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European Radiology

, Volume 17, Issue 8, pp 2149–2159 | Cite as

Color Doppler, power Doppler and B-flow ultrasound in the assessment of ICA stenosis: Comparison with 64-MD-CT angiography

  • D. -A. ClevertEmail author
  • T. Johnson
  • E. M. Jung
  • D. -A. Clevert
  • P. M. Flach
  • T. I. Strautz
  • G. Ritter
  • M. T. Gallegos
  • R. Kubale
  • C. Becker
  • M. Reiser
Vascular-Interventional

Abstract

The purpose of this study is to investigate the diagnostic potential of color-coded Doppler sonography (CCDS), power-Doppler (PD) and B-flow ultrasound in assessing the degree of extracranial internal carotid artery (ICA) stenosis in comparison to CT-angiography (MD-CTA). Thirty-two consecutive patients referred for CTA with 41 ICA-stenoses were included in this prospective study. MD-CTA was performed using a 64 row scanner with a CTDIvol of 13.1 mGy/cm. In CTA, CCDS, PD and B-flow, the degree of stenosis was evaluated by the minimal intrastenotic diameter in comparison to the poststenotic diameter. Two radiologists performed a quantitative evaluation of the stenoses in consensus blinded to the results of ultrasound. These were correlated to CTA, CCDS, PD and B-flow, intraoperative findings and clinical follow-up. Grading of the stenoses in B-flow ultrasound outperformed the other techniques in terms of accuracy with a correlation coefficient to CTA of 0.88, while PD and CCDS measurements yield coefficients of 0.74 and 0.70. Bland-Altman analysis additionally shows a very little bias of the three US methods between 0.5 and 3.2 %. There is excellent correlation (coefficient 0.88, CI 0.77–0.93) with 64-MD-CTA and B-flow ultrasound in terms of accuracy for intrastenotic and poststenotic diameter. Duplex sonography is useful for screening purposes.

Keywords

Internal carotid artery Multidetector CT angiography Color-coded Doppler sonography Power Doppler B-flow ultrasound 

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Copyright information

© Springer-Verlag 2006

Authors and Affiliations

  • D. -A. Clevert
    • 1
    Email author
  • T. Johnson
    • 1
  • E. M. Jung
    • 2
  • D. -A. Clevert
    • 3
  • P. M. Flach
    • 1
  • T. I. Strautz
    • 1
  • G. Ritter
    • 4
  • M. T. Gallegos
    • 4
  • R. Kubale
    • 5
  • C. Becker
    • 1
  • M. Reiser
    • 1
  1. 1.Department of Clinical RadiologyUniversity of Munich-Grosshadern CampusMunichGermany
  2. 2.Department of Diagnostic and Interventional RadiologyKlinikum PassauPassauGermany
  3. 3.Department of Electrical Engineering and Computer ScienceTechnische UniversityBerlinGermany
  4. 4.Department of Mathematics and Computer ScienceUniversity of PassauPassauGermany
  5. 5.Department of Diagnostic RadiologyPirmasensGermany

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