Cardiovascular Radiology: Page 65

Deep learning can spot significant coronary stenosis
By Erik L. Ridley
Tuesday, November 28 | 11:50 a.m.-12:00 p.m. | SSG02-09 | Room S504ABIn this session, researchers will describe how deep learning shows potential for identifying patients with functionally significant coronary artery stenosis.
November 5, 2017
AI assesses cardiovascular risk on routine chest CT
By Erik L. Ridley
Tuesday, November 28 | 11:40 a.m.-11:50 a.m. | SSG13-08 | Room S404ABA Dutch team has found that its artificial intelligence (AI) algorithm can automatically perform cardiovascular risk assessment from routine chest CT studies.
November 5, 2017
Deep learning yields real-time coronary calcium scoring
By Erik L. Ridley
Tuesday, November 28 | 10:50 a.m.-11:00 a.m. | SSG13-03 | Room S404ABA deep-learning algorithm can swiftly quantify coronary artery calcium scores on low-dose CT lung screening exams, according to researchers from the Netherlands.
November 5, 2017
Machine learning may enhance utility of FFR-CT
By Erik L. Ridley
Sunday, November 26 | 11:45 a.m.-11:55 a.m. | SSA04-07 | Room S504ABA machine-learning algorithm shows potential for facilitating the use of fractional flow reserve (FFR) calculations on coronary CT angiography studies, according to research being presented in this scientific session.
November 5, 2017
Who uses CCTA more: radiologists or cardiologists?
By Abraham Kim
Thursday, November 30 | 11:40 a.m.-11:50 a.m. | SSQ02-08 | Room S502ABThe ongoing tug-of-war between radiologists and cardiologists may be starting to favor one end: Radiologists now utilize coronary CT angiography (CCTA) at a higher rate than cardiologists do, according to this presentation.
November 1, 2017
What factors delay lung cancer diagnosis on CT CAC?
By Abraham Kim
Wednesday, November 29 | 3:50 p.m.-4:00 p.m. | SSM04-06 | Room S504ABCT for coronary artery calcium (CAC) scoring is susceptible to detection and interpretation errors that may delay the diagnosis of lung cancer, according to researchers from South Korea.
November 1, 2017
Iterative recon lowers CT radiation dose for calcium score
By Abraham Kim
Wednesday, November 29 | 11:00 a.m.-11:10 a.m. | SSK03-04 | Room S502ABResearchers from Italy have discovered that iterative reconstruction can lower the CT radiation dose needed to determine coronary artery calcium scores.
November 1, 2017
2017 11 07 18 37 9362 Roadies Ribbon 400
Voltage-tailored contrast protocol aids CCTA
By Abraham Kim
Tuesday, November 28 | 11:00 a.m.-11:10 a.m. | SSG02-04 | Room S504ABCustomizing CT contrast dose while also improving efficacy and patient safety is an ongoing challenge. In this presentation, U.S. researchers will offer a way to do just that for coronary CT angiography (CCTA) exams.
November 1, 2017
Dynamic stress CT perfusion predicts adverse cardiac events
By Abraham Kim
Monday, November 27 | 11:10 a.m.-11:20 a.m. | SSC02-05 | Room S504ABIn this session, researchers from Japan will describe how they successfully used dynamic stress CT myocardial perfusion to predict major adverse cardiac events in patients suspected of having coronary artery disease.
November 1, 2017
Is FFR-CT the new one-stop shop for CAD management?
By Abraham Kim
Sunday, November 26 | 12:05 p.m.-12:15 p.m. | SSA04-09 | Room S504ABFractional flow reserve CT (FFR-CT) matches the accuracy of invasive coronary angiography in identifying coronary artery disease (CAD) and may help determine its management, according to a study to be presented on Sunday.
November 1, 2017
Onsite FFR-CCTA detects coronary artery stenosis
By Abraham Kim
Sunday, November 26 | 11:15 a.m.-11:25 a.m. | SSA04-04 | Room S504ABIn this study, Dutch researchers used software to semiautomatically estimate fractional flow reserve (FFR) from coronary CT angiography (CCTA) images. They found that the technique increased the speed and accuracy of diagnosing stenosis in coronary arteries.
November 1, 2017
How can cardiac MRI predict ablation therapy outcomes?
By Wayne Forrest
Wednesday, November 29 | 11:20 a.m.-11:30 a.m. | SSK04-06 | Room S504ABAdding late gadolinium enhancement and T1 mapping in preprocedural cardiac MRI scans might help predict how atrial fibrillation patients will respond to ablation therapy, German researchers have found.
October 31, 2017
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