Journal of Magnetic Resonance Imaging最新文献

{"title":"Subregional Radiomics Analysis on Multiparametric MRI for Evaluating Lymphovascular Invasion and Survival in Gastric Cancer: A Multicenter Study.","authors":"Ruirui Song, Qin Feng, Erli Pei, Ziang Li, Xinru Yuan, Yaoliang Huo, Jialiang Ren, Yanfen Cui, Wujie Chen, Bo He, Xiaotang Yang","doi":"10.1002/jmri.70236","DOIUrl":"10.1002/jmri.70236","url":null,"abstract":"<p><strong>Background: </strong>Accurate preoperative assessment of lymphovascular invasion (LVI) remains challenging due to the high heterogeneity of gastric cancer (GC).</p><p><strong>Purpose: </strong>To evaluate the feasibility of a subregion-based radiomics model using multiparametric MRI (mpMRI) for preoperative evaluation of LVI and to further assess its prognostic value.</p><p><strong>Study type: </strong>Retrospective.</p><p><strong>Subjects: </strong>A total of 878 GC patients from four centers: 313 training, 133 internal test, and 432 external validation cases.</p><p><strong>Field strength/sequence: </strong>1.5 T and 3 T/mpMRI including T2-weighted imaging (FSE/TSE), diffusion-weighted imaging (SS-EPI), and contrast-enhanced T1-weighted imaging (FFE/VIBE).</p><p><strong>Assessment: </strong>The fuzzy c-means clustering was applied to subregion generation after manual segmentation. The subregional radiomics model was established using LVI-related features from a four-step extracted pipeline, with logistic regression, random forest, and support vector machine algorithms. The corresponding intra-tumoral subregion (ITS) index for each patient was obtained from the optimal subregional model. Subsequently, a combined model incorporating the ITS index and independent clinical characteristics was developed. Performance was further validated in test and validation cohorts. Additionally, the prognostic utility for overall survival (OS) and disease-free survival (DFS) was assessed in the follow-up cohort.</p><p><strong>Statistical tests: </strong>Model area under the receiver operating characteristic curves (AUCs) was compared using net reclassification improvement (NRI) and integrated discrimination improvement (IDI). Kaplan-Meier survival analyses were conducted for prognostic evaluation. p < 0.05 was considered statistically significant.</p><p><strong>Results: </strong>Pathological LVI-positive was detected in 448 (51.0%) patients. The combined model demonstrated satisfactory discrimination of LVI, achieving AUCs of 0.814 (training), 0.769 (test), and 0.758-0.783 (validation), outperforming the optimal subregional model with positive NRI and IDI across all cohorts. Furthermore, the ITS index maintained a significant association with OS (HR 33.50) and DFS (HR 30.00).</p><p><strong>Data conclusion: </strong>The combined model, which integrated the ITS index derived from subregional radiomics with clinical factors, demonstrated robust performance in evaluating both LVI and survival outcomes in GC patients.</p><p><strong>Evidence level: </strong>3.</p><p><strong>Technical efficacy: </strong>Stage 3.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"1466-1479"},"PeriodicalIF":3.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145948912","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":"Analysis of Pulsatile Vessel Expansion in Healthy, COPD- and PH-Patients Using Dynamic Vessel Segmentation in Free-Breathing Lung MRI.","authors":"Julian Glandorf, Marius M Klein, Filip Klimeš, Agilo Luitger Kern, Marcel Gutberlet, Jens M Hohlfeld, Marius M Hoeper, Karen M Olsson, Frank Wacker, Jens Vogel-Claussen, Andreas Voskrebenzev","doi":"10.1002/jmri.70249","DOIUrl":"10.1002/jmri.70249","url":null,"abstract":"<p><strong>Background: </strong>The pulsatile expansion of pulmonary vessels carries dynamic cardiopulmonary information that may reveal disease earlier than structural changes alone.</p><p><strong>Purpose: </strong>To test (i) intra- and inter-scan repeatability of dynamic vessel metrics in healthy subjects, and (ii) whether chronic obstructive pulmonary disease (COPD) and postcapillary pulmonary hypertension (PH) exhibit disease-specific differences.</p><p><strong>Study type: </strong>Retrospective, multi-cohort feasibility study with repeatability sub-study.</p><p><strong>Subjects: </strong>Healthy: 29 (11 female), COPD: 52 (15 female), PH: 25 (15 female) with isolated postcapillary PH.