Dear AuntMinnieEurope Member,
"Advances in both imaging technology and machine-learning methods promise fresh new science and translational applications." These are fine words from Dr. Dante Chiappino from Pisa, Italy. But how exactly can machine learning improve patient care?
Chiappino and his colleagues have tried to answer this question by describing a practical initiative that's already bringing promising results. Read more about their work in our Imaging Informatics Community, or by clicking here.
News broke last week of a fall in uptake for breast screening in England, particularly in London and the Northwest. To find out what lies behind this trend, we asked two radiologists who have been closely involved in breast screening to comment on the new data. Find out what they said in the Women's Imaging Community, or click here.
The debate over breast screening is one of the most polarized in medicine, with proponents and skeptics of screening serving up contradictory studies, according to a Norwegian researcher. What's more, people from opposing camps often come to radically different conclusions from the same data. To get a fresh perspective on the ethical aspects behind screening, click here.
MR enterography is a useful tool for evaluating the small bowel. It can demonstrate mural and extramural complications, and its high contrast resolution, multiplanar capability, cine imaging, and lack of ionizing radiation make it ideal for prolonged follow-up and for younger patients. Radiologists in Tehran, Iran, have shared their experiences based on 1,100 examinations. To find out about the 10 lessons they've learned, click here.
Meanwhile, Egyptian researchers have described how they're using whole-body MRI for the accurate and early assessment of oncology patients. Whole-body diffusion-weighted MRI can provide valuable functional information about tissue cellularity and intercellular water movement, plus differentiate between benign and malignant tumors, they have found. Get the full details here.
