2020 IEEE International Ultrasonics Symposium (IUS) 2020
DOI: 10.1109/ius46767.2020.9251652
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Super-resolution Ultrasound Imaging of the Renal Microvasculature in Rats with Metabolic syndrome

Abstract: Super-resolution ultrasound imaging (SRI) can visualize and quantify changes in the microvasculature. Metabolic syndrome is associated with hyperlipidemia that affect different organs, including the kidneys. Ex vivo studies have shown glomerular injury in Obese Zucker rats (OZR) over time. If in vivo SRI can diagnose renal disease before it becomes evident with current measures, earlier treatment can be initiated to postpone the onset of renal complications in persons with metabolic syndrome. The overall aim o… Show more

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(2 citation statements)
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“…Lowerison et al validated that the tortuosity obtained by ULM are correlated to hypoxia using renal tumor xenografts in the chicken embryo 26 . The kidneys of rats with metabolic syndrome were scanned using ULM 27 . More studies were conducted on obese rats using ULM, showing that the microvascular density increases in the obese rats and ULM can quantify structural alterations of the renal microvasculature 28 .…”
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confidence: 99%
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“…Lowerison et al validated that the tortuosity obtained by ULM are correlated to hypoxia using renal tumor xenografts in the chicken embryo 26 . The kidneys of rats with metabolic syndrome were scanned using ULM 27 . More studies were conducted on obese rats using ULM, showing that the microvascular density increases in the obese rats and ULM can quantify structural alterations of the renal microvasculature 28 .…”
mentioning
confidence: 99%
“…26 The kidneys of rats with metabolic syndrome were scanned using ULM. 27 More studies were conducted on obese rats using ULM, showing that the microvascular density increases in the obese rats and ULM can quantify structural alterations of the renal microvasculature. 28 The same research group studied the velocity responses of rats to intravenous administration of the α1-adrenoceptor antagonist prazosin in the renal cortical and medullary vascular beds, 29 showing that the velocity responses of these two different parts of kidneys can be detected and differentiated using ULM.…”
mentioning
confidence: 99%