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Ultrasound (US) elastography is a valuable imaging technique for tissue characterization. Two main types of elastography, strain and shear-wave, are commonly used to image breast tissue. The use of elastography is expected to increase, particularly with the increased use of US for breast screening. Recently, the US elastographic features of breast masses have been incorporated into the 2nd edition of the Breast Imaging Reporting and Data System (BI-RADS) US lexicon as associated findings. This r

We evaluated the mammographic (n = 16) and ultrasonographic (n = 15) findings of 18 patients with metastatic breast carcinoma. Fifteen patients showed multiple or diffuse lesions and three patients showed single lesions. Ten patients (55.6%) had bilateral lesions. Mammography revealed high density (15 cases, 93.8%), round to oval (11 cases, 68.8%) lesions with poorly defined or obscured margins (12 cases, 75.0%). No associated calcification was found in any lesion. Ultrasonographically, poorly d

CEDM demonstrated a diagnostic performance comparable with CEMRI in depicting index cancers, secondary cancers, and occult cancer in the contralateral breast. CEDM demonstrated similar changes in surgical management compared with CEMRI.

BACKGROUND: The aim of this study was to determine the feasibility of image-guided marker-clip placement in axillary lymph nodes (ALNs) for breast cancer upon initial presentation and to assess the reliability of this method with sentinel lymph node biopsy (SLNB) for axillary restaging after neoadjuvant chemotherapy (NAC). METHODS: Between June 2015 and August 2016, a marker clip was placed at a clinically positive ALN under ultrasonography (US) guidance before initiation of NAC in 20 patients.

Surgical clips may replace commercial tissue markers for tumor localization in breast cancer patients undergoing NAC without migration. Surgical clips are well tolerated and safe for the patient, easily visualized on imaging, do not interfere with treatment response, and are cost-effective.

To compare the accuracy of contrast-enhanced digital mammography (CEDM) and MRI, including maximal intensity projection (MIP) images, for measuring the tumour size of breast cancer. We included 52 females (mean age, 50.9 years) with surgery due to breast cancer, and measured maximum diameter of main mass on mediolateral oblique (MLO) and craniocaudal (CC) views of mammography and CEDM; sagittal, axial MIP images, and early dynamic contrast-enhanced MRI (CEMRI) before surgery. Bland–Altman plot,

Tumor characteristics were different between TRN and non-TRN breast cancers, although US cannot differentiate the subtype of breast cancers TRN cancer tend to show somewhat different US morphology.

BACKGROUND: Artificial intelligence (AI) algorithms for the independent assessment of screening mammograms have not been well established in a large screening cohort of Asian women. We compared the performance of screening digital mammography considering breast density, between radiologists and AI standalone detection among Korean women. METHODS: We retrospectively included 89,855 Korean women who underwent their initial screening digital mammography from 2009 to 2020. Breast cancer within 12 mo

The purpose was to present mean breast density of Korean women according to age using fully automated volumetric assessment. This study included 5,967 screening normal or benign mammograms (mean age, 46.2 ± 9.7; range, 30-89 years), from cancer-screening program. We evaluated mean fibroglandular tissue volume, breast tissue volume, volumetric breast density (VBD), and the results were 53.7 ± 30.8 cm3, 383.8 ± 205.2 cm3, and 15.8% ± 7.3%. The frequency of dense breasts and mean VBD by age group w

Purpose: Triple receptor-negative (TRN) breast cancer is associated with high risk of recurrence and poor prognosis. The pre- sent study assessed the clinicopathologic characteristics and ultrasound (US) features of TRN breast cancers. Methods: Pathol- ogical and biological data were reviewed for 558 breast cancer patients treated at Kangbuk Samsung Hospital, between January 2003 and December 2009. The patients were separated into TRN breast cancer and non-TRN breast cancer groups, based on the