ArticleMedical science monitor : international medical journal of experimental and clinical research2023
Ascites Volume Quantification via Abdominal CT: A Novel Approach to Predict Severity in Acute Pancreatitis.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Correlation Analysis of Body Muscle-Fat Composition Parameters and CT Severity Index with Disease Severity in Acute Pancreatitis.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2026Article
- Development of a machine learning-based early prediction model for disease severity in acute pancreatitis.European journal of medical research · 2026Article
- Ascites in acute pancreatitis: A window into disease severity.World journal of gastroenterology · 2025Article
- Feline Peritoneal Effusions-A Poor Prognosis?Animals : an open access journal from MDPI · 2025Article
- Clinical implications of CT-detected ascites in gastric cancer: association with peritoneal metastasis and systemic inflammatory response.Insights into imaging · 2024Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND Acute pancreatitis, a sudden inflammation of the pancreas, can result in severe complications. The presence and volume of ascites, an abnormal accumulation of fluid in the abdomen, has been linked to disease severity. Our study investigates ascites volume, quantified via abdominal CT scans, as a potential predictive tool for disease severity. MATERIAL AND METHODS In this retrospective analysis, patients diagnosed with acute pancreatitis were evaluated. Patients were categorized into groups with and without ascites, with comparisons made regarding clinical characteristics. We further compared the mean ascitic volume against various outcome parameters in patients with ascites. Ascites volume and other predictive systems were assessed through receiver operating characteristic (ROC) curves, with the area under the ROC curve (AUC) for different predictive systems being analyzed. RESULTS The ascites group had higher severity scores and related serological indexes (P<0.05 for all). Among patients with ascites, a significant correlation was observed between ascites volume and outcome parameters (P<0.05 for all). The area under the ROC curve for predicting severe acute pancreatitis was 0.896, with 93% sensitivity and 79% specificity. Ascites volume yielded the highest diagnostic odds ratio (53.1; 95% confidence interval: 13.2,199.6). CONCLUSIONS Early-stage acute pancreatitis patients with ascites are indicative of severe illness and poor prognosis. An increase in ascites volume correlates with adverse clinical outcomes, thus highlighting the significance of ascites volume as a prognostic marker. This underscores the importance of abdominal CT in measuring ascites volume to predict disease severity.
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