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Published in: Japanese Journal of Radiology 2/2018

01-02-2018 | Original Article

Accuracy of early CT findings for predicting disease course in patients with acute pancreatitis

Authors: Onur Taydas, Emre Unal, Ali Devrim Karaosmanoglu, Mehmet Ruhi Onur, Erhan Akpinar

Published in: Japanese Journal of Radiology | Issue 2/2018

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Abstract

Purpose

To investigate whether computed tomography (CT)-based scoring systems obtained within 72 h of symptoms onset can predict disease course in acute pancreatitis.

Methods

Between October 2007 and December 2015, 189 patients (age range 21–93 years) who underwent abdominopelvic CT for the diagnosis of acute pancreatitis were included in the study. Balthazar grade and original and modified versions of CT severity index (CTSI) measurements were carried out for each patient.

Results

There were significant associations between each CT based scoring system and development of pancreatic and extrapancreatic complications (p < 0.001). A cutoff value of > 6 for CTSI and > 9 for the modified version of CTSI achieved a specificity of 98.7 and 99.2% for predicting pancreatic and extrapancreatic complications with areas under the curve (AUC) of 0.96 and 0.96, respectively. Balthazar grade of > C yielded a sensitivity of 98.4% for predicting pancreatic and extrapancreatic complications with an AUC of 0.95. The modified version of CTSI had the most significant association with pancreatic and extrapancreatic complications (HR: 3.22; p = 0.002, HR: 2.99, p = 0.003, respectively). Pancreatic necrosis was the only parameter significantly associated with mortality (HR: 5.83, p = 0.045).

Conclusion

Early CT scan has an important role in prediction of complications and the management of acute pancreatitis.
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Metadata
Title
Accuracy of early CT findings for predicting disease course in patients with acute pancreatitis
Authors
Onur Taydas
Emre Unal
Ali Devrim Karaosmanoglu
Mehmet Ruhi Onur
Erhan Akpinar
Publication date
01-02-2018
Publisher
Springer Japan
Published in
Japanese Journal of Radiology / Issue 2/2018
Print ISSN: 1867-1071
Electronic ISSN: 1867-108X
DOI
https://doi.org/10.1007/s11604-017-0709-9

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