Ignite Creation Date:
2024-10-25 @ 8:05 PM
Last Modification Date:
2024-10-26 @ 3:35 PM
Study NCT ID:
NCT06510036
Status:
RECRUITING
Last Update Posted:
None
First Post:
2024-06-12
Brief Title:
Assessment of Pancreatic Physiological and Pathological Characteristics Based on Spectral CT
Sponsor:
None
Organization:
None
Study Overview
Official Title:
Assessment of Pancreatic Physiological and Pathological Characteristics Based on Spectral CT Feature Parameters a Related Study
Status:
RECRUITING
Status Verified Date:
2024-09
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
No
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief 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
Detailed Description:
Dual-Energy CT DECT is a widely recognized technology especially in its applications for the abdominal and pelvic regions Pancreatology is an ideal application of the many advantages offered by dual-energy post-processing DECT can characterize specific tissues or materialselements generate virtual unenhanced and monochromatic images and quantify iodine uptake these unique capabilities make DECT a perfect technology for supporting tumor detection and characterization as well as treatment monitoring while also reducing radiation and iodine doses and improving metal artifacts The pancreas special endocrine function makes pancreatic tissue highly sensitive to individual variations Researchers have studied the accumulation of pancreatic fat in patients with obesity and metabolic syndrome suggesting that obesity increased age male gender hypertension dyslipidemia alcohol and hyperferritinemia can cause ectopic fat accumulation in the pancreas described analogously to fatty liver as fatty pancreas Age is also an important factor leading to exocrine dysfunction of the pancreas Studies on the pancreatic features of patients with type II diabetes have indicated that this condition can severely affect pancreatic atrophy irregular morphology and fat deposition Overall precise characterization of pancreatic tissue is a crucial part of evaluating diagnoses related to pancreatic diseases Compared to traditional CT spectral CT provides ample data that can better assist in diagnosing pancreatic diseases
However it corresponds that the pancreas itself is very sensitive to certain non-pancreatic primary diseases even some special abnormal physiological states such as obesity When investigators evaluate the special changes of primary pancreatic diseases its challenging to exclude the impacts of these factors completely For some data abnormalities its sometimes unclear whether they are caused solely by primary diseases or not only by primary diseases nor is it certain whether the effects of primary diseases and these other states on the data are synergistic or antagonistic Therefore collecting and researching pancreatic-related spectral data from patients with non-pancreatic primary diseases coming for consultation is a premise for us to use spectral CT feature parameters to assess the relationship between pancreatic physiological and pathological characteristics
However it corresponds that the pancreas itself is very sensitive to certain non-pancreatic primary diseases even some special abnormal physiological states such as obesity When investigators evaluate the special changes of primary pancreatic diseases its challenging to exclude the impacts of these factors completely For some data abnormalities its sometimes unclear whether they are caused solely by primary diseases or not only by primary diseases nor is it certain whether the effects of primary diseases and these other states on the data are synergistic or antagonistic Therefore collecting and researching pancreatic-related spectral data from patients with non-pancreatic primary diseases coming for consultation is a premise for us to use spectral CT feature parameters to assess the relationship between pancreatic physiological and pathological characteristics
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None