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With cancer-related deaths projected to rise to 10.3 million people by 2020, the need to prevent, diagnose, and cure cancer is greater than ever. Cancer Imaging presents readers with the most up-to-date imaging instrumentation, general and diagnostic applications for various cancers, with an emphasis on lung and breast carcinomas--the two major worldwide malignancy types. This book discusses the various imaging techniques used to locate and diagnose tumors, including ultrasound, X-ray, color Doppler sonography, PET, CT, PET/CT, MRI, SPECT, diffusion tensor imaging, dynamic infrared imaging, and magnetic resonance spectroscopy. It also details strategies for imaging cancer, emphasizing the importance of the use of this technology for clinical diagnosis. Imaging techniques that predict the malignant potential of cancers, response to chemotherapy and other treatments, recurrence, and prognosis are also detailed. - Concentrates on the application of imaging technology to the diagnosis and prognosis of lung and breast carcinomas, the two major worldwide malignancies - Addresses the relationship between radiation dose and image quality - Discusses the role of molecular imaging in identifying changes for the emergence and progression of cancer at the cellular and/or molecular levels
Imaging is crucial in the multidisciplinary approach to head and neck cancer management. The rapid technological development of recent years makes it necessary for all members of the multidisciplinary team to understand the potential applications, limitations, and advantages of existing and evolving imaging technologies. It is equally important that the radiologist has sufficient clinical background knowledge to understand the clinical significance of imaging findings. This book provides an overview of the findings obtained using different imaging techniques during the evaluation of head and neck neoplasms, both before and after therapy. All anatomic areas in the head and neck are covered, and the impact of imaging on patient management is discussed in detail. The authors are recognized experts in the field, and numerous high-quality images are included. This second edition provides information on the latest imaging developments in this area, including the application of PET-CT and diffusion-weighted magnetic resonance imaging.
Lung cancer is one of the most common cancers in both men and women worldwide. Early diagnosis of lung cancer can significantly increase the chances of a patient's survival, yet early detection has historically been difficult. As a result, there has been a great deal of progress in the development of accurate and fast diagnostic tools in recent years. Lung Cancer and Imaging provides an introduction to both the methods currently used in lung cancer diagnosis and the promising new techniques that are emerging. Areas covered include the major trends and challenges in lung cancer detection and diagnosis, classification of cancer types, lung feature extraction in joint PET/CT images, and algorithms in the area of low dosage CT lung cancer images.
This open access book focuses on diagnostic and interventional imaging of the chest, breast, heart, and vessels. It consists of a remarkable collection of contributions authored by internationally respected experts, featuring the most recent diagnostic developments and technological advances with a highly didactical approach. The chapters are disease-oriented and cover all the relevant imaging modalities, including standard radiography, CT, nuclear medicine with PET, ultrasound and magnetic resonance imaging, as well as imaging-guided interventions. As such, it presents a comprehensive review of current knowledge on imaging of the heart and chest, as well as thoracic interventions and a selection of "hot topics". The book is intended for radiologists, however, it is also of interest to clinicians in oncology, cardiology, and pulmonology.
This book focuses on major trends and challenges in the detection of lung cancer, presenting work aimed at identifying new techniques and their use in biomedical analysis. This volume covers recent advancements in lung cancer and imaging detection and classification, examining the main applications of computer aided diagnosis relating to lung cancer: lung nodule segmentation, lung nodule classification, and Big Data in lung cancer.
Through a case-based approach, this book illustrates the best practices for all facets of breast cancer imaging – from screening of asymptomatic patients to cancer staging, identifying metastases, and assessing efficacy of treatment – in a succinct, practical source. Contributing authors from a wide range of subspecialties provide well-rounded guidance to meet the needs of today’s multidisciplinary work environment. Presents multidisciplinary discussions on the advantages and/or limitations of all available modalities. Includes advice from leading experts on cross-sectional imaging, breast imaging, and PET/CT, with input from radiation oncology, medical oncology, and breast surgery, to span the complete spectrum of care from screening to diagnosis to treatment, reflecting today’s team approach to patient care. Covers all imaging modalities to help you correlate disease presentations on mammography, CT, MR, US, and PET images. Offers a very practical, clinical, concise approach to the subject in a case-based format. Provides over 1,000 high-resolution images of disease appearance for comparison with the findings you encounter in your practice.
