The connection between chronic emotional stress and subsequent cardiovascular disease has long been substantiated on mostly circumstantial evidence. Now it’s been empirically established with imaging: A new study has put pictures to the heretofore unseen brain mechanism behind the mind/body double trouble.
Researchers have shown that machine learning of 3D patterns in cardiac MRI can improve accuracy when it comes to predicting survivability of—and potentially guiding care for—patients with high blood pressure in the lungs.
An exemplary radiology department has demonstrated how to apply the innovative business-management technique called “time-driven activity-based costing,” or TDABC, to fix some common and costly workflow inefficiencies in radiology.
The HHS department, collaborating with various private-sector partners, launched the Million Hearts initiative to fight heart attacks and strokes back in 2011. The Precision Medicine Initiative and BRAIN Initiative followed, both with stroke as a key target. Well and good, but the concerted stroke-busting efforts to date have mostly stressed genomics, novel biomarkers and innovative data. Where’s the imaging?
Breast imaging practices that have screening recall rates of at least 12 percent but less than 14 percent are in the “sweet spot” for optimal detection of breast cancer. Practices that call back more than 14 percent of screening patients see little incremental benefit, while those that come in under 10 percent risk missing many cancers.