Journal of Magnetic Resonance Imaging最新文献

{"title":"Editorial for \"Magnetic Resonance Elastography in Breast Cancer: A Prospective Study on Optimal Imaging Frequency Selection and Differentiation of Molecular Subtypes\".","authors":"Yu Shi","doi":"10.1002/jmri.70472","DOIUrl":"10.1002/jmri.70472","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"1102-1103"},"PeriodicalIF":4.3,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13578514/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148701286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preoperative Prediction of Pituitary Adenoma Consistency Using Synthetic MRI and Virtual Magnetic Resonance Elastography.","authors":"Yunxiao Zhou, Qichao Qi, Xinghua Xu, Bao Wang, Jiajun Guo, Hongbo Li, Danyang Wu, Shilei Ni, Jingzhen He","doi":"10.1002/jmri.70406","DOIUrl":"10.1002/jmri.70406","url":null,"abstract":"<p><strong>Background: </strong>Pituitary macroadenomas consistency affects surgical planning and may limit complete resection. Advanced MRI techniques, including virtual magnetic resonance elastography (vMRE) and synthetic MRI, may enable preoperative prediction of pituitary macroadenomas consistency.</p><p><strong>Purpose: </strong>To evaluate the feasibility of vMRE and synthetic MRI for preoperative prediction of pituitary macroadenomas consistency.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Population: </strong>Sixty-five patients with pituitary macroadenomas were prospectively enrolled (39 females; age = 49.02 ± 8.53 years).</p><p><strong>Field strength/sequence: </strong>3.0 T; Diffusion-weighted imaging (DWI), vMRE imaging based on a turbo spin-echo sequence, and synthetic MRI using the MAGiC.</p><p><strong>Assessment: </strong>The tumor consistency was classified as either soft (n = 49) or hard (n = 16) by two neurosurgeons based on intraoperative findings. Apparent diffusion coefficient (ADC) values, contrast-enhanced T1 values, quantitative parameters (T1, T2, PD) derived from synthetic MRI, and vMRE stiffness values for pituitary macroadenomas were independently measured by two radiologists and were compared between two consistency groups.</p><p><strong>Statistical tests: </strong>Intraclass correlation coefficients (ICCs) were used to evaluate the inter-reader agreement of MRI-derived quantitative parameters. Clinical and pathological characteristics and MRI-related parameters were compared between the two groups using the independent t-test or the Chi-square test. Predictive modeling was assessed using receiver-operating-characteristic (ROC) curve analysis and multivariable logistic regression, and their predictive performance was evaluated using the area under the curve (AUC). A p < 0.05 was considered statistically significant.</p><p><strong>Results: </strong>Compared with soft groups, hard groups showed significantly lower T2 and ADC values and higher vMRE stiffness. Combined models of vMRE+ADC and ADC+T2 yielded AUCs of 0.830 and 0.797, respectively. The combination of vMRE, ADC, and T2 achieved the highest performance (AUC = 0.860).</p><p><strong>Data conclusions: </strong>The integration of vMRE stiffness with ADC and T2 values derived from synthetic MRI demonstrated preliminary feasibility for assessing pituitary macroadenomas' consistency in this internally validated cohort, suggesting a promising multiparametric approach.</p><p><strong>Evidence level: </strong>2.</p><p><strong>Technical efficacy: </strong>Stage 2.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"1145-1154"},"PeriodicalIF":4.3,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13578572/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148673703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Magnetic Resonance Elastography in Breast Cancer: A Prospective Study on Optimal Imaging Frequency Selection and Differentiation of Molecular Subtypes.","authors":"Xiaowen Ma, Yifeng Chen, Jinlong Zheng, Dingxia Liu, Feixiang Hu, Meng Yang, Xiyu Liu, Wenjuan Zhang, Yan Huang, Weijun Peng, Qin Xiao, Yajia Gu","doi":"10.1002/jmri.70469","DOIUrl":"10.1002/jmri.70469","url":null,"abstract":"<p><strong>Background: </strong>MR elastography (MRE) has applications in breast cancer, but its optimal frequency and value in discriminating molecular subtypes remain unclear.