This book covers novel strategies and state of the art approaches for automated non-invasive systems for early prostate cancer diagnosis. Prostate cancer is the most frequently diagnosed malignancy after skin cancer and the second leading cause of cancer related male deaths in the USA after lung cancer. However, early detection of prostate cancer increases chances of patients’ survival. Generally, The CAD systems analyze the prostate images in three steps: (i) prostate segmentation; (ii) Prostate description or feature extraction; and (iii) classification of the prostate status. Explores all of the latest research and developments in state-of-the art imaging of the prostate from world class experts. Contains a comprehensive overview of 2D/3D Shape Modeling for MRI data. Presents a detailed examination of automated segmentation of the prostate in 3D imaging. Examines Computer-Aided-Diagnosis through automated techniques. There will be extensive references at the end of each chapter to enhance further study.
Interventional radiology plays an increasingly significant role in the clinical management of patients with cancer, replacing more invasive traditional methods and making it possible to deal with previously untreatable conditions. This state-of-the-art book describes the techniques currently used by interventional radiologists in the treatment and palliation of a variety of malignant conditions. Throughout, the emphasis is on practical issues. Every chapter has been written by a world expert in the topic concerned. This book will serve as an authoritative source of information and will be invaluable to those using interventional radiological techniques in the treatment of patients with malignant disease.
This is one of the first books to deal specifically with diagnostic imaging of the entire spectrum of kidney cancers. Both new and conventional imaging modalities are fully considered. After an introductory chapter on the histopathological classification of kidney cancers, the advantages and disadvantages of the various imaging modalities used in the diagnosis and assessment of disease extension are documented. Subsequent chapters offer an exhaustive description of the radiological features of the different histological subtypes of kidney cancer, with radiological and histological illustrations and tables. The latest innovations in interventional and minimally invasive procedures are also well covered. The book benefits from carefully chosen and technically excellent images. Each of the 24 chapters is written by an internationally acclaimed expert, making this book the most current and complete treatment of the subject available. It should be of great interest to radiologists, oncologists, and urologists.
This book collates past and current research on one of the most promising emerging modalities for breast cancer detection. Readers will discover how, as a standalone technology or in conjunction with another modality, microwave imaging has the potential to provide reliable, safe and comfortable breast exams at low cost. Current breast imaging modalities include X- ray, Ultrasound, Magnetic Resonance Imaging, and Positron Emission Tomography. Each of these methods suffers from limitations, including poor sensitivity or specificity, high cost, patient discomfort, and exposure to potentially harmful ionising radiation. Microwave breast imaging is based on a contrast in the dielectric properties of breast tissue that exists at microwave frequencies. The book begins by considering the anatomy and dielectric properties of the breast, contrasting historical and recent studies. Next, radar-based breast imaging algorithms are discussed, encompassing both early-stage artefact removal, and data independent and adaptive beamforming algorithms. In a similar fashion, microwave tomographic reconstruction algorithms are reviewed in the following chapter, introducing the reader to both the fundamental and more advanced algorithms. Apart from imaging, the book also reviews research efforts in extracting clinically useful information from the Radar Target Signature of breast tumours, which is used to classify tumours as either benign or malignant. Finally, the book concludes by describing the current state of the art in terms of prototype microwave breast imaging systems, with a particular emphasis on those which have progressed to the clinical evaluation stage. This work is motivated by the fact that breast cancer is one of the leading causes of death amongst women in Europe and the US, and the second most common cancer in the world today. Such an important area of research will appeal to many scholars and practitioners.p>