Journal of magnetic resonance imaging : JMRI
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J Magn Reson Imaging · Jan 2021
Multiparametric-MRI-Based Radiomics Model for Differentiating Primary Central Nervous System Lymphoma From Glioblastoma: Development and Cross-Vendor Validation.
Preoperative differentiation of primary central nervous system lymphoma (PCNSL) from glioblastoma (GBM) is important to guide neurosurgical decision-making. ⋯ 4 TECHNICAL EFFICACY STAGE: 2.
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J Magn Reson Imaging · Jan 2021
An MRI-Based Radiomic Nomogram for Discrimination Between Malignant and Benign Sinonasal Tumors.
Preoperative discrimination between malignant and benign sinonasal tumors is important for treatment plan selection. ⋯ 4 TECHNICAL EFFICACY STAGE: 2.
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J Magn Reson Imaging · Dec 2020
Deep Learning Approach for Anterior Cruciate Ligament Lesion Detection: Evaluation of Diagnostic Performance Using Arthroscopy as the Reference Standard.
MRI is the most commonly used imaging method for diagnosing anterior cruciate ligament (ACL) injuries. However, the interpretation of knee MRI is time-intensive and depends on the clinical experience of the reader. An automated detection system based on a deep-learning algorithm may improve interpretation time and reliability. ⋯ 3 TECHNICAL EFFICACY STAGE: 1 J. MAGN. RESON. IMAGING 2020;52:1745-1752.
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J Magn Reson Imaging · Dec 2020
Prediction Model for Intermediate-Stage Hepatocellular Carcinoma Response to Transarterial Chemoembolization.
The outcome of intermediate-stage hepatocellular carcinoma (HCC) treated with transarterial chemoembolization (TACE) is greatly heterogeneous. Current means for predicting HCC response to TACE are lacking. ⋯ 1 TECHNICAL EFFICACY: Stage 1 J. MAGN. RESON. IMAGING 2020;52:1657-1667.
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J Magn Reson Imaging · Dec 2020
Observational StudyEffectively Measuring Exercise-Related Variations in T1ρ and T2 Relaxation Times of Healthy Articular Cartilage.
Determining the compositional response of articular cartilage to dynamic joint-loading using MRI may be a more sensitive assessment of cartilage status than conventional static imaging. However, distinguishing the effects of joint-loading vs. inherent measurement variability remains difficult, as the repeatability of these quantitative methods is often not assessed or reported. ⋯ 2 TECHNICAL EFFICACY STAGE: 1 J. MAGN. RESON. IMAGING 2020;52:1753-1764.