Document Detail

Role of fat-suppressed t1-weighted magnetic resonance imaging in predicting severity and prognosis of acute pancreatitis: an intraindividual comparison with multidetector computed tomography.
MedLine Citation:
PMID:  19820487     Owner:  NLM     Status:  MEDLINE    
OBJECTIVE: To determine the diagnostic value of magnetic resonance (MR) grading focusing on elevated signal on T1-weighted images in the prediction of severity and prognosis of acute pancreatitis as compared with the Balthazar computed tomography (CT) grading. MATERIALS: Thirty-one patients with acute pancreatitis who underwent CT and MR imaging including fat-suppressed T1-weighted images within a 48-hour interval were included in this study. The severity of pancreatitis was evaluated by 2 observers using the Balthazar CT grading system and an MR grading system that is focused on an elevated signal on T1-weighted images. The MR grading was correlated with the CT grading, and each MR or CT grade was compared with patient outcome parameters, including the duration of hospitalization, local and systemic complications, and clinical outcome grading. RESULTS: There was a significant correlation between CT and MR gradings for pancreatic or peripancreatic inflammation (r = 0.688, P < 0.01). However, for all of the outcome parameters and outcome grading, a stronger correlation was seen with the MR grading than with the CT grading. No significant correlation was found between CT grading and infected necrosis (r = 0.316, P = 0.083). CONCLUSIONS: Magnetic resonance imaging including fat-suppressed T1-weighted images is more accurate to predict the severity and prognosis of acute pancreatitis in comparison with CT.
Young Kon Kim; Chong Soo Kim; Young Min Han
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of computer assisted tomography     Volume:  33     ISSN:  1532-3145     ISO Abbreviation:  J Comput Assist Tomogr     Publication Date:    2009 Sep-Oct
Date Detail:
Created Date:  2009-10-12     Completed Date:  2009-11-02     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7703942     Medline TA:  J Comput Assist Tomogr     Country:  United States    
Other Details:
Languages:  eng     Pagination:  651-6     Citation Subset:  IM    
Department of Diagnostic Radiology, Chonbuk National University Hospital and Medical School, Jeonju, South Korea.
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MeSH Terms
Acute Disease
Image Enhancement / methods
Length of Stay
Magnetic Resonance Imaging / methods*
Middle Aged
Outcome Assessment (Health Care)
Pancreas / pathology,  radiography
Pancreatitis / diagnosis*
Retrospective Studies
Severity of Illness Index
Tomography, X-Ray Computed / methods*

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