Aims: To evaluate the applicability of point shear wave elastography (pSWE) for measuring renal parenchymal stiffness in healthy children and adolescents and to establish norm values for shear wave speed (SWS) using two ARFI methods and ultrasound probes.Material and methods: We prospectively investigated 264 children (43.9% males). pSWE (Virtual TouchTM Quantification and Virtual TouchTM Imaging Quantification (VTQ and VTIQ; Siemens, Germany)) was performed in the renal cortex of 528 healthy kidneys using a 1-6 MHz convex and a 4-9 MHz linear ultrasound probe in ventrolateral and dorsal examinations. Feasibility and reproducibility of pSWE measurements were evaluated. SWS values were analysed with regard to age, body dimensions, kidney volume and measuring depth.Results: pSWE measurements were successful in >95% of subjects using the low and in <60% using the high-frequency probe. Mean SWS values (m/s) differed by method and probe: 2.10±0.43 (VTQ1-6MHz, convex, ventrolateral), 2.30±0.37 (VTQ1-6MHz, convex, dorsal), 1.58±0.44 (VTQ4-9MHz, linear, dorsal) and 1.96±0.27 (VTIQ4-9MHz, linear, dorsal). SWS was positively correlated with age, weight and body height, but independent of sex, BMI, or kidney volume and depth.Conclusions: pSWE (VTQ) is a feasible method to evaluate renal parenchymal stiffness in children of all ages. SWS values are age and weight dependent and differ significantly between high- and low-frequency probes. High-frequency probes and VTIQ should only be used in children <10 years.
In this review we briefly discuss the possible biomarkers of prostate cancer among them we focus and analyze the relevance of TMPRSS2-ERG fusion gene in line with ERG expression in the diagnosis of prostate cancer. Starting at diagnosis and genetic alterations in prostate carcinomas, we examine the incidence and detection of the most common genetic aberration in this tumor and its protein product as well. We also examined the correlation of clinicopathological factors and prognosis with ERG and the TMPRSS2-ERG fusion oncogene and ERG expression as predictive markers.
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