Incidental Pancreatic Lipomas: Computed Tomography Imaging Findings with Emphasis on Diagnostic Challenges

Author:

Temizoz Osman1,Genchellac Hakan1,Unlu Ercument1,Kantarci Fatih2,Umit Hasan3,Demir Mustafa Kemal1

Affiliation:

1. Department of Radiology, Trakya University Faculty of Medicine, Edirne, Turkey

2. Department of Radiology, Cerrahpasa Faculty of Medicine, Istanbul University, Istanbul, Turkey

3. Department of Gastroenterology, Trakya University Faculty of Medicine, Edirne, Turkey

Abstract

Purpose The purpose of this study was to describe the computed tomography (CT) findings of pancreatic lipomas of 9 cases, with emphasis to diagnostic challenges. Methods Between March 2006 and April 2008, 9 patients with pancreatic lipomas that were diagnosed by CT were reviewed in the present study. Clinical data and CT features of these 9 cases were retrospectively analysed. The patient population included 5 men and 4 women, aged 42–81 years (mean age, 65.8 years). The patients were followed up for at least 2 years with control CTs. Results In all 9 cases, a well-bordered nodular fat density lesion was incidentally detected in the pancreas. Four of the lesions had a lobulated contour, and 2 of them had septations. Two of the lipomas were located in the head, 3 in the neck, 3 in the corpus, and 1 in the tail. The CT densitometric values were between −90 and −120 HU, with a mean value of −106 HU. No pancreatic or biliary dilatation or compression to the adjacent structures was seen. All the cases had control CTs, and the lipomas remained unchanged during the follow-up period. Histopathologic confirmation of the diagnosis was not planned for the cases. Conclusion Lipomas are rarely encountered in the pancreas. They often are diagnosed coincidentally as small, well-circumscribed, encapsulated, homogeneous, mature adipose masses on imaging studies. Imaging follow-up strategy or histopathologic confirmation is not necessary in asymptomatic patients.

Publisher

SAGE Publications

Subject

Radiology Nuclear Medicine and imaging,General Medicine

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