Resources: Page 259

Quantitative CT analysis boosts spinal metastasis detection
By Eric Barnes
Wednesday, November 30 | 3:20 p.m.-3:30 p.m. | SSM18-03 | Room N229Epidural spine metastases are defined as a radiologic critical finding because any delay in reporting may result in substantially increased morbidity. But how can imaging be optimized to find more of them?
November 7, 2016
3D printing for congenital heart disease: Crisscross heart
By Eric Barnes
Wednesday, November 30 | 2:30 p.m.-4:00 p.m. | RCB44 | Room S401CDThis hands-on 3D printing course will look at congenital heart disease, focusing on crisscross or twisted heart and related conditions.
November 7, 2016
4D CT brain segmentation offers subtle clues in stroke
By Eric Barnes
Wednesday, November 30 | 10:30 a.m.-10:40 a.m. | SSK15-01 | Room N229Dutch researchers have successfully segmented gray and white matter in the brain using 4D CT. The technique provides a subtle assessment of the health of the brain for stroke treatment, and it could be useful in further segmentation and anatomic labeling, according to the group.
November 7, 2016
How to turn image files into 3D-printed models
By Eric Barnes
Tuesday, November 29 | 10:30 a.m.-12:00 p.m. | RCA32 | Room S401ABThis hands-on course taught by 3D printing experts will use practical examples to help participants learn how to convert cross-sectional images into 3D-printed models.
November 7, 2016
3D heart models take on cardiac ablation
By Eric Barnes
Tuesday, November 29 | 9:50 a.m.-10:00 a.m. | RC303-06 | Room S504ABHoping to build a better interventional technique for doctors treating ventricular tachycardia with ablation guided by electroanatomic mapping (EAM), Italian researchers used CT to create a 3D heart model for each patient, overlaying EAM on the CT images to guide ablation. Hint: It works better than EAM alone.
November 7, 2016
Implementing quality control is essential with 3D printing
By Eric Barnes
Monday, November 28 | 3:10 p.m.-3:20 p.m. | SSE13-02 | Room S404CDAs 3D printing has surged in popularity, quality control (QC) has become an essential partner in the development process. Radiologists at the University of Pittsburgh Medical Center have built a comprehensive and methodical QC plan for the task.
November 7, 2016
3D printing improves understanding of congenital heart disease
By Eric Barnes
Monday, November 28 | 2:30 p.m.-4:00 p.m. | RCB24 | Room S401CDThis hands-on 3D printing course will explore how to recognize congenital heart disease, the most common significant birth defect and one that usually requires surgical treatment. This particular session focuses on the double-outlet right ventricle in all its forms and permutations.
November 7, 2016
How to build a collaborative 3D printing lab
By Eric Barnes
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
Deep learning shows promise for reading chest x-rays
By Erik L. Ridley
Monday, November 28 | 12:15 p.m.-12:45 p.m. | IN211-SD-MOA2 | Lakeside, IN Community, Station 2A deep-learning method could be used to provide a more "human-like" diagnosis on chest x-rays, according to a group from the U.S. National Institutes of Health Clinical Center.
November 7, 2016
CAD boosts MRI proficiency for prostate cancer
By Wayne Forrest
Monday, November 28 | 11:50 a.m.-12:00 p.m. | SSC08-09 | Room S402ABAdding computer-aided detection (CAD) results in greater sensitivity and interreader agreement for radiologists interpreting multiparametric MRI scans for prostate cancer, as well as reduced reading times, according to researchers from Italy.
November 7, 2016
Deep learning + CADx combo performs best in breast tumors
By Erik L. Ridley
Monday, November 28 | 11:30 a.m.-11:40 a.m. | SSC08-07 | Room S402ABIn this talk, researchers will describe how the combination of deep convolutional neural networks and computer-assisted diagnosis (CADx) software yields improved diagnostic performance in differentiating breast tumors on full-field digital mammography and ultrasound.
November 7, 2016
Radiogenomics mapping joins lung nodule features with genes
By Eric Barnes
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
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