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DOI: 10.1148/rg.276075001
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RadioGraphics 2007;27:1667-1679
© RSNA, 2007

EDUCATION EXHIBIT

Neuroendocrine Neoplasms of the Gastrointestinal Tract: Classification, Pathologic Basis, and Imaging Features1

Samuel Chang, MD, Dongil Choi, MD, Soon Jin Lee, MD, Won Jae Lee, MD, Mi-hyun Park, MD, Sang Won Kim, MD, Da Keun Lee, MD, and Kee-Taek Jang, MD

From the Department of Radiology and Center for Imaging Science (S.C., D.C., S.J.L., W.J.L., M.P., S.W.K.) and the Department of Diagnostic Pathology (D.K.L., K.-T.J.), Samsung Medical Center, Sungkyunkwan University School of Medicine, 50, Ilwon-Dong, Kangnam-Ku, Seoul 135-710, South Korea. Presented as an education exhibit at the 2005 RSNA Annual Meeting. Received January 4, 2007; revision requested February 5 and received March 15; accepted March 16. All authors have no financial relationships to disclose. Address correspondence to D.C. (e-mail: dichoi{at}smc.samsung.co.kr).

Many radiologists are unfamiliar with the recently developed World Health Organization classification scheme for neuroendocrine tumors. According to this classification scheme, neuroendocrine tumors are divided into well-differentiated endocrine tumors (carcinoids), well-differentiated endocrine carcinomas (malignant carcinoids), and poorly differentiated endocrine carcinomas on the basis of their location, histologic features, and biologic behavior.

Most neuroendocrine tumors have nonspecific imaging characteristics. However, they sometimes have peculiar clinical manifestations and radiologic features, on the basis of which radiologists may infer the specific diagnosis. Neuroendocrine tumors of the gastrointestinal tract originate from the cells derived from the embryonic neural crest, neuroectoderm, and endoderm. They usually produce bioactive substances and show immunoreactivity to neuroendocrine markers.

Although neuroendocrine tumors are uncommon, they should be considered in developing the differential diagnosis for gastrointestinal tumors in patients with a typical syndrome or when the tumors have characteristic imaging features.

© RSNA, 2007






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