About this trial
Patients who visited our hospital for various reasons from January 2024, underwent CT scans involving the pancreas, and were eligible for spectral post-processing reconstruction were included in the study. This research collected spectral CT data related to the pancreas at different phases, as well as physiological and pathological states for these patients. Quantitative analysis was conducted on post-processed data under different physiological and pathological states, including parameters such as pancreatic iodine uptake features, attenuation interval slopes, and extracellular volume size. In conjunction with general patient status, biochemical tests, and postoperative pathological results, the study aimed to identify correlations between parameters, develop models, and conduct research by comparing traditional CT data, which could be matched with spectral CT from the PACS database since its establishment.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
None
Disqualifiers
Previous pancreatic surgery with incomplete pancreatic tissue.
Severe systemic diseases that result in severe organ dysfunction
Excessive pancreatic atrophy or other reasons cannot accurately delineate ROI
Trial population
Age, sex, body mass index (BMI) and grading, diabetes history, smoking history, hypertension. Patients with primary pancreatic disease who undergo surgery or biopsy according to clinical routine during their hospitalization in our hospital and obtain pathological results are included.
Trial design
Case-control
Prospective
Treatments tested in this trial
The post-processing generated after scanning is converted into energy spectrum image data (SBI)
Other interventionIt will not open special sequences for patients, will not increase the cost of diagnosis and treatment, will not increase radiation exposure during enhanced CT scanning, and will not affect the normal diagnosis and treatment process of patients throughout the process.
Treatment groups
Trial outcomes
Primary outcomes
spectral imaging data(SBI)
Using Philips Intellispace Portal software to reconstruct spectral imaging data images
ROI area(mm2)
Using Philips Intellispace Portal software to delineate the Region of Interest (ROI)
Secondary outcomes
single-energy CT value
Measure the single-energy CT value(Hu)
Sponsors and contacts
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Yu Shi
Lead sponsor
Shengjing Hospital
Sponsor institution