Role of Combining Grayscale Findings With Superb Microvascular Imaging and Shear Wave Elastography in Standardization and Management of NON-MASS Breast Lesions

医学 恶性肿瘤 弹性成像 放射科 灰度 超声波 病理 人工智能 像素 计算机科学
作者
Seda Aladağ Kurt,Füsun Taşkın,Yasemin Kayadibi,Tülin Öztürk,İbrahim Adaletli,Gül Esen
出处
期刊:Ultrasound Quarterly [Lippincott Williams & Wilkins]
卷期号:40 (3)
标识
DOI:10.1097/ruq.0000000000000689
摘要

Abstract The non-mass breast lesions on ultrasound (US) are a group of challenging pathology. We aimed to standardize these grayscale findings and investigate the effectiveness of superb microvascular imaging (SMI) and shear wave elastography (SWE). A total of 195 lesions were evaluated by B-mode US, SWE, and SMI in the same session. A “NON-MASS model” was built on grayscale US to group the lesions only as areas and those with associated features: microcalcifications, architectural distortion, ductal changes, and microcysts. The mean stiffness parameters E mean , E ratio , and mean vascular index (VI) were recorded following consecutive measurements. Besides, the microvascularity was graded based on Adler's classification (grades 0 to 3). Lesions were divided into 3 groups: benign, category B3, and malignant. One hundred twelve (57.4%) lesions were benign, 23 (11.8%) were B3, and 60 were (30.8%) in the malignant category. Thirty-eight (19.5%) lesions were observed only as an area, whereas associated features were present in 157 lesions (80.5%). Distortion was the only associated feature predicting malignancy among the grayscale findings ( P < 0.001). There was a significant difference between malignant and nonmalignant (benign and B3) groups in terms of Adler's grade, E mean , E ratio , and VI values ( P < 0.001). Sensitivity, specificity, and accuracy increased when advanced imaging parameters were added to grayscale findings ( P < 0.001). In the presence of microcalcifications, architectural distortion, high elasticity, and hypervascularity in the “NON-MASS” imaging model, the suspicion of malignancy increases. The non-mass findings and advanced imaging techniques have the potential to find greater coverage in the following versions of BI-RADS atlas.
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