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MRI: Page 207
4D MRI visualizes jaw and shoulder joints in action
By
Abraham Kim
Monday, November 27 | 3:10 p.m.-3:20 p.m. | SSE14-02 | Room E450BIs the use of 4D MRI feasible for imaging the temporomandibular and glenohumeral joints in motion? Researchers from the U.S. and Japan believe it is.
November 7, 2017
Brain MRI shows long-term adverse effects of West Nile virus
By
Wayne Forrest
MR images of people who develop neurological complications from West Nile virus show that many of these patients experience brain damage years after the original infection, according to a new study presented on Tuesday at the American Society of Tropical Medicine and Hygiene annual meeting.
November 7, 2017
More on the Norris gadolinium lawsuit | Nodules on CT lung screens | On the Road again
By
Brian Casey
November 6, 2017
MRgFUS works for treating nonspinal osteoid osteoma
By
Kate Madden Yee
Wednesday, November 29 | 11:40 a.m.-11:50 a.m. | SSK13-08 | Room E353CHigh-intensity MR-guided focused ultrasound (MRgFUS) is a safe and effective treatment option for nonspinal osteoid osteoma, according to research being presented on Wednesday morning.
November 6, 2017
New technique registers US, MRI data for spine interventions
By
Kate Madden Yee
Tuesday, November 28 | 3:30 p.m.-3:40 p.m. | SSJ21-04 | Room S403AA new technique by researchers at Johns Hopkins University could provide a way to use ultrasound to guide spine needle interventions.
November 6, 2017
Breast MRI neural networks predict recurrence scores
By
Kate Madden Yee
Friday, December 1 | 11:20 a.m.-11:30 a.m. | SST01-06 | Room E450BResearchers in New York have found that deep-learning networks can be trained with breast MRI data to predict Oncotype DX recurrence scores.
November 5, 2017
Machine learning can determine onset of stroke symptoms
By
Erik L. Ridley
Wednesday, November 29 | 3:50 p.m.-4:00 p.m. | SSM12-06 | Room S404CDA South Korean research team will describe the potential of machine learning for the crucial task of determining when acute ischemic stroke patients began experiencing symptoms.
November 5, 2017
Machine learning forecasts survival in glioma patients
By
Erik L. Ridley
Wednesday, November 29 | 3:10 p.m.-3:20 p.m. | SSM12-02 | Room S404CDMachine learning using MRI radiomic features may be able to predict the survival of patients with gliomas, according to this study from a research group in Taiwan.
November 5, 2017
AI may enhance MRI-guided adaptive radiation therapy
By
Erik L. Ridley
Wednesday, November 29 | 3:00 p.m.-3:10 p.m. | SSM12-01 | Room S404CDArtificial intelligence (AI) can provide automatic contouring of tumors and organs to support daily MRI-guided adaptive radiation therapy, researchers will report in this Wednesday session.
November 5, 2017
Deep learning can predict infarction risk after stroke
By
Erik L. Ridley
Wednesday, November 29 | 11:00 a.m.-11:10 a.m. | SSK15-04 | Room N226In this morning talk, researchers will describe how deep learning can help guide treatment decisions for patients with acute ischemic stroke.
November 5, 2017
CAD software tracks changes in brain metastases
By
Erik L. Ridley
Wednesday, November 29 | 11:00 a.m.-11:10 a.m. | RC505-09 | Room E451BComputer-aided detection (CAD) software can be used to detect and quantify changes in brain metastases on MRI, according to researchers from Philadelphia.
November 5, 2017
Machine learning can help predict KRAS mutation status
By
Erik L. Ridley
Wednesday, November 29 | 10:40 a.m.-10:50 a.m. | SSK07-02 | Room E353AMachine learning and quantitative MRI features can assist in predicting the KRAS mutation status of tumors in patients with metastatic colon cancer, according to Harvard researchers.
November 5, 2017
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