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Cited by 1,696

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Acute pancreatitis: value of CT in establishing prognosis.

Balthazar, E J, Robinson, D L, Megibow, A J, Ranson, J H·1990·Radiology

Abstract

The presence and degree of pancreatic necrosis (30%, 50%, or greater than 50%) was evaluated by means of bolus injection of contrast material and dynamic sequential computed tomography (CT) in 88 patients with acute pancreatitis at initial and follow-up examinations. Pancreatic necrosis was defined as lack of enhancement of all or a portion of the gland. Length of hospitalization, morbidity, and mortality in patients with early or late necrosis (22 patients) were evaluated and compared with the same criteria in the rest of the group. Patients with necrosis had a 23% mortality and an 82% complication rate; patients without necrosis had 0% mortality and 6% morbidity. When only the initial assessment was considered, patients with peripancreatic phlegmons and necrosis had 80% morbidity, compared with 36% morbidity in those with phlegmons and no necrosis. Serious complications occurred in patients who initially had or developed more than 30% necrosis. A CT severity index, based on a combination of peripancreatic inflammation, phlegmon, and degree of pancreatic necrosis as seen at initial CT study, was developed. Patients with a high CT severity index had 92% morbidity and 17% mortality; patients with a low CT severity index had 2% morbidity, and none died.

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Metadata

Authors
Balthazar, E. J., Robinson, D. L., Megibow, A. J., & Ranson, J. H.
Venue
Radiology
Published
1990-02
Volume
174
Issue
2
Pages
331-336
ISSN
  • 0033-8419 (ISSN-L)
  • 1527-1315
OpenAlex
W2085546839
Cited by
1,696
References
0
FWCI
14.26
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Acute pancreatitis: value of CT in establishing prognosis. https://app.cochat.ai/papers/10.1148/radiology.174.2.2296641
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Balthazar, E. J., Robinson, D. L., Megibow, A. J., & Ranson, J. H. (1990). Acute pancreatitis: value of CT in establishing prognosis. Radiology. https://doi.org/10.1148/radiology.174.2.2296641

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.