AI characterizes breast masses on ultrasound

Thursday, March 21, 2019

Aunt Minnie (3/21) reports on a study from the Japanese Journal of Radiology that suggests artificial intelligence (AI) algorithm distinguished between benign and malignant masses on breast ultrasound at a high level of accuracy—perhaps even exceeding the diagnostic performance of less-experienced radiologists.

Increased background parenchymal enhancement level a key biomarker for breast cancer risk

Wednesday, March 20, 2019

Radiology Business (3/20) reports that increased background parenchymal enhancement (BPE) levels at breast MRI are associated with a greater risk of developing breast cancer within a year, according to research published in the American Journal of Roentgenology.

DBT slashes biopsy rates of benign breast lesions

Tuesday, March 19, 2019

Aunt Minnie (3/19, Yee) reports that digital breast tomosynthesis (DBT) reduces the biopsy rate of benign breast lesions by as much as 23 percentage points compared with the rate of full-field digital mammography (FFDM), according to a study published in Radiology.

Breast tissue seems less dense on DBT scans

Tuesday, March 19, 2019

Aunt Minnie (3/19, Yee) reports on a new study in Radiology which states women may be almost 60% less likely to be assigned to a dense breast category if they are evaluated with 3D digital breast tomosynthesis (DBT) compared with standard digital mammography.

DWI helps predict breast cancer cases with metastasis

Tuesday, March 19, 2019

Aunt Minnie (3/19) reports that apparent diffusion coefficient (ADC) values obtained from preoperative MRI with diffusion-weighted imaging (DWI) could help determine which women with breast cancer are at greater risk for developing metastasis, according to a study published in Radiology.