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The linearity and accuracy of noninvasive ultrasonic method of measuring beat-to-beat renal blood flow was evaluated by correlation with standard electromagnetic flowmetry. Using a combined real-time ultrasonic imager and pulsed Doppler velocimeter known as a duplex scanner (DS), lumen diameter (D) and average blood velocity (V) within the imaged renal artery were recorded. Renal blood flow ( QDS ) was calculated offline using a microprocessor from the equation QDS = (pi x D2 x V)/4. This noninvasive method had previously been validated in vitro using a controlled hydraulic system which modeled steady-state flow (QT) where QDS = 0.98 QT + 7.75, SEE = +/- 13.2, r = +0.98, P less than 0.001. In three anesthetized dogs, simultaneous QDS and electromagnetic flow ( QEMF ) measurements (range 44-484 ml x min-1) were made in the proximal left renal artery. Linear regression analysis gave QDS = 0.43 QEMF + 40.5, r = 0.78, SEE = 33.8 ml x min-1, P less than 0.01; QDS = 1.2 QEMF + 2.9, r = 0.86, SEE = 20.8 ml x min-1, P less than 0.01; QDS = 0.86 QEMF + 0.2, r = 0.93, SEE = 53.4 ml x min-1, P less than 0.01. These results suggest that noninvasive QDS measurements of renal blood flow are linear and reasonably accurate compared with invasive QEMF in dogs. The method may have utility in the noninvasive measurement of beat-to-beat blood flow in human renal arteries.

We present a review of ultrasonic Doppler methods (duplex scanning) used in the noninvasive assessment of renal artery stenosis and hemodynamics. The clinically successful applications of ultrasonic Doppler methods to the noninvasive assessment of the peripheral and cerebral vasculatures have prompted investigators to apply these methods to the renal artery. Various Doppler criteria for the diagnosis of renal artery stenosis have given sensitivities and specificities that range from 31% to 91% and 88% to 100%, respectively. Furthermore, estimates of renal vascular flows and resistances can be made in echogenic subjects. The technical success rate of the method is operator dependent, consequently, reliable duplex scanning of the renal arteries may be limited to experienced ultrasound laboratories.

Noninvasive characterization of renal artery blood flow variables in the human has not been reported. Using a unique dual-frequency real-time two-dimensional echo Doppler (Duplex scanner) that was calibrated in vitro, we characterized renal artery blood flow patterns in 16 normal subjects (6 females). Calculated mean values of systolic diameter (Ds), maximal spatial average blood velocity (Vmsa), and volume flow rate (Q) were as follows: 4.5 +/- 0.6 mm right, 4.4 +/- 0.6 mm left; 67.6 +/- 9.4 cm . sec-1 right, 69.6 +/- 12.0 cm . sec-1 left; and 403 +/- 127 ml . min-1 right, 395 +/- 98 ml . min-1 left; respectively. Direct linear regression correlation of body surface area (BSA) with Ds and Q were statistically significant (P less than 0.01, r = 0.70; and P less than 0.01, r = 0.72, respectively). In a blind prospective series, six of seven angiographically normal renal arteries were noninvasively identified by normal geometry and blood velocity patterns. One angiographically normal artery was incorrectly classified as mildly stenotic. Eleven angiographically documented abnormal renal arteries were noninvasively identified by their abnormal blood flow patterns and/or geometry. This study suggests that dual-frequency Duplex scanning with careful sample volume control and Doppler audio spectra/blood velocity waveform analysis can be used to characterize blood flow variables in normal and diseased human renal arteries.

We evaluated the diagnostic accuracy of ultrasonic echo-Doppler velocimetry for the noninvasive diagnosis of renal artery stenosis. Renal artery stenosis was diagnosed if one or more of the following four abnormal hemodynamic parameters were found by Doppler velocimetry: (1) peak blood velocity greater than 100 cm . sec-1 in a focal area along the length of a renal artery, (2) absence of blood velocity during diastole, (3) absence of any detectable blood velocity denoting occlusion, or (4) broad-band Doppler frequency spectra due to focal blood velocity disturbances. With these criteria, the presence or absence of renal artery stenosis was blindly evaluated in 26 patients (52 arteries) who underwent standard or digital subtraction angiography. Compared to arteriography (reduction in diameter greater than or equal to 50%), the sensitivity of Doppler method was 89%, while its specificity was 73%. This noninvasive method may be useful in selecting patients for radiographic evaluation of renal artery stenosis and in the long term follow-up of these patients. Furthermore, echo-Doppler velocimetry may have the unique capability of assessing the hemodynamic consequences of renal artery stenosis.