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

[1] Watanabe T(2019)B-mode ultrasound diagnostic flowchart for solid breast masses -JABTS BC-01 study Ultrasound Med Biol 45 S59-146

[2] Kaoku S(2019)A Prospective Study on the Value of Ultrasound Microflow Assessment to Distinguish Malignant from Benign Solid Breast Masses: Association between Ultrasound Parameters and Histologic Micro vessel Densities Korean J Radiol 20 759-6

[3] Ban K(2019)Acoustic Radiation Force Impulse (ARFI) assessment of differential diagnosis of malignant and benign solid breast masses Ultrasound Med Biol 45 S53-2584

[4] Park AY(2021)Real-time ultrasound virtual navigation in 3D PET/CT volumes for superficial lymph node evaluation: an innovative fusion examination Ultrasound Obst Gynecol 58 766-6410

[5] Kwon M(2018)Visually interpretable deep network for diagnosis of breast masses on mammograms Phys Med Biol 63 235025-undefined

[6] Woo OH(2018)Use of the probably benign (BI BI - RADS RADS category 3) assessment for masses on breast MRI MRI : Is it transferable to general clinical practice? Breast J 24 109-undefined

[7] Tran C(2020)Grayscale color mapping with the mathematical analysis of an ultrasound image in the differential diagnosis of cystic and solid breast masses Vestn Rentgenol Radiol 101 136-undefined

[8] Vo Q(2019)A quantitative ultrasound-based multi-parameter classifier for breast masses Ultrasound Med Biol 45 1603-undefined

[9] Garganese G(2018)Management of palpable pediatric breast masses with ultrasound characteristics of fibroadenoma: a more conservative approach Am J Roentgenol 212 1-undefined

[10] Bove S(2020)Classification of breast masses on ultrasound shear wave elastography using convolutional neural networks Ultrason Imaging 42 016173462093260-undefined

[1] Watanabe T(2019)B-mode ultrasound diagnostic flowchart for solid breast masses -JABTS BC-01 study Ultrasound Med Biol 45 S59-146

[2] Kaoku S(2019)A Prospective Study on the Value of Ultrasound Microflow Assessment to Distinguish Malignant from Benign Solid Breast Masses: Association between Ultrasound Parameters and Histologic Micro vessel Densities Korean J Radiol 20 759-6

[3] Ban K(2019)Acoustic Radiation Force Impulse (ARFI) assessment of differential diagnosis of malignant and benign solid breast masses Ultrasound Med Biol 45 S53-2584

[4] Park AY(2021)Real-time ultrasound virtual navigation in 3D PET/CT volumes for superficial lymph node evaluation: an innovative fusion examination Ultrasound Obst Gynecol 58 766-6410

[5] Kwon M(2018)Visually interpretable deep network for diagnosis of breast masses on mammograms Phys Med Biol 63 235025-undefined

[6] Woo OH(2018)Use of the probably benign (BI BI - RADS RADS category 3) assessment for masses on breast MRI MRI : Is it transferable to general clinical practice? Breast J 24 109-undefined

[7] Tran C(2020)Grayscale color mapping with the mathematical analysis of an ultrasound image in the differential diagnosis of cystic and solid breast masses Vestn Rentgenol Radiol 101 136-undefined

[8] Vo Q(2019)A quantitative ultrasound-based multi-parameter classifier for breast masses Ultrasound Med Biol 45 1603-undefined

[9] Garganese G(2018)Management of palpable pediatric breast masses with ultrasound characteristics of fibroadenoma: a more conservative approach Am J Roentgenol 212 1-undefined

[10] Bove S(2020)Classification of breast masses on ultrasound shear wave elastography using convolutional neural networks Ultrason Imaging 42 016173462093260-undefined