An algorithmic approach to the diagnosis of pancreatic neoplasms Journal Article


Authors: Klimstra, D. S.; Pitman, M. B.; Hruban, R. H.
Article Title: An algorithmic approach to the diagnosis of pancreatic neoplasms
Abstract: Context. - The pancreas gives rise to an array of distinct neoplasms that can be solid, cystic, or intraductal and can recapitulate the various lines of differentiation present in the normal gland. Objective. - To develop an algorithmic approach to the diagnosis of pancreatic neoplasms that simplifies their pathologic evaluation. Data Sources. - We reviewed literature related to the classification of pancreatic neoplasms on the basis of their gross, histologic, and immunohistochemical features. Conclusions. - By using a series of dichotomous decisions, the differential diagnosis of a pancreatic neoplasm can be narrowed, and in cases of the more common neoplasms, accurate classification can be achieved. Uncommon neoplasms not accounted for by this approach are also discussed, and the additional diagnostic information needed for complete pathologic reporting is presented.
Keywords: immunohistochemistry; clinical feature; histopathology; review; pancreatic neoplasms; diagnostic accuracy; diagnosis, differential; differential diagnosis; diagnostic approach route; cell differentiation; algorithms; algorithm; pancreas tumor; tumor classification
Journal Title: Archives of Pathology & Laboratory Medicine
Volume: 133
Issue: 3
ISSN: 0003-9985
Publisher: College of American Pathologists  
Date Published: 2009-03-01
Start Page: 454
End Page: 464
Language: English
PUBMED: 19260750
PROVIDER: scopus
DOI/URL:
Notes: --- - "Cited By (since 1996): 1" - "Export Date: 30 November 2010" - "CODEN: ARPAA" - "Source: Scopus"
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MSK Authors
  1. David S Klimstra
    978 Klimstra