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A practical guide for radiologists on providing high yield disease-specific reports Multiple studies show that referring physicians have a clear preference for structured radiology reports due to clarity and ease of interpretation, yet a one-size-fits all approach does not address disease complexities. Concurrently, the use of structured radiology templates has increased, driven in part by the need to comply with big data and artificial intelligence as well as reimbursement. Standardization of reporting is one of the first essential steps in the transformation of radiology from "the art of imaging" to a robust data science. Radiology Structured Reporting Handbook: Disease-Specific Templates and Interpretation Pearls by Professors Olga R. Brook, Wieland H. Sommer, and esteemed colleagues is a highly practical guide on structured reporting for every major area of radiology. Featuring disease-specific templates, the book is organized in six sections and 53 chapters. Section one covers core foundation topics, from different definitions of structured reporting and pros and cons to change management and how to build templates. Five disease-specific sections encompass specific cancers and a variety of abdominal, thoracic, neurological, and cardiovascular diseases and conditions. Key Highlights Downloadable disease-specific templates for a variety of clinical entities including cardiovascular, thoracic, abdominal, oncological, and neuroradiology Essential interpretation pearls for specific diseases from top experts in a bullet format, accompanied by relevant figures and tables Together, the templates and pearls provide an essential and unique practice resource for optimal and clinically relevant reporting. The book also serves as a succinct educational tool for radiology trainees and practicing radiologists who may not interpret specific highly specialized types of studies on a daily basis.
A practical guide for radiologists on providing high yield disease-specific reports Multiple studies show that referring physicians have a clear preference for structured radiology reports due to clarity and ease of interpretation, yet a one-size-fits all approach does not address disease complexities. Concurrently, the use of structured radiology templates has increased, driven in part by the need to comply with big data and artificial intelligence as well as reimbursement. Standardization of reporting is one of the first essential steps in the transformation of radiology from "the art of imaging" to a robust data science. Radiology Structured Reporting Handbook: Disease-Specific Templates and Interpretation Pearls by Professors Olga R. Brook, Wieland H. Sommer, and esteemed colleagues is a highly practical guide on structured reporting for every major area of radiology. Featuring disease-specific templates, the book is organized in six sections and 53 chapters. Section one covers core foundation topics, from different definitions of structured reporting and pros and cons to change management and how to build templates. Five disease-specific sections encompass specific cancers and a variety of abdominal, thoracic, neurological, and cardiovascular diseases and conditions. Key Highlights Downloadable disease-specific templates for a variety of clinical entities including cardiovascular, thoracic, abdominal, oncological, and neuroradiology Essential interpretation pearls for specific diseases from top experts in a bullet format, accompanied by relevant figures and tables Together, the templates and pearls provide an essential and unique practice resource for optimal and clinically relevant reporting. The book also serves as a succinct educational tool for radiology trainees and practicing radiologists who may not interpret specific highly specialized types of studies on a daily basis. This book includes complimentary access to a digital copy on https://medone.thieme.com.
The Oxford American Handbook of Radiology is a concise, image-rich guide to radiology for non-radiologists who wish to improve their understanding and utilization of imaging as well as their interpretative skills. An "Essentials" section covers topics such as imaging modalities, contrast, risks of imaging, imaging the pregnant patient and imaging algorithms for common presenting conditions. The remaining chapters are organized to facilitate easy review for students on either radiology or clinical clerkships such as OBGYN, medicine or surgery. Chapters include: chest imaging, abdominal imaging, neurological imaging, musculoskeletal imaging, women's imaging, interventional radiology, ultrasound, fluoroscopy, nuclear medicine and pediatrics. A pattern-based approach is used, allowing readers to develop the underlying concepts of image interpretation and then apply it to individual cases. All chapters include 'Don't Miss' boxes to highlight crucial findings. Over 340 high quality annotated images and line drawings are included both in the text and on the included CD. Designed for quick reference on the wards and in the clinics, this structured and easily readable guide fits in a lab coat pocket.
