Role of Computed Tomography in Characterisation of Renal Masses with Clinical and Histopathological Correlation
Journal Title: Scholars Journal of Applied Medical Sciences - Year 2018, Vol 6, Issue 5
Abstract
Abstract: Multi detector Helical CT is accepted as the preferred imaging technique for diagnosis of renal tumor ,tumor staging and detecting metastases. This study was performed to evaluate the role of computed tomography in the detection and characterisation of renal masses and its correlation with clinical findings and histopathology. This study was a prospective study conducted from March. 2016 to February 2018 with 50 patients who were referred for characterisation of indeterminate renal masses that did not meet the criteria for simple cyst on previous ultrasound. MDCT scans of patients were conducted with plain scan followed by contrast scan and image analysis in console. Mean age of patients is 55 years with male: female ratio 2.33:1.Most common clinical feature of mass is flank mass. Most common renal mass in the study is renal cell carcinoma followed by renal cysts. Number of cases of renal cell carcinoma diagnosed by CT is 26. On histopathology 23 came out to be renal cell carcinoma and 3 came out to be transitional cell carcinoma. Again in 1 case of CT diagnosis of Wilm’s tumor came out to be renal cell carcinoma on histopathology. CT findings show significant association with reference to diagnosis of renal cell carcinoma (p=0.016) with accuracy of 88%.CT diagnosis of renal cysts is adequate. In the present study among other miscellaneous solid masses accuracy of CT in diagnosing Wilm’s tumor is 50%.In all other miscellaneous masses histopathological diagnosis was same as CT diagnosis. CT was found to be 100% accurate in diagnosing lymphoma, angiomyolipoma, Xanthogranulomatous pyelonephritis and multi locular cystic nephroma, but p value was not significant.(p=0.991). Multi detector helical CT enables excellent detection of renal masses and differentiation between cystic, complex cystic and solid masses.
Authors and Affiliations
Dr. Nihar Ranjan Mohanty, Dr. Madhusmita Mohanty
Keywords
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