Why the study?
Does corrected ultrasound Doppler accurately measure blood velocity compared to PC-VIPR MRA in small arteries with disturbed flow in a canine aneurysm model?
Does corrected ultrasound Doppler accurately measure blood velocity compared to PC-VIPR MRA in small arteries with disturbed flow in a canine aneurysm model?
Ultrasound Doppler velocity measurements in small arteries with disturbed flow correlate well with PC-MRA when corrected for intrinsic spectral broadening, avoiding overestimation of peak systolic velocities.
Corrected UD may enable reliable velocity assessment in disturbed small-artery flow; leaves open human validation from this animal model.
Ultrasound Doppler (UD) velocity measurements are commonly used to quantify blood flow velocities in vivo. The aim of our work was to investigate the accuracy of in vivo spectral Doppler measurements of velocity waveforms. Waveforms were derived from spectral Doppler signals and corrected for intrinsic spectral broadening errors by applying a previously published algorithm. The method was tested in a canine aneurysm model by determining velocities in small arteries (3-4 mm diameter) near the aneurysm where there was moderately disturbed flow. Doppler results were compared to velocity measurements in the same arteries acquired with a rapid volumetric phase contrast MR angiography technique named phase contrast vastly undersampled isotropic projection reconstruction magnetic resonance angiography (PC-VIPR MRA). After correcting for intrinsic spectral broadening, there was a high degree of correlation between velocities obtained by the real-time UD and the accelerated PC-MRA technique. The peak systolic velocity yielded a linear correlation coefficient of r = 0.83, end diastolic velocity resulted in r = 0.81, and temporally averaged mean velocity resulted in r = 0.76. The overall velocity waveforms obtained by the two techniques were also highly correlated (r = 0.89 ± 0.06). There were, however, only weak correlations for the pulsatility index (PI: 0.25) and resistive index (RI: 0.14) derived from the two techniques. Results demonstrate that to avoid overestimations of peak systolic velocities, the results for UD must be carefully corrected to compensate for errors caused by intrinsic spectral broadening.
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Jiang et al. (2011) studied this question.
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