The Value of Ultrasonography Combined with Compression Technique in Differentiation between Benign and Malignant Breast Masses

2001 ◽  
Vol 44 (4) ◽  
pp. 539
Author(s):  
Seong Kuk Yoon ◽  
Ki Nam Lee ◽  
Won Jung Jung ◽  
Kyung Jin Nam
Keyword(s):  
Compression Technique ◽  
Breast Masses ◽  
Malignant Breast

scholarly journals Axial-Shear Strain Imaging for Differentiating Benign and Malignant Breast Masses

2010 ◽  
Vol 36 (11) ◽  
pp. 1813-1824 ◽  
Author(s):  
Haiyan Xu ◽  
Min Rao ◽  
Tomy Varghese ◽  
Amy Sommer ◽  
Sara Baker ◽  
...  
Keyword(s):  
Shear Strain ◽  
Strain Imaging ◽  
Breast Masses ◽  
Axial Shear ◽  
Malignant Breast

Qualitative Diagnosis of Solid Breast Mass by Blood Flow in Solid Breast Mass Based on Color Doppler Ultrasound

2021 ◽  
Vol 11 (6) ◽  
pp. 1608-1615
Author(s):  
Ding Zuopeng ◽  
Liu Weiyong ◽  
Hu Chunmei ◽  
Wang Tao ◽  
Wang Mingming
Keyword(s):  
Breast Cancer ◽  
Blood Flow ◽  
Differential Diagnosis ◽  
Color Doppler ◽  
Flow Characteristics ◽  
Flow Distribution ◽  
Color Doppler Ultrasound ◽  
Blood Flow Distribution ◽  
Breast Masses ◽  
Malignant Breast

The incidence of breast cancer ranks first among female malignant tumor. With the increase of the sensitivity of color Doppler ultrasound blood flow, the blood flow distribution in and around the tumor can be clearly displayed, and the analysis of hemodynamic parameters is provided, which provides convenience for the study of tumor blood flow characteristics. Studies have shown that tumor cells can secrete a substance called angiogenesis factor, which makes the tumor site form a rich vascular network to promote tumor growth and metastasis. The tumor has many new blood vessels, abnormal structure, thin wall, lack of muscle layer, and is prone to form arteriovenous rash. These characteristics provide a pathological basis for color Doppler flow imaging (CDFI) for the diagnosis of breast cancer. This article discusses the role of two-dimensional sonographic features in the differential diagnosis of benign and malignant breast masses, CDFI was used to study the blood flow distribution and hemodynamic characteristics in benign and malignant breast masses; explore the value of blood flow characteristics and blood flow parameters in the differential diagnosis of breast masses. The experimental results show that the detection rate of blood flow signals and the classification of blood flow signals in the malignant group are higher than those in the benign group, mainly level II and III blood flow, and the irregular branched blood flow is more common, especially when the tumor appears penetrating blood flow supports the diagnosis of malignancy. PSV, RI and PI have a certain differential meaning in the diagnosis of benign and malignant breast masses. PSV, RI and PI of malignant masses are higher than benign masses. For tumors without obvious necrosis, the larger the tumor diameter, the richer the blood flow and the higher the blood flow grade is. The malignant tumors have more blood flow than the benign ones.

scholarly journals Application of 3D and 2D quantitative shear wave elastography (SWE) to differentiate between benign and malignant breast masses

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Jie Tian ◽  
Qianqi Liu ◽  
Xi Wang ◽  
Ping Xing ◽  
Zhuowen Yang ◽  
...  
Keyword(s):  
Shear Wave ◽  
Shear Wave Elastography ◽  
Breast Masses ◽  
Malignant Breast

Erdheim-Chester Disease Presenting as Bilateral Clinically Malignant Breast Masses

2010 ◽  
Vol 34 (4) ◽  
pp. 584-588 ◽  
Author(s):  
Elena Provenzano ◽  
Susan J. Barter ◽  
Penelope A. Wright ◽  
Parto Forouhi ◽  
Richard Allibone ◽  
...  
Keyword(s):  
Breast Masses ◽  
Erdheim Chester Disease ◽  
Malignant Breast ◽  
Erdheim Chester ◽  
Chester Disease

scholarly journals Combination of shear wave elastography and BI-RADS in identification of solid breast masses

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xue Zheng ◽  
Fei Li ◽  
Zhi-Dong Xuan ◽  
Yu Wang ◽  
Lei Zhang
Keyword(s):  
Shear Wave ◽  
Breast Imaging ◽  
Color Doppler ◽  
Shear Wave Elastography ◽  
Definitive Diagnosis ◽  
Pathological Examination ◽  
Diagnostic Specificity ◽  
Breast Masses ◽  
Malignant Breast ◽  
Grade Ii

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.

scholarly journals Diagnostic role of shear wave elastography for differentiating benign and malignant breast masses

2020 ◽  
Vol 24 (1) ◽  
Author(s):  
Nichanametla Sravani ◽  
Ananthakrishnan Ramesh ◽  
Sathasivam Sureshkumar ◽  
Chellappa Vijayakumar ◽  
K.M. Abdulbasith ◽  
...  
Keyword(s):  
Shear Wave ◽  
Shear Wave Elastography ◽  
Breast Masses ◽  
Diagnostic Role ◽  
Malignant Breast

Potential MRI Interpretation Model: Differentiation of Benign from Malignant Breast Masses

2005 ◽  
Vol 185 (4) ◽  
pp. 964-970 ◽  
Author(s):  
Ansgar Malich ◽  
Dorothee R. Fischer ◽  
Susanne Wurdinger ◽  
Joachim Boettcher ◽  
Christiane Marx ◽  
...  
Keyword(s):  
Breast Masses ◽  
Malignant Breast ◽  
Interpretation Model

scholarly journals Prediction of benign and malignant breast masses using digital mammograms texture features

2019 ◽  
Vol 30 ◽  
pp. v581
Author(s):  
C. Yanhua ◽  
Y. Li ◽  
J. Zhu ◽  
J. Dong
Keyword(s):  
Texture Features ◽  
Breast Masses ◽  
Malignant Breast

Diagnostic Performance of Multimodal Sound Touch Elastography for Differentiating Benign and Malignant Breast Masses

2018 ◽  
Vol 38 (8) ◽  
pp. 2181-2190 ◽  
Author(s):  
Fajin Dong ◽  
Huaiyu Wu ◽  
Lei Zhang ◽  
Hongtian Tian ◽  
Weiyu Liang ◽  
...  
Keyword(s):  
Diagnostic Performance ◽  
Breast Masses ◽  
Malignant Breast
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