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MRI: Page 235

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
Machine learning predicts working memory performance
By Erik L. Ridley
Tuesday, November 28 | 3:30 p.m.-3:40 p.m. | SSJ19-04 | Room N228This Tuesday afternoon session will reveal how machine learning can predict a person's working memory performance by analyzing brain white-matter microstructure.
November 5, 2017
Machine learning differentiates brain tumors
By Erik L. Ridley
Tuesday, November 28 | 3:10 p.m.-3:20 p.m. | SSJ19-02 | Room N228Machine learning can distinguish between glioblastoma multiforme and primary central nervous system lymphoma on multiparametric MRI, according to researchers from Japan.
November 5, 2017
Deep learning with breast MRI boosts lesion detection
By Kate Madden Yee
Tuesday, November 28 | 11:20 a.m.-11:30 a.m. | RC315-14 | Arie Crown TheaterA deep-learning method using multiparametric breast MRI improves automated detection and characterization of breast lesions, according to research being presented at this Tuesday morning session.
November 5, 2017
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