Nuclear Cardiology

Single photon computed tomography (SPECT) and positron emission tomography (PET) molecular imaging are used as primary cardiac imaging modalities to evaluate the function of the heart. It uses radioactive isotopes attached to sugars that are metabolized by cardiomyocytes. This creates an image of the metabolic activity of the heart and shows areas of ischemia or infarct. Other radiotracers can image the heart to diagnosis cardiac amyloidosis and sarcoidosis. 

SNMMI: Scanning for cardiac amyloid could help predict heart attacks

While amyloid imaging is typically discussed with regard to diagnosing Alzheimer’s disease, a team of French researchers, presenting at the Society of Nuclear Medicine and Molecular Imaging (SNMMI) 2015 annual meeting, have found that amyloid scans of the heart can predict major cardiac events.

June 11, 2015

UltraSPECT and ASNC partner to provide technologist travel awards to attend ASNC2014

UltraSPECT, provider of the most cost-effective solutions for meeting American Society of Nuclear Cardiology (ASNC) guidelines for low dose nuclear medicine imaging, announces today its support of nuclear medicine technologists via six new grants.
March 6, 2014

PET technique visualizes amyloid deposits in heart

PET with 11C-PIB provides a noninvasive method for visualizing amyloid deposits in the heart, according to a study published in the February issue of the Journal of Nuclear Medicine. The researchers suggest that 11C-PIB eventually may be used in the clinical setting as both a diagnostic tool and a treatment follow-up method.

February 10, 2013

ASNC Releases Dose-Reduction Guidelines for Nuclear Cardiology

Technological improvements in image acquisition and software processing in nuclear cardiology should allow physicians to shave patient imaging times dramatically or cut radiation doses fourfold, according to a new preferred practice statement from the American Society of Nuclear Cardiology (ASNC).

March 2, 2012

Around the web

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

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