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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Society of Cardiovascular Computed Tomography shares new CCTA guidance

The guidance, published in full in the Journal of Cardiovascular Computed Tomography, includes updates to previous CCTA recommendations and was designed to answer common questions.

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Trainees are able to estimate the cost of common interventional radiology devices less than 20% of the time

Postgraduate radiologists had particular trouble with high-cost items, such as IVC filters, stent grafts and EVAR grafts, researchers reported in the Irish Medical Journal.

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X-ray imaging reveals Apple AirPod lodged in patient’s esophagus

A Massachusetts man's strange ordeal is providing a warning to physicians and patients alike. 

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Nuclear medicine group discovers payment rate error with PET imaging agent

SNMMI said it is working with the Centers for Medicare & Medicaid Services and the manufacturer of Cerianna to remedy the problem.

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Here’s how radiologists should manage COVID-19 vaccine side effects spotted on breast MRI exams

Doctors have increasingly been seeing breast exams with swollen lymph nodes imitating cancer in patients who have received a vaccine, prompting Penn Medicine providers to offer up guidance.

Automated imaging locks in on brain proteins to detect earliest signs of Alzheimer’s disease

By actively tracking amyloid-beta and tau, Massachusetts General Hospital researchers may be able to diagnose the deadly disease earlier. 

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COVID-19 vaccine update: Radiologists report side effects mimicking breast cancer on mammograms

Breast rads at University Hospitals Cleveland Medical Center have been seeing more women with swollen lymph nodes over the past few weeks and urged providers to be on the lookout.

‘Very exciting development’: Hyperspectral imaging technique roots out hidden stomach cancers

By pairing the advanced camera with deep learning, Tokyo researchers spotted gastrointestinal stromal tumors with 86% accuracy.