ArticleOncology letters2019
A comparative study on superb microvascular imaging and conventional ultrasonography in differentiating BI-RADS 4 breast lesions.
Article in Oncology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Optimizing S-detect classification accuracy for BI-RADS 4 breast nodules using multimodal ultrasound parameters.Quantitative imaging in medicine and surgery · 2026Article
- A preliminary study on the diagnostic value of contrast-enhanced ultrasound and micro-flow imaging for detecting blood flow signals in breast cancer patients.Gland surgery · 2024Article
- Use of a commercial artificial intelligence-based mammography analysis software for improving breast ultrasound interpretations.European radiology · 2024Article
- Ultrasound-Based Noncontrast Microvascular Imaging for Evaluation of Breast Lesions: Imaging Techniques and Review of Diagnostic Criteria.The Indian journal of radiology & imaging · 2024Review
- Integrating the incident angle of main vessel of breast nodule with BI-RADS can improve the efficacy of breast malignancy evaluation.Scientific reports · 2024Article
- Article
- Multimodal ultrasound imaging for diagnostic differentiation of sclerosing adenosis from invasive ductal carcinoma.Quantitative imaging in medicine and surgery · 2024Article
- A Novel Nomogram Based on Imaging Biomarkers of Shear Wave Elastography, Angio Planewave Ultrasensitive Imaging, and Conventional Ultrasound for Preoperative Prediction of Malignancy in Patients with Breast Lesions.Diagnostics (Basel, Switzerland) · 2023Article
- Translating new breast ultrasound techniques into clinical practice: evaluating their intended uses and describing other unexpected uses for them.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2023Review
- The application value of CDFI and SMI combined with serological markers in distinguishing benign and malignant thyroid nodules.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2022Article
- Diagnostic Value of Superb Microvascular Imaging in Differentiating Benign and Malignant Breast Tumors: A Systematic Review and Meta-Analysis.Diagnostics (Basel, Switzerland) · 2022Review
- Prospective analysis of breast masses using the combined score for quantitative ultrasonography parameters.Scientific reports · 2022Article
- The comparative study of color doppler flow imaging, superb microvascular imaging, contrast-enhanced ultrasound micro flow imaging in blood flow analysis of solid renal mass.Cancer imaging : the official publication of the International Cancer Imaging Society · 2022Article
- Consistency Analysis of CTLM Imaging and Mammography in the Diagnosis of Breast Tumor Lesions.Journal of healthcare engineering · 2022Article
- Breast metastases from primary lung cancer: a retrospective case series on clinical, ultrasonographic, and immunohistochemical features.Translational lung cancer research · 2021Article
- Application of a second opinion ultrasound in Breast Imaging Reporting and Data System 4A cases: can immediate biopsy be avoided?The Journal of international medical research · 2021Article
- Classification of malignant tumours in breast ultrasound using unsupervised machine learning approaches.Scientific reports · 2021Article
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7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This prospective study aimed to explore the diagnostic value of superb microvascular imaging (SMI) in differentiating Breast Imaging Reporting and Data System (BI-RADS) 4 breast lesions compared with conventional ultrasonography (US). A total of 111 patients with 116 breast lesions underwent grayscale ultrasound (US), colour Doppler flow imaging (CDFI) and SMI breast imaging between February 2016 and May 2018. CDFI and SMI were performed to evaluate vascular quantity, morphology, and distribution characteristics. The detection of malignancy was compared between grayscale US alone, US + CDFI and US + SMI in terms of the BI-RADS stratification system. SMI was observed to be significantly more accurate in distinguishing malignant breast lesions (86.67%) compared with CDFI (80.00%) (P<0.001). Among malignant lesions, SMI detected 80.00% of those that contained ≥4 vessels, while CDFI only detected 56.67%. Penetrating and branching vessels were identified by SMI in 53.33% of malignant breast lesions and by CDFI in 10.00%. There was no significant difference in vascular distribution by SMI (P=0.094) and by CDFI (P=0.087). US + SMI was associated with higher sensitivity, specificity, and accuracy rates (86.67, 83.72 and 84.48%, respectively) compared with US + CDFI (80.00, 72.09 and 74.14%, respectively). The area under the curve values from receiver operating characteristic analysis of US + SMI, US + CDFI and US alone were 0.852 [95% confidence interval (CI): 0.768-0.936)] 0.760 (95% CI: 0.660-0.860), 0.698 (95% CI: 0.589-0.807), respectively (P<0.001). SMI yielded more detailed vascular information associated with malignant breast masses when compared with conventional US. Therefore, as an adjunct to grayscale, SMI exhibited a markedly improved diagnostic capability in distinguishing malignant and benign breast lesions, particularly those of BI-RADS category 4.
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