Heiss, P. and Bruennler, T. and Salzberger, B. and Lang, S. and Langgartner, J. and Feuerbach, S. and Schoelmerich, J. and Hamer, O. W. (2010) Severe Acute Pancreatitis Requiring Drainage Therapy: Findings on Computed Tomography as Predictor of Patient Outcome. PANCREATOLOGY, 10 (6). pp. 726-733. ISSN 1424-3903, 1424-3911
Full text not available from this repository. (Request a copy)Abstract
Background/Aims: To evaluate whether morphologic features on computed tomography (CT) correlate with outcome of patients with severe acute pancreatitis (SAP). Methods: 80 patients with SAP requiring percutaneous drainage therapy were retrospectively analyzed. Twelve CT features beyond the CT severity index (CTSI) were studied. Endpoints for patient outcome were patient death, length of hospital and ICU stay. The twelve features and the CTSI score were correlated with mortality using Kaplan-Meier estimator and correlated with length of hospital and ICU stay using the chi(2) test. A p value <= 0.05 was considered statistically significant. Results: Two CT features exhibited a significant correlation with mortality: (1) the number of parts of pancreas (head, corpus, tail) that exhibited areas of necrosis and (2) the presence of distant fluid collections (posterior pararenal space and/or paracolic gutter). Mortality was 42% (21 of 50 patients) and 20% (6 of 30 patients) if two/all three parts or none/one part of the pancreas exhibited necrosis, respectively. Mortality was 46% (18 of 39 patients) and 22% (9 of 41 patients) if distant fluid collections were present or absent, respectively. All other imaging features including the CTSI showed no significant correlation with patient outcome. Conclusion: We identified two morphologic features on CT that might be helpful to predict prognosis of patients suffering from SAP. Copyright (C) 2011 S. Karger AG, Basel and IAP
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | NECROTIZING PANCREATITIS; CT; NECROSIS; INDEX; COMPLICATIONS; MANAGEMENT; Severe acute pancreatitis; Computed tomography; Morphologic features; Prognosis assessment |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Innere Medizin I Medicine > Lehrstuhl für Röntgendiagnostik |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 24 Aug 2020 07:31 |
| Last Modified: | 24 Aug 2020 07:31 |
| URI: | https://pred.uni-regensburg.de/id/eprint/25581 |
Actions (login required)
 |
View Item |
