Journal of magnetic resonance imaging : JMRI
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J Magn Reson Imaging · Oct 2019
Investigating GABA concentrations measured with macromolecule suppressed and unsuppressed MEGA-PRESS MR spectroscopy and their relationship with BOLD responses in the occipital cortex.
A combination of magnetic resonance spectroscopy (MRS) and functional (f)MRI is a promising method for studying brain activity. Negative results have, however, produced uncertainty as to the validity of the approach. Using a MEGA-PRESS sequence adapted to suppress the macromolecule signal (GABA-) has been suggested as a key methodological improvement, but there is some doubt as to the relationship between such estimates and those from the standard sequence (GABA+), making interpretation difficult. ⋯ 1 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2019;50:1285-1294.
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J Magn Reson Imaging · Oct 2019
Accuracy of deep learning to differentiate the histopathological grading of meningiomas on MR images: A preliminary study.
Grading of meningiomas is important in the choice of the most effective treatment for each patient. ⋯ 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:1152-1159.
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J Magn Reson Imaging · Oct 2019
Weakly supervised 3D deep learning for breast cancer classification and localization of the lesions in MR images.
The usefulness of 3D deep learning-based classification of breast cancer and malignancy localization from MRI has been reported. This work can potentially be very useful in the clinical domain and aid radiologists in breast cancer diagnosis. ⋯ 4 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2019;50:1144-1151.
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J Magn Reson Imaging · Sep 2019
Diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) mapping as a quantitative imaging biomarker for prediction of immunohistochemical receptor status, proliferation rate, and molecular subtypes of breast cancer.
Diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) mapping is one of the most useful additional MRI parameters to improve diagnostic accuracy and is now often used in a multiparameric imaging setting for breast tumor detection and characterization. ⋯ 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:836-846.
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J Magn Reson Imaging · Sep 2019
Application of neurite orientation dispersion and density imaging to characterize brain microstructural abnormalities in type-2 diabetics with mild cognitive impairment.
Diffusion-tensor-imaging (DTI) is sensitive in detecting white matter changes in type-2 diabetes mellitus (T2DM). However, DTI indices can be affected by either neurite density or spatial variation. A novel diffusion MRI technique, termed neurite orientation dispersion and density imaging (NODDI), can provide distinct indices of fiber density and dispersion. ⋯ 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:889-898.