Cardiac Imaging: Page 49

3D-printed coronary phantoms help assess blood flow

Wednesday, November 28 | 3:00 p.m.-3:10 p.m. | SSM13-01 | Room E353CResearchers from New York used coronary CT angiography (CCTA) scans to create 3D-printed phantoms of the coronary tree that replicate the anatomy and blood flow of real arteries in patients with coronary artery disease.

November 5, 2018

3D printing improves speed, accuracy of aortic repair

Wednesday, November 28 | 12:45 p.m.-1:15 p.m. | IN228-SD-WEB4 | Lakeside, IN Community, Station 4Using patient-specific 3D-printed models to plan for open surgical repair of the aorta may boost the procedure's accuracy and shorten operating time, according to this presentation being delivered on Wednesday.

November 5, 2018

4D MRI validates new technique for heart surgery

Tuesday, November 27 | 10:55 a.m.-11:05 a.m. | RC303-09 | Room E350By monitoring blood flow with 4D MRI, researchers from France were able to confirm the effectiveness of a new technique for valve-sparing aortic root replacement.

November 5, 2018

Heart valve-tracking algorithm boosts viability of 4D MRI

An automated heart valve-tracking algorithm halved the amount of time and variability involved in blood-flow quantification with 4D MRI, according to an article published online October 30 in Radiology. The improved efficiency may help convince clinicians that cardiac 4D MRI is useful for assessing valvular heart disease.

November 1, 2018

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CCTA shows exercise reduces risk of heart disease

Monday, November 26 | 3:50 p.m.-4:00 p.m. | SSE03-06 | Room N229Individuals who participated in endurance training had significantly fewer plaques on coronary CT angiography (CCTA) scans and a lower risk of coronary artery disease than individuals who did not regularly exercise, according to a study by researchers from Austria.

October 31, 2018

Delayed-enhancement CT predicts adverse cardiac events

Monday, November 26 | 3:30 p.m.-3:40 p.m. | SSE03-04 | Room N229Researchers from Japan discovered that delayed contrast enhancement on CT was an independent predictor of major adverse cardiac events in patients with suspected coronary artery disease.

October 31, 2018

CCTA, CT perfusion bolster coronary stent evaluation

Monday, November 26 | 11:50 a.m.-12:00 p.m. | SSC01-09 | Room S504CDCombining coronary CT angiography (CCTA) with stress CT perfusion increases the accuracy of diagnosing in-stent restenosis in patients with heart disease, according to this study to be presented on Monday.

October 31, 2018

CT perfusion plus CCTA improves diagnosis of CAD

Monday, November 26 | 11:20 a.m.-11:30 a.m. | SSC01-06 | Room S504CDA group from Italy found that stress coronary CT perfusion in addition to coronary CT angiography (CCTA) can enhance the diagnosis of coronary artery disease (CAD) in patients at intermediate to high risk for the disease.

October 31, 2018

Deep-learning algorithm automates FFR-CT estimation

Sunday, November 25 | 11:35 a.m.-11:45 a.m. | SSA03-06 | Room S404ABResearchers from Japan have developed a deep-learning model capable of automatically estimating minimum fractional flow reserve CT (FFR-CT) with an accuracy approaching that of invasive FFR.

October 31, 2018

CT perfusion tops FFR-CT in predicting cardiac events

Sunday, November 25 | 11:05 a.m.-11:15 a.m. | SSA03-03 | Room S404ABCT myocardial perfusion may be a better predictor for major adverse cardiac events in patients with coronary artery disease than fractional flow reserve CT (FFR-CT), according to this study being presented on Sunday.

October 31, 2018

Is FFR-CT or CT perfusion better for evaluating CAD?

Sunday, November 25 | 10:55 a.m.-11:05 a.m. | SSA03-02 | Room S404ABBoth fractional flow reserve CT (FFR-CT) and CT perfusion are viable options for detecting stenosis in patients with coronary artery disease (CAD), though CT perfusion may be more accurate, according to researchers from Italy.

October 31, 2018

Deep-learning reconstruction improves coronary MR angiography

By Wayne Forrest

Wednesday, November 28 | 11:40 a.m.-11:50 a.m. | SSK03-08 | Room S102CDIn this session, Japanese researchers will share results from their newly developed deep-learning reconstruction technique designed to improve image quality for noncontrast coronary MR angiography.

October 30, 2018

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