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

Cigna labels most hospital-based CT, MR imaging ‘not medically necessary’

The nation’s fourth largest private payer detailed a small list of exceptions, including if a patient is less than age 10 or has a contrast agent allergy. 

Thumbnail

MRI predicts ‘frozen shoulder’ in rotator cuff tears

Two imaging findings—specifically, joint capsule swelling and thickness at the recess of the armpit—are useful to predict shoulder stiffness in patients with this particular injury.

Thumbnail

Chest CT yields higher sensitivity than lab testing standard for diagnosing coronavirus

Chinese researchers published a new case set of 51 patients with confirmed COVID-19, and found chest CT's sensitivity was much greater than real-time polymerase chain reaction lab testing.

Thumbnail

AI entered the arena, clocked radiology—and the fight is still on

A funny thing happened on the way to the printer with this issue of RBJ. In an email exchange, a radiologist who’d spoken with one of our reporters let me know he had more to say on the combustible subject about which he’d been interviewed. 

Thumbnail

‘We Will Be the Amazon of Radiology’

A midsize private practice blooms where planted.

Women dramatically underrepresented on cardiology journal editorial boards

An analysis of major cardiology journals in both the U.S. and Europe underlines the stark sex gap in cardiology, revealing that, between 1998 and 2018, there were no women editors-in-chief for U.S. general cardiology journals and only one woman editor-in-chief for a European journal.

Thumbnail

RBMA 2020 PaRADigm Keynoter Dr. McGinty Is Bullish on Radiology’s Future

"There’s so much to be excited about going forward," she told Radiology Business Journal Editor Dave Pearson in an exclusive interview. 

Thumbnail

How AI can improve care, limit unnecessary surgeries for patients with kidney tumors

Machine learning-based CT texture analysis can help with the evaluation of solid renal masses, according to new findings published in Academic Radiology. Could this help reduce the number of patients undergoing unnecessary surgeries?