Correlation Between Renal Dimensions and Anthropometric Indices Using Computed Tomography in Adults Without Known Renal Disease: A Cross-Sectional Prospective Study

Background: Assessing renal volume as a potential indicator of renal function and related disorders is valuable for clinical decision-making. Computed tomography (CT) can accurately estimate actual kidney size. Objectives: This study aimed to evaluate the relationship between anthropometric parameters and renal dimensions measured by CT. Methods: Renal CT scan evaluations were performed on 634 individuals (308 males and 326 females) who had undergone abdominopelvic CT scans for indications unrelated to renal disease. Renal parameters, including length, width, depth, volume, and cortex length, were measured. Results: The mean age of participants was 53.5 ± 13.7 years (range: 18 - 86 years). Renal dimensions in males were larger than those in females. Additionally, the left kidney showed larger dimensions than the right kidney in both genders. Renal dimensions increased with age initially, but began to decrease after the sixth decade of life. A significant negative correlation was found between age and renal length, cortex, and left renal volume. In contrast, a significant positive correlation was observed between weight and both renal depth, length, volume, and left renal cortex, as well as between height and both renal length and volume on both sides. All dimensions except renal length were greater with increasing Body Mass Index (BMI). Conclusions: The results indicate a significant correlation between kidney dimensions and various anthropometric factors such as age, weight, height, and BMI. These findings provide valuable insights into kidney dimensions measured on CT scans, potentially aiding in the diagnosis and treatment of kidney diseases.

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Publication Details

Journal
Nephro-Urology Monthly
Published
2024-11-05
DOI
https://doi.org/10.5812/numonthly-148354
Primary Topic
Renal and Vascular Pathologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Correlation Between Renal Dimensions and Anthropometric Indices Using Computed Tomography in Adults Without Known Renal Disease: A Cross-Sectional Prospective Study

Amin Kanani, Alireza Jafari, Ehsan Kazemnejad, Masoomeh Afzalipoor et al.
Nephro-Urology Monthly
Renal and Vascular Pathologies
article

Correlation Between Renal Dimensions and Anthropometric Indices Using Computed Tomography in Adults Without Known Renal Disease: A Cross-Sectional Prospective Study

Amin Kanani, Alireza Jafari, Ehsan Kazemnejad, Masoomeh Afzalipoor, Sina Ramezani, Reza Falahatkar, Siavash Falahatkar
article en

Abstract

Background: Assessing renal volume as a potential indicator of renal function and related disorders is valuable for clinical decision-making. Computed tomography (CT) can accurately estimate actual kidney size. Objectives: This study aimed to evaluate the relationship between anthropometric parameters and renal dimensions measured by CT. Methods: Renal CT scan evaluations were performed on 634 individuals (308 males and 326 females) who had undergone abdominopelvic CT scans for indications unrelated to renal disease. Renal parameters, including length, width, depth, volume, and cortex length, were measured. Results: The mean age of participants was 53.5 ± 13.7 years (range: 18 - 86 years). Renal dimensions in males were larger than those in females. Additionally, the left kidney showed larger dimensions than the right kidney in both genders. Renal dimensions increased with age initially, but began to decrease after the sixth decade of life. A significant negative correlation was found between age and renal length, cortex, and left renal volume. In contrast, a significant positive correlation was observed between weight and both renal depth, length, volume, and left renal cortex, as well as between height and both renal length and volume on both sides. All dimensions except renal length were greater with increasing Body Mass Index (BMI). Conclusions: The results indicate a significant correlation between kidney dimensions and various anthropometric factors such as age, weight, height, and BMI. These findings provide valuable insights into kidney dimensions measured on CT scans, potentially aiding in the diagnosis and treatment of kidney diseases.

Nephro-Urology MonthlyVol. 16(4)
Guilan University of Medical Sciences (IR), University of Saskatchewan (CA), Razi Hospital (IR)
Guilan University of Medical Sciences
Peace, Justice and strong institutions
Openalex Percentile: Top 64%
Renal and Vascular Pathologies
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