Background Acute pancreatitis (AP) is the most common disease of the canine exocrine pancreas, and accurate noninvasive diagnosis is challenging. Hypothesis/Objectives To determine the feasibility of using quantitative contrast‐enhanced ultrasonography (CEUS) to detect pancreatic perfusional changes in cerulein‐induced AP in dogs. Animals Six adult female Beagles. Methods Each dog received 2 hours of IV infusion with 7.5 μg/kg/h of cerulein diluted in saline. As control, all dogs received 2 hours of IV infusion of saline 2 weeks before cerulein infusion. CEUS of the pancreas and duodenum were performed before (0 hour), and at 2, 4, 6, and 12 hours after saline and cerulein infusion. Time‐intensity curves were created from regions of interest in the pancreas and duodenum. Five perfusional parameters were measured for statistical analysis: time to initial up‐slope, peak time, time to wash‐out, peak intensity (PI), and area under the curve (AUC). Results In cerulein‐induced AP, pancreatic PI increased at 2 and 4 hours when compared to 0 hour, and at 2, 4, and 6 hours when compared to control. AUC increased at 4 hours when compared to 0 hour, and at 2 and 4 hours when compared to control. Time to wash‐out was prolonged at 4 hours when compared to control. For saline control, peak time was faster at 2 hours when compared to 0 hour. Conclusions and Clinical Importance CEUS parameters PI and AUC can provide useful information in differentiating acute pancreatitis from normal pancreas. Cerulein‐induced AP was characterized by prolonged hyperechoic enhancement on CEUS.
Qualitative and Quantitative Contrast‐Enhanced Ultrasonographic Assessment of Cerulein‐Induced Acute Pancreatitis in Dogs
S. Lim,Kensuke Nakamura,K. Morishita,N. Sasaki,Masahiro Murakami,T. Osuga,H. Ohta,M. Yamasaki,M. Takiguchi
Published 2014 in Journal of Veterinary Internal Medicine
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- Publication year
2014
- Venue
Journal of Veterinary Internal Medicine
- Publication date
2014-02-24
- Fields of study
Medicine
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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