4-Dimensionally Guided 3-Dimensional Color-Doppler Ultrasonography Quantifies Carotid Artery Stenosis With High Reproducibility and Accuracy.

OBJECTIVES

The purpose was to analyze the agreement and binary accuracy of the degree of internal carotid artery stenosis (ICAS) as determined by 4-dimensionally (4D) real-time gray-scale guided 3-dimensional (3D) color-Doppler ultrasonography (3DC-US) (4D/3DC-US) compared with catheter angiography (CA) and duplex ultrasonography (DUS). This study hypothesized that 4D/3DC-US is noninferior to CA and DUS in grading ICAS in selected patients.

BACKGROUND

Clinical stratification in patients with ICAS largely depends on a patient's symptomatic status and the degree of stenosis.

METHODS

Screening with 4D/3DC-US was prospectively performed in 93 study patients (with 122 ICASs), thus yielding 80 patients for analysis (with 103 ICASs) after excluding patients with insufficient image quality, previous revascularization, and contraindications to CA. The ultrasound examination (10 MHz) consisted of consensus conform DUS examination and independent real-time 4D-guided gray-scale views for orientation followed by static 3DC-US NASCET (North American Symptomatic Carotid Endarterectomy Trial) percent stenosis quantification using off-line multiplanar rendering. Multiplanar selective CA of the same ICASs was quantified with dedicated software in a blinded fashion.

RESULTS

Quantitative CA of 103 stenoses with a mean degree of 65 ± 17% was compared with 4D/3DC-US, with a resulting concordance correlation coefficient of 0.89 and a standard deviation of differences (SDD) of 8.1% at a bias of +1.7%. Binary 50% and 70% stenosis detection with 4D/3DC-US revealed a sensitivity of 97% and 87%, respectively, and a specificity of 92% and 84%, respectively. Interobserver SDD for CA of 52 stenoses (7.2%) did not differ from SDD for 4D/3DC-US and CA (p = 0.274). Accuracy of 50% stenosis detection by 4D/3DC-US was tendentially higher compared with DUS (96% vs. 91%).

CONCLUSIONS

The 4D/3DC-US method provides reliable and accurate stenosis quantification and binary classification with good diagnostic accuracy compared with CA and DUS.