</p><p><strong>Purpose: </strong>To identify the preferable breast MRE frequency and evaluate MRE parameters in the precision diagnosis of breast cancer.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Population: </strong>One hundred fifty-four female patients (mean age 50 ± 10.67 years) were enrolled, including five with bilateral cancer, yielding 159 lesions.</p><p><strong>Field strength/sequence: </strong>3.0 T, fast gradient-echo for DCE-MRI, single-shot EPI for DWI/ADC, SE-EPI for multifrequency MRE.</p><p><strong>Assessment: </strong>The image quality of 10 frequency MRE sets was assessed (including overall image quality, diagnostic confidence, artifact impact, and signal-to-noise ratio). Stiffness (c) and viscosity (φ) were measured at the optimal frequency and compared across clinicopathological subgroups.</p><p><strong>Statistical tests: </strong>Independent-sample t-tests or one-way analysis of variance, Mann-Whitney U or Kruskal-Wallis H tests, Friedman test, χ² tests. Spearman's rank correlation. Univariate and multivariate analyses. Receiver operating characteristic (ROC) curves, the area under the curve (AUC). p < 0.05 was considered statistically significant.</p><p><strong>Results: </strong>The 40-70 Hz multifrequency band demonstrated significantly superior image quality compared with all other bands. Subgroup analyses showed that c and φ differed significantly between ER-positive and ER-negative groups (c values: 2.54 (2.17-2.86) vs. 2.80 (2.37-3.30) m/s; φ values: 1.17 ± 0.21 vs. 1.24 ± 0.22 radians) and across groups with different Ki-67 expression levels (c values: 2.54 ± 0.54 vs. 2.77 ± 0.57 m/s), T stage, molecular subtypes (c values: 2.55 (2.20-2.82) vs. 2.69 (2.20-2.96) vs. 2.94 (2.52-3.33) m/s), and enhancement patterns (c values: 2.34 ± 0.41 vs. 2.73 ± 0.58 m/s). Multivariable analysis identified c [OR: 5.37 (2.13-15.54)] and age group [OR: 0.27 (0.09-0.82)] as significant independent predictors of triple-negative breast cancer, and a predictive model incorporating these variables demonstrated an AUC of 0.739 in the training set and 0.700 in the validation set.</p><p><strong>Data conclusion: </strong>The 40-70 Hz multifrequency protocol may offer favorable image quality for breast MRE. MRE parameters, particularly stiffness, show potential for characterizing tissue biomechanical properties and could assist in distinguishing molecular subtypes.</p><p><strong>Evidence level: </strong>1.</p><p><strong>Stage of technical efficacy: </strong>Stage 2.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"1089-1101"},"PeriodicalIF":4.3,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13578548/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148620208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effectiveness of Ferromagnetic Detectors in Identifying Diabetes Management Devices During Pre-MRI Screening.","authors":"Robert E Watson, Mark N Keene, Jean Heimer, Cindy Lange","doi":"10.1002/jmri.70426","DOIUrl":"10.1002/jmri.70426","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"1182-1185"},"PeriodicalIF":4.3,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13578587/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148396925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multiparametric Quantitative MRI of Peripheral Nerves to Differentiate Demyelinating From Axonal Polyneuropathies.","authors":"Jesus E Fajardo, Vivian B Truong, Yang Xuan, Sara E Benitez, Mary L Vo, Bo Hu, Richard D Dortch, Jun Li, Yongsheng Chen","doi":"10.1002/jmri.70421","DOIUrl":"10.1002/jmri.70421","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Differentiating demyelinating from axonal polyneuropathies helps for accurate diagnosis and treatment. However, the current clinical tools lack sensitivity to confirm demyelination in peripheral nerves, particularly for proximal nerves.