Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comparative Study
. 2015 Sep;94(36):e1502.
doi: 10.1097/MD.0000000000001502.

The Diagnostic Value of Superb Microvascular Imaging (SMI) in Detecting Blood Flow Signals of Breast Lesions: A Preliminary Study Comparing SMI to Color Doppler Flow Imaging

Affiliations
Comparative Study

The Diagnostic Value of Superb Microvascular Imaging (SMI) in Detecting Blood Flow Signals of Breast Lesions: A Preliminary Study Comparing SMI to Color Doppler Flow Imaging

Yan Ma et al. Medicine (Baltimore). 2015 Sep.

Abstract

The correlation between color Doppler flow imaging (CDFI) and Superb Microvascular Imaging (SMI) for detecting blood flow in breast lesions was investigated, as was the diagnostic value of SMI in differentiating benign from malignant breast lesions.These lesions were evaluated using both CDFI and SMI according to Adler's method. Pathologic examination showed 57 malignant lesions and 66 benign lesions. The number of blood vessels in a single mass was detected by 2 techniques (SMI and CDFI), and the difference between the 2 values (SMI-CDFI) was calculated. The optimal threshold for the diagnosis of malignant neoplasms and the diagnostic performances of SMI, CDFI, and SMI-CDFI were calculated.For the total lesions and malignant lesions alone, the difference between SMI and CDFI for detecting blood flow was significant (P < 0.01), but the difference was not significant for benign lesions (P = 0.15). The area under the receiver operating characteristic curve was 0.73 (95% confidence interval [CI]: 0.64-0.82) for CDFI; 0.81 (95% CI: 0.74-0.89) for SMI; and 0.89 (95% CI: 0.82-0.95) for SMI-CDFI. Furthermore, the modality of "SMI-CDFI" showed the best diagnostic performance.SMI provides further microvessel information in breast lesions. The diagnostic modality of "SMI-CDFI" can improve the diagnostic performance of ultrasound in the differentiation between benign and malignant masses.

PubMed Disclaimer

Conflict of interest statement

The authors have no conflicts of interest to disclose.

Figures

FIGURE 1
FIGURE 1
A 38-year-old woman with fibroadenoma. The vascularity of the breast mass was investigated using CDFI (A), and the map showed that 1 vessel was detected, which was grade 1 according to Adler's method. The vascularity of the breast mass was investigated using SMI (B), and the map showed that 1 vessel was detected, which was grade 1 according to Adler's method. CDFI = color Doppler flow imaging, SMI = Superb Microvascular Imaging.
FIGURE 2
FIGURE 2
A 36-year-old woman with invasive ductal carcinoma. The vascularity of the breast mass was investigated using CDFI (A), and the map showed that 4 vessels were detected, which were grade 3 according to Adler's method. The vascularity of the breast mass was investigated using SMI (B), and the map showed that 7 vessels were detected, which were grade 3 according to Adler's method. CDFI = color Doppler flow imaging, SMI = Superb Microvascular Imaging.

References

    1. Liu H, Jiang Y, Dai Q, et al. Peripheral enhancement of breast cancers on contrast-enhanced ultrasound: correlation with microvessel density and vascular endothelial growth factor expression. Ultrasound Med Biol 2014; 40:293–299. - PubMed
    1. Tozaki M, Toi M, Miyamoto Y, et al. Power Doppler sonography of breast masses: correlation of Doppler spectral parameters with tumor angiogenesis and histologic growth pattern. J Ultrasound Med 2000; 19:593–600. - PubMed
    1. Bitencourt AG, Lima EN, Chojniak R, et al. Multiparametric evaluation of breast lesions using PET-MRI: initial results and future perspectives. Medicine (Baltimore) 2014; 93:e115. - PMC - PubMed
    1. Shen ZY, Hu B, Wu MF. Correlation between Blood Flow Signal of Color Flow Imaging and Nottingham Prognostic Index in Patients with Breast Carcinoma. Breast Care (Basel) 2012; 7:126–130. - PMC - PubMed
    1. Wang Y, Dan HJ, Fan JH, et al. Evaluation of the correlation between colour power Doppler flow imaging and vascular endothelial growth factor in breast cancer. J Int Med Res 2010; 38:1077–1083. - PubMed

Publication types