Assessment of Pancreatic Physiological and Pathological Characteristics Based on Spectral CT Feature Parameters: A Related Study

What this Trial Is About

Researchers are studying how spectral CT scans can help characterize both normal and abnormal states of the pancreas. This observational study collects spectral CT data from patients who have undergone pancreas-related CT scans since January 2024, including those with various physiological and pathological conditions. The goal is to analyze detailed CT features, like iodine uptake and tissue characteristics, and compare these with traditional CT data to improve understanding of pancreatic diseases and their relation to other health factors. The study involves post-processing patient CT scan data to generate energy spectrum image data without increasing radiation exposure or altering the normal diagnostic process. Researchers analyze these spectral CT images alongside traditional CT data drawn from a PACS database for comparison. This approach helps to explore pancreatic tissue changes in different conditions, including obesity and type II diabetes, while accounting for other influencing health factors. Participants contribute data from their CT scans and undergo assessments including biochemical tests and pathological analyses when available. The study measures spectral imaging data and specific areas of interest within the pancreas to understand tissue features better. Data collection and analysis continue through 2025, with researchers monitoring various imaging parameters to support diagnosis and treatment evaluation. Participation does not require additional scans or procedures beyond routine care, and the study runs until mid-2028.

Assessment of Pancreatic Physiological and Pathological Characteristics Based on Spectral CT