Eric Barnes

Advanced Visualization
How to build a collaborative 3D printing lab
Monday, November 28 | Approximately 1:30 p.m.-2:00 p.m. | RCC23D | Room S501ABCThis course, the last in Monday's 3D Printing: Clinical Applications I session that runs from 12:30 p.m. to 2:00 p.m., is a how-to for creating a collaborative 3D printing lab in today's environment of rapidly accelerating technology development.
November 7, 2016
Advanced Visualization
Radiogenomics mapping joins lung nodule features with genes
Monday, November 28 | 11:20 a.m.-11:30 a.m. | SSC08-06 | Room S402ABResearchers from Stanford University built a radiogenomics map that linked high-level metagenes detailing lung cancer pathways with CT images, opening a window on predicting survival.
November 7, 2016
Advanced Visualization
IR boosts lung CAD detection at all dose levels
Monday, November 28, 2016 | 10:50 a.m.-11:00 a.m. | SSC03-03 | Room S404CDJapanese researchers found huge dose reductions combined with high nodule detection sensitivity when they used advanced iterative reconstruction (IR) with their newly developed computer-aided detection (CAD) scheme for lung nodules.
November 7, 2016
Advanced Visualization
4D CT kinematic assessment boosts radioulnar joint view
Sunday, November 27 | 12:05 p.m.-12:15 p.m. | SSA15-09 | Room S406B4D CT with a multiplanar reformatted technique is useful for evaluating motion of the distal radioulnar joint, according to this study being presented on Sunday afternoon.
November 7, 2016
Advanced Visualization
Should 4D flow replace standard MRI for LV function assessment?
Sunday, November 27 | 12:05 p.m.-12:15 p.m. | SSA03-09 | Room S502AB4D flow is a volumetric cardiac MR technique that in 10 short minutes provides both anatomic and flow information over the cardiac cycle in a nonbreath-hold acquisition. Is it ready to replace standard MRI for left ventricular (LV) assessment?
November 7, 2016
Advanced Visualization
CT software noninvasively stages liver fibrosis
Sunday, November 27 | 11:05 a.m.-11:15 a.m. | SSA09-03 | Room E450BResearchers from the University of Wisconsin-Madison have developed a semiautomated tool to assess for liver surface nodularity corresponding with liver fibrosis. The tool can predict both the presence of liver fibrosis and the disease stage.
November 7, 2016
Advanced Visualization
Road to RSNA 2016: Advanced Visualization Preview
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
2014 11 03 11 22 44 485 Road To Rsna 200
IS
Are CT reports transferred with trauma patients unreliable?
Sunday, November 27 | 10:45 a.m.-10:55 a.m. | SSA06-01 | Room N226Radiologists from a level I trauma center wondered if the CT reports they were getting for patients transferred to their emergency department were accurate. Their six-month investigation didn't deliver much confidence in the original reads.
November 6, 2016
CT
CCTA can cut complications and hospital stays
Coronary CT angiography (CCTA) is a safe gatekeeper for cardiac catheterization, reducing the need for intervention, boosting the diagnostic yield of interventions, and trimming minor procedural complications, reported German investigators writing in BMJ.
October 31, 2016
2016 11 01 09 23 56 682 Print Figure Option 2 Roh Mod
CT
Lung nodule assessment model sorts benign from malignant
Friday, December 2 | 10:40 a.m.-10:50 a.m. | SST03-02 | Room E451BIs there a better tool than the radiologist's eye to determine whether a CT-detected lung nodule is benign or malignant? There might be. In this study, researchers put a promising nodule discrimination model in a controlled observer study.
October 31, 2016
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Digital X-Ray
Chest x-rays reveal atherosclerosis in patients undergoing amputations
Lower limb amputation is an increasingly common major complication of advanced peripheral arterial disease and diabetes mellitus.
Cardiac Mri Adobe Samunella
MRI
3D MRI technique helps plan treatment for pediatric heart conditions
Images of a 39-year-old who underwent screening mammography. Right craniocaudal (left) and mediolateral oblique (middle) views from preoperative mammography show suspicious grouped fine pleomorphic calcifications (arrows). After biopsy showed ductal carcinoma of situ (DCIS), patient underwent breast-conserving surgery, yielding final diagnosis of ductal carcinoma in situ (intermediate grade, hormone receptor positive). (Right) Screenshot of an output of a commercial AI tool applied to preoperative mammography. AI detected right breast lesion with score of 95% on both views (concentric colored circles). Present study’s reviewing radiologist deemed AI marking to correspond with site of DCIS.
Womens Imaging
Could AI scoring help with managing DCIS?
Axial contrast-enhanced CT scan in a 28-year-old premenopausal woman shows an incidentally detected solid-appearing left ovarian lesion (solid arrow) anterior to the uterus (U), associated with trace ascites in the right adnexa and cul de sac (dashed arrows). At pathologic analysis, this was shown to be ovarian dysgerminoma. Two readers misdiagnosed this lesion, one as a leiomyoma and one as an ovarian fibroma.
CT
Clinicians, beware: CT diagnostic accuracy varies by adnexal lesion type
Erin Stephens
Practice Management
Radiology coding update for 2026
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Study suggests real-world feasibility of AI-driven dose reduction with preserved diagnostic confidence in breast imaging.
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