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. 

Researchers receive fresh $11M to continue cracking post-TBI epilepsy

Structural brain abnormalities detected by MRI are among the risk factors the funded researchers will identify as novel biomarkers.

breast cancer screening mammography

Imaging features predict survival in patients with luminal breast cancer

Researchers have developed a prediction model that takes into account both imaging (post-NAC breast MRI) and clinical-pathologic features when forecasting patients' overall survival.

Frontline perspectives on the CT contrast shortage: 5 notable quotes

U.S. healthcare is now a solid week into the CT contrast shortage of ’22, and common themes are emerging in adaptations at local hospitals and imaging centers.

Lung Association’s ‘Turquoise Takeover’ spotlights screening

The exterior illuminations are only one part of the ALA’s annual “Turquoise Takeover” initiative. Also look for turquoise accents across social media, including in the apparel choices of enthusiasts posting selfies.

Thumbnail

Prostate cancer recurrence scoring system yields 'promising' results

An international panel of experts recently developed and validated a reporting assessment scoring system that analyzes the location and extent of prostate cancer recurrence. 

prostate cancer PSA

Total-body PET scanner detects cancer in 60 seconds

The new equipment, which initially will be used to treat prostate and neuroendocrine tumors, is expected to be operational in July.

#imagingequipment #cybersecurity #databreaches

Israel’s famously innovative healthcare system struggles to secure imaging devices

In some cases hospital staff kept no watch over outside-looking-in connections between manufacturers and scanners.

AI differentiates 2 types of autoimmune arthritis on CT

Computer scientists, rheumatologists and immunologists have pooled skill sets to develop a neural network that can distinguish between rheumatoid and psoriatic arthritis while also recognizing healthy joints with no arthritis at all.