</p><p><strong>Fieldstrength/sequence: </strong>1.5T, free-breathing spoiled gradient-echo sequence, TE = 0.82 ms, TR = 3 ms, flip angle = 5°.</p><p><strong>Assessment: </strong>2D U-Nets segmented pulmonary vessels throughout each series of 250 images. Dynamic metrics included the coefficient of variation (CV) of vessel area and CV of vessel signal. Delay between vessel signal and vessel expansion as %-of-RR-interval (SE-delay) together with the heart rate and lung area were calculated.</p><p><strong>Statistical tests: </strong>Repeatability: Friedman; intraclass correlation coefficient (ICC); standard error of measurement (SEM) and the minimal detectable change (MDC). Group comparisons: Kruskal-Wallis and multiple linear regression. p < 0.05 was considered significant.</p><p><strong>Results: </strong>Only the heart rate and the SE-delay presented significant changes across repetitive scans. Differences in Bland-Altman plots were evenly distributed across the range of measurements and symmetrically scattered around zero within 95% confidence intervals (mean bias 0.08%-5.12%). Across cohorts, CV vessel area and CV lung area differed significantly, showing lowest variability in COPD (2.67%; 7.03%) and highest in PH (4.58%; 16.74%). SE-delay was significantly prolonged in COPD (81.98%) compared to PH (67.20%) and healthy participants (62.97%). Cohort status (Healthy/COPD/PH) remained the strongest significant predictor for all parameters after adjustment (F-values 4.62-34.04), while age and gender had no significant influence (p > 0.391; p > 0.069).</p><p><strong>Data conclusion: </strong>Free-breathing lung MRI with automated vessel segmentation reveals distinct hemodynamic characteristics in COPD and PH. This method shows potential as a sensitive non-invasive tool for detection, phenotyping, and treatment monitoring in pulmonary pathology.</p><p><strong>Evidence level: </strong>3.</p><p><strong>Technical efficacy: </strong>2.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"1420-1432"},"PeriodicalIF":3.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13066536/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146096850","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":"Non-Subtractive Arterial Spin Labeling-Based (NSASL) Renal Magnetic Resonance Angiography (MRA): Development and Clinical Feasibility Evaluation.","authors":"Yulin Wang, Ye Yuan, Kun Yan, Jichang Zhang, Jie Zeng, Shengyang Niu, Shiying Ke, Chendie Yao, Bin Chen, Qi Dai, Liping Guo, Jianjun Zheng, Thomas Meersmann, Chengbo Wang","doi":"10.1002/jmri.70220","DOIUrl":"10.1002/jmri.70220","url":null,"abstract":"<p><strong>Background: </strong>Non-contrast renal MR angiography (MRA) is valuable for patients who cannot receive contrast agents or when avoiding radiation is desired. However, the conventional inflow inversion recovery (IFIR) method is limited by incomplete background suppression, venous contamination, and motion sensitivity.</p><p><strong>Purpose: </strong>To develop and evaluate a non-subtractive arterial spin labeling-based (NSASL) sequence for renal MRA and compare it with IFIR in healthy volunteers, with exploratory feasibility assessment relative to contrast-enhanced (CE)-MRA or computed tomography angiography (CTA) in patients.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Subjects: </strong>Thirty healthy volunteers (10 male, 35.6  <math> <semantics><mrow><mo>±</mo></mrow> </semantics> </math>  14.0 years) and six participants with renal diseases or high blood pressure (2 male, 62.7  <math> <semantics><mrow><mo>±</mo></mrow> </semantics> </math>  9.03 years).</p><p><strong>Field strength/sequence: </strong>1.5 T; 3D stack-of-stars balanced steady-state free precession (bSSFP) NSASL MRA, 3D Cartesian bSSFP IFIR MRA, and CE-MRA.</p><p><strong>Assessment: </strong>Three radiologists independently rated image quality (main and branch renal arteries visualization, motion artifacts, vessel-to-background contrast, diagnostic confidence) on a 5-point scale. SNR efficiency (or SNR and time) and contrast ratio (CR) were also measured.</p><p><strong>Statistical tests: </strong>Intraclass coefficient (ICC), Shapiro-Wilk's test, paired Student's t-test, and Wilcoxon signed-rank test with Bonferroni correction, with p < 0.05 considered statistically significant.