Analysis of renal artery morphometery in adults: A study conducted by using Multidetector computed Tomography Angiography | Mohiuddin | Pakistan Journal of Medical Sciences Old Website
 

Analysis of renal artery morphometery in adults: A study conducted by using Multidetector computed Tomography Angiography

Maria Mohiuddin, Arsalan Manzoor, Muhammad Ali, Nuzhat Hassan

Abstract


Objective: To determine a reference range of renal artery measurements by using Multidetector Computed Tomography (MDCT) angiography and to find association of renal artery measurements with side of artery, gender and age.

Method: Two hundred and fifty study participants without renal artery disease who were presented to Radiology Department, Ziauddin Hospital, Karachi, from November, 2016 to April, 2017 were included in this study. Main renal artery measurements were taken on Multidetector computed angiography and variation with side, gender and age were analyzed. Statistical analysis was done on Statistical Package for Social Sciences (SPSS) version 20. Independent sample T test, one way ANOVA and Pearson’s correlation analysis were applied. P-value of < 0.05 was considered significant.

Results: A significance difference (p=0.001) was seen between mean right renal artery (diameter 6.66 ± 0.39 mm; length 44.69 ± 2.48 mm) and left renal artery (diameter 6.79 ± 0.36; length 35.10 ± 2.86 mm). Females found to have smaller mean diameter and length of renal arteries than males. However, a weak negative correlation was seen between mean renal artery diameter and age (right r= -0.158, p=0.0121; left r= -0.017, p= 0.708).

Conclusion: The mean diameter and mean length were found to be significantly different between right and left main renal artery and between males and females. A significant weak negative correlation was observed between renal artery diameter and age.

doi: https://doi.org/10.12669/pjms.334.13063

How to cite this:Mohiuddin M, Mansoor A, Ali M, Hassan N. Analysis of renal artery morphometery in adults: A study conducted by using Multidetector computed Tomography Angiography. Pak J Med Sci. 2017;33(4):943-947.   doi: https://doi.org/10.12669/pjms.334.13063

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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