A novel ultrasound technique to detect early chronic kidney disease [version 2; referees: 2 approved]

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 a...

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Main Authors: Dulitha K. Hewadikaram, Mudhitha Bandara, Amal N. Pattivedana, Hiran H. E. Jayaweera, Kithsiri M. Jayananda, W. A. Monica Madhavi, Aruna Pallewatte, Channa Jayasumana, Sisira Siribaddana, Janaka P. Wansapura
Format: Article
Language:English
Published: F1000 Research Ltd 2019-02-01
Series:F1000Research
Online Access:https://f1000research.com/articles/7-448/v2
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author Dulitha K. Hewadikaram
Mudhitha Bandara
Amal N. Pattivedana
Hiran H. E. Jayaweera
Kithsiri M. Jayananda
W. A. Monica Madhavi
Aruna Pallewatte
Channa Jayasumana
Sisira Siribaddana
Janaka P. Wansapura
author_facet Dulitha K. Hewadikaram
Mudhitha Bandara
Amal N. Pattivedana
Hiran H. E. Jayaweera
Kithsiri M. Jayananda
W. A. Monica Madhavi
Aruna Pallewatte
Channa Jayasumana
Sisira Siribaddana
Janaka P. Wansapura
author_sort Dulitha K. Hewadikaram
collection DOAJ
description 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.
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spelling doaj.art-545ebdcbb2f7470a82c62d18e35f44c12022-12-22T01:07:44ZengF1000 Research LtdF1000Research2046-14022019-02-01710.12688/f1000research.14221.220082A novel ultrasound technique to detect early chronic kidney disease [version 2; referees: 2 approved]Dulitha K. Hewadikaram0Mudhitha Bandara1Amal N. Pattivedana2Hiran H. E. Jayaweera3Kithsiri M. Jayananda4W. A. Monica Madhavi5Aruna Pallewatte6Channa Jayasumana7Sisira Siribaddana8Janaka P. Wansapura9General Sir John Kotelawala Defence University, Rathmalana, Sri LankaUniversity of Colombo, Colombo, Sri LankaUniversity of Colombo, Colombo, Sri LankaUniversity of Colombo, Colombo, Sri LankaUniversity of Colombo, Colombo, Sri LankaUniversity of Colombo, Colombo, Sri LankaNational Hospital of Sri Lanka, Colombo, Sri LankaRajarata University of Sri Lanka, Anuradhapura, Sri LankaRajarata University of Sri Lanka, Anuradhapura, Sri LankaUniversity of Colombo, Colombo, Sri LankaChronic 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.https://f1000research.com/articles/7-448/v2
spellingShingle Dulitha K. Hewadikaram
Mudhitha Bandara
Amal N. Pattivedana
Hiran H. E. Jayaweera
Kithsiri M. Jayananda
W. A. Monica Madhavi
Aruna Pallewatte
Channa Jayasumana
Sisira Siribaddana
Janaka P. Wansapura
A novel ultrasound technique to detect early chronic kidney disease [version 2; referees: 2 approved]
F1000Research
title A novel ultrasound technique to detect early chronic kidney disease [version 2; referees: 2 approved]
title_full A novel ultrasound technique to detect early chronic kidney disease [version 2; referees: 2 approved]
title_fullStr A novel ultrasound technique to detect early chronic kidney disease [version 2; referees: 2 approved]
title_full_unstemmed A novel ultrasound technique to detect early chronic kidney disease [version 2; referees: 2 approved]
title_short A novel ultrasound technique to detect early chronic kidney disease [version 2; referees: 2 approved]
title_sort novel ultrasound technique to detect early chronic kidney disease version 2 referees 2 approved
url https://f1000research.com/articles/7-448/v2
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