Radiology Comic: The First MR Images

For women with intermediate risk and a personal history of breast cancer, an emerging AI system offered an 81 percent AUC for breast cancer detection, according to new research.

An interview with two experts to discuss newly released guidance for using standardized MRI protocols for patients with this condition.

For patients with newly diagnosed obstructive coronary artery disease (CAD), a multimodal machine learning model offered an 86 percent AUC for predicting MACE, which was 10 percent higher than CCTA alone and over 35 percent higher than the Framingham Risk Score.

Drs. Charles Liu and Jonathan Russin discuss the benefits and potential of fPACT, the alternative to functional MRI.

For patients with mild cognitive impairment (MCI), early changes with respect to decreased intra-network connectivity involving the default mode network or salience network may aid in differentiating between the development of Alzheimer’s disease and Parkinson’s disease, according to new MRI research.

In an update of previous guidelines from the European Society of Urogenital Radiology published in 2010, a 21-expert panel offered consensus recommendations on the utility of CT, MRI and PET-CT in the staging and follow-up imaging for patients with ovarian cancer.