Role of Renal Sonography in the Diagnosis of Chronic Kidney Disease

Authors

  • Hariram Savjibhai Parmar

DOI:

https://doi.org/10.37506/hx1yjw44

Keywords:

Chronic Kidney disease, cross-sectional, Renal cortical echogenicity, serum creatinine.

Abstract

Aim: to use sonographic imaging in grading CKD and assess the serum creatinine, renal longitudinal size,
parenchymal thickness and compare these parameters based upon ultrasonographic grade.
Material and Methods: Present cross-sectional; study was conducted at the Department of Radiology, Tertiary Care Teaching Institute of India for the duration of 1 year. There are 120 participants with CKD in the research.
All patients received a questionnaire, and a thorough clinical examination was done. Each participant underwent sector curved array transducer of 3.5–5 MHz ultrasound images of their liver and kidneys. Low tissue harmonic and speckle reduction imaging techniques are used to measure the echogenicity of the kidney and liver while reducing interobserver bias. In all the participants, the mean values of both the kidneys renal longitudinal size and parenchymal thickness were calculated. Renal cortical echogenicity was compared and graded with the echogenicity of the liver and renal medulla.
Results: The mean age of the CKD patients was found to be 45.23 ± 06.05 years. It was found that 50 patients
had Grade 1, 40 patients had Grade 2, 20 patients had Grade 3 and 10 patients had Grade 4. The results showed that, when the comparison was done, serum creatinine was found to be significant among echogenicity grades with ANOVA. when the comparison was done; the mean longitudinal size was found to be significant among echogenicity. On comparison was found to be mean Parenchymal thickness was found to be significant among echogenicity grades.
Conclusion: Renal cortical echogenicity and its grading in relation to longitudinal length, parenchymal thickness, and cortical thickness in CKD patients are the best sonographic parameters that correlate with blood creatinine. It is possible to use renal cortical echogenicity as a metric of renal function since it has the benefit of being irreversible in compared to serum creatinine levels.

Author Biography

  • Hariram Savjibhai Parmar

    Assistant Professor, Department of Radiology, Shantabaa Medical College & General Hospital Amreli,
    Gujarat.

References

Vaidya, S. R.; Aeddula, N. R.: Chronic renal failure. In

StatPearls [Internet]; StatPearls Publishing, 2021.

Matovinović, M. S. J. E. 1. Pathophysiology and

classification of kidney diseases. 2009, 20, 2.

Bikbov, B.; Purcell, C. A.; Levey, A. S.; Smith, M.;

Abdoli, A.; Abebe, M.; Adebayo, O. M.; Afarideh,

M.; Agarwal, S. K.; Agudelo-Botero, M. J. T. l. Global,

regional, and national burden of chronic kidney

disease, 1990–2017: a systematic analysis for the Global

Burden of Disease Study 2017. 2020, 395, 709-733.

Kovesdy, C. P. J. K. I. S. Epidemiology of chronic

kidney disease: an update 2022. 2022, 12, 7-11.

Varma, P. J. I. j. o. n. Prevalence of chronic kidney

disease in India-Where are we heading? 2015, 25, 133.

Agarwal, S.; Srivastava, R. J. N. c. p. Chronic kidney

disease in India: challenges and solutions. 2009, 111,

c197-c203.

Król, E.; Rutkowski, B.; Czarniak, P.; Kraszewska, E.;

Lizakowski, S.; Szubert, R.; Czekalski, S.; Sułowicz,

W.; Więcek, A. J. A. j. o. n. Early detection of chronic

kidney disease: results of the PolNef study. 2009, 29,

-273.

Jankowski, J.; Floege, J.; Fliser, D.; Böhm, M.; Marx, N.

J. C. Cardiovascular disease in chronic kidney disease:

pathophysiological insights and therapeutic options.

, 143, 1157-1172.

Chen, T. K.; Knicely, D. H.; Grams, M. E. J. J. Chronic

kidney disease diagnosis and management: a review.

, 322, 1294-1304.

Kuo, C.-C.; Chang, C.-M.; Liu, K.-T.; Lin, W.-K.;

Chiang, H.-Y.; Chung, C.-W.; Ho, M.-R.; Sun, P.-R.;

Yang, R.-L.; Chen, K.-T. J. N. d. m. Automation of the

kidney function prediction and classification through

ultrasound-based kidney imaging using deep learning.

, 2, 29.

Nankivell, B. J. J. A. P. Creatinine clearance and the

assessment of renal function. 2001, 24, 15.

Singh, A.; Gupta, K.; Chander, R.; Vira, M. J. J. o. e. o.

m.; sciences, d. Sonographic grading of renal cortical

echogenicity and raised serum creatinine in patients

with chronic kidney disease. 2016, 5, 2279-2287.

Hippisley-Cox, J.; Coupland, C. J. b. Diabetes

treatments and risk of amputation, blindness, severe

kidney failure, hyperglycaemia, and hypoglycaemia:

open cohort study in primary care. 2016, 352.

Rayner, H. C.; Hollingworth, L.; Higgins, R.; Dodds, S.

J. B. q.; safety. Systematic kidney disease management

in a population with diabetes mellitus: turning the tide

of kidney failure. 2011, 20, 903-910.

Levey, A. S.; Eckardt, K.-U.; Tsukamoto, Y.; Levin,

A.; Coresh, J.; Rossert, J.; Zeeuw, D. D.; Hostetter, T.

H.; Lameire, N.; Eknoyan, G. J. K. i. Definition and

classification of chronic kidney disease: a position

statement from Kidney Disease: Improving Global

Outcomes (KDIGO). 2005, 67, 2089-2100.

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Published

2024-04-05

How to Cite

Role of Renal Sonography in the Diagnosis of Chronic Kidney Disease. (2024). Indian Journal of Public Health Research & Development, 15(2), 118-122. https://doi.org/10.37506/hx1yjw44