Defying intuition as well as expectations, a new analysis of computer-aided detection (CAD) in nearly 626,000 screening mammography exams has found the technique no better than old fashioned “CAD-less” interpretations.

Researchers at the University of Toronto have tested and validated the superiority of a two-stage cascade classifier over a traditional, single-shot classifier when using computer-aided diagnosis (CAD) to differentiate between mass and nonmass breast lesions. 

3D printing holds immeasurable promise in healthcare and the latest research collaboration in Boston aims to quickly convert MRI scans into models to help surgeons plan surgery.

Susceptibility-weighted MRI is better than the current method of choice, T2-weighted gradient-recalled-echo MRI, at detecting microhemorrhages on the brain—and it’s best to deploy the imaging technology as soon after injury as possible. 

More good news continues to roll out about the 3D printing market and it’s applications within healthcare.

The FDA has granted 510(k) clearance to Philips’ Spectral Diagnostic Suite, a set of advanced visualization and analysis tools designed for the Philips IQon Spectral CT.

Iterative reconstruction improves the quality of images of stroke patients’ brains while also allowing for radiation dose reduction, according to researchers at Goethe University in Frankfurt, Germany.

Colonoscopy misses or misjudges a substantial percentage of polyps that CT colonography can correctly flag as problematic, a study at the University of Wisconsin suggests.