Journal of magnetic resonance imaging : JMRI
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J Magn Reson Imaging · Jan 2019
Assessment of a high-SNR chemical-shift-encoded MRI with complex reconstruction for proton density fat fraction (PDFF) estimation overall and in the low-fat range.
Improving the signal-to-noise ratio (SNR) of chemical-shift-encoded MRI acquisition with complex reconstruction (MRI-C) may improve the accuracy and precision of noninvasive proton density fat fraction (PDFF) quantification in patients with hepatic steatosis. ⋯ 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:229-238.
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J Magn Reson Imaging · Jan 2019
Preoperative prediction of sentinel lymph node metastasis in breast cancer by radiomic signatures from dynamic contrast-enhanced MRI.
Sentinel lymph node (SLN) status is an important prognostic factor for patients with breast cancer, which is currently determined in clinical practice by invasive SLN biopsy. ⋯ 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:131-140.
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J Magn Reson Imaging · Jan 2019
Comparative StudyComparing the reproducibility of commonly used magnetic resonance spectroscopy techniques to quantify cerebral glutathione.
Cerebral glutathione (GSH), a marker of oxidative stress, has been quantified in neurodegenerative diseases and psychiatric disorders using proton magnetic resonance spectroscopy (MRS). Using a reproducible MRS technique is important, as it minimizes the impact of measurement technique variability on the study results and ensures that other studies can replicate the results. ⋯ 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:176-183.
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J Magn Reson Imaging · Jan 2019
Quantitative MRI of visually intact rotator cuff muscles by multiecho Dixon-based fat quantification and diffusion tensor imaging.
Quantitative MRI allows assessment of shoulder rotator cuff (RC) muscles by Dixon MR sequences with calculation of fractional fat content (FF%) maps and diffusion tensor imaging (DTI) including tractography. ⋯ 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:109-117.
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J Magn Reson Imaging · Jan 2019
Intravoxel incoherent motion diffusion-weighted MRI of invasive breast cancer: Correlation with prognostic factors and kinetic features acquired with computer-aided diagnosis.
As both intravoxel incoherent motion (IVIM) modeling and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) provide perfusion parameters, IVIM-derived perfusion parameters might be expected to correlate with the kinetic features from DCE-MRI. ⋯ 4 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:118-130.