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Image Quality of the Temporal Bone Window Examined by Transcranial Doppler Sonography and Correlation with Postmortem Computed Tomography Measurements

Authors :
Dirk W. Droste
Vineet Mehta
Gernot Schulte-Altedorneburg
József Kollár
László Csiba
J. Sikula
E. Bernd Ringelstein
Béla Fülesdi
Source :
Cerebrovascular Diseases. 17:61-65
Publication Year :
2003
Publisher :
S. Karger AG, 2003.

Abstract

Background and Purpose: The major limitation of native transcranial colour-coded duplex sonography (TCCS) in older stroke patients is the relatively frequent occurrence of an insufficient temporal window. Our goal was to investigate the relationship between the in vivo Doppler ultrasound image quality of the temporal bone, and computed tomography (CT)-determined thickness, density, and homogeneity of cadaver temporal bone. Methods: Thirty-three moribund neurological patients who eventually died were examined by TCCS using the transtemporal approach. The sonographer categorized the quality of the TCCS image (excellent, intermediate, and poor). During autopsy, a rectangular sample of the temporal squama was removed, which corresponded to the area of the in vivo acoustic window. The thickness of the whole temporal bone, cortical, and cancellous (= diploe) bone as well as the density and homogeneity were determined by high-resolution CT. Results: Thirty-seven temporal bones were obtained. The quality of the acoustic window was classified as excellent in 13, intermediate in 6 and poor in 18 cases. A significant correlation between the complete bone thickness, as well as between the absolute thickness of the diploe and the quality of the acoustic window was found: the thinner the bone/diploe, the better the colour Doppler signal. The thickness of the cortical plates and the homogeneity of the bones were identical in the three image quality categories. Conclusion: The transtemporal TCCS image quality depends mainly on the thickness of the cancellous component of the temporal bone.

Details

ISSN :
14219786 and 10159770
Volume :
17
Database :
OpenAIRE
Journal :
Cerebrovascular Diseases
Accession number :
edsair.doi.dedup.....d79192a8f49b929cd6fe3b9c2a631fb5