Journal of Magnetic Resonance Imaging最新文献

{"title":"Free Water MRI of White Matter in Wilson's Disease.","authors":"Xiao-Zhong Jing, Gai-Ying Li, Yu-Peng Wu, Xiang-Zhen Yuan, Hui-Jia Yang, Jia-Lin Chen, Shu-Hong Wang, Xiao-Ping Wang, Jian-Qi Li","doi":"10.1002/jmri.29657","DOIUrl":"https://doi.org/10.1002/jmri.29657","url":null,"abstract":"<p><strong>Background: </strong>Diffusion tensor imaging (DTI) is susceptible to partial volume effects from free water, which can be corrected by using bi-tensor free water imaging (FWI). This approach may improve the evaluation of microstructural changes associated with Wilson's disease (WD).</p><p><strong>Purpose: </strong>To investigate microstructural changes in white matter of WD using DTI and FWI.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Subjects: </strong>Nineteen neurological WD (7 female, 31.68 ± 7.89 years), 10 hepatic WD (3 female, 29.67 ± 13.37 years), and 25 healthy controls (13 female, 29.5 ± 7.7 years).</p><p><strong>Field strength/sequence: </strong>3-T, spin-echo echo-planar imaging diffusion-weighted imaging, T1-weighted, T2-weighted, fluid-attenuated inversion recovery.</p><p><strong>Assessment: </strong>Various diffusion metrics, including mean diffusivity (MD), radial diffusivity (RD), fractional anisotropy (FA), axial diffusivity (AD), free water, and free water-corrected metrics (MD_T, RD_T, FA_T, and AD_T) were estimated and compared across entire white matter skeleton among neurological WD, hepatic WD, and controls. Voxel-wise tract-based spatial statistics and region of interest (ROI) analysis based on white matter atlas were performed. Additionally, partial correlation analysis was conducted to assess the relationship between FWI indices in ROIs and clinical indicators.</p><p><strong>Statistical tests: </strong>One-way analysis of variance, family-wise error correction for multiple comparisons, and Bonferroni correction for post hoc comparisons. A P-value <0.05, corrected for multiple comparisons, was considered statistically significant.</p><p><strong>Results: </strong>Our study found significantly lower FA and higher MD, AD, and RD across most of white matter skeleton in neurological WD. Decreased FA_T and increased MD_T, AD_T, and RD_T were observed only in limited white matter areas compared to DTI indices. Additionally, a significant relationship was found between Unified WD Rating Scale neurological subscale of neurological WD and free water (r = 0.613) in middle cerebellar peduncle, AD_T (r = -0.555) in superior cerebellar peduncle, RD_T (r = 0.655), and FA_T (r = -0.660) in posterior limb in internal capsule.</p><p><strong>Data conclusion: </strong>FWI may allow a more precise evaluation of microstructural changes in WD than conventional DTI, with FWI metrics potentially correlating with clinical severity scores of WD patients.</p><p><strong>Level of evidence: </strong>2 TECHNICAL EFFICACY: Stage 2.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142605066","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":"Induction of Extremely Severe Nausea via Vestibular Activation on a 7 Tesla MRI Scanner.","authors":"Andrew J Fagan, Kimberly K Amrami, Robert E Watson, Muhammad A R Anjum, Kirk M Welker","doi":"10.1002/jmri.29656","DOIUrl":"10.1002/jmri.29656","url":null,"abstract":"<p><p>Extremely severe nausea was experienced by four subjects positioned prone on a 7T scanner table with their arm extended overhead for a wrist examination and their head positioned approximately 10-20 cm above the magnet's central axis. Movement through the large static and spatial field gradients of current 7T MRI scanner magnets typically causes mild vestibular activation which is well tolerated by most individuals. However, when positioned off-axis, the head moves through regions of even larger and more rapidly changing magnetic fields which in the current study were sufficient to induce the extremely severe nausea. Ensuring the head remains on-axis mitigates this effect.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142590828","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":"MRI Tomoelastography to Assess the Combined Status of Vessels Encapsulating Tumor Clusters and Microvascular Invasion in Hepatocellular Carcinoma.","authors":"Linhui Zhong, Shichao Long, Yigang Pei, Wenguang Liu, Juan Chen, Yu Bai, Yijing Luo, Bocheng Zou, Jing Guo, Mengsi Li, Wenzheng Li","doi":"10.1002/jmri.29654","DOIUrl":"10.1002/jmri.29654","url":null,"abstract":"<p><strong>Background: </strong>Integrating vessels encapsulating tumor clusters (VETC) and microvascular invasion (MVI) (VM hereafter) is potentially useful in risk stratification of hepatocellular carcinoma (HCC). However, noninvasive assessment methods for VM are lacking.</p><p><strong>Purpose: </strong>To investigate the diagnostic performance of tomoelastography in assessing the VM status in HCC.