutions, and clinical and academic medical physicists searching for a complete account of what defines nuclear medicine. The most comprehensive reference available providing a state-of-the-art overview of the field of nuclear medicine Edited by a leader in the field, with contributions from a team of experienced medical physicists, chemists, engineers, scientists, and clinical medical personnel Includes the latest practical research in the field, in addition to explaining fundamental theory and the field's history
Book Synopsis Radiotherapy and Clinical Radiobiology of Head and Neck Cancer by : Loredana G. Marcu
Download or read book Radiotherapy and Clinical Radiobiology of Head and Neck Cancer written by Loredana G. Marcu and published by CRC Press. This book was released on 2018-05-15 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Common factors that lead to treatment failure in head and neck cancer are the lack of tumour oxygenation, the accelerated division of cancer cells during treatment, and radioresistance. These tumour-related challenges and possible ways to overcome them are covered in this book, authored by three medical physicists and a clinical oncologist who explain how different radiobiological findings have led to the development of various treatment techniques for head and neck cancer. Novel treatment techniques as supported by current scientific evidence are comprehensively explored, as well as the major challenges that arise in the retreatment of patients who have already undergone a form of radiotherapy for primary head and neck cancer. Features: Uses an interdisciplinary approach, encompassing clinical aspects of radiotherapy, radiation biology, and medical physics Applies content by relating all radiobiological characteristics to their respective clinical implications Explains the radiobiological rationale for all previous and current clinical trials for head and neck cancer
Book Synopsis Dose-effet Relationships in Modern Radiation Oncology by : Ivan Richter Vogelius
Download or read book Dose-effet Relationships in Modern Radiation Oncology written by Ivan Richter Vogelius and published by . This book was released on with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Clinical Radiotherapy Physics with MATLAB by : Pavel Dvorak
Download or read book Clinical Radiotherapy Physics with MATLAB written by Pavel Dvorak and published by CRC Press. This book was released on 2018-06-12 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first MATLAB® programming book written specifically for clinical radiotherapy medical physicists and medical physics trainees, this much-needed book teaches users how to create their own clinical applications using MATLAB®, as a complement to commercial software particularly when the latter does not cover specific local clinical needs. Chapters explore key radiotherapy areas such as handling volumes, 3D dose calculation, comparing dose distributions, reconstructing treatment plans and their summations, and automated tests for machine quality assurance. Readers will learn to independently analyse and process images, doses, structures, and other radiotherapy clinical data to deal with standard and non-standard situations in radiotherapy. This book will also significantly improve understanding of areas such as data nature, information content, DICOM RT standard, and data flow. It will be an invaluable reference for students of medical physics, in addition to clinical radiotherapy physicists and researchers working in radiotherapy. Features: Includes real clinical medical physics applications derived from actual clinical problems Provides commented MATLAB® scripts working with sample data and/or own data matching input requirements Promotes critical thinking and practical problem solving skills
Book Synopsis Advanced Radiation Protection Dosimetry by : Shaheen Dewji
Download or read book Advanced Radiation Protection Dosimetry written by Shaheen Dewji and published by CRC Press. This book was released on 2019-04-02 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although many radiation protection scientists and engineers use dose coefficients, few know the origin of those dose coefficients. This is the first book in over 40 years to address the topic of radiation protection dosimetry in intimate detail. Advanced Radiation Protection Dosimetry covers all methods used in radiation protection dosimetry, including advanced external and internal radiation dosimetry concepts and regulatory applications. This book is an ideal reference for both scientists and practitioners in radiation protection and students in graduate health physics and medical physics courses. Features: A much-needed book filling a gap in the market in a rapidly expanding area Contains the history, evolution, and the most up-to-date computational dosimetry models Authored and edited by internationally recognized authorities and subject area specialists Interrogates both the origins and methodologies of dose coefficient calculation Incorporates the latest international guidance for radiation dosimetry and protection
Book Synopsis Ethics for Radiation Protection in Medicine by : Jim Malone
Download or read book Ethics for Radiation Protection in Medicine written by Jim Malone and published by CRC Press. This book was released on 2018-12-07 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an up to date ethical framework for radiological protection in medicine. It is consistent with the requirements of the system of radiation protection and with the expectations of medical ethics. It presents an approach rooted in the medical tradition, and alert to contemporary social expectations. It provides readers with a practical framework against which they can assess the safety and acceptability of medical procedures, including patients’ concerns. It will be an invaluable reference for radiologists, radiation oncologists, regulators, medical physicists, technologists, other practitioners, as well as academics, researchers and students of radiation protection in medicine. Features: An authoritative and accessible guide, authored by a team who have contributed to defining the area internationally Includes numerous practical examples/clinical scenarios that illustrate the approach, presenting a pragmatic approach, rather than dwelling on philosophical theories Informed by the latest developments in the thinking of international organizations
