Pet Ct In Head And Neck Cancer

This pocket book is an up-to-date guide to the diagnostic imaging of head and neck cancers. The focus is particularly on FDG PET/CT, with coverage of the basic principles, clinical indications, typical and atypical appearances, normal variations and artifacts, advantages, limitations, and pitfalls. Consideration is also given to emerging roles for PET/CT in head and neck cancer, including radiotherapy planning and treatment response monitoring, and to radiotracers beyond FDG. In addition, succinct information is provided on clinical presentation, diagnosis, staging, pathology, management, and other diagnostic imaging techniques. A brief discourse on the practice of guideline adoption is included. The book is published within the Springer series Clinicians’ Guides to Radionuclide Hybrid Imaging (compiled under the auspices of the British Nuclear Medicine Society) and will be an excellent asset for clinicians, nuclear medicine physicians, radiologists, radiographers, technologists, and nurses who work in the field of head and neck cancer.

PET/CT is an integral part of the evaluation of patients who have head and neck cancer. In this issue, the state of the art in PET/CT imaging is discussed. The issue starts with an overview of FDG-PET/CT, PET and MRI for normal anatomy, including pitfalls and artifacts. This topic is followed by a review of FDG-PET/CT for initial and subsequent therapy evaluation; progressing to PET and MRI. Other articles discuss SUV as a prognostic factor in head and neck squamous cell carcinoma, PET in head and neck cancer radiotherapy treatment planning, PET in decision making for neck dissection after radiation treatment, and newer methods for improving yield from FDG-PET imaging for accurate staging, determining tumor biology, and assessing prognosis. The issue focuses on some of the most cutting-edge applications, such as new tracers PET in head and neck squamous cell carcinoma (including FLT and hypoxia imaging). PET scans in thyroid cancer is also discussed.

This open access book summarizes the findings of recent evidence-based articles (meta-analyses) on the use of positron emission tomography (PET) for various clinical indications. It is divided into five main sections, starting with an introduction to PET and meta-analysis. In turn, the second part addresses evidence-based PET in oncology, providing a broad overview of its use for different types of tumours. The remaining sections are focused on the use of PET in cardiology, in infectious and inflammatory diseases, and in neurology, respectively. Given its scope and the wealth of information it provides, the book will be an invaluable tool for clinicians with various specialties, as well as international scientific societies interested to the recent evidence-based data about PET.

Emphasizing practical technique over underlying physics, this book discusses the use of PET/CT imaging in lung, lymphoma, esophageal, colorectal, head/neck and melanoma, and tumors of the reproductive system. Each chapter offers a summary of the appropriate staging system, and a full chapter is devoted to the range of normal PET/CT appearances. Focusing primarily on FDG-PET/CT, the text includes a review of future application of other positron emitters, and a beginners guide to the physics of PET/CT. Concise, relevant and illustrated with many detailed PET/CT images, it is essential reading for consultants and medical students in radiology, nuclear medicine and oncology.

Over the past decade, PET-CT has achieved great success owing to its ability to simultaneously image structure and function, and show how the two are related. More recently, PET-MRI has also been developed, and it represents an exciting novel option that promises to have applications in oncology as well as neurology. The first part of this book discusses the basics of these dual-modality techniques, including the scanners themselves, radiotracers, scan performance, quantitation, and scan interpretation. As a result, the reader will learn how to perform the techniques to maximum benefit. The second part of the book then presents in detail the PET-CT and PET-MRI findings in cancers of the different body systems. The final two chapters address the use of PET/CT in radiotherapy planning and examine areas of controversy. The authors are world-renowned experts from North America, Europe, and Australia, and the lucid text is complemented by numerous high-quality illustrations.

This issue discusses the newest approaches to PET/CT Imaging. The roles of PET/CT in pulmonary masses, GI malignancies, head and neck cancer, lymphoma, soft tissue sarcoma, pancreatic and biliary tree malignancies, malignant melanoma, breast carcinoma, common pediatric malignancies, bone malignancies, and the role PET/CT plays in radiation oncology treatment planning are reviewed.

Clinical studies during the past 10 years have shown that PET is more sensitive than CT and MRI for the detection of many tumors. In many cases, however, for example in head and neck tumors, combination with radiological procedures is necessary. It may be speculated that PET should be the first study in a malignant tumor when metastatic spread is suspected. MRI and CT may then be restricted to those body areas which evince sites of increased glucose metabolism. Thus, a combination of metabolic and morphologic procedures will enhance tumor detection and change the therapeutic strategy. In this light, an atlas including PET, CT, MRI, and histology data seems desirable to combine metabolic and morphologic imaging. This book presents an overview of the available data which should be of great interest not only for specialists in radiology and nuclear medicine, but also for oncologists.

This book constitutes the First 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2020, which was held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The challenge took place virtually due to the COVID-19 pandemic. The 2 full and 8 short papers presented together with an overview paper in this volume were carefully reviewed and selected form numerous submissions. This challenge aims to evaluate and compare the current state-of-the-art methods for automatic head and neck tumor segmentation. In the context of this challenge, a dataset of 204 delineated PET/CT images was made available for training as well as 53 PET/CT images for testing. Various deep learning methods were developed by the participants with excellent results.