Resources: Page 333

Is epicardial fat linked to atrial fibrillation?

By Eric Barnes

Sunday, November 30 | 10:55 a.m.-11:05 a.m. | SSA03-02 | Room S504ABQuantifying epicardial fat on preprocedural CT scans may help identify patients with atrial fibrillation (AF) who will benefit from catheter ablation as a treatment for AF, according to a study to be presented on Sunday.

November 3, 2014

Do positive NLST results persist in a poor, nonwhite, overweight urban population?

By Eric Barnes

Sunday, November 30 | 10:45 a.m.-10:55 a.m. | SSA04-01 | Room S404CDA new study looked at lung cancer screening in a population that bears little resemblance to the relatively affluent cohort in the National Lung Screening Trial (NLST), which produced a minimum 20% mortality reduction from screening. Does the successful NLST model still hold true?

November 3, 2014

Can the lumen area of stenosis predict coronary lesion significance?

By Eric Barnes

Sunday, November 30 | 10:45 a.m.-10:55 a.m. | SSA03-01 | Room S504ABThis study looked at the value of mean lumen area quantification by CT angiography to predict the hemodynamic significance of coronary stenosis at invasive angiography severe enough to require revascularization.

November 3, 2014

Physics session on innovation in CT

By Eric Barnes

Sunday, November 30 | 10:45 a.m.-12:15 p.m. | SSA19 | Room S403BNew CT techniques and instrumentation are the focus of a Sunday scientific session that kicks off with a 20-minute physics keynote talk by CT pioneer Willi Kalender, PhD, and continues with presentations of other new technological innovations in CT.

November 3, 2014

Road to RSNA 2014: CT Preview

By Eric Barnes

Innovation remains at the heart of every advance in CT imaging, and at RSNA 2014 it shows up at every step in the imaging process, from acquisition to reconstruction to analysis. There are discussions of conebeam CT, high-efficiency direct conversion detectors, and new, more efficient detector materials. This year you'll also find presentations on spectral and multienergy imaging, which continue to break ground in new applications.

November 3, 2014

Machine learning may aid annotation of radiology reports

By Erik L. Ridley

Thursday, December 4 | 11:50 a.m.-12:00 p.m. | SSQ11-09 | Room S403AIn this presentation, a study team will explore the potential of applying machine learning techniques to annotate or add structured data, such as an ICD-9 code, to unstructured data, such as text in radiology reports.

November 2, 2014