HealthImaging (9/20, Rohman) reports researchers developed “novel computer simulations of the female body” that “may help predict how more than 20 different breast tissue ratios will respond to MRI varying in radiofrequency.” The researchers published their findings in Magnetic Resonance in Medicine. The article mentions that “the researchers created their computer models by fusing 36 female phantoms with various breast densities as classified by the American College of Radiology Breast Imaging Reporting and Data System Atlas.” The Radiology Business Journal (9/20, Thakar) also covers the story.
Aunt Minnie (9/20, Yee) reports that research indicates “allowing women some measure of control over breast compression at mammography doesn’t reduce image quality or increase radiation dose – and it may, in fact, encourage them to return for needed breast imaging.” The findings were published online in the European Journal of Cancer.
Aunt Minnie (9/19, Yee) reports research indicates nearly “half of women are unaware of the importance of having baseline mammography exam data available at screening mammography – which puts them at a higher risk of having false-positive results and being recalled.” The findings were published online in the Journal of the American College of Radiology.
Aunt Minnie (9/17, Yee) reports researchers found that “breast MRI is an effective tool for further assessment of inconclusive digital breast tomosynthesis (DBT) findings.” The findings were published in the American Journal of Roentgenology.
The Radiology Business Journal (9/14, Walter) reported researchers found that “cone-beam breast CT (CBBCT) is an effective imaging modality for assessing a patient’s breast density.” The researchers “analyzed breast density assessments of 130 patients performed by a team of five radiologists. Radiologists studied two-view mammograms and CBBCT images, referring to the fifth edition of the American College of Radiology’s Breast Imaging Reporting and Data System (BI-RADS).” The findings were published in Academic Radiology.