Journal of magnetic resonance imaging : JMRI
-
J Magn Reson Imaging · Nov 2020
Evaluating the Relationship Between Dynamic Contrast-Enhanced MRI (DCE-MRI) Parameters and Pathological Characteristics in Breast Cancer.
Dynamic contrast-enhanced MRI (DCE-MRI) is used to evaluate tumor microvasculature. However, studies demonstrating an association between perfusion parameters derived from DCE-MRI and histopathologic characteristics are limited to a small set of histopathologic factors, and the results are inconsistent. ⋯ 3 TECHNICAL EFFICACY STAGE: 2.
-
J Magn Reson Imaging · Nov 2020
ReviewCurrent state of the art MRI for the longitudinal assessment of cystic fibrosis.
Pulmonary MRI can now provide high-resolution images that are sensitive to early disease and specific to inflammation in cystic fibrosis (CF) lung disease. With specificity and function limited via computed tomography (CT), there are significant advantages to MRI. Many of the modern MRI techniques can be performed throughout life, and can be employed to understand changes over time, in addition to quantification of treatment response. ⋯ Magn. Reson. Imaging 2019.
-
J Magn Reson Imaging · Oct 2020
Observational StudyThree-Dimensional Surface-Based Analysis of Cartilage MRI Data in Knee Osteoarthritis: Validation and Initial Clinical Application.
Traditional quantitative analysis of cartilage with MRI averages measurements (eg, thickness) across regions-of-interest (ROIs) which may reduce responsiveness. ⋯ 2. J. Magn. Reson. Imaging 2020;52:1139-1151.
-
Machine-learning techniques have led to remarkable advances in data extraction and analysis of medical imaging. Applications of machine learning to breast MRI continue to expand rapidly as increasingly accurate 3D breast and lesion segmentation allows the combination of radiologist-level interpretation (eg, BI-RADS lexicon), data from advanced multiparametric imaging techniques, and patient-level data such as genetic risk markers. Advances in breast MRI feature extraction have led to rapid dataset analysis, which offers promise in large pooled multiinstitutional data analysis. ⋯ Magn. Reson. Imaging 2020;52:998-1018.
-
J Magn Reson Imaging · Oct 2020
Predicting the Outcome of Transcatheter Arterial Embolization Therapy for Unresectable Hepatocellular Carcinoma Based on Radiomics of Preoperative Multiparameter MRI.
In unresectable hepatocellular carcinoma (HCC), methods to predict patients at increased risk of progression are required. ⋯ 3. J. Magn. Reson. Imaging 2020;52:1083-1090.