Cardiac Imaging

While cardiac ultrasound is the widely used imaging modality for heart assessments, computed tomography (CT), magnetic resonance imaging (MRI) and nuclear imaging are also used and are often complimentary, each offering specific details about the heart other modalities cannot. For this reason the clinical question being asked often determines the imaging test that will be used.

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New pulmonary embolism approach could substantially reduce imaging overuse

The pretest probability score produced false-negative rates below 1% and dropped imaging use by about 20%, according to a new JAMA Cardiology study. 

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CTA provides value as a noninvasive alternative to ICA when treating NSTE-ACS

These latest findings are based on data from the VERDICT trial.

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AI guidance helps nurses with no experience obtain echocardiograms

Researchers see their AI model as a way to improve patient access to important imaging exams. 

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MRIs appear safe if the patient has a cardiac device with abandoned leads

A team of cardiologists and radiologists explored the issue, sharing their findings in JAMA Cardiology.

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AI predicts new-onset AFib using 12-lead ECGs

The team's deep neural network was trained on more than 1.6 million 12-lead ECGs. 

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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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Providers must rethink traditional imaging approaches to prevent cardiotoxicity in cancer patients

Specifically, doctors should consider adding routine global longitudinal strain to their surveillance of patients undergoing chemotherapy, experts argued recently.

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AI model IDs high-risk cardiovascular patients based on imaging data

The algorithm can help physicians make key decisions about a patient’s health, including whether or not it is time to consider statin therapy. 

Around the web

Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.

Eleven medical societies have signed on to a consensus statement aimed at standardizing imaging for suspected cardiovascular infections.