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MRI: Page 240

Neuro atlas seeks to take fMRI to the next level
By Wayne Forrest
Monday, November 28 | 3:50 p.m.-4:00 p.m. | SSE17-06 | Room N228To overcome the limitations of functional MRI (fMRI), a group of researchers is developing an atlas to significantly enhance brain imaging and other related fMRI applications.
November 2, 2016
Real-time fMRI tackles smoking cessation
By Wayne Forrest
Monday, November 28 | 3:30 p.m.-3:40 p.m. | SSE17-04 | Room N228In the battle to help patients quit smoking successfully, real-time functional MRI (fMRI) may provide the ammunition to succeed once and for all. The goal is to reduce neural activity in certain regions of the brain that are most affected by nicotine exposure, according to researchers from Germany.
November 2, 2016
MRI study targets chemotherapy-induced peripheral neuropathy
By Wayne Forrest
Monday, November 28 | 3:10 p.m.-3:20 p.m. | SSE14-02 | Room E450BThis pilot study with MR neurography and diffusion-tensor MRI shows how the two imaging techniques could enhance the evaluation of peripheral nerves in patients with chemotherapy-induced peripheral neuropathy.
November 2, 2016
Technique offers efficient analysis of MRI data for Alzheimer's
By Wayne Forrest
Monday, November 28 | 3:00 p.m.-3:10 p.m. | SSE18-01 | Room N229In this Monday scientific session, researchers will outline a novel approach to differentiating early Alzheimer's disease patients from control subjects.
November 2, 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 2, 2016
Stepping test: A reliable way to measure 7-tesla MRI side effects
By Wayne Forrest
Monday, November 28 | 11:50 a.m.-12:00 p.m. | SSC11-09 | Room N226The Unterberger stepping test is a viable way to measure how 7-tesla MRI may affect the inner ear and, hence, the sense of balance, German researchers have concluded.
November 2, 2016
MRI tracks the potential effects of too much iron
By Wayne Forrest
Monday, November 28 | 11:40 a.m.-11:50 a.m. | SSC06-08 | Room N228This presentation offers some words of advice for radiologists: Watch for possible adrenal gland involvement, especially in the spleen, liver, and/or bone marrow, in cases of hemosiderosis.
November 2, 2016
MRI shows benefits for renal cell carcinoma
By Wayne Forrest
Monday, November 28 | 11:10 a.m.-11:20 a.m. | SSC06-05 | Room N228By better analyzing renal cell carcinoma, MRI could be a beneficial tool for determining whether patients with the disease should receive surgery or other treatments, say U.S. researchers.
November 2, 2016
MRI with ultrashort echo time advances lung screening
By Wayne Forrest
Monday, November 28 | 11:00 a.m.-11:10 a.m. | SSC03-04 | Room S404CDIn this Monday morning session, German researchers will extol the benefits of 3-tesla MRI with ultrashort echo time for creating high-resolution images comparable to those of CT for lung nodule characterization.
November 2, 2016
Study links MRI biomarkers with breast cancer prognosis
By Wayne Forrest
Monday, November 28 | 10:40 a.m.-10:50 a.m. | SSC08-02 | Room S402ABCertain MRI biomarkers may provide an early prediction of how a breast cancer patient will respond to the first cycle of neoadjuvant chemotherapy, and they may help determine whether additional treatment is necessary, according to a new study.
November 2, 2016
DCE-MRI provides biomarkers for endometrial cancer
By Wayne Forrest
Sunday, November 27 | 11:45 a.m.-11:55 a.m. | SSA11-07 | Room E353BIn this talk, researchers will discuss how dynamic contrast-enhanced MRI (DCE-MRI) is an effective tool for detailing tumor microvasculature in endometrial cancer and how that information can help predict patient survival.
November 2, 2016
Machine learning can assess MR image quality
By Erik L. Ridley
Sunday, November 27 | 11:25 a.m.-11:35 a.m. | SSA22-05 | Room S405ABGerman researchers will explain in this scientific presentation how machine-learning technology can handle the challenge of assessing the image quality of MR studies.
November 2, 2016
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