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Hypothesis: &lt;/strong&gt;Multiparametric quantitative MRI (qMRI) of peripheral nerves can differentiate demyelination from axonal loss.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Study type: &lt;/strong&gt;Retrospective.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Subjects: &lt;/strong&gt;Twenty patients with Charcot-Marie-Tooth type-1 (CMT1, demyelinating, females = 12), 12 patients with CMT2 (axonal, females = 6), 25 patients with hereditary neuropathy with liability to pressure palsies (HNPP, a cohort who often has intermediate changes between the two classifications, females = 17), and 25 healthy controls (HC, females = 14).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Field-strength/sequences: &lt;/strong&gt;3 T; 3D gradient-echo and spin-echo echo-planar-imaging-based diffusion tensor imaging.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Assessment: &lt;/strong&gt;Multiparametric qMRI maps were computed for magnetization transfer ratio (MTR), MT saturation index (MTsat), T&lt;sub&gt;2&lt;/sub&gt;*, T&lt;sub&gt;1&lt;/sub&gt;, proton density (PD), fractional anisotropy (FA), mean/axial/radial diffusivities (MD, AD, RD), and fascicular volume (fVol).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Statistical tests: &lt;/strong&gt;Descriptive statistics were performed for group comparisons for each qMRI parameter. Receiver operating characteristic (ROC) analysis with logistic regression was performed to stratify patients. A composite qMRI score, as the CMT Imaging Score (CMTIS), was developed to reflect disease severity using the CMT Neuropathy Score version-2 (CMTNSv2) as a clinical reference. The statistical significance level was set at p &lt; 0.05.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;CMT1 showed significantly increased fVol versus HCs (3733.7 ± 1426.9 mm&lt;sup&gt;3&lt;/sup&gt; vs. 1614.4 ± 286.32 mm&lt;sup&gt;3&lt;/sup&gt;), while CMT2 demonstrated reduced T&lt;sub&gt;2&lt;/sub&gt;* (25.24 ± 3.27 ms vs. 29.97 ± 4.28 ms). Both CMT1 and CMT2 exhibited reduced FA (0.32 ± 0.08 and 0.39 ± 0.11 vs. 0.54 ± 0.06), MTsat (2.24% ± 0.35% and 2.66% ± 0.34% vs. 3.07% ± 0.39%), and AD (1925.2 ± 216.6 μm&lt;sup&gt;2&lt;/sup&gt;/s and 1972.5 ± 197.4 μm&lt;sup&gt;2&lt;/sup&gt;/s vs. 2183.6 ± 178.7 μm&lt;sup&gt;2&lt;/sup&gt;/s), along with elevated T&lt;sub&gt;1&lt;/sub&gt; (1689.1 ± 196.9 ms and 1435.1 ± 171.7 ms vs. 1305.4 ± 120.7 ms) and RD (1177.2 ± 192.9 μm&lt;sup&gt;2&lt;/sup&gt;/s and 1065.9 ± 196.6 μm&lt;sup&gt;2&lt;/sup&gt;/s vs. 843.3 ± 101.1 μm&lt;sup&gt;2&lt;/sup&gt;/s), with larger abnormalities in CMT1. ROC analyses demonstrated strong discrimination of CMT1 and CMT2 (area under curves [AUCs]: 0.95 and 0.85 for sciatic; 0.89 and 0.73 for tibial nerves). CMTIS correlated strongly with CMTNSv2 (r = 0.67 sciatic; r = 0.72 tibial; r = 0.79 combined).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Data conclusions: &lt;/strong&gt;Multiparametric qMRI identified distinct imaging signatures of inherited demyelinating (CMT1) versus axonal (CMT2) polyneuropathies. The CMTIS showed strong potential as a monitoring biomarker in patients with inher","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"1077-1088"},"PeriodicalIF":4.3,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13578534/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148330594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial for \"An Expanded T2-FLAIR Mismatch Phenotype in IDH-Mutant Astrocytomas\".","authors":"Kaili Che, Ning Mao","doi":"10.1002/jmri.70413","DOIUrl":"10.1002/jmri.70413","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"1143-1144"},"PeriodicalIF":4.3,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13578558/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148301918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Imaging Near Spinal Fixation Hardware at 0.55 T Compared With 3 T.","authors":"Bahadır Alp Barlas, Kübra Keskin, Bochao Li, Jay Acharya, Jordan S Gross, Sophia X Cui, Zorica Buser, Jeffrey C Wang, Brian A Hargreaves, Krishna S