TY - JOUR
T1 - A novel ultrasound technique to detect early chronic kidney disease
AU - Hewadikaram, Dulitha K.
AU - Bandara, Mudhitha
AU - Pattivedana, Amal N.
AU - Jayaweera, Hiran H.E.
AU - Jayananda, Kithsiri M.
AU - Madhavi, W. A.Monica
AU - Pallewatte, Aruna
AU - Jayasumana, Channa
AU - Siribaddana, Sisira
AU - Wansapura, Janaka P.
N1 - Funding Information:
Grant information: Funding by National Research Council, Vidya Mawatha, Sri Lanka (NRC 16-044).
Funding Information:
by National Research Council, Vidya Mawatha, Sri Lanka (NRC16-044).
Publisher Copyright:
© 2019 Hewadikaram DK et al.
PY - 2019
Y1 - 2019
N2 - Chronic kidney disease (CKD) of unknown etiology is recognized as a major public health challenge and a leading cause of morbidity and mortality in the dry zone in Sri Lanka. CKD is asymptomatic and are diagnosed only in late stages. Evidence points to strong correlation between progression of CKD and kidney fibrosis. Several biochemical markers of renal fibrosis have been associated with progression of CKD. However, no marker is able to predict CKD consistently and accurately before being detected with traditional clinical tests (serum creatinine, and cystatin C, urine albumin or protein, and ultrasound scanning). In this paper, we hypothesize that fibrosis in the kidney, and therefore the severity of the disease, is reflected in the frequency spectrum of the scattered ultrasound from the kidney. We present a design of a simple ultrasound system, and a set of clinical and laboratory studies to identify spectral characteristics of the scattered ultrasound wave from the kidney that correlates with CKD. We believe that spectral parameters identified in these studies can be used to detect and stratify CKD at an earlier stage than what is possible with current markers of CKD.
AB - Chronic kidney disease (CKD) of unknown etiology is recognized as a major public health challenge and a leading cause of morbidity and mortality in the dry zone in Sri Lanka. CKD is asymptomatic and are diagnosed only in late stages. Evidence points to strong correlation between progression of CKD and kidney fibrosis. Several biochemical markers of renal fibrosis have been associated with progression of CKD. However, no marker is able to predict CKD consistently and accurately before being detected with traditional clinical tests (serum creatinine, and cystatin C, urine albumin or protein, and ultrasound scanning). In this paper, we hypothesize that fibrosis in the kidney, and therefore the severity of the disease, is reflected in the frequency spectrum of the scattered ultrasound from the kidney. We present a design of a simple ultrasound system, and a set of clinical and laboratory studies to identify spectral characteristics of the scattered ultrasound wave from the kidney that correlates with CKD. We believe that spectral parameters identified in these studies can be used to detect and stratify CKD at an earlier stage than what is possible with current markers of CKD.
KW - Chronic kidney disease of unknown etiology
KW - Kidney fibrosis
KW - Ultrasound spectral characteristics
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U2 - 10.12688/f1000research.14221.2
DO - 10.12688/f1000research.14221.2
M3 - Article
C2 - 30906523
AN - SCOPUS:85063712686
SN - 2046-1402
VL - 7
JO - F1000Research
JF - F1000Research
M1 - 448
ER -