</p><p><strong>Study type: </strong>Retrospective.</p><p><strong>Population: </strong>One hundred sixty-eight patients with surgically confirmed HCC consisting of 115 training and 53 validation cohorts, divided into negative-VM and positive-VM groups with mild or severe-VMs. Of them, 127 patients completed the follow-up (median: 26.1 months).</p><p><strong>Field strength/sequence: </strong>3D multifrequency tomoelastography with a single-shot spin-echo echo-planar imaging sequence, and liver MRI including T1-weighted in-phase and opposed-phase gradient echo (GRE), T2-weighted turbo spin echo, diffusion-weighted imaging and dynamic contrast-enhanced T1-weighted GRE sequences at 3.0 T.</p><p><strong>Assessment: </strong>Shear wave speed (c) and phase angle of the shear modulus (φ) were calculated on tomoelastograms. Imaging features were visually analyzed and clinical features were collected. Conventional models used clinical and imaging features while nomograms combined tomoelastography, clinical and imaging features.</p><p><strong>Statistical tests: </strong>Univariable and multivariable logistic regression analyses, nomogram, area under the receiver operating characteristic curve (AUC), DeLong test, Kaplan-Meier analysis and log-rank test. P < 0.05 was considered statistically significant.</p><p><strong>Results: </strong>Tumor-to-liver parenchyma ratio of c (cr) and tumor c were independent risk factors for positive-VM and severe-VM, respectively. In validation cohort, the nomograms including cr and tumor c performed significantly better than the conventional models for diagnosing positive-VM (0.84 [95% CI: 0.72-0.93] vs. 0.77 [95% CI: 0.64-0.88]) and severe-VM (0.86 [95% CI: 0.68-0.96] vs. 0.75 [95% CI: 0.55-0.89]). Patients with estimated positive-VM (9.3 months)/severe-VM (9.2 months) based on nomograms had shorter median recurrence-free survival than those with estimated negative-VM (>20.0 months)/mild-VM (18.0 months) in validation cohort.</p><p><strong>Data conclusion: </strong>Tomoelastography based-nomograms showed good performance for noninvasively assessing VM status in patients with HCC.</p><p><strong>Evidence level: </strong>3 TECHNICAL EFFICACY: Stage 2.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142590842","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 the Editor - Critical Omissions Compromise Internal Validity in Jugular Vein Compression Collar Studies\".","authors":"Candace C Fleischer","doi":"10.1002/jmri.29652","DOIUrl":"10.1002/jmri.29652","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142590850","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 \"Development of a Dual-Plane MRI-Based Deep Learning Model to Assess the 1-Year Postoperative Outcomes in Lumbar Disc Herniation After Tubular Microdiscectomy\".","authors":"Gerhard S Drenthen, Daniel Uher","doi":"10.1002/jmri.29637","DOIUrl":"https://doi.org/10.1002/jmri.29637","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142580997","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":"Development of a Dual-Plane MRI-Based Deep Learning Model to Assess the 1-Year Postoperative Outcomes in Lumbar Disc Herniation After Tubular Microdiscectomy.","authors":"Kaifeng Wang, Fabin Lin, Zulin Liao, Yongjiang Wang, Tingxin Zhang, Rui Wang","doi":"10.1002/jmri.29639","DOIUrl":"https://doi.org/10.1002/jmri.29639","url":null,"abstract":"<p><strong>Background: </strong>Tubular microdiscectomy (TMD) is a treatment for lumbar disc herniation (LDH). Although the combination of MRI and deep learning (DL) has shown promise, its application in evaluating postoperative outcomes in TMD has not been fully explored.</p><p><strong>Purpose/hypothesis: </strong>To evaluate whether integrating preoperative dual-plane MRI-based DL features with clinical features can assess 1-year outcomes in TMD for LDH.</p><p><strong>Study type: </strong>Retrospective.</p><p><strong>Population/subjects: </strong>The study involved 548 patients who underwent TMD between January 2016 and January 2021. Training set (N = 305, mean age 51.85 ± 13.84 years, 56.4% male). Internal validation set (N = 131, mean age 51.85 ± 13.84 years, 54.2% male). External validation set (N = 112, mean age 51.54 ± 14.43 years, 50.9% male).</p><p><strong>Field strength/sequence: </strong>3 T MRI with sagittal and transverse T₂-weighted sequences (Fast Spin Echo).</p><p><strong>Assessment: </strong>Ground truth labels were based on improvement rate in 1-year Japanese Orthopaedic Association (JOA) scores. Information on 42 preoperative clinical features was collected. The largest protrusions were identified from T₂ MRI by three clinicians and were used to train deep learning models (ResNet50, ResNet101, and ResNet152) to extract DL features. After feature selection, three models were built, namely, clinical, DL, and combined models.