Neuroendocrine tumors of the pancreas View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2009-04

AUTHORS

Karen Davies, Kevin C. Conlon

ABSTRACT

Pancreatic endocrine tumors are rare neoplasms accounting for less than 5% of pancreatic malignancies. They are broadly classified into either functioning tumors (insulinomas, gastrinomas, glucagonomas, VIPomas, and somatostatinomas) or nonfunctioning tumors. The diagnosis of these tumors is difficult and requires a careful history and examination combined with laboratory tests and radiologic imaging. Signs and symptoms are usually related to hormone hypersecretion in the case of functioning tumors and to tumor size or metastases with nonfunctioning tumors. Surgical resection remains the treatment of choice even in the face of metastatic disease. Further development of novel diagnostic and treatment modalities offers potential to greatly improve quality of life and prolong disease-free survival for patients with pancreatic endocrine tumors. More... »

PAGES

119-127

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11894-009-0019-1

DOI

http://dx.doi.org/10.1007/s11894-009-0019-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1001031120

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/19281699


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11894-009-0019-1'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11894-009-0019-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11894-009-0019-1'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11894-009-0019-1'


 

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