RSNA 2016 NEWS
For the patient's sake, radiology reports must be clear
November 30, 2016 -- CHICAGO - Patients may perceive terminology in radiology reports differently than radiologists do, so it's important that radiologists use clear language when describing their findings, according to a study presented on Tuesday at RSNA 2016.
Video from RSNA 2016: Safety issues with gadolinium MRI contrast
November 29, 2016 -- CHICAGO - MRI safety has never been a hotter topic, particularly with respect to gadolinium contrast retention in the brain. Dr. Emanuel Kanal of the University of Pittsburgh explains the issue in this video from RSNA 2016.
Video from RSNA 2016: Is imaging moving away from outpatient centers?
November 29, 2016 -- CHICAGO - A new study presented at RSNA 2016 has documented a decline in imaging procedure volume in the outpatient setting. Dr. David C. Levin of Thomas Jefferson University discusses the shift in this video from RSNA 2016.
NPV is a key indicator for future prostate cancer risk
November 29, 2016 -- CHICAGO - Negative predictive values (NPVs) derived from multiparametric MRI scans provide an excellent indication of clinically significant prostate cancer and could help men with a prior negative biopsy avoid unnecessary procedures, according to a study presented on Tuesday at RSNA 2016.
An occasional drink doesn't hurt coronary arteries
November 29, 2016 -- CHICAGO - Having an alcoholic drink once or twice a day does not appear to affect the coronary arteries, based on scans with coronary CT angiography, researchers reported on Tuesday at the RSNA annual meeting.
Machine learning: The next big thing for breast imaging?
November 29, 2016 -- Machine learning in radiology is a popular subject these days, with some heralding its benefits and others sounding the alarm. Two Monday presentations at RSNA 2016 took the positive side of the debate, suggesting that machine learning could be a boon to breast imaging.
Imaging informatics drives new RSNA releases for Philips
November 29, 2016 -- CHICAGO - Philips Healthcare is putting a big emphasis on imaging informatics software in its booth at RSNA 2016, rolling out a series of new applications for a variety of modalities and clinical applications.
Going Dutch means far more than tulips, Rembrandt
November 29, 2016 -- Tulips, Rembrandt, and free cookies feature prominently at the Netherlands Presents booth at McCormick Place in Chicago, but RSNA 2016 delegates found out during a special session why the country's neuroradiologists, including Dr. Meike Vernooij, PhD, are the real stars at the congress.
Prostate CAD boosts detection for most readers
November 29, 2016 -- CHICAGO - MRI-based computer-aided detection (CAD) can improve detection sensitivity for prostate cancer for most readers, while reducing reading time fourfold, according to a Tuesday presentation at RSNA 2016.
#MyRadGirlfriend No. 16: When Andy meets Einstein
November 29, 2016 -- Artificial intelligence (AI) may (or may not) be the future of radiology, but there are a few deep questions that even AI can't answer, as Andy discovers at RSNA 2016 in the next installment of #MyRadGirlfriend.
Scientific & Educational Presentations
November 10, 2016 -- Presentations at RSNA 2016 will highlight the potential of molecular imaging to advance healthcare in the coming years. The development of novel radiotracers to explore neurodegenerative conditions, the convergence of PET with MRI, and maturing applications in PET and PET/CT continue to guide a wide range of clinical applications.
November 9, 2016 -- At this year's RSNA 2016 meeting, attendees will hear how machine learning could be incorporated into women's imaging, perhaps by improving clinicians' ability to assess a woman's breast cancer risk or even by reducing unnecessary biopsies. Presentations will also cover the use of digital tomosynthesis, MRI, and ultrasound for breast cancer detection, and hot topics include breast density, personalized screening, and the debate over mammography screening.
November 8, 2016 -- The brave new world of advanced visualization, 3D and 4D, and computer-aided detection (CAD) will be on display at RSNA 2016. This year's sessions and courses will cover the evolution of digital visualization and detection tools and the rise of artificial intelligence. Hot topics include 4D flow and imaging, radiogenomics mapping, and 3D printing.
November 7, 2016 -- This Road to RSNA preview takes a look at RSNA 2016's presentations on healthcare IT. Radiation dose monitoring will again be an important area of emphasis at this year's meeting. Investigators are also continuing to seek enhancements in areas related to radiology reporting and clinical decision support.
November 3, 2016 -- Once again at this year's annual meeting of RSNA, researchers and clinicians will offer a myriad of studies and poster presentations to show how they are continually tweaking, expanding, and experimenting with MRI to explore beyond current clinical boundaries.
November 2, 2016 -- At the upcoming RSNA 2016 meeting in Chicago, key themes this year will include how ultrasound can help clinicians make better staging or treatment plans, distinguish between benign and malignant lesions, and track healing. Researchers will discuss the use of telerobotic ultrasound to perform abdominal exams, ultrasound tomography for breast imaging, and more.
November 1, 2016 -- At RSNA 2016, CT will mark another year of progress in grabbing useful information from anatomy scanned at ever-lower radiation doses. Spectral imaging, iodine imaging, k-edge imaging, photon-counting CT, iterative reconstruction, and other quantitative imaging techniques are on display in this year's sessions, offering new ways to see data hidden inside images.
October 31, 2016 -- Welcome to the first installment of this year's Road to RSNA preview of the 2016 RSNA meeting in Chicago. For the eighth year in a row, we're providing a modality-by-modality overview of the most important scientific sessions to serve as your guide to events at McCormick Place. Our journey along the Road to RSNA begins with our preview of Imaging Informatics, and specifically PACS, deep learning, and teleradiology.