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Title: Algorithm-based approach to hypervascular pancreatic lesions
Authors: Leow, Kheng Song
Chieng, Julian Sau Lian
Low, Hsien Min
Lim, Kian Soon
Kwek, Jin Wei
Lim, Tze Chwan
Tan, Cher Heng
Keywords: Science::Medicine
Issue Date: 2021
Source: Leow, K. S., Chieng, J. S. L., Low, H. M., Lim, K. S., Kwek, J. W., Lim, T. C. & Tan, C. H. (2021). Algorithm-based approach to hypervascular pancreatic lesions. Singapore Medical Journal, 62(3), 113-119.
Journal: Singapore Medical Journal 
Abstract: Incidental pancreatic lesions are increasingly being detected due to the increasing use of cross-sectional imaging such as computed tomography (CT) and magnetic resonance (MR) imaging. These pancreatic lesions can be broadly categorised into hypervascular and hypovascular lesions by comparing the degree of lesion enhancement to the background pancreatic parenchymal enhancement. For practicality, we define pancreatic lesions as hypervascular when they show enhancement greater or equal to that of the pancreatic parenchyma on either CT or MR imaging vis-a-vis hypovascular lesions, which characteristically enhance less than the background pancreatic parenchyma. Hypovascular lesions have been widely described, including ductal adenocarcinoma and chronic focal pancreatitis.(1) A few prior published reviews related to hypervascular pancreatic masses have focused on the differential entities or their malignant potential.(2,3) To the best of our knowledge, there is a lack of an algorithm-based approach that enables general radiologists to prospectively differentiate the various hypervascular pancreatic lesions, as presented in this pictorial essay. We further discuss the pertinent radiologic pathologic features of each differential diagnosis and illustrate them using individual case examples.
ISSN: 0037-5675
DOI: 10.11622/smedj.2021027
Rights: © 2021 Singapore Medical Association. All rights reserved. This paper was published in Singapore Medical Journal and is made available with permission of Singapore Medical Association.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:LKCMedicine Journal Articles

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