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.
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.
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.
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.
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.