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Resources: Page 293
MRI-based texture analysis predicts survival in glioma patient
By
Eric Barnes
Sunday, November 29 | 11:45 a.m.-11:55 a.m. | SSA18-07 | Room N229In this session, investigators from Ohio will discuss their use of MRI-based texture analysis to predict survival in patients with aggressive brain tumors.
November 9, 2015
Parametric quantitative MRI maps the brain
By
Eric Barnes
Sunday, November 29 | 10:45 a.m.-10:55 a.m. | SSA21-01 | Room S405ABItalian investigators are breaking new ground in multiparametric quantitative MRI, using the technology to map brain tissues, and by doing so measure the changes wrought by disease.
November 9, 2015
RSNA 2015 opens with spotlight on technology
By
Eric Barnes
Sunday, November 29 | 8:30 a.m.-10:15 a.m. | PS10C | Arie Crown TheaterRSNA President Dr. Ronald Arenson is opening this year's meeting with a talk on embracing technology -- its cost savings, its talent for diagnosis, and, last but not least, learning how to sell it.
November 9, 2015
EMR integration revamps DEXA reporting
By
Erik L. Ridley
Thursday, December 3 | 12:45 p.m.-1:15 p.m. | QS016-EB-THB | Lakeside Learning Center, Hardcopy BackboardIn this poster presentation, researchers from the University of Texas Southwestern Medical Center will share how they streamlined the process of reporting dual-energy x-ray absorptiometry (DEXA) studies by exporting data to the electronic medical record (EMR).
November 8, 2015
Open-source software aids radiation dose tracking
By
Erik L. Ridley
Thursday, December 3 | 11:30 a.m.-11:40 a.m. | SSQ11-07 | Room S403AA team from Harvard Medical School will describe the performance of its CT dose and protocol management system, which was developed based on open-source software.
November 8, 2015
Dose monitoring tackles variability in pediatric x-ray
By
Erik L. Ridley
Thursday, December 3 | 11:10 a.m.-11:20 a.m. | SSQ11-05 | Room S403AIn this scientific session, a Spanish team will emphasize how dose monitoring software can facilitate radiation dose reduction for conventional radiography studies in pediatric patients.
November 8, 2015
Application enables dose, image quality evaluations
By
Erik L. Ridley
Thursday, December 3 | 11:00 a.m.-11:10 a.m. | SSQ11-04 | Room S403AA Japanese group will describe a Web-based image evaluation application for an institutional certification system being established in Japan for low-dose CT lung cancer screening.
November 8, 2015
Global survey uncovers HIS security risks
By
Erik L. Ridley
Thursday, December 3 | 10:50 a.m.-11:00 a.m. | SSQ11-03 | Room S403AResearchers from Massachusetts General Hospital have found hundreds of unprotected HL7 servers worldwide, presenting an alarming security risk for patient information stored on these hospital information systems (HIS).
November 8, 2015
Speech recognition macro tackles critical results
By
Erik L. Ridley
Wednesday, December 2 | 12:45 p.m.-1:15 p.m. | QS129-ED-WEB3 | Lakeside Learning Center, Station 3In this poster presentation, a team from NYU School of Medicine will discuss how adding a smart phrase, or macro, to its speech recognition system led to a significant improvement in critical results reporting and documentation.
November 8, 2015
Call center brings together primary care, radiology
By
Erik L. Ridley
Wednesday, December 2 | 12:45 p.m.-1:15 p.m. | QS127-ED-WEB2 | Lakeside Learning Center, Station 2Canadian researchers will share their experience with 1-800-Imaging, a call center pilot project designed to form partnerships between primary care providers and medical imaging.
November 8, 2015
Google Analytics helps enhance Image Gently website
By
Erik L. Ridley
Wednesday, December 2 | 12:45 p.m.-1:15 p.m. | PD236-SD-WEB2 | Lakeside Learning Center, Station 2In this poster presentation, a group from Duke University will share how the use of Google Analytics helped target improvements for the Image Gently website.
November 8, 2015
Analysis cuts no-show rate at breast imaging center
By
Erik L. Ridley
Wednesday, December 2 | 12:15 p.m.-12:45 p.m. | QS128-ED-WEA3 | Lakeside Learning Center, Station 3A team from Stony Brook University will detail its success in significantly decreasing the patient no-show rate at a breast imaging center.
November 8, 2015
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