Grading Of Renal Parenchymal Disease Using Gray Scale Ultrasound: Grading Of Renal Parenchymal Disease Using Gray Scale Ultrasound

Areeba  Yousaf; Sadia  Azam; Abid  Ali; Rehan  Afsar; Khadija  Bakhtawar

doi:10.54393/pjhs.v3i01.51

Authors

Areeba Yousaf University Institute of Radiological and Medical Imaging Sciences, University of Lahore, Gujrat Campus
Sadia Azam University Institute of Radiological and Medical Imaging Sciences, University of Lahore, Gujrat Campus
Abid Ali University Institute of Radiological and Medical Imaging Sciences, University of Lahore, Gujrat Campus
Rehan Afsar University Institute of Radiological and Medical Imaging Sciences, University of Lahore, Gujrat Campus
Khadija Bakhtawar University Institute of Radiological and Medical Imaging Sciences, University of Lahore, Gujrat Campus

DOI:

https://doi.org/10.54393/pjhs.v3i01.51

Keywords:

Renal Parenchymal Disease, Ultrasound, CKD, Grading

Abstract

The shape of the normal adult kidney is like a bean, retroperitoneally present between twelve thoracic and third lumbar vertebra. Ultrasound can identify increased cortical echogenicity and reduced cortical parenchymal thickness, as well as reduced renal size in CKD. Objective: To diagnose renal parenchymal disease and its grading using gray scale sonography. Methods: It was cross-sectional research undertaken at Tertiary Hospital in Lahore, Pakistan radiology department. This research took place over five months, from January 2022 to May 2022. A convenient sampling approach using previously published articles was used to obtain a sample size of 78 patients. After informed consent, patients who were assessed for renal ultrasonography at the study region, during the study period, were included. Data was entered and analyzed on SPSS version 22.0. Results: The mean age was 46.47±12.0. The frequency for males was 47(60.3%), and for females was 31(39.7%). Blood urea (mg/dl) had a mean value of 92.16±46.88, and Serum creatinine (mg/dl) in male patients had a mean value of 6.86±6.18 while in female patients had 5.50±5.36. The blood urea nitrogen of patients had a mean value of 50.16±33.70 and a glomerular filtration rate with a mean value of 81.34±23.12. The frequencies of sonographic grading of renal cortical echogenicity show patients of Grade 1 had 32(41.0%), Grade 2 28(35.9%), Grade 3 12(15.4%), and Grade 4 6(7.7%). Conclusion: Renal parenchymal disease is the most prevalent disease in elder males. Grade 1 of renal parenchymal disease is most common in patients, followed by Grade 2, Grade 3, and Grade 4.

References

Maurya H, Kumar T, Kumar S. Anatomical and physiological similarities of kidney in different experimental animals used for basic studies. Clinical and Experimental Nephrology 2018;3(09).

Glassock RJ, Rule AD. Aging and the kidneys: anatomy, physiology, and consequences for defining chronic kidney disease. Nephron. 2016; 134(1):25-29. doi: 10.1159/000445450.

Rayner H, Thomas M, Milford D. Kidney anatomy and physiology. Understanding Kidney Diseases: Springer; 2016;1-10.

Chalmers C. Applied anatomy and physiology and the renal disease process. Renal Nursing: Care and Management of People with Kidney Disease. 2019 August; 21-58.

Levin A, Hemmelgarn B, Culleton B, Tobe S, McFarlane P, Ruzicka M, et al. Guidelines for the management of chronic kidney disease. Canadian Medical Association journal. 2008 Nov; 179(11):1154-62. doi: 10.1503/cmaj.080351.

Shivashankara VU, Shivalli S, Pai BS, Acharya KD, Gopalakrishnan R, Srikanth V, et al. A comparative study of sonographic grading of renal parenchymal changes and estimated glomerular filtration rate (eGFR) using the modified diet in renal disease formula. Journal of clinical and diagnostic research:Res. 2016 Feb; 10(2):TC09-11. doi: 10.7860/JCDR/2016/16986.7233.

Levey AS, Coresh J. Chronic kidney disease. Lancet. 2012 Jan; 379(9811):165-80. doi: 10.1016/S0140-6736(11)60178-5.

Meguid El Nahas A, Bello AK. Chronic kidney disease: the global challenge. Lancet. 2005 Jan; 365(9456):331-40. doi: 10.1016/S0140-6736(05)17789-7.

Iyasere OU. Cognitive impairment and patient-reported outcomes in advanced kidney disease. 2017.

Singh A, Gupta K, Chander R, Vira M. Sonographic grading of renal cortical echogenicity and raised serum creatinine in patients with chronic kidney disease. Journal of the evolution of medical and dental sciences. 2016; 5(38):2279-2287.

