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Primary Central Nervous System Tumors
This comprehensive, yet practical, text is a ready collection of the most up-to-date information on primary CNS tumors. Authored by a carefully selected group of the world’s leading clinicians and scientists, the book is divided into three sections. The opening chapters cover general principles, including epidemiology, pathogenesis, tumor stem cells, supportive care, complications of therapy, and quality of life. The remaining two sections are comprised of treatment-oriented chapters covering the spectrum of gliomas and rarer tumor types. Each of these chapters presents multi-disciplinary therapeutic approaches and addresses specific disease concerns. Throughout, the authors incorporate the cutting-edge advances in molecular biology and genomics that are revolutionizing neuro-oncology. The result is an important clinical resource which provides evidence-based data and interpretation essential to intelligent therapeutic decision making.
Radiobiology Self-Assessment Guide
Radiobiology Self-Assessment Guide--a companion to the Radiation Oncology Self-Assessment Guide and Physics in Radiation Oncology Self-Assessment Guide--is a comprehensive review for practitioners of radiation oncology looking to enhance their knowledge of radiobiology. It covers in depth the principles of radiobiology as applied to radiation oncology along with their clinical applications. To foster retention of key concepts and data, the resource utilizes a user-friendly "flash card" question and answer format with over 700 questions. The questions are supported by detailed answers and rationales along with reference citations for source information. The guide is comprised of 29 chapters a...
Essentials of Clinical Radiation Oncology
Essentials of Clinical Radiation Oncology is a comprehensive, user-friendly clinical review that summarizes up-to-date cancer care in an easy-to-read format. Each chapter is structured for straightforward navigability and information retention beginning with a “quick-hit” summary that contains an overview of each disease, its natural history, and general treatment options. Following each "quick-hit" are high-yield summaries covering epidemiology, risk factors, anatomy, pathology, genetics, screening, clinical presentation, workup, prognostic factors, staging, treatment paradigms, and medical management for each malignancy. Each treatment paradigm section describes the current standard of...
Advances in Oncology, E-Book 2021
This premier volume of Advances in Oncology highlights the latest findings and updates within the cancer field each year for the practicing oncologist. Advances in Oncology publishes the most current thinking and recent advances from the voice of a truly distinguished editorial board, including Editor-in-Chief Leonidas C. Platanias, who identify current advances and breakthroughs in the field and invite specialists to contribute original articles on these topics. Topics discussed in this first volume are within the areas of radiation oncology, surgical oncology, medical oncology, gynecologic oncology, pediatric oncology, neuro-oncology, hemato-oncology, uro-oncology, and gastrointestinal oncology. This volume will appeal to all practicing oncologists and will inform and enhance clinical practice.
Oral, Head and Neck Oncology and Reconstructive Surgery - E-Book
Oral, Head and Neck Oncology and Reconstructive Surgery is the first multidisciplinary text to provide readers with a system for managing adult head and neck cancers based upon stage. Using an evidence-based approach to the management and treatment of a wide variety of clinical conditions, the extensive experience of the author and contributors in head and neck surgery and oncology are highlighted throughout the text. This includes computer aided surgical simulation, intraoperative navigation, robotic surgery, endoscopic surgery, microvascular reconstructive surgery, molecular science, and tumor immunology. In addition, high quality photos and illustrations are included, which are easily acc...
Physics in Radiation Oncology Self-Assessment Guide
This companion guide to the Radiation Oncology Self-Assessment Guide is an excellent resource for any radiotherapy team member looking to hone their medical physics knowledge. It covers in depth the principles of radiation physics as applied to radiation therapy along with their technical and clinical applications. To foster retention of key concepts and data, the resource utilizes a user-friendly ìflash cardî question and answer format with over 800 questions. The questions are supported by detailed answers and rationales along with reference citations for source information.
100 Questions & Answers about Mesothelioma
Whether you're a newly diagnosed Mesothelioma patient, a survivor,or a friend or relative of either, this book offers help. The only book to provide the doctor's and patient's views, 100 Questions & Answers About Mesothelioma gives you authoritative, practical answers to your questions about treatment options, post-treatment quality of life, sources of support, legal options, and much more. This outstanding team of authors -- led by a world-class lung disease expert -- provides an invaluable resource for anyone coping with the physical and emotional turmoil of this frightening disease.
Detection Systems in Lung Cancer and Imaging, Volume 1
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 (CAD) relating to lung cancer: lung nodule segmentation, lung nodule classification, and Big Data in lung cancer. Ideal for academics working in lung cancer, data-mining, machine learning, deep learning and reinforcement learning, as well as industry professionals working in the areas of healthcare, lung cancer imaging, machine learning, deep learning and reinforcement learning, this edited collection comprises an essential reference for researchers at the forefront of the field, and provides a high-level entry point for more advanced students. Key Features: -Unique focus on advance work in detection system and classification systems. -An updated reference for lung cancer detection via imaging. -Focus on progressive deep learning and machine learning applications for more effective detection.
