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.

'Breakthrough' MRI contrast design could make GBCAs safer, more effective
Researchers are hopeful their new approach to developing MRI contrast will "pave the way for safer, smarter imaging in clinical diagnostics."
MRIs show how peanut consumption improves the brain's vascular function
Consistently incorporating unsalted peanuts into a person’s diet enhances cerebral blood flow to multiple brain regions.
CCTA will play an essential role in the cath labs of the future
Noninvasive coronary CT angiography is growing more and more important as time goes on, helping cardiologists make critical treatment decisions. Carlos Collet, MD, PhD, discussed the technique's potential to be a real game-changer for patient care in a new interview.
Society of Interventional Radiology urges UHC to update policy on radioembolization treatment
SIR contends that payments toward transarterial radioembolization (TARE)/selective internal radiation therapy (SIRT) should extend beyond the current coverage limitations in patients with liver cancer and metastases.
RadNet acquires remote MRI scanning solutions provider Alpha RT
The company offers a suite of services including AI-powered safety monitoring in case something goes wrong in the MRI suite, staffing, training and certification.

Example of various breast MRI protocol sequences that offer different types of soft tissue enhancement. Imaging performed on a Siemens Magnetom system. Breast MRI can help see through dense breast tissue to better detect cancers. #densebreasts #Breastdensity #BreastMRI

Contrast enhanced breast MRI superior to CEM, but accessibility remains an obstacle

In addition to CE-MRI's increased sensitivity for identifying breast cancers, the researchers also found the modality had superior negative likelihood ratios with higher pre-test probabilities for safely ruling out malignancy.

NIH grants $3.5 million toward researching COVID's neurological impact

The funds will be allocated specifically toward neuroimaging and cognitive and immunological tests to explore if and how mild and asymptomatic SARS-CoV-2 infections have a long-lasting impact on neurocognitive function.

CT scan showing lung cancer nodules with measurements of each nodule to track growth or regression from treatment. Image courtesy of RSNA

Downgrading lung nodules at 3-month follow-up 'may be problematic'

A new analysis suggests that follow-up imaging protocols for certain lung nodules identified via CT may need to be revisited.

Predicting healthcare utilization in COPD patients using CT and machine learning

Combining CT lung measurements with machine learning models to predict prognosis in COPD patients could help to lessen their reliance on emergency services.

$rib fracture broken ribs$

Advanced MSK imaging trio—CT, MR, ultrasound—justified for certain trauma patients upon incident and over time

The comprehensive approach may be warranted for patients whose musculoskeletal injuries include fractures of the costal cartilage.

NRC petitioned by patient advocacy group to require reporting of extravasation

The group is advocating for the NRC to treat significant extravasations in the same manner as any other reportable medical event.

DiA Imaging Analysis, which specialized in developing the AI-based automated cardiac ultrasound solution LVivo Seamless. The technology is now integrated through partnerships with dozens of healthcare vendors, including ScImage, GE Healthcare, Philips Healthcare Konica Minolta and IBM Watson.

ScImage latest vendor to adopt DiA Imaging Analysis AI for echocardiography

Artificial intelligence vendor DiA has emerged as a key third-party provider of AI to larger imaging vendors.

Deep learning models predict COPD survival based on chest radiographs

Recently, experts explored the efficacy of two deep learning models for grading COPD severity based on chest radiographs—a method that has not yet been thoroughly tested.

Medical Imaging

'Breakthrough' MRI contrast design could make GBCAs safer, more effective

MRIs show how peanut consumption improves the brain's vascular function

CCTA will play an essential role in the cath labs of the future

Society of Interventional Radiology urges UHC to update policy on radioembolization treatment

RadNet acquires remote MRI scanning solutions provider Alpha RT