Deep learning can more accurately distinguish early brain metastases when using both contrast-enhanced and non-contrast CT scans, according to new research published in the European Journal of Radiology.

Researchers designed a model capable of automatically detecting the spread of brain cancer by combining contrast-enhanced and non-contrast imaging, comparing it to models that only use contrast scans. The retrospective study included 116 CTs of 116 patients, all of whom underwent brain scans with and without contrast and had confirmed brain metastases. 

A total of 659…