Arifa Mobeen, Syed Amir Gilani, Rafia Shahzad, Sajid Shaheen Malik, Mehreen Fatima.
Comparison of elastography and superb-microvascular imaging (SMI) with grey scale ultrasound and doppler respectively in benign and malignant breast lesions.
Pak J Radiol Jan ;28(4):294-9.

Abstract: Ultrasound elastography (SW & Strain) is a medical imaging method that maps the elastic properties of soft tissues and provides additional characterization information for recognizing benign and malignant breast tumors over conventional sonography like clinical palpation examination but these mode shows color elasticity maps with quantitative values in real time. Doppler imaging can also help differentiate benign from malignant masses. SMI (superb microvascular imaging), new ultrasound technique for evaluating micro-vessels and is more sensitive in blood flow detection than conventional Doppler. Objective: To compare elastography and superb-microvascular imaging (SMI) with grey scale ultrasound and Doppler respectively in benign and malignant breast lesions. Method: A comparative cross sectional study with convenient sampling technique was used. The study was conducted at Diagnostic Radiology Department of Institute of nuclear medicine and oncology Lahore (INMOL Hospital) from July 2016 to March 2017. A sample of 105 women with symptoms and screen detected breast masses prior to surgery, biopsy or fine-needle aspirations were selected. Results: Comparison of ultrasound elastography, using elasticity score versus B-mode ultrasonography using breast imaging reporting and data system (BI-RADS). Tumors were considered malignant if they have elasticity score 3 or higher and elasticity values (>70 Kpa) along with the high vascularity detection on SMI. The sensitivity and specificity of BI-RADS with elastography was 98.07% and 85.71% respectively. Conclusion: Ultrasound elastography is a noninvasive and reliable method to distinguish low-risk lesions and decreasing pointless interventional diagnostic methods. If we combined B-mode ultrasound with strain, SWE and SMI on the lesions, the diagnostic performance would be improved.

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