Literature DB >> 15128134

Evaluation of renal cortical perfusion by noninvasive power Doppler ultrasound during vascular occlusion and reperfusion.

Toshiyuki Kuwa1, Leopoldo C Cancio, Jill L Sondeen, Natalya Matylevich, Bryan S Jordan, Albert T McManus, Cleon W Goodwin.   

Abstract

BACKGROUND: Urine output, a frequently used resuscitation end point, is presumed to represent renal cortical perfusion. However, no noninvasive method for direct measurement of renal perfusion exists. Power Doppler ultrasound (PDUS) is a method that reportedly is sensitive to low-velocity and microvascular blood flow and can depict it. This study aimed to develop a quantitative technique for PDUS image analysis, and to evaluate the ability of PDUS to quantify cortical perfusion during renal ischemia induced by vascular occlusion.
METHODS: A method was developed to determine the mean gray-scale intensity of PDUS images from within the renal cortex (PDUS image intensity). This index was hypothesized to represent renal cortical microvascular blood flow. Renal cortical blood flow was determined using fluorescent microspheres in five swine. Renal artery flow was measured with an ultrasonic flow probe. Power Doppler ultrasound was performed at baseline; at 75%, 50%, and 25% of baseline renal artery flow; and during reperfusion.
RESULTS: Subjectively, PDUS images showed decreases in image intensity corresponding to renal artery occlusion and increases after reperfusion. Cortical blood flow correlated well with renal artery flow (n = 25; r2 = 0.868) and with PDUS image intensity (n = 25; r2 = 0.844).
CONCLUSION: Noninvasive power Doppler ultrasound image intensity correlated well with invasively measured renal cortical blood flow, and may be useful during resuscitation of injured and critically ill patients.

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Year:  2004        PMID: 15128134     DOI: 10.1097/01.ta.0000075331.21241.80

Source DB:  PubMed          Journal:  J Trauma        ISSN: 0022-5282


  2 in total

1.  Power Doppler imaging in acute renal vein occlusion and recanalization: a canine model.

Authors:  So-Young Yoo; In-One Kim; Young-Il Kim; Kyoung Ho Lee; Min Woo Lee; Byung Jae Youn; Woo Sun Kim; Kyung Mo Yeon
Journal:  Korean J Radiol       Date:  2008 Mar-Apr       Impact factor: 3.500

2.  Renal echography for predicting acute kidney injury in critically ill patients: a prospective observational study.

Authors:  Hai Jun Zhi; Yong Li; Bo Wang; Xiao Ya Cui; Meng Zhang; Zhen Jie Hu
Journal:  Ren Fail       Date:  2020-11       Impact factor: 2.606

  2 in total

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