</p><p><strong>Results: </strong>ICC was good to excellent (ICC = 0.61-0.89) for average subjective scores. Compared with IFIR, NSASL showed significantly better vessel-to-background contrast (approximately fivefold increase in CR, Cohen's |d| = 2.54; +1 subjective score, |r| = 0.88), improved renal arteries visualization (+0.7 points, |r| = 0.67, corrected p   <math> <semantics><mrow><mo>≤</mo></mrow> </semantics> </math> 0.003), fewer motion artifacts (+0.6 points, |r| = 0.67, corrected p = 0.002), and higher diagnostic confidence (+0.6 points, |r| = 0.80, corrected p < 0.001). Acquisition time was reduced from 267.3 ± 69.0 s to 240.2 ± 51.3 s (Cohen's |d| = 0.54, corrected p = 0.018) while SNR efficiency was moderately lower (~26%, Cohen's |d| = 1.99, corrected p = 0.002). In participants with disease, NSASL yielded similar diagnostic confidence to CE-MRA (n = 4, +0.7 points, p = 0.194) and to CTA (n = 2, -0.2 points, p = 0.317).</p><p><strong>Data conclusion: </strong>NSASL significantly outperformed IFIR, with improved background suppression, vessel conspicuity, motion tolerance, and scan time in healthy volunteers.</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":"1435-1447"},"PeriodicalIF":3.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13066539/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145966175","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":"Quantitative Real-Time MRI for the Assessment of Gastric Motility.","authors":"Lydia Neubauer, Leonie Forstreuter, Fabian Winter, Fiona Mankertz, Mark O Wielpütz, Donata S Grajecki, Antje Steveling, Ali A Aghdassi, Sebastian Zeißig, Matthew D Blackledge, Dirk Voit, Jens Frahm, Susanne Schnell, Werner Weitschies, Linus Großmann","doi":"10.1002/jmri.70243","DOIUrl":"10.1002/jmri.70243","url":null,"abstract":"<p><strong>Background: </strong>Current reference standards for measuring gastric emptying and motility are not considered optimal due to the time required, ionizing radiation, invasiveness, and spatial resolution.</p><p><strong>Purpose: </strong>To assess gastric motility using novel real-time dynamic magnetic resonance imaging in combination with static measurements for gastric emptying and training of an automated deep-learning-based segmentation pipeline.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Participants: </strong>The study included 36 healthy volunteers (20 female, mean 24 ± 3 years) and three patients with diagnosed Crohn's disease.</p><p><strong>Field strength/sequences: </strong>Participants ingested water to assess fasting motility and pineapple juice for the postprandial state. 3 T, 3D spoiled gradient echo (GRE) sequence and real-time spoiled GRE.</p><p><strong>Assessment: </strong>Gastric emptying was measured by using the gastric volume, while motility was analyzed by tracking changes in the antrum's cross-sectional area and applying Fast Fourier Transformation. Segmentations were performed using a trained semantic segmentation model.</p><p><strong>Statistical tests: </strong>Linear Mixed Model with continuous dependent variables and fixed effects. Models included a random intercept for participants. Statistical significance was defined as p = 0.05.</p><p><strong>Results: </strong>The method enabled volumetric analysis of gastric content from 3D breath-hold static acquisition and time-resolved quantification of peristaltic parameters from real-time FLASH2 imaging at high temporal resolution (here 6.24 fps). Water emptied rapidly and exponentially (t_1/2 = 14.77 ± 10.55 min), while juice showed slower emptying (t_1/2 = 64.24 ± 11.87 min). Contraction frequencies (fasted: 2.76 ± 0.43 cpm, fed: 2.89 ± 0.43 cpm) and velocities (fasted: 1.67 ± 0.38 mm/s, fed: 1.72 ± 0.37 mm/s) were within physiological ranges, with fasting conditions characterized by stronger occlusion compared to the fed. Measurements taken from three patients proved that the workflow could be used in a clinical context.</p><p><strong>Data conclusion: </strong>Real-time MRI with AI-based analysis enabled quantitative assessment of gastric emptying and motility, revealing physiological peristaltic parameters and state-dependent differences in occlusion.</p><p><strong>Evidence level: </strong>2.</p><p><strong>Technical efficacy: </strong>Stage 1.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"1482-1495"},"PeriodicalIF":3.