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Updated: Jun 29, 2026
High Resolution 3D Imaging of the Human Pancreas Neuro-insular Network
Published on: January 29, 2018
Pancreatic cystic lesions: discrimination accuracy based on clinical data and high-resolution computed tomographic
Vinika V Chaudhari1, Steven S Raman, Ng L Vuong
1Department of Radiology, David Geffen School of Medicine, University of California-Los Angeles Center for the Health Sciences, Los Angeles, CA 90095-1721, USA.
Objective:
To determine the frequency of typical features of pancreatic cystic lesions on high-resolution computed tomography and the combination of features that best influences discrimination.
Methods:
Ten computed tomography features of 100 proven pancreatic cystic lesions were retrospectively tabulated by 2 blinded imagers. After final diagnosis was revealed, each lesion was categorized as typical or atypical. Stepwise multivariable logistic regression was used to determine which of 10 imaging and 4 clinical features significantly distinguished between benign and malignant lesions.
Results:
There were 38 benign cysts and 62 cystic tumors. Serous lesions presented with greater than 6 cysts (83%) and cysts of less than 2 cm (44%). Mucinous lesions presented with cysts of 2 cm or greater (82%) and less than 6 cysts (64%). Pseudocysts, serous, and mucinous lesions presented typically in 77%, 67%, and 64% of cases, respectively. The significant variables in classifying malignant lesions are pancreatitis history, cyst size, symptoms, and calcification pattern (area under the curve, 0.837).
Conclusions:
Four specific imaging and clinical features in combination best predict a malignant lesion.