Quantitative imaging predicts pancreatic fatty infiltration on routine CT examination

Area of Science:

• Radiology
• Gastroenterology
• Medical Imaging

Background:

• Pancreatic fatty infiltration is a condition that can affect pancreatic function.
• Accurate detection is crucial for diagnosis and treatment planning.
• Histopathological analysis is the gold standard but is invasive.

Purpose of the Study:

• To evaluate the effectiveness of quantitative computed tomography (CT) imaging in detecting pancreatic fatty infiltration.
• To compare CT imaging findings with histopathological results.
• To identify specific CT parameters associated with pancreatic steatosis.

Main Methods:

• Retrospective analysis of 60 patients undergoing pancreatic surgery.
• Exclusion of patients with pancreatic duct dilation, chronic pancreatitis, or preoperative treatment.
• Derivation of pancreatic surface lobularity, pancreatic attenuation, visceral fat area, and subcutaneous fat area from CT images.
• Validation in a separate cohort of 34 patients.

Main Results:

• Pancreatic fatty infiltration was present in 47% and 50% of patients in the derivation and validation cohorts, respectively.
• Higher pancreatic surface lobularity and lower pancreatic attenuation were significantly associated with fatty infiltration.
• Multivariable analysis identified pancreatic surface lobularity (>7.6) and pancreatic attenuation (<83.5 HU) as independent predictors.
• The combined CT parameters achieved an AUC of 0.85 in the derivation cohort and 0.83 in the validation cohort.

Conclusions:

• Quantitative CT imaging is a reliable tool for detecting pancreatic fatty infiltration.
• CT-based parameters can accurately predict the presence and extent of pancreatic steatosis.
• This non-invasive approach offers a valuable alternative to invasive diagnostic methods.