Experts found that although abbreviated protocols increased the amount of possible scans per hour from 4.7 to 18.8, non-scanning time rose from 50% to 74%.

A recent analysis of 51 patients revealed that contrast-enhanced mammography and MRI offered comparable assessments of lesion size, and both had similar specificity for pathologic complete response.

In addition to CE-MRI's increased sensitivity for identifying breast cancers, the researchers also found the modality had superior negative likelihood ratios with higher pre-test probabilities for safely ruling out malignancy. 

"The present study validated the feasibility of using MRI-based radiomics to identify a disease prone to missed diagnosis and misdiagnosis," experts involved in the study said.

AI can safely and accurately identify healthy breast tissue on ultrafast breast MRI, negating the need for a radiologist’s closer look and, in the process, lowering cancer screening costs and widening patient access to breast MRI.

Researchers have developed a prediction model that takes into account both imaging (post-NAC breast MRI) and clinical-pathologic features when forecasting patients' overall survival.

AB-MRI is a cost-effective means of screening women with dense breast tissue for breast cancer—as long as the per-exam costs don’t top 82% of what would have been spent to perform full-protocol breast MRI.

Women who underwent magnetic resonance imaging experienced more subsequent scans, procedures, healthcare visits and hospitalizations.