Clinical Research

soft tissue lymphoma versus soft tissue tumor

Soft tissue lymphomas versus soft tissue tumors: MRI features reliably differentiate between the two

A new analysis offers a detailed comparison of soft-tissue lymphomas and soft-tissue tumors based on imaging characteristics from MRI scans—an area of study that has not yet been rigorously explored, the authors of the paper indicated.

Photon-counting CT/AI combo improves multiple myeloma detection

When combined with artificial intelligence-based noise reduction techniques, new photon-counting CT technology can increase the detection of bone disease while also decreasing radiation exposure. 

At the site of the ‘God particle,’ explorers advance along a new frontier in medical imaging

The event was the sixth Workshop on Medical Applications of Spectroscopic X-ray Detectors, which wrapped Sept. 1 at the largest particle physics lab in the world.

Consequential imaging: 6 ways prenatal ultrasound affects health and/or care

Parents-to-be consider prenatal ultrasound imaging a ceremonial custom they don’t want to miss out on.

‘Low-trust’ providers inadvertently increase pain in patients undergoing diagnostic testing

The effect shows up on functional MRI as increased brain activity in regions involved in pain, emotion and attention—not only during the procedure but also afterward, when patients remember the experience and score its discomfort level.

An overview of artificial intelligence (AI) in radiology with Keith Dreyer with the ACR. Images shows a COVID-19 lung CT scan reconstruction from Siemens Healthineers. #AI #radAI #ACR

AI speeds, improves chest X-ray interpretations

Six radiologists interpreting around 500 chest radiographs with an assist from AI bested unaided radiologists in measures of efficiency and/or accuracy in a new comparative performance study.    

Christine Albert, MD, MPH, cardiology chair for the Smidt Heart Institute at Cedars-Sinai Medical Center

Rethinking arrhythmias: Women may face a higher AFib risk than men

New research, published in JAMA Cardiology, challenges the common belief that AFib is more likely to develop among men than women. The key problem, it seems, is that prior research teams did not understand the significance of certain risk factors.