Journal of Magnetic Resonance Imaging最新文献

{"title":"Editorial for \"Body Satisfaction, Exercise Dependence, and White Matter Microstructure in Young Adults\".","authors":"Benjamin C Musall, Mark E Schweitzer","doi":"10.1002/jmri.29539","DOIUrl":"https://doi.org/10.1002/jmri.29539","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141751871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reply to Letter to Editor Regarding \"Auditory Effects of Acoustic Noise From 3-T Brain MRI in Neonates With Hearing Protection\".","authors":"Chao Jin, Huifang Zhao, Jian Yang","doi":"10.1002/jmri.29515","DOIUrl":"https://doi.org/10.1002/jmri.29515","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141748415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Alveolar Soft Tissue Sarcoma: Correlation of MRI Features With Histological Grading and Patient Prognosis.","authors":"Junhui Yuan, Deshun Xie, Shaobo Fang, Fan Meng, Dongqiu Shan, Yuanyuan Wang, Xinhui Du, Chunmiao Xu, Renzhi Zhang, Xuejun Chen","doi":"10.1002/jmri.29545","DOIUrl":"https://doi.org/10.1002/jmri.29545","url":null,"abstract":"<p><strong>Background: </strong>Alveolar Soft Part Sarcoma (ASPS) is a rare, aggressive cancer whose diagnosis and treatment depend on histological grading. However, tumor variability can lead to underestimation, affecting treatment, and patient survival.</p><p><strong>Objective: </strong>To evaluate MRI features associated with Grade III ASPS and to determine the relationship between MRI features and patient prognosis.</p><p><strong>Study type: </strong>Retrospective analysis.</p><p><strong>Subjects: </strong>Sixty-seven patients with ASPS were included with 37 males and 30 females (M/F = 1.23) follow-up and survival analysis on 50 patients.</p><p><strong>Field strength/sequence: </strong>A 3.0 T, T1WI-FSE, T2WI-FSE, DWI-EPI, DCE-MRI (gradient echo).</p><p><strong>Assessment: </strong>MRI features (margin, peritumoral oedema, peritumoral enhancement, necrosis, vascular flow void signal, heterogeneous signal intensity [SI] at T1WI and T2WI, ADCmean, time-intensity curve [TIC] type, distant metastasis, and bone invasion) and histological grading were independently evaluated by three radiologists and two pathologists, with Grade III considered high-grade.</p><p><strong>Statistical tests: </strong>The chi-square or Fisher's exact test was used to assess the correlation between MRI features and histological grading. Multivariable binary logistic regression identified independent factors associated with high-grade tumors. The Kaplan-Meier method and Cox proportional hazards model were used to calculate hazard ratios for MRI features.</p><p><strong>Results: </strong>Tumor necrosis, heterogeneous SI at T2WI ≥50%, and ADCmean were associated with high-grade ASPS. Tumor necrosis was an independent factors associated with local relapse-free survival (odds ratio [OR], 3.88). TIC type was associated with 5-year survival rate (OR, 2.80) and local relapse-free survival (OR, 2.69). Heterogeneous SI at T2WI ≥50% was associated with 5-year survival (OR, 4.00), local relapse-free survival (OR, 5.58), and local relapse-free survival (OR, 4.84).</p><p><strong>Data conclusion: </strong>MRI features including tumor necrosis, heterogeneity of SI at T2WI, ADCmean, and TIC type aid in assessing ASPS grading and prognosis.</p><p><strong>Evidence level: </strong>4 TECHNICAL EFFICACY: Stage 5.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141734336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Self-Gated Radial Free-Breathing Liver MR Elastography: Assessment of Technical Performance in Children at 3 T.","authors":"Sevgi Gokce Kafali, Bradley D Bolster, Shu-Fu Shih, Timoteo I Delgado, Vibhas Deshpande, Xiaodong Zhong, Timothy R Adamos, Shahnaz Ghahremani, Kara L Calkins, Holden H Wu","doi":"10.1002/jmri.29541","DOIUrl":"10.1002/jmri.29541","url":null,"abstract":"<p><strong>Background: </strong>Conventional liver magnetic resonance elastography (MRE) requires breath-holding (BH) to avoid motion artifacts, which is challenging for children. While radial free-breathing (FB)-MRE is an alternative for quantifying liver stiffness (LS), previous methods had limitations of long scan times, acquiring two slices in 5 minutes, and not resolving motion during reconstruction.</p><p><strong>Purpose: </strong>To reduce FB-MRE scan time to 4 minutes for four slices and to investigate the impact of self-gated (SG) motion compensation on FB-MRE LS quantification in terms of agreement, intrasession repeatability, and technical quality compared to conventional BH-MRE.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Population: </strong>Twenty-six children without fibrosis (median age: 12.9 years, 15 females).</p><p><strong>Field strength/sequence: </strong>3 T; Cartesian gradient-echo (GRE) BH-MRE, research application radial GRE FB-MRE.</p><p><strong>Assessment: </strong>Participants were scanned twice to measure repeatability, without moving the table or changing the participants' position. LS was measured in areas of the liver with numerical confidence ≥90%. Technical quality was examined using measurable liver area (%).</p><p><strong>Statistical tests: </strong>Agreement of LS between BH-MRE and FB-MRE was evaluated using Bland-Altman analysis for SG acceptance rates of 40%, 60%, 80%, and 100%. LS repeatability was assessed using within-subject coefficient of variation (wCV). The differences in LS and measurable liver area were examined using Kruskal-Wallis and Wilcoxon signed-rank tests. P < 0.05 was considered significant.