A new form of magnetic resonance imaging (MRI) that makes cancerous tissue glow in medical images could help doctors more accurately detect and track the progression of cancer over time.

The appearance of ovarian lesions on ultrasound is an effective predictor of cancer risk that can help women avoid unnecessary surgery, according to a new study published March 21 in the journal Radiology

Managing CT radiation dose is key to good patient care, and there are at least seven strategies that radiology departments can put into place to do so, according to an article published February 25 in the Journal of the American College of Radiology.

A new non-invasive technique provides a near-real-time view of the human brain’s waste-clearance vessels.

Beckman Institute researchers have mathematically defined a type of error that can arise during routine medical imaging, called hallucinations

Ultrasound has higher sensitivity but also higher false-positive rates than clinical examination alone when it comes to detecting skin cancer in the head and neck areas that may have spread to the lymph nodes.

Although automated volumetry can be performed on an ultrafast 3D brain MRI sequence, conventional image acquisition still yielded the best results in a study published online January 5 in the American Journal of Roentgenology.

A recent study demonstrates that magnetic resonance imaging (MRI) and artificial intelligence (AI) can be used to detect early signs of tumor cell death in response to a novel virus-based cancer therapy

Should clinical information gleaned from interval diagnostic low-dose chest CT scans for lung cancer affect the timing of later rounds of lung screening? Perhaps, according to research presented at the recent RSNA 2021 meeting.