Nayak","doi":"10.1002/jmri.70409","DOIUrl":"10.1002/jmri.70409","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"1175-1181"},"PeriodicalIF":4.3,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13459649/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148295316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Restricted Spectrum Imaging for Diagnosis of High-Risk Metabolic Dysfunction-Associated Steatohepatitis.","authors":"Jie Yuan, Huamei Yan, Zhiwei Qin, Liping You, Guangda Liu, Wei Xu, Zheng Tu, Jinghao Zhang, Xuehua Sun, Wenli Tan","doi":"10.1002/jmri.70560","DOIUrl":"https://doi.org/10.1002/jmri.70560","url":null,"abstract":"<p><strong>Background: </strong>Conventional diffusion MRI inadequately characterizes heterogeneous microstructural changes in metabolic dysfunction-associated steatotic liver disease (MASLD). The optimal restricted spectrum imaging (RSI) model and value for high-risk metabolic dysfunction-associated steatohepatitis (MASH) remain unclear.</p><p><strong>Purpose: </strong>To optimize RSI modeling and evaluate its performance for high-risk MASH.</p><p><strong>Study type: </strong>Prospective cross-sectional study.</p><p><strong>Population: </strong>96 biopsy-proven MASLD participants (median age, 46 years [IQR: 36-58]; 51 women [53.1%]), including 64 with high-risk MASH.</p><p><strong>Field strength/sequence: </strong>3T; fat-suppressed single-shot echo-planar imaging with multi-b-value diffusion-weighted imaging, EPI-based MR elastography, and 3D chemical shift-encoded proton density fat-fraction imaging.</p><p><strong>Assessment: </strong>Two- to five-compartment RSI models were compared using Bayesian information criterion (BIC). RSI fractions, apparent diffusion coefficient, FIB-4, and MRI-based MASH score (MAST) were evaluated against histopathologic features and high-risk MASH.</p><p><strong>Statistical tests: </strong>Spearman correlation, Mann-Whitney U test, logistic regression, receiver operating characteristic analysis, DeLong test, bootstrap internal validation, decision curve analysis (thresholds, 0.20-0.60), and intraclass correlation coefficient (ICC). p < 0.05 was significant.</p><p><strong>Results: </strong>The five-compartment model showed the lowest BIC (1472.30; ΔBIC = 0). RSI measurements showed excellent inter-observer agreement (ICC, 0.955-0.994). RSI-C1 (r = 0.357) and RSI-C2 (r = 0.283) significantly correlated with steatosis; RSI-C2 (r = 0.273) and RSI-C5 (r = 0.282) with inflammation; and RSI-C2 (r = 0.326), RSI-C4 (r = 0.400), and RSI-C5 (r = 0.386) with fibrosis (all p < 0.05). The RSI-C2 + C4 + C5 model yielded an AUC of 0.800 for high-risk MASH, without significant difference versus FIB-4 (AUC = 0.707; p = 0.219) or MAST (AUC = 0.899; p = 0.146). Across thresholds of 0.20-0.60, RSI mean net benefit (0.504) exceeded FIB-4 (0.438) but not MAST (0.559).</p><p><strong>Data conclusion: </strong>RSI provides compartment-specific microstructural biomarkers associated with MASLD histology and may complement noninvasive tools for high-risk MASH assessment.</p><p><strong>Evidence level: </strong>2.</p><p><strong>Technical efficacy: </strong>Stage 2.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2026-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149081052","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 \"Pharmacokinetics and Pharmacodynamics of a Single Oral Dose of Ascelia-Manganese-Based MRI Contrast Agent (ACE-MBCA) in Adult Subjects With and Without Hepatic Impairment\".","authors":"Numan C Balci","doi":"10.1002/jmri.70555","DOIUrl":"https://doi.org/10.1002/jmri.70555","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149074954","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 \"Preoperative Prediction of Ductal Carcinoma In Situ Upstaging Using Machine Learning-Based Peritumoral Breast MRI Radiomics\".","authors":"Simone Schiaffino, Andrea Cozzi","doi":"10.1002/jmri.70569","DOIUrl":"https://doi.org/10.1002/jmri.70569","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2026-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149075016","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}