</p><p><strong>Results: </strong>FB-MRE with 60% SG achieved the closest agreement with BH-MRE (mean difference 0.00 kPa). The LS ranged from 1.70 to 1.83 kPa with no significant differences between BH-MRE and FB-MRE with varying SG rates (P = 0.52). All tested methods produced repeatable LS with wCV from 4.4% to 6.5%. The median measurable liver area was smaller for FB-MRE (32%-45%) than that for BH-MRE (91%-93%) (P < 0.05).</p><p><strong>Data conclusion: </strong>FB-MRE with 60% SG can quantify LS with close agreement and comparable repeatability with respect to BH-MRE in children.</p><p><strong>Level of evidence: </strong>2 TECHNICAL EFFICACY: Stage 1.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141734337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial for \"The Diagnostic Value of Conventional MRI Combined With Diffusion-Weighted Imaging in Microprolactinomas\".","authors":"James T Grist","doi":"10.1002/jmri.29538","DOIUrl":"https://doi.org/10.1002/jmri.29538","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141626922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial for \"Deep Learning Assisted Classification of T1ρ-MR Based Intervertebral Disc Degeneration Phases\".","authors":"Rafeek Thahakoya","doi":"10.1002/jmri.29509","DOIUrl":"https://doi.org/10.1002/jmri.29509","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141626921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial for \"Post-Myocardial Infarction Remodeling and Hyperkinetic Remote Myocardium in Sheep Measured by Cardiac MRI Feature Tracking\".","authors":"Nishanth D Tirukoti","doi":"10.1002/jmri.29516","DOIUrl":"https://doi.org/10.1002/jmri.29516","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141620173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring Prolonged Efficacy of Ferumoxytol-Enhanced Whole-Body MR Angiography: A Preliminary Study in Healthy Male Subjects.","authors":"Guangxiang Si, Yuehong Liu, Jingyi Sheng, Gao Ma, Zhenyue Gao, Zhenyu Li, Zhaochen Jia, Jinling Xue, Dan Mu, Bin Sun, Yu Mao, Xiaoyue Zhou, Chuan Chen, Yujie Wang, Hong Ge, Qi Yang, Ning Gu","doi":"10.1002/jmri.29537","DOIUrl":"https://doi.org/10.1002/jmri.29537","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141620174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep Learning Assisted Classification of T1ρ-MR Based Intervertebral Disc Degeneration Phases.","authors":"Yanrun Li, Meiyu Hu, Junhong Chen, Zemin Ling, Xuenong Zou, Wuteng Cao, Fuxin Wei","doi":"10.1002/jmri.29499","DOIUrl":"https://doi.org/10.1002/jmri.29499","url":null,"abstract":"<p><strong>Background: </strong>According to the T1ρ value of nucleus pulposus, our previous study has found that intervertebral disc degeneration (IDD) can be divided into three phases based on T1ρ-MR, which is helpful for the selection of biomaterial treatment timing. However, the routine MR sequences for patients with IDD are T1- and T2-MR, T1ρ-MR is not commonly used due to long scanning time and extra expenses, which limits the application of T1ρ-MR based IDD phases.</p><p><strong>Purpose: </strong>To build a deep learning model to achieve the classification of T1ρ-MR based IDD phases from routine T1-MR images.</p><p><strong>Study type: </strong>Retrospective.</p><p><strong>Population: </strong>Sixty (M/F: 35/25) patients with low back pain or lower limb radiculopathy are randomly divided into training (N = 50) and test (N = 10) sets.</p><p><strong>Field strength/sequences: </strong>1.5 T MR scanner; T1-, T2-, and T1ρ-MR sequence (spin echo).</p><p><strong>Assessment: </strong>The T1ρ values of the nucleus pulposus in intervertebral discs (IVDs) were measured. IVDs were divided into three phases based on the mean T1ρ value: pre-degeneration phase (mean T1ρ value >110 msec), rapid degeneration phase (mean T1ρ value: 80-110 msec), and late degeneration phase (mean T1ρ value <80 msec). After measurement, the T1ρ values, phases, and levels of IVDs were input into the model as labels.</p><p><strong>Statistical tests: </strong>Intraclass correlation coefficient, area under the receiver operating characteristic curve (AUC), F1-score, accuracy, precision, and recall (P < 0.05 was considered significant).</p><p><strong>Results: </strong>In the test dataset, the model achieved a mean average precision of 0.996 for detecting IVD levels. The diagnostic accuracy of the T1ρ-MR based IDD phases was 0.840 and the AUC was 0.871, the average AUC of 5-folds cross validation was 0.843.</p><p><strong>Data conclusion: </strong>The proposed deep learning model achieved the classification of T1ρ-MR based IDD phases from routine T1-MR images, which may provide a method to facilitate the application of T1ρ-MR in IDD.</p><p><strong>Evidence level: </strong>4 TECHNICAL EFFICACY: Stage 2.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141620172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial for \"Acquisition Efficiency and Technical Repeatability of Dual-Frequency 3D Vector MR Elastography of the Liver\".","authors":"Yufan Qian, Lian-Ming Wu","doi":"10.1002/jmri.29510","DOIUrl":"https://doi.org/10.1002/jmri.29510","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141603761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}