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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Startup that converts MRIs into 3D assessments raises $3M from private equity, pro sports franchise

Springbok Analytics uses AI and the accuracy of magnetic resonance imaging to create “precise” muscle assessments. 

spinal cord injury on CT of patient with degenerative spinal changes

CTs of adults with degenerative changes should be met with high suspicion for spinal cord injury following trauma

This is increasingly recognized as a potentially underreported phenomenon, accounting for roughly half of all such injuries in certain populations.

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Large study reiterates the necessity of 'prudent use' of CT scans in children

Those who undergo repeated exams before the age of 6 face almost double the risk of later developing intracranial tumors, leukemia or lymphoma, according to new data.

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AI dramatically reduces radiologists’ rate of missed incidental pulmonary embolism on routine CT

The commercial software also reduced the median detection and notification time for incidental PE in flagged scans from “several days” down to just 1 hour.

black woman breast cancer pink ribbon

Black women should start breast cancer screening 8 years earlier, new data suggest

The recommendation is based on an analysis of mortality data from 415,000 U.S. women spanning 2011-2020. 

shear-wave elastography TIRADS

Shear wave elastography assessment improves TI-RADS scoring

That’s according to an award-winning scientific online poster presented this week during the American Roentgen Ray Society’s annual meeting being held in Honolulu, Hawaii.

dual modality super resolution ultrasound imaging

New dual modality ultrasound technique offers greater 'accessibility, portability and cost effectiveness'

The hope is that the technique could lead to earlier detection of diseases by simultaneously identifying structural and functional abnormalities that standard ultrasound imaging methods alone cannot.

lung cancer imaging features associated with worse outcomes following missed diagnosis

Some imaging features of missed lung cancer indicate worse outcomes

Features pertaining to location, density and superimposed structures were recently found to be associated with poorer outcomes for patients who initially had their lung cancer overlooked on radiographs.