Diagnostic Imaging

Radiologists use diagnostic imaging to non-invasively look inside the body to help determine the causes of an injury or an illness, and confirm a diagnosis. Providers use many imaging modalities to do so, including CT, MRI, X-ray, Ultrasound, PET and more.

Lipoprotein(a) tests could transform patient care—is it time for universal screening?
"Lp(a) represents the most important potential potential paradigm shift in cardiovascular disease prevention that we'll experience over the next five to 10 years," Seth Baum, MD, explained in a new interview.
Experts create AI system that can accurately diagnose osteoporosis using routine X-rays
Experts are optimistic their tool could help providers identify patients who may be at risk of developing osteoporosis sooner.
Generative AI model shows potential for reading chest X-rays used for TB screenings
Generative artificial intelligence models have shown great potential for improving multiple aspects of the radiology field, but a new analysis cautions that they still require significant oversight.
AI helps spot fatty liver disease on routine radiographs
If left undiagnosed and untreated for a prolonged period, fatty liver disease can progress to more serious conditions, such as cirrhosis and liver cancer.
FDA gives AI-powered blood test for obstructive CAD breakthrough device designation
The FDA clearly sees significant potential in a new multi-protein blood test from Prevencio. The company's goal is to gain full approval and get the test in the hands of emergency departments all over the United States.

Machine learning model accurately predicts DCIS upstaging without invasive surgery

Understanding a patient's risk of developing invasive cancer without having to undergo surgery could help patients and providers choose more appropriate treatment plans.

New research highlights imaging features radiologists should look out for in breakthrough COVID cases

Experts at the University of Maryland School of Medicine noted that 63% of the breakthrough cases were reported among immunosuppressed patients.

Administering Diltiazem before CCTA could improve image quality for heart transplant patients

Commonly used medications don't always lower patients' heart rates enough to achieve diagnostic-quality scans, researchers at Duke University Medical Center cautioned.

Subjectivity remains a challenge among radiologists using BI-RADS 5 for breast density

The emotional and financial implications of labeling findings as "dense" must be seriously considered in light of these results, experts cautioned.

Strain elastography proven superior to shear wave for assessing breast mass stiffness

Experts hope the results of their research can help guide radiologists' decisions when referring patients for histologic evaluation versus benign assessment.

breast radiologist breast cancer mammography

Digital breast tomosynthesis outperforms DM at detecting malignancy in developing asymmetries

The malignancy rates detailed in this study reaffirm the logic that all developing asymmetries should be treated as suspicious, doctors reported this week in Radiology.

CT images of thoracic muscles hold prognostic value for elderly ICU patients, research reveals

These scans may help guide clinicians' treatment decisions for this vulnerable population, experts reported this week in Nature.

Emergency radiology errors tied to adverse outcomes among patients readmitted for repeat imaging

Radiologists should consider a misdiagnosis on index imaging among those who come back to the ED for additional exams, experts said this week.

Diagnostic Imaging

Lipoprotein(a) tests could transform patient care—is it time for universal screening?

Experts create AI system that can accurately diagnose osteoporosis using routine X-rays

Generative AI model shows potential for reading chest X-rays used for TB screenings

AI helps spot fatty liver disease on routine radiographs

FDA gives AI-powered blood test for obstructive CAD breakthrough device designation