Using Ultra-Sonography in Acute and Chronic Renal Pathologies: A Cross-Sectional Study

[摘要] Background: Sonographic evaluation of the kidneys is a key diagnostic step in determining kidney disorders. Previous studies havesuggested that sonographic evaluation helps clinicians in determining the causes of either acute or chronic renal diseases.Objectives: The present study aimed to assess the role of ultra-sonography in acute and chronic renal pathologies.Methods: In this study, 29 patients with parenchymal kidney disease referred to Nephrology Department of Imam Reza Hospital,Tabriz, Iran, participated. The patients’ demographic information, internal diseases, kidney diseases, and other medical conditionswere recorded. Then the Doppler and gray scale sonography were performed for both kidneys. Biopsies were taken from patientsand were then compared with sonographic findings. The data were analyzed with SPSS software version 22.Results: According to pathologic findings, 69% of renal diseases was acute, and 31% of the diseases were chronic. According to theresults of Gray Scale ultrasonography, there was a significant correlation between parenchyma thickness, cortex echogenicity (qualitative), medula echogenicity (qualitative and quantitative), and corticomedullary differentiation (quantitative) with pathologicfindings (P < 0.05). Furthermore, no significant correlation was observed between the length of the kidney, cortex echogenecity(quantitative), and cortico-medullary differentiation (qualitative) with pathological findings (P < 0.05). In addition, there was asignificant correlation between RI and pathologic findings based on Doppler ultrasonography (P < 0.05).Conclusions: According to the results of this study, ultrasonography and color Doppler would be useful as an assistance and noninvasive method for the diagnosis and differentiation of the conflict site and the type of pathology involved in all parenchymalkidney disorders.

[学科分类] 基础医学

[关键词] Doppler Ultrasound;Gray Scale;Pathology;Paranchymal Kidney Disease