↓ Skip to main content

Pancreatic neuroendocrine tumor: review of heterogeneous spectrum of CT appearance

Overview of attention for article published in Abdominal Radiology, March 2018
Altmetric Badge

Mentioned by

twitter
4 X users
facebook
1 Facebook page

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
19 Mendeley
Title
Pancreatic neuroendocrine tumor: review of heterogeneous spectrum of CT appearance
Published in
Abdominal Radiology, March 2018
DOI 10.1007/s00261-018-1574-4
Pubmed ID
Authors

Nam Ju Lee, Ralph H. Hruban, Elliot K. Fishman

Abstract

Pancreatic neuroendocrine tumors (PanNETs) are uncommon pancreatic neoplasms and can be a diagnostic challenge with heterogeneous spectrum of CT appearance. We review CT findings of PanNETs and other mimics. PanNETs are typically hypervascular and have avid enhancement on arterial and venous phase images. However, dedicated pancreas protocol may be needed due to their sometimes atypical appearance including transient enhancement. Careful evaluation of CT findings will help differentiate PanNETs from their mimics, and can be used to establish the diagnosis of a PanNETs. Although an accurate diagnosis can be based on serological, urine, and CT scan findings, confirmation is made via pathological examination.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 16%
Researcher 3 16%
Student > Master 3 16%
Student > Bachelor 2 11%
Professor > Associate Professor 2 11%
Other 2 11%
Unknown 4 21%
Readers by discipline Count As %
Medicine and Dentistry 10 53%
Biochemistry, Genetics and Molecular Biology 2 11%
Linguistics 1 5%
Immunology and Microbiology 1 5%
Chemistry 1 5%
Other 0 0%
Unknown 4 21%