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Current knowledge on diagnosis and staging of neuroendocrine tumors
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences. (Kjell Öberg)
2011 (English)In: Cancer Metastasis Review, ISSN 0167-7659, E-ISSN 1573-7233, Vol. 30, no 1, 3-7 p.Article, review/survey (Refereed) Published
Abstract [en]

Neuroendocrine tumors (NETs) consist of a heterogeneous group of malignancies with various clinical presentations and growth rates. The incidence has been estimated to 2.5-5 per 100,000 people per year and prevalence of 35 per 100,000. The largest group is the gastroenteropancreatic NETs. Small intestinal NETs are the most common followed by pancreatic NETs in the gastrointestinal tract. A classification system (World Health Organization) was established in year 2000 and recently updated in 2010, taking into consideration the histopathology and tumor biology of the tumors. To further refine the classification a "tumor node metastasis" staging has been suggested by the European Neuroendocrine Tumor Society. The same organization has also proposed a grading system (G1, G2, and G3). The diagnosis of a NET is based on histopathology on tumor specimens, circulating biomarkers as well as imaging. Traditional radiology, such as computerized tomography and magnetic resonance imaging, is still the basis but is complemented with somatostatin receptor scintigraphy and positron emission tomography with specific isotopes such (68)Ga-DOTA-octreotate, F18-dopamine, or C11-5 hydroxytryptamine. Molecular imaging will increase in importance in the near future. There is still an unmet need for more sensitive biomarkers for diagnosis and follow-up.

Place, publisher, year, edition, pages
2011. Vol. 30, no 1, 3-7 p.
Keyword [en]
Biomarkers, GEP-NETs, Molecular imaging, Neuroendocrine tumor, TNM staging, WHO classification
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:uu:diva-147295DOI: 10.1007/s10555-011-9292-1ISI: 000288255900002PubMedID: 21311954OAI: oai:DiVA.org:uu-147295DiVA: diva2:400132
Available from: 2011-02-24 Created: 2011-02-24 Last updated: 2017-12-11Bibliographically approved

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