Predictive Assessment of the Severity of Acute Pancreatitis and Pancreatic Necrosis Based on Perfusion Computed Tomography Data
https://doi.org/10.52560/2713-0118-2025-5-20-33
Abstract
Aim of the study. To determine the role and potential of perfusion computed tomography in predictive assessment of the severity of acute pancreatitis and pancreatic necrosis.
Materialsandmethods. A comparison was made of two groups of patients, a total of 95 people, who underwent pCT on the first and second days after the manifestation of acute pancreatitis caused by the influence of alimentary and biliary factors, as well as coronavirus infection.
Results. This article presents the developed algorithm for predictive assessment of the severity of acute pancreatitis based on perfusion CT (pCT) data. The algorithm includes a system of quantitative and qualitative parameters, among which special attention is paid to the volume of tissue perfusion (BV), which allows for an objective assessment of the degree of ischemia of the pancreatic parenchyma, localization and volume of affected tissue, which makes it possible to classify the patient's condition by severity: mild, moderate or severe. An important feature is the possibility of early diagnosis and prognosis even with minimal manifestations of the disease, which contributes to prompt patient routing, timely initiation of adequate treatment and, as a result, a reduction in the risk of death.
Conclusion. Perfusion CT in the early stages of acute pancreatitis has high sensitivity and specificity (95.8 and 100.0 % respectively) for assessing the severity of the disease and predicting pancreatic necrosis, allowing for the detection of ischemia and necrosis zones based on blood flow levels. The introduction of a patented algorithm ensures rapid patient routing, timely initiation of therapy, and increased diagnostic objectivity, which helps reduce the number of complications and fatal outcomes.
About the Authors
I. V. Bazhukhina
The Surgut State University;
The Surgut Regional Clinical Hospital
Russian Federation
Russian Federation
Bazhukhina Irina Vladimirovna, Radiologist of the Radiology Department, Surgut Regional Clinical Hospital
Surgut
N. V. Klimova
The Surgut State University;
The Surgut Regional Clinical Hospital
Russian Federation
Russian Federation
Klimova Natal’ja Valer’evna, M. D. Med., Professor, Head of the Multiprofile Clinic Training Department, Medical Institute, Surgut State University; Head of the Department of Radiology, Surgut Regional Clinical Hospital
Surgut
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Review
For citations:
Bazhukhina I.V., Klimova N.V. Predictive Assessment of the Severity of Acute Pancreatitis and Pancreatic Necrosis Based on Perfusion Computed Tomography Data. Radiology - Practice. 2025;(5):20-33. (In Russ.) https://doi.org/10.52560/2713-0118-2025-5-20-33
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