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
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
Multicenter StudyPreoperative Assessment for High-Risk Endometrial Cancer by Developing an MRI- and Clinical-Based Radiomics Nomogram: A Multicenter Study.
High- and low-risk endometrial cancer (EC) differ in whether lymphadenectomy is performed. Assessment of high-risk EC is essential for planning surgery appropriately. ⋯ 4 TECHNICAL EFFICACY STAGE: 2 J. MAGN. RESON. IMAGING 2020;52:1872-1882.
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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.