論文

2005年12月

Quantitative estimation of renal blood flow by power Doppler ultrasonography in renovascular hypertensive dogs

KIDNEY INTERNATIONAL
  • T Miyajima
  • ,
  • H Yokoyama
  • ,
  • H Taira
  • ,
  • Y Tsuji

68
6
開始ページ
2781
終了ページ
2786
記述言語
英語
掲載種別
研究論文(学術雑誌)
出版者・発行元
BLACKWELL PUBLISHING

Quantitative estimation of renal blood flow by power Doppler ultrasonography in renovascular hypertensive dogs.
Background. We estimated the value of power Doppler (PD) imaging analysis for the quantitative assessment of renal cortical blood flow (RCBF) in chronic two-kidney, one-clip (2K-1C) hypertensive dogs.
Methods. To evaluate the correlation between RCBF and PD signals, RCBF and the mean pixel intensity (MPI) of PD signals were simultaneously obtained at same region in renal cortex under progressive constriction of left main renal artery in five mongrel dogs. RCBF was measured by electrolytic hydrogen gas clearance method, and PD images were transferred to computer and analyzed by the image-analysis software Openlab((R)). To assess the value of quantitative PD imaging analysis on RCBF in renovascular hypertension, in six mongrel dogs with chronic 2K-1C hypertension, PD images in both of clipped kidneys (CK) and non-clipped kidneys (NK) were obtained and analyzed before and 60 minutes after the intravenous infusion of captopril or sodium nitroprusside at 10-minute intervals.
Results. There was a linear correlation between RCBF and MPI (r= 0.878, P < 0.0001). MPI in both CK and NK significantly increased after the infusion of captopril, while no significant change was observed in both CK and NK after the infusion of sodium nitroprusside, despite similar reduction of mean arterial blood pressure.
Conclusion. Our data suggest that the acute inhibition of angiotensin-converting enzyme increased RCBF in both CK and NK of chronic 2K-1C dogs. The quantitative analysis of PD flow signals in kidney is noninvasive and a useful method to evaluate regional changes of renal tissue blood flow in various renal diseases.

リンク情報
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000233204300033&DestApp=WOS_CPL
ID情報
  • ISSN : 0085-2538
  • Web of Science ID : WOS:000233204300033

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