Lennartz, Simon Zopfs, David Nobis, Anne Paquet, Stefanie Hoyer, Ulrike Cornelia Isabel Zäske, Charlotte Goertz, Lukas Kabbasch, Christoph Laukamp, Kai Roman Große Hokamp, Nils
...
Published in
Journal of magnetic resonance imaging : JMRI
MRI follow-up is widely used for longitudinal assessment of astrocytoma, yet reading can be tedious and error-prone, in particular when changes are subtle. To determine the effect of automated, color-coded coregistration (AC) of fluid attenuated inversion recovery (FLAIR) sequences on diagnostic accuracy, certainty, and reading time compared to con...
Zhuang, Baiyan Li, Shuang Xu, Jing Zhou, Di Yin, Gang Zhao, Shihua Lu, Minjie
Published in
Journal of magnetic resonance imaging : JMRI
Left and right cardiac structures have been shown to provide important prognostic information in patients with various cardiac disorders. They have always been important biomarkers in patients with heart failure and are crucial in the judgment of a variety of heart diseases. To provide age- and sex-specific reference values of the normal cardiac st...
Hansson, Boel Markenroth Bloch, Karin Owman, Titti Nilsson, Markus Lätt, Jimmy Olsrud, Johan Björkman-Burtscher, Isabella M
Published in
Journal of magnetic resonance imaging : JMRI
Ultrahigh-field (UHF) MRI advances towards clinical use. Patient compliance is generally high, but few large-scale studies have investigated the effects experienced in 7T MRI systems, especially considering peripheral nerve stimulation (PNS) and caregiving. To evaluate the quantity, the intensity, and subjective experiences from short-term effects,...
Macdonald, D Blair Walsh, Cynthia B McInnes, Matthew D F
Published in
Journal of magnetic resonance imaging : JMRI
5 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2020;52:1029-1030. © 2019 International Society for Magnetic Resonance in Medicine.
Reig, Beatriu Heacock, Laura Geras, Krzysztof J Moy, Linda
Published in
Journal of magnetic resonance imaging : JMRI
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 mult...
Reizine, Edouard Luciani, Alain
Published in
Journal of magnetic resonance imaging : JMRI
5 TECHNICAL EFFICACY STAGE: 3 CONFLICT OF INTEREST: None. None. J. Magn. Reson. Imaging 2020;52:1279-1280. © 2020 International Society for Magnetic Resonance in Medicine.
Lyu, Jian Yang, Guixiang Mei, Yingjie Guo, Li Guo, Yihao Zhang, Xinyuan Xu, Yikai Feng, Yanqiu
Published in
Journal of magnetic resonance imaging : JMRI
Non-Gaussian diffusion models and T1 rho quantification may reflect the changes in tissue heterogeneity in hepatic sinusoidal obstruction syndrome (SOS). To investigate the feasibility of diffusion kurtosis imaging (DKI), stretched exponential model (SEM), and T1 rho quantification in detecting and staging SOS in a monocrotaline (MCT)-induced rat m...
Gonçalves, Fabrício Guimarães Chawla, Sanjeev Mohan, Suyash
Published in
Journal of magnetic resonance imaging : JMRI
Glioblastoma is the most common and most malignant primary brain tumor. Despite aggressive multimodal treatment, its prognosis remains poor. Even with continuous developments in MRI, which has provided us with newer insights into the diagnosis and understanding of tumor biology, response assessment in the posttherapy setting remains challenging. We...
Tibrewala, Radhika Ozhinsky, Eugene Shah, Rutwik Flament, Io Crossley, Kay Srinivasan, Ramya Souza, Richard Link, Thomas M Pedoia, Valentina Majumdar, Sharmila
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Published in
Journal of magnetic resonance imaging : JMRI
Accurate interpretation of hip MRI is time-intensive and difficult, prone to inter- and intrareviewer variability, and lacks a universally accepted grading scale to evaluate morphological abnormalities. To 1) develop and evaluate a deep-learning-based model for binary classification of hip osteoarthritis (OA) morphological abnormalities on MR image...
Liu, Hai-Feng Zou, Li-Qiu Lu, Xing-Ru Sheng, Ye Wang, Qing Ding, Jiu-Le Shi, Li Liu, Shui-Qing Xing, Wei
Published in
Journal of magnetic resonance imaging : JMRI
The diagnostic efficacy of contrast-enhanced magnetic resonance imaging (CEMRI) in diagnosing residual or recurrent hepatocellular carcinoma (HCC) after transarterial chemoembolization (TACE) is currently not completely clear. To investigate the diagnostic efficacy of CEMRI in detecting residual or recurrent HCCs after TACE by meta-analysis. System...
