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. 

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10-year imaging study examines long-term side effects of smoking cigarettes

The findings support the notion that it is never too late to quit smoking, as the benefits of doing so are clear, experts involved in the study suggested.

Example of data generated by an automated artificial intelligence (AI) brain CT assessment tool from Annalise.ai at RSNA 2022. What does brain imaging look like?

AI company racks up 7 new FDA clearances for image triage and notification solutions

The Australia-based company made the announcement on April 12 in a release that described the timing of these AI-assisted solutions as “increasingly important” amid growing workloads and staffing shortages. 

liver cancer

AI detects more than half of metastases overlooked by radiologists on CT

Reasons for the gap between AI and rads could include the physician's physical and mental condition at the time of the study, experts noted. 

FDA issues adverse event report on MRI accident as investigations into its cause continue

The FDA's description of the event aligns with prior reports speculating that the accident involved a staff member transporting a patient to an MRI suite on a hospital bed, which was allegedly sucked into the MRI bore.

nuc med treatment for non-hodgkin lymphoma

New nuclear medicine treatment could potentially cure non-Hodgkin lymphoma

“If testing is successful in humans, this would represent an excellent new treatment option for patients with this disease.” 

Comparison of a 2D digital mammogram and breast tomosynthesis 3D mammography from UCSF.

Radiologist performance has improved since the introduction of DBT for breast cancer screening

Since being approved by the U.S. Food and Drug Administration in 2011, DBT has become the most common method for breast cancer screening, and as of September 2022, 84% of all U.S. mammography screening facilities housed DBT units. 

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In rare cases, maternal COVID infections can lead to serious brain injuries in neonates

Children included in the assessment displayed several concerning neurological MRI findings shortly after their birth, including acquired microcephaly, severe parenchymal atrophy and cystic encephalomalacia. 

Example of the four types of breast tissue density. The density of fibroglandular tissue inside the breast impacts the ability to easily see cancers. Cancers are very easy to spot in fatty breasts, but are almost impossible to find in extremely dense breasts. These examples show craniocaudal mammogram findings characterized as almost entirely fatty (far left), scattered areas of fibroglandular density (second from left), heterogeneously dense (second from right), and extremely dense (far right). RSNA

Experts developed a deep learning model that can estimate breast density

When tested, the model achieved a performance comparable to that of human experts.