Medical Imaging

Physicians utilize medical imaging to see inside the body to diagnose and treat patients. This includes computed tomography (CT), magnetic resonance imaging (MRI), X-ray, ultrasound, fluoroscopy, angiography,  and the nuclear imaging modalities of PET and SPECT. 

Thumbnail

Generalists just as accurate as fellowship-trained radiologists at diagnosing appendicitis on MRI, CT

Community-based rads showed "excellent" accuracy using MR imaging to spot appendix issues, researchers reported in Emergency Radiology.

Thumbnail

Ultrasound screening during wellness visits spots abnormalities in 94% of patients

Physicians ordered 30 total follow-ups, resulting in no added costs for 76% of Medicare Wellness patients.

Thumbnail

Philips earns FDA breakthrough status for interventional IVC filter removal device

In two independent, prospective studies, the laser-guided tool was 96%-99% effective with a major adverse event rate of 0.7%-2%.

Thumbnail

CAD-RADS a ‘big step in the right direction’ toward improving outcomes for acute chest pain

Korean researchers tested the Coronary Artery Disease Reporting and Data System in nearly 1,500 patients treated across four hospital emergency departments.

money maze payment reimbursement

CMS launches coverage determination for beta-amyloid PET scans following Alzheimer’s drug approval

Multiple imaging advocates, notably SNMMI, have been calling on the federal agency to update its policies and require amyloid results prior to starting treatment with Aduhelm.

New CT patterns provide ‘encouraging view’ of traumatic brain injury outcomes

The findings are part of the NIH-funded Transforming Research and Clinical Knowledge in Traumatic Brain Injury study, designed to understand the impact of head injuries and potential treatments.

Thumbnail

‘Unacceptable’: Ultrasound screening often misses endometrial cancer in Black women

Relying solely on transvaginal ultrasound in this population is often not enough to guide biopsy decision making, University of Washington Medicine oncologists wrote.

pain pills opioids

Structural MRI shows promise predicting relapse among patients battling opioid addiction

The experimental diagnostic method combines imaging and machine learning to seek patterns in functional connectivity and brain structure data.