Avital Harari1, William B Inabnet. 1. Department of Surgery, Division of Endocrine Surgery of University of California, San Francisco, CA 94115, USA. avitalharari@gmail.com
Abstract
BACKGROUND: Pheochromocytomas are rare catecholamine-secreting tumors. Approximately 10 percent of pheochromocytomas are malignant. Traditionally, there has been no reliable method available to predict the malignant potential of pheochromocytoma. However, recent research has increased focus on differentiating at the time of surgery/diagnosis those pheochromocytoma tumors which have malignant potential. In this review, we discuss the current information known of malignant pheochromocytomas. DATA SOURCES: The PubMed database was searched for articles on malignant pheochromocytoma published between 1993 and 2010. CONCLUSIONS: The difficult task of predicting the malignant potential of a pheochromocytoma has yet to be answered definitively. However, all the studies presented give an idea of what we may look for in these tumors at the time of diagnosis. We have provided an algorithm based on the most current information known. A much larger study should be performed to test many of these theories with enough power to determine a standard of care. Published by Elsevier Inc.
BACKGROUND:Pheochromocytomas are rare catecholamine-secreting tumors. Approximately 10 percent of pheochromocytomas are malignant. Traditionally, there has been no reliable method available to predict the malignant potential of pheochromocytoma. However, recent research has increased focus on differentiating at the time of surgery/diagnosis those pheochromocytoma tumors which have malignant potential. In this review, we discuss the current information known of malignant pheochromocytomas. DATA SOURCES: The PubMed database was searched for articles on malignant pheochromocytoma published between 1993 and 2010. CONCLUSIONS: The difficult task of predicting the malignant potential of a pheochromocytoma has yet to be answered definitively. However, all the studies presented give an idea of what we may look for in these tumors at the time of diagnosis. We have provided an algorithm based on the most current information known. A much larger study should be performed to test many of these theories with enough power to determine a standard of care. Published by Elsevier Inc.
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