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The practical application of the sentinel node concept is evaluated in this book. The concept is analyzed for breast cancer, malignant melanoma, tumors of the face, oropharynx, lung, gastrointestinal and urogenital tract. The first part of the book describes the function and use of the nuclear medicine equipment, the tracers used, colloid solutions and modern developments in histological and immunohistochemical lymph node investigations, as well as possible pitfalls. In the second part, specific tumor-related problems are described.
Like the Sobotta Atlas of Anatomy, this textbook guides students through the anatomy in a clear, structured manner that is easy to remember. Sobotta excels at comprehensibly explaining the fascinating world of anatomy and carries you safely through every test and your initial patient interactions. - Clinical Cases: Presents a relevant practical medical case as it will be encountered during rotation - Question time in the Surgery Room: Highlight how students can gain valuable insights into a case by taking structured notes during the patient's examination - Clinical Remarks: Indicate functional and clinical aspects that help to identify a topic's relevance and put it in context for subsequent patient diagnosis and treatment - Skills Boxes: Provide a quick overview of competency-based study objectives, providing knowledge useful in exams and applicable to future professional practice - Note Boxes: Highlight particularly important exam knowledge to be retained throughout the book - Interconnected Knowledge: Fosters contextualised learning by linking macroscopic anatomy, where relevant, to embryology
Cancer is a group of different diseases (more than 100) characterised by uncontrolled growth and spread of abnormal cells. Cancer can arise in many sites and behave differently depending on its organ of origin. If a cancer spreads (metastasises), the new tumour bears the same name as the original (primary) tumour. Significant progress has been made in recent years in the battle against cancer and in understanding its underlying biological mechanisms. This research progress has resulted in many experimental treatments and cures. This book presents new and important research from around the world.
This volume presents 45 articles dealing with theoretical aspects, methodo logical advances and practical applications in domains relating to classifica tion and clustering, statistical and computational data analysis, conceptual or terminological approaches for information systems, and knowledge struc tures for databases. These articles were selected from about 140 papers presented at the 19th Annual Conference of the Gesellschaft fur Klassifika tion, the German Classification Society. The conference was hosted by W. Polasek at the Institute of Statistics and Econometry of the University of 1 Basel (Switzerland) March 8-10, 1995 . The papers are grouped as follows, where the number in paren...
Das gesamte Facharztwissen klar strukturiert – zum schnellen Nachschlagen im klinischen Alltag und zur gezielten Vorbereitung auf die Facharztprüfung. Umfassende Darstellung von Epidemiologie, Histologie, Klassifikation, Diagnostik und Differenzialdiagnose der einzelnen Erkrankungen Detaillierte Angaben zur Therapie mit Behandlungsalgorithmen und differenzierten Therapieschemata Integration der neuesten WHO-Klassifikation sowie aktueller Leitlinien Ausführliche Informationen zu allen zugelassenen antineoplastischen Substanzen mit besonderer Berücksichtigung der modernen zielgerichteten Therapeutika Inklusive Schmerztherapie, Substitutionstherapie und anderen supportiven Behandlungsmaßnahmen Neu in der 2. Auflage Eigenes Kapitel zum CUP-Syndrom
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Bayesian Approaches in Oncology Using R and OpenBUGS serves two audiences: those who are familiar with the theory and applications of bayesian approach and wish to learn or enhance their skills in R and OpenBUGS, and those who are enrolled in R and OpenBUGS-based course for bayesian approach implementation. For those who have never used R/OpenBUGS, the book begins with a self-contained introduction to R that lays the foundation for later chapters. Many books on the bayesian approach and the statistical analysis are advanced, and many are theoretical. While most of them do cover the objective, the fact remains that data analysis can not be performed without actually doing it, and this means u...