Resources: Page 334

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
2014 11 03 11 22 44 485 Road To Rsna 200
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
New workflow model ensures communication of nonurgent findings
By Erik L. Ridley
Thursday, December 4 | 11:20 a.m.-11:30 a.m. | SSQ11-06 | Room S403AIn this talk, a group from a Rhode Island practice will highlight the benefits of its workflow protocol for communicating nonurgent radiology findings.
November 2, 2014
Feedback from patients on radiology reports offers value
By Erik L. Ridley
Thursday, December 4 | 10:50 a.m.-11:00 a.m. | SSQ11-03 | Room S403ADo you want to produce more patient-friendly radiology reports? This presentation from Massachusetts General Hospital will explain how.
November 2, 2014
Open-source tool may help extract info from free-text reports
By Erik L. Ridley
Thursday, December 4 | 10:40 a.m.-10:50 a.m. | SSQ11-02 | Room S403AIn this talk, researchers from the University of British Columbia will explore the potential of the National Center for Biomedical Ontology Annotator software for extracting clinically relevant terms from free-text radiology reports.
November 2, 2014
Software provides radiologists with patient information
By Erik L. Ridley
Thursday, December 4 | 10:30 a.m.-10:40 a.m. | SSQ11-01 | Room S403AIn this presentation, researchers from the University of Chicago and Philips Healthcare will describe a software algorithm that searches a patient's prior radiology reports to provide radiologists with relevant clinical history.
November 2, 2014
Should XDS or a VNA be used to share patient data? It depends
By Erik L. Ridley
Wednesday, December 3 | 3:40 p.m.-3:50 p.m. | SSM13-05 | Room S403AA representative from medical informatics and vendor-neutral archive (VNA) provider TeraMedica will explore the benefits of the Cross-Enterprise Document Sharing (XDS) and VNA approaches for patient data sharing.
November 2, 2014
Open-source DICOM viewer facilitates cloud-based image sharing
By Erik L. Ridley
Wednesday, December 3 | 3:10 p.m.-3:20 p.m. | SSM13-02 | Room S403AIn his second talk, Dr. Jason Balkman of Dartmouth-Hitchcock Medical Center will present a vendor-neutral, open-source approach for cloud-based image sharing.
November 2, 2014
Cloud-based tool provides breast density analysis
By Erik L. Ridley
Wednesday, December 3 | 3:00 p.m.-3:10 p.m. | SSM13-01 | Room S403AIn this talk, Dr. Jason Balkman of Dartmouth-Hitchcock Medical Center will describe how cloud computing can be utilized to provide analysis of breast density on MRI and mammography.
November 2, 2014
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