Abstract

Objective: The aim of this study was to investigate the diagnostic performance of real time strain elastography for evaluation of solid renal masses. Material and methods: Forty two patients who were incidentally detected solid renal masses underwent Real Time Strain Elastography. Strain index value was detected for each lesion by dividing ROI of lesion to ROI of adjacent renal cortex. Strain index values and color encoding patterns of lesions and renal parenchyma were obtained. Mean strain index values and color encoding patterns for benign and malignant lesions were compared. Also by using ROC curve, cut-off value was obtained and diagnostic performance of method was evaluated. Results: Any statistically significant difference of mean ages of patients was not found. Mean strain index value of malignant lesions were significantly higher than benign lesions. When cut-off value for strain index ratio was taken 0.3, high diagnostic performance was obtained for differentiation of solid renal masses as benign or malignant. Conclusion: Real time strain elastography can be useful for differentiation of solid renal masses as malignant or benign.

Highlights

  • Renal masses can be diagnosed by means of increased usage of imaging techniques

  • In this prospective study we aimed to investigate the diagnostic performance of real time sonoelastography for evaluation of solid renal masses

  • Real time strain elastography can be useful for differentiation of solid renal masses as malignant or benign

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Summary

Introduction

Renal masses can be diagnosed by means of increased usage of imaging techniques. Renal cell carcinoma is the most seen malignant mass of kidney. It is nearly about 2% of all adult cancers. Tumor seeding is the other disadvantage of biopsy Another noninvasive methods are needed for differentiation of bening and malignant lesions. Many papers which report the efficiency of elastography for solid lesions of breast [5], placenta [6] and salivatory glands [7] are available in the literature for renal lesions [8,9] In this prospective study we aimed to investigate the diagnostic performance of real time sonoelastography for evaluation of solid renal masses

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