RecruitingNCT06510036

Assessment of Pancreatic Physiological and Pathological Characteristics Based on Spectral CT

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


Sponsor

Yu Shi

Enrollment

1,500 participants

Start Date

Jan 21, 2021

Study Type

OBSERVATIONAL

Conditions

Summary

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

Min Age: 18 YearsMax Age: 80 Years

Inclusion Criteria1

  • Since March 2024, I have been visiting our hospital for various reasons and have undergone CT scans involving the pancreas (using energy spectrum CT)

Exclusion Criteria3

  • 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

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Interventions

OTHERThe post-processing generated after scanning is converted into energy spectrum image data (SBI)

It 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.


Locations(1)

Shengjing Hospital of China Medical University

Shenyang, Liaoning, China

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NCT06510036


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