Comparison and Combination of Strain and Shear Wave Elastography of Breast Masses for Differentiation of Benign and Malignant Lesions by Quantitative Assessment: Preliminary Study

2017 ◽  
Vol 37 (1) ◽  
pp. 99-109 ◽  
Author(s):  
Mirinae Seo ◽  
Hye Shin Ahn ◽  
Sung Hee Park ◽  
Jong Beum Lee ◽  
Byung Ihn Choi ◽  
...  
2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Jie Tian ◽  
Qianqi Liu ◽  
Xi Wang ◽  
Ping Xing ◽  
Zhuowen Yang ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xue Zheng ◽  
Fei Li ◽  
Zhi-Dong Xuan ◽  
Yu Wang ◽  
Lei Zhang

Abstract Background To explore the value of quantitative shear wave elastography (SWE) plus the Breast Imaging Reporting and Data System (BI-RADS) in the identification of solid breast masses. Methods A total of 108 patients with 120 solid breast masses admitted to our hospital from January 2019 to January 2020 were enrolled in this study. The pathological examination served as the gold standard for definitive diagnosis. Both SWE and BI-RADS grading were performed. Results Out of the 120 solid breast masses in 108 patients, 75 benign and 45 malignant masses were pathologically confirmed. The size, shape, margin, internal echo, microcalcification, lateral acoustic shadow, and posterior acoustic enhancement of benign and malignant masses were significantly different (all P < 0.05). The E mean, E max, SD, and E ratio of benign and malignant masses were significantly different (all P < 0.05). The E min was similar between benign and malignant masses (P > 0.05). The percentage of Adler grade II-III of the benign masses was lower than that of the malignant masses (P < 0.05). BI-RADS plus SWE yielded higher diagnostic specificity and positive predictive value than either BI-RADS or SWE; BI-RADS plus SWE yielded the highest diagnostic accuracy among the three methods (all P < 0.05). Conclusion SWE plus routine ultrasonography BI-RADS has a higher value in differentiating benign from malignant breast masses than color doppler or SWE alone, which should be further promoted in clinical practice.


2020 ◽  
Vol 24 (1) ◽  
Author(s):  
Nichanametla Sravani ◽  
Ananthakrishnan Ramesh ◽  
Sathasivam Sureshkumar ◽  
Chellappa Vijayakumar ◽  
K.M. Abdulbasith ◽  
...  

Author(s):  
Michael Golatta ◽  
André Pfob ◽  
Christopher Büsch ◽  
Thomas Bruckner ◽  
Zaher Alwafai ◽  
...  

Abstract Purpose In this prospective, multicenter trial we evaluated whether additional shear wave elastography (SWE) for patients with BI-RADS 3 or 4 lesions on breast ultrasound could further refine the assessment with B-mode breast ultrasound for breast cancer diagnosis. Materials and Methods We analyzed prospective, multicenter, international data from 1288 women with breast lesions rated by conventional 2 D B-mode ultrasound as BI-RADS 3 to 4c and undergoing 2D-SWE. After reclassification with SWE the proportion of undetected malignancies should be < 2 %. All patients underwent histopathologic evaluation (reference standard). Results Histopathologic evaluation showed malignancy in 368 of 1288 lesions (28.6 %). The assessment with B-mode breast ultrasound resulted in 1.39 % (6 of 431) undetected malignancies (malignant lesions in BI-RADS 3) and 53.80 % (495 of 920) unnecessary biopsies (biopsies in benign lesions). Re-classifying BI-RADS 4a patients with a SWE cutoff of 2.55 m/s resulted in 1.98 % (11 of 556) undetected malignancies and a reduction of 24.24 % (375 vs. 495) of unnecessary biopsies. Conclusion A SWE value below 2.55 m/s for BI-RADS 4a lesions could be used to downstage these lesions to follow-up, and therefore reduce the number of unnecessary biopsies by 24.24 %. However, this would come at the expense of some additionally missed cancers compared to B-mode breast ultrasound (rate of undetected malignancies 1.98 %, 11 of 556, versus 1.39 %, 6 of 431) which would, however, still be in line with the ACR BI-RADS 3 definition (< 2 % of undetected malignancies).


2019 ◽  
Vol 113 ◽  
pp. 74-80 ◽  
Author(s):  
Maíra Teixeira Dória ◽  
Rodrigo Menezes Jales ◽  
Livia Conz ◽  
Sophie Françoise Mauricette Derchain ◽  
Luís Otávio Zanatta Sarian

2017 ◽  
Vol 43 (2) ◽  
pp. 445-452 ◽  
Author(s):  
Xi Xiang ◽  
Feng Yan ◽  
Yujia Yang ◽  
Yuanjiao Tang ◽  
Liyun Wang ◽  
...  

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