Photon-counting breast CT shows promise
April 27, 2017 -- Tests of a prototype photon-counting detector breast CT scanner show that the system could be useful as an adjunct to low-dose breast CT by separating the energy levels of different types of materials within the breast to assess tissue composition and improve cancer diagnosis.
Breast MRI: Not just for high-risk women
April 18, 2017 -- Screening breast MRI is a valuable tool in routine clinical practice across a spectrum of women at elevated risk for breast cancer -- not just those who meet the conventional definitions of high risk, according to a study published in the April issue of Academic Radiology.
Study finds contrast mammo an alternative to breast MRI
April 12, 2017 -- Contrast-enhanced digital mammography (CEDM) may be a cost-effective modality for additional diagnostic evaluation -- and, specifically, a viable substitute for breast MRI, according to a study published online April 5 in the American Journal of Roentgenology.
'Inexplicably,' doctors support breast screening at 40
April 10, 2017 -- Despite conflicting breast cancer screening guidelines, more than 80% of primary care providers and gynecologists continue to recommend that their patients start mammography screening at age 40, according to a research letter published online April 10 in JAMA Internal Medicine.
SBI: Immediate tomo reads don't increase recall rates
April 7, 2017 -- Reading digital breast tomosynthesis exams immediately after they're acquired doesn't necessarily increase recall rates, according to research presented on April 7 at the Society of Breast Imaging (SBI) conference in Los Angeles.
How accurate are DCIS predictions from radiologists?
March 30, 2017 -- Radiologists can predict the presence of invasive cancer with fairly high accuracy, but their accuracy dips when it comes to predicting ductal carcinoma in situ (DCIS), according to a study published in the April issue of the American Journal of Roentgenology.
AIUM: Machine learning may aid breast ultrasound reads
March 28, 2017 -- ORLANDO, FL - After analyzing quantitative information from breast ultrasound exams, machine-learning technology can achieve high sensitivity and specificity for breast cancer, according to research presented on Monday at the American Institute of Ultrasound in Medicine (AIUM) meeting.
DBT improves sensitivity in less-experienced readers
March 28, 2017 -- Adding digital breast tomosynthesis (DBT) to 2D screening mammography has a different effect based on who's reading the images, according to a new study published online on March 13 in Radiology. It improves specificity for all readers, but sensitivity improvements are reserved for more junior radiologists.
Can deep-learning CAD outperform mammographers?
March 23, 2017 -- Can computer-aided detection (CAD) software developed with deep-learning technology perform better than mammographers? Yes it can, at least for the task of differentiating between benign and malignant calcifications, according to a team of researchers from California.
How useful are second opinion breast imaging reads?
March 23, 2017 -- A second opinion review of breast images from other institutions leads to a change in interpretation -- and potentially disease management decisions -- in almost 30% of patients, according to a study published online March 16 in the American Journal of Roentgenology.
Special Feature
Improving the patient experience benefits everyone
Improving the patient experience benefits everyone

As a diagnostic radiologist, Dr. Jennifer Adams has always been sensitive to the concerns and fears that patients can have when faced with medical imaging procedures. But she gained a new perspective when she was diagnosed with breast cancer at the age of 38. Read more