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. 

enteric tube placement on radiographs

Algorithm spots enteric tube misplacement on x-ray with great accuracy

The model was externally validated using more than 1,500 radiographs with real-world incidence of critically misplaced tubes. 

Highly referenced breast density education hub makes patient-driven updates

Citing low health literacy as a barrier between providers and patients in overcoming healthcare disparities, DenseBreast-info.org updated their breast density materials to include more patient-friendly, “simple language.”

Contrast shortage update: FDA opens door for U.S. providers to order foreign-labeled Bayer contrast media

Per Bayer’s communications, the contrast agent is manufactured at the same site in Berlin, Germany as the Ultravist that is intended for U.S. markets, but due to its intended distribution abroad it lacks current FDA-approved labeling. 

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Imaging-based COVID study finds blood clots twice as likely with infection vs. vaccination

A retrospective analysis of cross-sectional venograms shows only 4.5% of a teaching hospital’s COVID-vaccinated patients had a clotting condition in early 2021. Meanwhile the rate for the unvaccinated was 10.1%.

Startup OEM expands pediatric use cases for portable MRI

Portable MRI maker Hyperfine is touting a new capability in its Swoop scanner that may appeal to pediatric neurologists and neurosurgeons as well as neuroradiologists.

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New MRI method can identify early signs of Parkinson's

The researchers are now working on developing a qMRI method that can be incorporated into clinical settings, with an anticipated timeline of three to five years. 

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Techniques for photon-counting CTs that could improve orthopedic imaging

Image sharpness was further improved when sharper reconstruction kernels were used, despite having higher noise levels.

Lumbar surgery AI planner, tracker gets regulatory green light

A machine learning system for planning spine surgery that also predicts post-op spinal alignment six months out has cleared the FDA’s 510(k) review process.