Journal of Veterinary Science

  • 제24권6호
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  • Pages.75.1-75.8
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  • 2023
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  • 1229-845X(pISSN)
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  • 1976-555X(eISSN)
대한수의학회 (The Korean Society of Veterinary Science)
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Diagnostic assessment of two-dimensional shear wave elastography in relation to dimethyl arginine levels in dogs with chronic kidney disease

  • Hyun Cho (Department of Veterinary Medical Imaging, College of Veterinary Medicine, Chonnam National University) ;
  • Seungwha Yang (Doctor Dog Animal Medical Center) ;
  • Gukhyun Suh (Department of Veterinary Internal Medicine, College of Veterinary Medicine, Chonnam National University) ;
  • Jihye Choi (Department of Veterinary Medical Imaging, College of Veterinary Medicine, Seoul National University)
  • 투고 : 2023.04.04
  • 심사 : 2023.09.13
  • 발행 : 2023.11.30
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초록

Background: In veterinary medicine, previous studies regarding the diagnostic performance of shear wave elastography (SWE) in chronic kidney disease (CKD) are not consistent with each other. Moreover, there has been no study evaluating the relationship between symmetric dimethylarginine (SDMA) concentration and renal shear wave velocity (SWV) using two-dimensional SWE (2D SWE) in dogs with CKD. Objectives: This study aimed to evaluate the diagnostic capability of 2D SWE in dogs with CKD and to assess the relationship between renal SWV and SDMA concentration. Methods: Dogs with healthy kidneys and dogs with CKD underwent 2D SWE and SDMA assay. Renal stiffness was estimated as renal SWV in m/s. Results: SDMA concentration had a weak positive correlation with the left (r = 0.338, p = 0.022) and right renal SWV (r = 0.337, p = 0.044). Renal SWV was not significantly different between healthy kidney and CKD groups in the left (p = 0.085) and right (p = 0.171) kidneys. Conclusions: 2D SWE may could not distinguish between dogs with healthy kidney and dogs with early stage of CKD, but it would be useful for assessing the serial change of renal function in dogs.

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과제정보

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (NRF-2021R1A2C200573011).

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