Dear AuntMinnie member,
Opportunistic screening of routine CT exams has generated a lot of attention in recent years. And a new study is highlighting the potential for AI to identify osteoporotic vertebral fractures on routine lumbar CT exams. You can get all of the details here.
Other recent stories in our CT content area included a report on how a quality improvement program can reduce CT exam turnaround times and the performance of AI models in detecting pancreatic cancer.
A recent study tied air pollution to worse coronary disease on CT, especially in women. A new guideline has been published for the use of fractional flow reserve in coronary CT angiography.
In other news, AI showed high sensitivity but only moderate specificity for classifying lung nodule malignancy on chest CT. And an AI-assisted approach to lung cancer screening can significantly improve patient uptake of low-dose CT exams and help detect cancer earlier.
Fat deposits found on pre-pandemic CT exams were also found to predict COVID-19 severity in patients. Also, collateral blood vessel status measured on CT angiography may be able to predict outcomes in stroke patients. Furthermore, an AI algorithm was shown to perform best when used with radiologist readers for pulmonary embolism detection.
You can also find these and our recent coverage of CT-related topics by visiting our CT content area.
Have a CT topic you’d like to see covered? Feel free to drop me a line.
Erik L. Ridley
Editor in Chief
AuntMinnie.com
