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Evaluation the accuracy of diagnostic criteria of basilar artery stenosis by transcranial Doppler combined with transcranial color code sonography / 中华医学超声杂志(电子版)
Chinese Journal of Medical Ultrasound (Electronic Edition) ; (12): 271-277, 2015.
Article in Chinese | WPRIM | ID: wpr-637275
ABSTRACT
ObjectiveTo investigate the accuracy of hemodynamic parameters of diagnostic criteria for basilar artery stenosis by transcranial Doppler (TCD) combined with transcranial color code sonography (TCCS).Methods261 cases with basilar artery stenosis detected by TCD or TCCS and confirmed by DSA were included in this study. The velocity of peak systolic (PSVBA), end diastolic (EDVBA), mean velocity (MFVBA), the depth (D) at the stenosis, the highest PSV of bilateral posterior cerebral arteries (PSVPCA) and intracranial segment of vertebral artery (PSVVA) were detected and recorded respectively. Depending on the findings of DSA, the receiver operating characteristic curve (ROC) was used to evaluated the sensitivity, specificity and accuracy for the PSVBA, EDVBA, MFVBA, PSVBA/PSVVA and PSVBA/PSVPCA. ResultsThe depth of proximal, middle and distal segment of basilar artery stenosis were detected at (90±5.4) mm, (97+3.0) mm, and (104+4.2) mm respectively. The best parameter of diagnostic criteria for the mild、middle and severe basilar artery stenosis were 110 cm/s≤PSVBA≤150 cm/s or 65 cm/s≤MFVBA≤90 cm/s, 150 cm/s≤PSVBA≤210 cm/s or 90 cm/s≤MFVBA≤135 cm/s and PSVBA≥210 cm/s or PSVBA/PSVVA≥3.5.ConclusionThe combination of TCD and TCCS, and choosing the hemodynamic parameters of PSV, MFV and PSVBA/PSVVA , can better assess the basilar artery stenosis, especially for severe basilar artery stenosis.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study Language: Chinese Journal: Chinese Journal of Medical Ultrasound (Electronic Edition) Year: 2015 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study Language: Chinese Journal: Chinese Journal of Medical Ultrasound (Electronic Edition) Year: 2015 Type: Article