Serous Cystadenoma of the Pancreas: Report of 30 Cases with Emphasis on the Imaging Findings
| Autor: | Moreno Valdo, Alessandro Guarise, Gian Franco Pistolesi, E. Bicego, Giuseppe Bogina, Carlo Procacci, Ivo Andrea Bergamo-Andreis, Ugo Solarino, Rossella Graziani |
|---|---|
| Rok vydání: | 1997 |
| Předmět: |
Adult
Male medicine.medical_specialty Pancreatic disease Adolescent Pancreatic serous cystadenoma Diagnosis Differential medicine Humans Radiology Nuclear Medicine and imaging Aged Retrospective Studies Ultrasonography medicine.diagnostic_test business.industry Cystadenoma Serous Magnetic resonance imaging Retrospective cohort study Middle Aged Serous Cystadenoma medicine.disease Magnetic Resonance Imaging Pancreatic Neoplasms medicine.anatomical_structure Cystadenoma Female Radiology Differential diagnosis Tomography X-Ray Computed Pancreas business |
| Zdroj: | Journal of Computer Assisted Tomography. 21:373-382 |
| ISSN: | 0363-8715 |
| DOI: | 10.1097/00004728-199705000-00007 |
| Popis: | Purpose: Our goal was to evaluate retrospectively 30 cases of serous cystadenoma (SCA) to determine its main imaging features as well as to discuss the differential diagnosis problems versus the other cystic lesions of the pancreas. Method: Thirty SCAs were analyzed; they were all benign lesions, proven at surgery. Twenty-three tumors were evaluated with US, 26 with CT, and 5 with MRI. Results: Three different morphostructural patterns were identified: microlacunar (n = 19), mixed (n = 6), and macrolacunar (n = 5). The diagnosis of SCA, possible in either the microlacunar or the mixed patterns, was achieved in 74% of cases with US (17/23) and in 61.5% with CT (16/26). Among the 19 patients evaluated with both modalities, the joint information allowed a correct diagnosis in 16 cases (84%). The five macrolacunar tumors were undistinguishable from other cystic masses of the pancreas. Conclusion: The diagnosis of SCA can be considered certain in the microlacunar, likely in the mixed, and not possible in the macrolacunar type. |
| Databáze: | OpenAIRE |
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