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MRI: Page 179
How widespread is gadolinium accumulation in the brain?
By
Wayne Forrest
Wednesday, November 28 | 3:00 p.m.-3:10 p.m. | SSM19-01 | Room N227BGadolinium accumulation in the brain may occur with both linear and macrocyclic contrast agents, and it could be more widespread than previously thought, according to researchers from Switzerland.
October 30, 2018
PET/MRI works for cancer staging in pediatric patients
By
Wayne Forrest
Wednesday, November 28 | 12:45 p.m.-1:15 p.m. | PD191-ED-WEB7 | Lakeside, PD Community, Station 7PET/MRI has shown diagnostic value for cancer staging in adult patients, but what value does the hybrid modality provide for pediatric patients? Researchers from Stanford University answer this question in an educational exhibit.
October 30, 2018
Breast MRI may be good for intermediate-risk women
By
Kate Madden Yee
Wednesday, November 28 | 12:45 p.m.-1:15 p.m. | BR266-SD-WEB6 | Lakeside, BR Community, Station 6Screening breast MRI could be an effective tool for women with an intermediate risk of breast cancer, according to this poster being presented on Wednesday afternoon.
October 30, 2018
Deep-learning reconstruction improves coronary MR angiography
By
Wayne Forrest
Wednesday, November 28 | 11:40 a.m.-11:50 a.m. | SSK03-08 | Room S102CDIn this session, Japanese researchers will share results from their newly developed deep-learning reconstruction technique designed to improve image quality for noncontrast coronary MR angiography.
October 30, 2018
Fluorine MRI can identify veterans with respiratory issues
By
Wayne Forrest
Tuesday, November 27 | 3:50 p.m.-4:00 p.m. | SSJ05-06 | Room S404ABResearchers from Duke University Medical Center are exploring the use of fluorine-19 MRI to determine if soldiers are dealing with a condition known as war lung injury.
October 30, 2018
Cardiac FDG-PET/MRI's role in Anderson-Fabry disease
By
Wayne Forrest
Tuesday, November 27 | 3:50 p.m.-4:00 p.m. | SSJ03-06 | Room E353ASimultaneous cardiac FDG-PET/MRI could be a welcome option for the early detection of cardiac involvement in Anderson-Fabry disease and identifying different stages of disease progression, according to researchers from Italy.
October 30, 2018
Breast MRI tops DBT-ABVS for cancer staging
By
Kate Madden Yee
Tuesday, November 27 | 3:30 p.m.-3:40 p.m. | SSJ02-04 | Room E353CBreast MRI performs better for breast cancer treatment staging than the combination of digital breast tomosynthesis (DBT) and ultrasound automated breast volume scanning (ABVS) -- but the latter works well enough to offer patients an alternative if MRI isn't available, Italian researchers have found.
October 30, 2018
Using deep learning, MRI may help combat common brain tumor
By
Wayne Forrest
Tuesday, November 27 | 11:50 a.m.-12:00 p.m. | SSG10-09 | Room E353ACombining a deep-learning algorithm with quantitative MRI could help advance treatment and survival for patients with glioblastoma multiforme.
October 30, 2018
What can PET/MRI do for rectal imaging?
By
Wayne Forrest
Tuesday, November 27 | 11:00 a.m.-11:10 a.m. | SSG09-04 | Room S505ABBrazilian researchers will tout the clinical advantages of PET/MRI for rectal cancer and present an MRI protocol that keeps total scan time tolerable for patients.
October 30, 2018
PET/MRI with ferumoxytol MR contrast performs well for pediatric patients
By
Wayne Forrest
Monday, November 26 | 3:40 p.m.-3:50 p.m. | SSE21-05 | Room E353BClinicians can add a ferumoxytol contrast agent to MRI for simultaneous scans with FDG-PET in pediatric patients, with no worry about the contrast agent's effect on standardized uptakes values.
October 30, 2018
Can ferumoxytol MRI detect joint infiltration in pediatric cancer?
By
Wayne Forrest
Monday, November 26 | 3:30 p.m.-3:40 p.m. | SSE21-04 | Room E353BThe MRI contrast agent ferumoxytol might serve as an indicator of the infiltration of cancer into the joints of pediatric cancer patients, according to this pilot study.
October 30, 2018
Deep learning could aid MRI to detect mesial temporal sclerosis
By
Wayne Forrest
Monday, November 26 | 3:10 p.m.-3:20 p.m. | SSE19-02 | Room E352In this session, researchers will describe their early success in developing a deep-learning method featuring a convolutional neural network to help MRI detect mesial temporal sclerosis in epilepsy patients.
October 30, 2018
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