Contemporary Medical Imaging – serie

While specialists often guide the care to lung cancer patients, it is often a general radiologist who is left to interpret studies that impact patient care and management. Lung Cancer Imaging provides a comprehensive guide to the diagnosis, staging and overview of the management of lung cancer relevant to practicing radiologists so that they can better understand the decision making issues and provide more directed and useful communication to the treating physicians. It Primary Care physicians will also find this book valuable to understand the relevant issues that they face when one of their patients is being treated for lung cancer.

Imaging of the airways is a fascinating undertaking and, if done expertly, a true art in medicine. Over the past years, imaging of the airways has become ever more exciting and demanding, as new therapies in pulmonary medicine have become available that require careful imaging assessment of patients to aid management and monitor therapeutic success. The increasing importance of imaging in pulmonary medicine is accompanied by a surge of revolutionary developments in imaging technology that enable ever finer assessment of lung structure and function. No modality has seen more rapid innovation over the last decade than computed tomography. Current multidetector-row CT technology makes high-resolution imaging of the chest with a spatial resolution of a couple of 100 m in a matter of mere seconds. Ever more sophisticated post-processing applications enable intuitive, quantitative assessment of lung structure and function in an efficient manner, so that these technologies are increasingly embraced in mainstream medicine to improve patient care. CT of the Airways, which was so expertly assembled by my dear friends Phil Boiselle and David Lynch, is one of the very first tomes that pays tribute to our new found prowess in airway imaging.

This book is a comprehensive and richly-illustrated guide to cardiac CT, its current state, applications, and future directions. While the first edition of this text focused on what was then a novel instrument looking for application, this edition comes at a time where a wealth of guideline-driven, robust, and beneficial clinical applications have evolved that are enabled by an enormous and ever growing field of technology. Accordingly, the focus of the text has shifted from a technology-centric to a more patient-centric appraisal. While the specifications and capabilities of the CT system itself remain front and center as the basis for diagnostic success, much of the benefit derived from cardiac CT today comes from avant-garde technologies enabling enhanced visualization, quantitative imaging, and functional assessment, along with exciting deep learning, and artificial intelligence applications. Cardiac CT is no longer a mere tool for non-invasive coronary artery stenosis detectionin the chest pain diagnostic algorithms; cardiac CT has proven its value for uses as diverse as personalized cardiovascular risk stratification, prediction, and management, diagnosing lesion-specific ischemia, guiding minimally invasive structural heart disease therapy, and planning cardiovascular surgery, among many others. This second edition is an authoritative guide and reference for both novices and experts in the medical imaging sciences who have an interest in cardiac CT.

While specialists often guide the care to lung cancer patients, it is often a general radiologist who is left to interpret studies that impact patient care and management. Lung Cancer Imaging provides a comprehensive guide to the diagnosis, staging and overview of the management of lung cancer relevant to practicing radiologists so that they can better understand the decision making issues and provide more directed and useful communication to the treating physicians. It Primary Care physicians will also find this book valuable to understand the relevant issues that they face when one of their patients is being treated for lung cancer.

Imaging of the adrenal gland has made tremendous progress in the last decade as new technologies continue to evolve. Adrenal Imaging highlights the pertinent clinical and pathological information that underpins the accurate interpretation and use of adrenal imaging. Written by a prestigious group of international contributors, individual chapters in Adrenal Imaging serve as a relevant and up-to-date reference of adrenal imaging findings, algorithms and techniques in CT, MR nuclear medicine, intervention and trauma. Summary sections at the end of each chapter illuminate key teaching points to enhance retention.

Imaging of the adrenal gland has made tremendous progress in the last decade as new technologies continue to evolve. Adrenal Imaging highlights the pertinent clinical and pathological information that underpins the accurate interpretation and use of adrenal imaging. Written by a prestigious group of international contributors, individual chapters in Adrenal Imaging serve as a relevant and up-to-date reference of adrenal imaging findings, algorithms and techniques in CT, MR nuclear medicine, intervention and trauma. Summary sections at the end of each chapter illuminate key teaching points to enhance retention.

This book provides an overview of current and potential applications of artificial intelligence (AI) for cardiothoracic imaging. Most AI systems used in medical imaging are data-driven and based on supervised machine learning. Clinicians and AI specialists can contribute to the development of an AI system in different ways, focusing on their respective strengths. Unfortunately, communication between these two sides is far from fluent and, from time to time, they speak completely different languages. Mutual understanding and collaboration are imperative because the medical system is based on physicians’ ability to take well-informed decisions and convey their reasoning to colleagues and patients.This book offers unique insights and informative chapters on the use of AI for cardiothoracic imaging from both the technical and clinical perspective. It is also a single comprehensive source that provides a complete overview of the entire process of the development and use of AI in clinical practice for cardiothoracic imaging. The book contains chapters focused on cardiac and thoracic applications as well more general topics on the potentials and pitfalls of AI in medical imaging. Separate chapters will discuss the valorization, regulations surrounding AI, cost-effectiveness, and future perspective for different countries and continents. This book is an ideal guide for clinicians (radiologists, cardiologists etc.) interested in working with AI, whether in a research setting developing new AI applications or in a clinical setting using AI algorithms in clinical practice. The book also provides clinical insights and overviews for AI specialists who want to develop clinically relevant AI applications.

This book provides an overview of current and potential applications of artificial intelligence (AI) for cardiothoracic imaging. Most AI systems used in medical imaging are data-driven and based on supervised machine learning. Clinicians and AI specialists can contribute to the development of an AI system in different ways, focusing on their respective strengths. Unfortunately, communication between these two sides is far from fluent and, from time to time, they speak completely different languages. Mutual understanding and collaboration are imperative because the medical system is based on physicians’ ability to take well-informed decisions and convey their reasoning to colleagues and patients.This book offers unique insights and informative chapters on the use of AI for cardiothoracic imaging from both the technical and clinical perspective. It is also a single comprehensive source that provides a complete overview of the entire process of the development and use of AI in clinical practice for cardiothoracic imaging. The book contains chapters focused on cardiac and thoracic applications as well more general topics on the potentials and pitfalls of AI in medical imaging. Separate chapters will discuss the valorization, regulations surrounding AI, cost-effectiveness, and future perspective for different countries and continents. This book is an ideal guide for clinicians (radiologists, cardiologists etc.) interested in working with AI, whether in a research setting developing new AI applications or in a clinical setting using AI algorithms in clinical practice. The book also provides clinical insights and overviews for AI specialists who want to develop clinically relevant AI applications.