Relationship of Renal Length with Height and Weight of an Individual using Computed Tomography AC01-AC05
Dr. Lipika Paul,
Resident, Department of Anatomy, Mahatma Gandhi Institute of Medical Sciences, Sevagram, Wardha-442102, Maharashtra, India.
Introduction: Variety of clinical disorders such as diabetes mellitus, chronic hypertension, renal artery stenosis, chronic renal failure affects the kidney and alters renal length. It also varies according to height, weight, age and ethnicity. So there should be standardised values for renal length to evaluate the pathological condition of kidney.
Aim: To determine the normal range of renal length and also to evaluate the relationship of renal length with body height and body weight of an individual.
Materials and Methods: Abdominal Computed Tomography (CT) scans of 70 individuals between the age of 21-79 years without any renal disease were reviewed and their anthropometric data like height, weight, age and sex were also recorded. Renal length was calculated as the maximum longitudinal length in coronal section parallel to the renal long axis by using CT scan images of abdomen.
Results: The mean renal length of the total study population group was 9.38±1.08 cm and 9.23±0.92 cm for left and right kidney respectively. Mean height for the study group was 158.53±9.64 cm and mean weight was 49.24±9.77 kg. We found significant relationship between renal length and height of an individual in combined group consisting of both males and females whereas, weight of an individual did not show any significant relationship with renal length when correlation was done in combined group. Moreover, renal length was in negative relationship with age which was statistically significant for total population group (Left kidney p=0.0001, Right kidney p=0.011).
Conclusion: Measurements of renal length plays a vital role in detecting renal abnormalities. Thus, the measurement of renal length is very useful for early diagnosis in urological and nephrological practices. In the present study, renal length has a direct positive relationship with height and significant inverse relationship with age. We also have formulated regression equations to predict the probable renal length with the help of body height and body weight which can be used in routine practices without imposing the patients to the toxic ionising radiation and to the financial stress.