Brisbane W, Bailey MR, Sorensen MD. An overview of kidney stone imaging techniques. Nature Reviews Urology 2016 Nov; 13(11):654-662. doi: 10.1038/nrurol.2016.154.

Ruebsamen R, Savoni J, Hosseini PK, Fuchs S. Adolescent medicine and general pediatrics III Concurrent session Saturday, January, 2018. Journal of investigative medicine 2018;66:62-287.

Siddappa JK, Singla S, Mohammed Al Ameen S, Kumar N. Correlation of ultrasonographic parameters with serum creatinine in chronic kidney disease. Journal of clinical imaging science. 2013 Jun; 3:28. doi: 10.4103/2156-7514.114809.

Khadka H, Shrestha B, Sharma S, Shrestha A, Regmi S, Ismail A, et al. Correlation of ultrasound parameters with serum creatinine in renal parenchymal disease. Journal of Gandaki Medical College-Nepal. 2019; 12(1):58-64.

Yaprak M, Çakır Ö, Turan MN, Dayanan R, Akın S, Değirmen E, et al. Role of ultrasonographic chronic kidney disease score in the assessment of chronic kidney disease. International urology and nephrology. 2017; 49(1):123-131. doi: 10.1007/s11255-016-1443-4.

Ahmed S, Bughio S, Hassan M, Lal S, Ali M. Role of ultrasound in the diagnosis of chronic kidney disease and its correlation with serum creatinine level. Cureus. 2019;11(3). 2019 Mar; 11(3):e4241. doi: 10.7759/cureus.4241.

Rivera-Franco MM, Leon-Rodriguez E. Delays in breast cancer detection and treatment in developing countries. Breast cancer: basic and clinical research. Breast Cancer (Auckl). 2018 Jan; 12:1178223417752677. doi: 10.1177/1178223417752677.

Xu Z-F, Xu H-X, Xie X-Y, Liu G-J, Zheng Y-L, Liang J-Y, et al. Renal cell carcinoma: real-time contrast-enhanced ultrasound findings. Abdominal imaging. 2010 Dec; 35(6):750-6. doi: 10.1007/s00261-009-9583-y.

Vinod S, Jagadeep M, Abdul Eksana A. Correlation between renal parenchymal thickness and EGFR in chronic kidney disease. Journal of Case Reports and Scientific Images. 2020; 2(2): 12-16. doi.org/10.22271/27080056.2020.v2.i2a.19

De Rechter S. Is Autosomal Dominant Polycystic Kidney Disease a pediatric disorder? From AdultDPKD to ADPediatricKD. 2018.

Raju NK, Rao JM, Raju D. Role of renal sonography in the diagnosis of chronic kidney disease. International Journal of Radiology and Diagnostic Imaging. 2019; 2(1): 38-41. DOI: http://dx.doi.org/10.33545/26644436.2019.v2.i1a.26

Debruyn K, Haers H, Combes A, Paepe D, Peremans K, Vanderperren K, et al. Ultrasonography of the feline kidney: technique, anatomy, and changes associated with the disease. Journal of Feline Medicine and Surgery. 2012 Nov; 14(11):794-803. doi: 10.1177/1098612X12464461.

Gupta PK, Kunwar L, Bc B, Gupta A. Correlation of Ultrasonographic Parameters with Serum Creatinine and Estimated Glomerular Filtration Rate in Patients with Echogenic Kidneys. Journal of Nepal Health Research Council. 2020 Nov; 18(3):495-499. doi: 10.33314/jnhrc.v18i3.2760.

Gupta P, Chatterjee S, Debnath J, Nayan N, Gupta SD. Ultrasonographic predictors in chronic kidney disease: A hospital-based case-control study. Journal of Clinical Ultrasound. 2021 Sep; 49(7):715-719. doi: 10.1002/jcu.23026.

Jha V, Garcia-Garcia G, Iseki K, Li Z, Naicker S, Plattner B, et al. Chronic kidney disease: global dimension and perspectives. The Lancet. 2013 Jul; 382(9888):260-72. doi: 10.1016/S0140-6736(13)60687-X.

Yuan J, Zou X-R, Han S-P, Cheng H, Wang L, Wang J-W, et al. Prevalence and risk factors for cardiovascular disease among chronic kidney disease patients: results from the Chinese cohort study of chronic kidney disease (C-STRIDE). BMC nephrology. 2017 Jan; 18(1):23. doi: 10.1186/s12882-017-0441-9.

Päivänsalo M, Huttunen K, Suramo I. Ultrasonographic findings in renal parenchymal diseases. Scandinavian journal of urology and nephrology. 1985; 19(2):119-23. doi: 10.3109/00365598509180238.