Titlebook: Selective Sentinel Lymphadenectomy for Human Solid Cancer; Stanley P. L. Leong,Yuko Kitagawa,Masaki Kitajima Book 2005 Springer-Verlag US

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Sentinel Lymph Node Mapping in Esophageal and Gastric Cancer,r. This chapter reviews the rationale and refined technical aspects for SLN mapping in upper GI cancer for the intraoperative accurate diagnosis of nodal status to perform individualized minimally invasive surgical approaches. We have described the technical details of the procedure as we have perfo

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Credentialing of Nuclear Medicine Physicians, Surgeons, and Pathologists as a Multidisciplinary Teamanagement of solid tumors, multidisciplinary treatments, and novel therapeutic approaches. To achieve these clinical applications, multidisciplinary teamwork with surgeons, nuclear medicine physicians, and pathologists would be critically required. Interdisciplinary issues should be resolved in ord

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Selective Sentinel Lymphadenectomy: Progress to Date and Prospects for the Future, However, it was not until Morton, Cochran et al. published their landmark report in 1992 that the clinical relevance of the SN was fully appreciated. Since then, the validity of the concept has been confirmed in studies undertaken at a number of centers worldwide. It has become clear that SN status

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Credentialing of Nuclear Medicine Physicians, Surgeons, and Pathologists as a Multidisciplinary Teateamwork with surgeons, nuclear medicine physicians, and pathologists would be critically required. Interdisciplinary issues should be resolved in order to develop optimal standard procedures of SLN dissection for various solid tumors.

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0927-3042 ns from experts in the field as how to successfully perform .In human solid cancer, the lymph node (LN) status is the most important prognostic indicator for the clinical outcome of patients. Recent developments in the sentinel lymph node (SLN) concept and technology have resulted in the application

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an be estimated. Since the likelihood equations all have the form of equating sufficient statistics with their expected values, problems only arise if one or more of the sufficient marginals for a model are zero. In this case there clearly will be no solutions to the likelihood equations. Only for t