Superb microvascular imaging in diagnosis of breast lesions: a comparative study with contrast-enhanced ultrasonographic microvascular imaging

Abstract

mSMI is a non-invasive technique for vascularity evaluation of breast tumours and it is beneficial for breast tumour differentiation.

Clinical Applications of Superb Microvascular Imaging in the Liver, Breast, Thyroid, Skeletal Muscle, and Carotid Plaques

“…Therefore, to differentiate between benign and malignant breast lesions, the early detection of vascularity and the characterization of tumor microvessels are very important. Recently, SMI was used to evaluate tumor vascularity in breast tumors . Ma et al revealed that in detecting blood flow, the difference between SMI and CDFI was significant for malignant tumors (AUCs of 0.73 for CDFI, 0.81 for SMI, and 0.89 for SMI‐CDFI), indicating that the “SMI‐CDFI” modality had the best diagnostic performance.…”

“…Zhan et al assessed the clinical application of SMI in the detection of penetrating arteries in avascular breast tumors and pointed out that SMI could help improve the accuracy of determining the Breast Imaging Reporting and Data System category by including information about the newly detected penetrating arteries in the tumors. Instead of using semiquantitative grading and the penetrating‐artery method to differentiate breast lesions, Xiao et al used a flow distribution pattern analysis. The authors divided the microvessel architecture of the breast tumor on SMI into 5 patterns: nonvascular pattern, linear‐like pattern, treelike pattern, root hair–like pattern, and crab claw–like pattern.…”

“…Panel d , Monochrome SMI revealed radiating vessels in the margins of the lesion (arrows). Panels e and f , Contrast‐enhanced US imaging and microvascular imaging revealed crab claw–like enhancement (reprinted with permission from Xiao et al).…”

“…Recently, SMI was used to evaluate tumor vascularity in breast tumors. 9,[25][26][27][28][29][30] Ma et al 26 revealed that in detecting blood flow, the difference between SMI and CDFI was significant for malignant tumors (AUCs of 0.73 for CDFI, 0.81 for SMI, and 0.89 for SMI-CDFI), indicating that the "SMI-CDFI" modality had the best diagnostic performance. Zhan et al 9 assessed the clinical application of SMI in the detection of penetrating arteries in avascular breast tumors and pointed out that SMI could help improve the accuracy of determining the Breast Imaging Reporting and Data System category by including information about the newly detected penetrating arteries in the tumors.…”

Characterization of Placental Microvasculature Using Superb Microvascular Imaging

“…Motion artifacts are minimized by eliminating signals attributed to tissue motion. The SMI technology was subsequently examined in various organ systems, including breast tumors, brain tumors, hepatic tumors, liver transplants, cholecystitis, hepatitis, undescended testes, detection of endoleaks after aneurysm repair, and the evaluation of high‐grade vesicoureteral reflux in children with urinary tract infections …”