Dear AuntMinnieEurope Member,
Researchers appear to be stepping up their efforts to explore the effectiveness and feasibility of risk modeling for breast cancer from deep-learning algorithms.
The latest findings from a large study being conducted in this area were published in Radiology on Tuesday. The U.K.-led team focused on AI’s ability to detect interval breast cancers, and its results deserve close inspection.
Another new article that caught our eye this week came from Sicily, and it was about imaging of gunshot injuries. The authors elaborated on why there is growing recognition of postmortem CT as a valuable tool in forensic investigations.
The annual scientific meeting of the Royal Australian and New Zealand College of Radiologists drew to a close in Melbourne last weekend. At the congress, a group of pediatric radiologists from Sydney shared their experiences with imaging for orbital conditions.
Patients with Li-Fraumeni syndrome, a genetic condition in which the risk for developing certain types of cancer is exceptionally elevated, require regular surveillance for early cancer detection. When used appropriately, whole-body MRI can be particularly helpful in these cases, German authors believe.
Fat accumulation in the liver may be a key driver of insulin resistance and subsequent development of diabetes, another MRI study has found. Don’t miss our coverage of this research.
Philip Ward
Editor in Chief
AuntMinnieEurope.com
