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.

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Preoperative shear-wave elastography can predict success of rotator cuff repair

Higher elasticity ratios discovered using SWE were an independent predictor of insufficient rotator cuff repairs, according to a new study published in the American Journal of Roentgenology.

January 21, 2022
SNMMI images of unusual imaging pattern observed on FDG PET/CT or FDG PET/MR that may be due to Omicron COVID-19 infection. Unlike the FDG PET/CT pattern seen with infections from previous strains of COVID-19, with principal involvement of the lungs, this new array of findings is primarily centered in the upper aerodigestive tract and cervical lymph nodes. What does omnicron COVID look like in medical imaging?

Unusual pattern on PET/CT may indicate COVID omicron variant

The Society of Nuclear Medicine and Molecular Imaging offered up a handful of tips to help providers who encounter such findings.

January 14, 2022

Radiologists don’t see eye-to-eye with other providers on fluoroscopic swallow studies

With demand for such exams forecasted to increase alongside an aging population, rads and speech language pathologists do agree that standardization is needed.

January 6, 2022

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.

January 5, 2022

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.

December 15, 2021
Patient in hospital bed

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.

December 15, 2021
Danish researchers reported in Radiology that an artificial intelligence system was able to interpret more than 114,000 screening mammograms using a reading protocol with high sensitivity and specificity.

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.

December 13, 2021
black woman breast cancer pink ribbon

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.

December 10, 2021

Around the web

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

"I see, at least for the next decade, this being a SPECT and PET world, not one or the other," explained Tim Bateman, MD.

The FDA-approved technology developed by HeartFlow can predict a patient's long-term risk of target vessel failure as well as more invasive treatments performed inside a cath lab. 

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