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Year : 2017  |  Volume : 45  |  Issue : 1  |  Page : 1-7

Role of multislice computed tomography in characterization of different retroperitoneal masses

1 Radiology Department, Benha University, Benha, Egypt
2 General Surgery Department, Benha University, Benha, Egypt

Correspondence Address:
Ahmed Shalaan
Radiology Department, Benha University
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DOI: 10.4103/tmj.tmj_1_17

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Background Multislice computed tomography imaging (MSCT) plays an integral role in the characterization of primary retroperitoneal masses and in the evaluation of their extent and involvement of adjacent structures, and therefore in treatment planning. Many authors have described useful imaging features to distinguish between the different entities. Aim The aim of this study was to evaluate the role of MSCT in differentiation of primary retroperitoneal masses in correlation with pathological findings. Patients and methods This prospective study was performed on 43 patients aiming to determine the role of cross-sectional computed tomography (CT) imaging in the differential diagnosis of primary retroperitoneal masses. Each case was submitted for pathological analysis either following open surgical biopsy, surgical excision, or image-guided biopsy by CT or ultrasound. Correlation of CT findings with pathological results was obtained. Results The calculated accuracy for the diagnosis and differential diagnosis of primary retroperitoneal masses by MSCT was 69.7% in the studied cases matched with pathological findings, which represented 30 cases of our study. This was helpful in narrowing the differential diagnosis and thus in treatment planning. Conclusion Multi-slice Computed Tomography (MSCT) is considered the basic standard in morphological evaluation, and the diagnosis of primary retroperitoneal masses according to their origin is carried out first and then characterization of the mass lesion is performed depending upon the specific imaging characteristics detected on CT examination such as consistency, component, vascularity and enhancement pattern, as well as specific pattern of spread.

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