Blood-flow volume quantification in internal carotid and vertebral arteries: comparison of 3 different ultrasound

S O Oktar1, C Yücel, D Karaosmanoglu

  • 1Department of Radiology, School of Medicine, Gazi University, Besevler, Ankara, Turkey.

Insights

B-flow imaging (BFI) offers the most accurate ultrasound estimation of cerebral blood-flow volume (BFV), correlating best with MR phase-contrast quantification. This makes BFI a cost-effective alternative for evaluating cerebrovascular disorders.

Area of Science:

  • Neuroimaging
  • Vascular Ultrasound
  • Cerebrovascular Physiology

Background:

  • Cerebral blood-flow volume (BFV) estimation is crucial for assessing cerebrovascular disorders.
  • Current ultrasound techniques for BFV measurement vary in accuracy.
  • Magnetic resonance (MR) phase-contrast imaging is a reliable but costly method for BFV quantification.

Purpose of the Study:

  • To compare BFV measurements from color Doppler, power Doppler, and B-flow imaging (BFI) against MR phase-contrast quantification.
  • To determine which ultrasound technique most accurately estimates cerebral BFV in healthy volunteers.

Main Methods:

  • BFV was measured in the internal carotid and vertebral arteries of 40 healthy volunteers using color Doppler, power Doppler, BFI, and MR phase-contrast imaging.
  • Sonographic BFV measurements were compared with MR phase-contrast data.

Main Results:

  • All four techniques showed statistically significant differences in BFV measurements (P < .05).
  • BFI yielded values closest to MR phase-contrast quantification for both internal carotid (238.84 mL/min) and vertebral arteries (51.16 mL/min).
  • BFI demonstrated higher correlation rates with MR phase-contrast imaging compared to color and power Doppler.

Conclusions:

  • B-flow imaging shows the highest correlation with MR phase-contrast imaging among the evaluated sonographic techniques.
  • B-flow sonography presents a cost-effective and effective alternative for cerebral BFV calculation, aiding in the evaluation of cerebrovascular conditions.
Abstract