</p><p><strong>Statistical tests: </strong>Chi-square or Fisher's exact tests was used for group comparisons. Quantitative differences were analyzed using the t-test or Mann-Whitney U test. P-values <0.05 were considered significant. Models were validated on internal and external datasets using metrics such as the area under the curve (AUC).</p><p><strong>Results: </strong>The AUCs of the clinical models achieved 0.806 (internal) and 0.779 (external). ResNet152 performed best in three DL models, with AUCs of 0.858 (internal) and 0.834 (external). The combined model achieved AUCs of 0.889 (internal) and 0.857 (external).</p><p><strong>Data conclusion: </strong>A model combining preoperative dual-plane MRI DL features and clinical features can assess 1-year outcomes of TMD for LDH.</p><p><strong>Evidence level: </strong>4 TECHNICAL EFFICACY: Stage 2.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142580987","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":"Glioblastomas and Temporalis Muscle.","authors":"Zezhong Ye, Dan Sun, Joshua S Lin","doi":"10.1002/jmri.29645","DOIUrl":"https://doi.org/10.1002/jmri.29645","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142581159","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 \"Longitudinal Evolution of the Brain Microstructure in Cirrhotic Patients on Diffusion Kurtosis Imaging\".","authors":"Raffaello Bonacchi, Ermelinda De Meo","doi":"10.1002/jmri.29655","DOIUrl":"https://doi.org/10.1002/jmri.29655","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142564307","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":"Longitudinal Evolution of the Brain Microstructure in Cirrhotic Patients on Diffusion Kurtosis Imaging.","authors":"Yuan-Yuan Chen, Zi-Ning Lu, Qi Zhang, Yi-Ning Zhang, Wen-Ting Ma, XiaoDi Zhang, Xiao-Dong Zhang, Hong-Yan Ni, Yue Cheng","doi":"10.1002/jmri.29648","DOIUrl":"https://doi.org/10.1002/jmri.29648","url":null,"abstract":"<p><strong>Background: </strong>Although improvement of cognitive function after liver transplantation has been demonstrated in several neuropsychological studies, there is limited research on longitudinal changes in the cirrhotic patients' brain structure before and after transplantation.</p><p><strong>Purpose: </strong>To investigate longitudinal changes of brain microstructure in cirrhotic patients using diffusion kurtosis imaging (DKI).</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Subjects: </strong>A total of 153 cirrhosis patients, comprising 60 hepatic encephalopathy (HE) patients (16 females/44 males) and 93 no-HE patients (35 females/58 males), along with 93 healthy controls (HCs) (53 females/40 males) were enrolled. Subsequently, 58 recipients completed 1-month postoperative follow-up, 29 patients completed 1-, 3-months, and 17 patients completed 1-, 3-, 6-month follow-up.</p><p><strong>Sequence: </strong>Spin-echo single-shot echo-planar sequence using a 3.0 T scanner.</p><p><strong>Assessment: </strong>Diffusion kurtosis estimator software was used to estimate the DKI parameter maps by a MR imaging physicist (Y.-Y.C. with 12 years of experience).</p><p><strong>Statistical tests: </strong>The diffusion metrics (eg, radial kurtosis [RK], mean kurtosis, fractional anisotropy, mean diffusivity) of the patients before transplantation were compared with those of the HCs using voxel-wise analysis of variance (ANOVA), along with t tests for post hoc analysis. Linear mixed-effects models were applied to the longitudinal data. We imposed a cluster level Family Wise Error (FWE) correction rate of P_FWE = 0.05 with voxel-wise cutoff of P = 0.001 together with a cluster-size cutoff of N ≥ 56, and generated smoothness estimates from the preprocessed data using the mixed-model autocorrelation function.</p><p><strong>Results: </strong>The RK metrics of the patients decreased significantly in the anterior cingulate cortex (HE/no-HE < HC, ANOVA-F = 21.91). After transplantation, the RK of the pallidum showed a continuous upward trend (time effect T = 11.26); whereas the RK of the right postcentral gyrus showed a continuous downward trend (time effect T = -9.56). In addition, the RK in superior longitudinal fasciculus showed new-onset decrease after transplantation.</p><p><strong>Data conclusion: </strong>Longitudinal changes in DKI metrics reveal the course of brain microstructural changes before and after transplantation in cirrhotic patients, potentially associated with cognitive alterations after surgery.</p><p><strong>Level of evidence: </strong>1 TECHNICAL EFFICACY: Stage 4.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142558067","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":"Critical Omissions Compromise Internal Validity in Jugular Vein Compression Collar Studies.","authors":"James M Smoliga, Zachary O Binney","doi":"10.1002/jmri.29650","DOIUrl":"https://doi.org/10.1002/jmri.29650","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142558066","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}