Research Methods in Radiology provides concise, practical insights on how to design clinical and experimental studies in diagnostic imaging. This unique resource encompasses contributions from leaders in academic radiology as well as top epidemiologists, biostatisticians, and librarians with vast multidisciplinary and radiology research experience. The material reflects years of expertise teaching core biostatistics in radiology principles to residents, fellows, radiologists, and epidemiologists. Given the vast amount of published information on research methodology and statistics in radiology, the authors' goal was to write a high-yield review and study tool rather than a comprehensive book. Key topics are succinctly addressed in each chapter, including measurements in radiology; decision analysis in radiology; and systemic reviews, evidence-based imaging, and knowledge translation. Online exercises related to each topic enable residents to prepare for radiology board examinations and research radiologists to apply knowledge to clinical studies. Key Highlights Introductory chapters on analysis of diagnostic tests, linear and logistic regression, meta-analysis, statistical inference, and economic evaluation provide easy-to-follow tutorials Each chapter includes learning objectives, basic concepts, supplementary tables, and ancillary online material Case studies with images, graphs, and tables highlight primary "take home" points Sample size calculations are illustrated for a wide range of research questions Code is included for use in R, free open-source software for statistical analysis This book is an indispensable review of research methodology for radiology students and residents. Practicing clinicians will also benefit from this precisely focused reference tool on clinical and experimental research.
An essential resource for medical imaging professionals, this book provides everything you need to create exceptional radiology reports. In an accessible and informal style, one of the foremost experts on radiology reporting gives you practical tips for precise image interpretation and clear communication. This book should be required reading for radiologists in training, and is destined to become an indispensable part of every radiologist's library. Topics include: * The virtues of "normal" * How to say "I don't know" * Building a rhetorical foundation * Spatial relationships * Making recommendations * Suggesting clinical correlation * The hedge * Severity straddling * Size matters * Eponyms in radiology * A summary of reporting best practices * How speech recognition works * Optimizing your speech recognition * Templates and macros * The history of radiology reporting * Structured reporting case study * Structured reporting: what you can do today * Standard terminology for the radiology report * How to think about imaging information * Logic, probability, and the radiology report * Decision making in radiology * The radiology report in 2025
A state-of-the-art review of key topics in medical image perception science and practice, including associated techniques, illustrations and examples. This second edition contains extensive updates and substantial new content. Written by key figures in the field, it covers a wide range of topics including signal detection, image interpretation and advanced image analysis (e.g. deep learning) techniques for interpretive and computational perception. It provides an overview of the key techniques of medical image perception and observer performance research, and includes examples and applications across clinical disciplines including radiology, pathology and oncology. A final chapter discusses the future prospects of medical image perception and assesses upcoming challenges and possibilities, enabling readers to identify new areas for research. Written for both newcomers to the field and experienced researchers and clinicians, this book provides a comprehensive reference for those interested in medical image perception as means to advance knowledge and improve human health.
** New revised second edition now available, with errors corrected and content fully updated ** The second edition of the classic text has been revised and extended to meet the needs of today’s practising and training MRI technologists who intend to sit for the American Registry of Magnetic Resonance Imaging Technologists (ARMRIT) examination. It provides Q&As on topics listed in the content specifications offered by the American Registry for Radiologic Technologists (AART) and offers the user with a comprehensive review of the principles and applications of MRI to prepare them for the examination.
In the past, for the most part, people who moved into management positions in medical imaging were chosen because they were the best technologists. However, the skill set for technologists and supervisors/managers are vastly different. Even an MBA-educated person may not be ready to take on imaging management. As an example, when buying a very expe
A guide for all radiologists reporting MSK studies. Learn how to improve your speed and how to report more studies faster. In the age of artificial intelligence, this book shows you how to increase your value as a radiologists. The book was not written to teach you MSK, but how to apply your knowledge in a systematic manner to increase your output. Nevertheless, the book is packed with knowledge pearls that the Author acquired during his training in New York (NYU) and Zurich (Balgrist) and from his own research.