Aunt Minnie (6/21) reports that computer-aided detection (CAD) systems help less experienced readers improve their performance in detecting breast cancer on automated breast ultrasound (ABUS) screening exams, according to a study published in Radiology.
Radiology Business (6/20) reports that a risk-based program in Northern Ireland (NI) has found significant success, amid debate in the United States about the merits of risk-based breast cancer screening vs. age-based screening. A new study published in Clinical Radiology examined the program in detail.
Aunt Minnie (6/20) reports on an artificial intelligence (AI) algorithm that analyzes mammograms and patient clinical information in electronic health records (EHR) can accurately diagnose breast cancer— even in many cases in which cancers are missed by radiologists, according to research published online in Radiology.
Health Imaging (6/19) reports that Computer-aided detection (CAD) can help inexperienced radiologists detect cancers on automated breast (AB) ultrasound (US), particularly in asymptomatic women. Moreover, CAD used in concurrent-reading mode improves the diagnostic performance of both novice and experienced readers, while shortening overall reading times, according to a study published in Radiology.
Aunt Minnie (6/19) reports that MRI finds breast cancer earlier than digital mammography in women with a family history of the disease but without known genetic mutations, according to research published in Lancet Oncology. But the improved detection comes at a risk of more false positives.