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J Comput Assist Tomogr. 2007 Nov-Dec;31(6):860-7.

Pancreatic cystic lesions: discrimination accuracy based on clinical data and high resolution CT features.

Author information

1
Departments of Radiology, David Geffen School of Medicine at UCLA, UCLA Center for the Health Sciences, Los Angeles, CA, USA.

Abstract

OBJECTIVE:

To determine the accuracy of high-resolution computed tomography in discriminating among pancreatic cystic lesions with and without clinical history.

METHODS:

Multiphasic high-resolution computed tomographic scans of 100 proven cystic pancreatic lesions were retrospectively reviewed by 2 blinded imagers. Before and after a history of pancreatitis was revealed, readers classified lesions as either nontumor-related or tumor-related. Reviewers also classified lesions as benign or malignant and finally categorized each lesion as serous, mucinous, or other lesion. Diagnostic performance parameters for classification were calculated for each reader with and without history.

RESULTS:

Sixty-two lesions were tumor-related and 38 were not. Accuracy for classifying tumor-related from unrelated cysts for both reviewers increased (83%-92%, 85%-91%) when unblinded to pancreatitis history. Specificity also significantly increased (66%-88% and 84%) for both reviewers.

CONCLUSIONS:

Pancreatic-phase computed tomography enabled more than 80% accuracy in discriminating between tumor-related and unrelated lesions and increased with information of pancreatitis history.

PMID:
18043347
DOI:
10.1097/RCT.0b013e318039b277
[Indexed for MEDLINE]

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