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13066535/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146125354","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 \"Analysis of Upper Airway Morphology Using Four-Dimensional Dynamic MRI With Active Deep Learning-Based Automatic Segmentation\".","authors":"Neil J Stewart, Jim M Wild","doi":"10.1002/jmri.70283","DOIUrl":"10.1002/jmri.70283","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"1418-1419"},"PeriodicalIF":3.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147317414","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 \"Quantitative Real-Time MRI for the Assessment of Gastric Motility\".","authors":"James T Grist","doi":"10.1002/jmri.70281","DOIUrl":"10.1002/jmri.70281","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"1496-1497"},"PeriodicalIF":3.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147355257","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 \"Diffusion-Based Virtual MR Elastography: Association With Pancreatic Fibrosis and Identification of Postoperative Pancreatic Fistula After Pancreaticoduodenectomy\".","authors":"Shintaro Ichikawa","doi":"10.1002/jmri.70225","DOIUrl":"10.1002/jmri.70225","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"1464-1465"},"PeriodicalIF":3.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145856443","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 \"Subregional Radiomics Analysis on Multiparametric MRI for Evaluating Lymphovascular Invasion and Survival in Gastric Cancer: A Multicenter Study\".","authors":"Shuaitong Zhang, Zhibo Liu, Xueqi Xie, Duanduan Chen","doi":"10.1002/jmri.70247","DOIUrl":"10.1002/jmri.70247","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"1480-1481"},"PeriodicalIF":3.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146119009","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":"Diffusion-Based Virtual MR Elastography: Association With Pancreatic Fibrosis and Identification of Postoperative Pancreatic Fistula After Pancreaticoduodenectomy.","authors":"Wei Cai, Yongjian Zhu, Dengfeng Li, Bingzhi Wang, Xiaohong Ma, Xinming Zhao","doi":"10.1002/jmri.70214","DOIUrl":"10.1002/jmri.70214","url":null,"abstract":"<p><strong>Background: </strong>Preoperative identification of clinically relevant postoperative pancreatic fistula (CR-POPF) after pancreaticoduodenectomy holds substantial clinical importance. The significance of virtual MR elastography (vMRE) in identifying CR-POPF risk remains unclear.</p><p><strong>Purpose: </strong>To explore the application of vMRE in assessing pancreatic fibrosis and preoperatively identifying CR-POPF with inter-device validation.</p><p><strong>Study type: </strong>Retrospective.</p><p><strong>Population: </strong>Three hundred twenty patients (212 male; mean age = 56.93 ± 9.34 years) receiving pancreatoduodenectomy were assessed and divided into two cohorts (cohort 1: 228; cohort 2: 92) based on two MRI scanners.</p><p><strong>Field strength/sequence: </strong>3 T, diffusion-weighted spin echo planar imaging and MRE using spin-echo echo planar imaging sequence.</p><p><strong>Assessment: </strong>Optimal combination of b values was identified for calculating shifted apparent diffusion coefficient (sADC). The diffusion-based tissue shear modulus (μ_diff) was constructed using optimal sADC. Association between μ_diff and pancreatic fibrosis grades was evaluated. CR-POPF was diagnosed postoperatively.</p><p><strong>Statistical tests: </strong>Spearman correlation analysis, linear regression analysis, univariate and multivariate logistic regression analysis, and receiver operating characteristic (ROC) analysis were used. Significance was set at p < 0.05.</p><p><strong>Results: </strong>Seventy-six patients developed (23.75%) CR-POPF. sADC generated from b values of 400 and 1500 s/mm² was identified for fitting μ_diff. μ_diff was significantly associated with histopathologic fibrosis grade (Spearman ρ = 0.763) and achieved performance for identifying CR-POPF with area under the curve (AUC) of 0.765. μ_diff, body mass index (BMI), and main pancreatic duct (MPD) were revealed as independent risk factors of CR-POPF. Their combination significantly improved the performance to AUC of 0.923 (AUC of μ_diff = 0.769; AUC of BMI = 0.673; AUC of MPD = 0.666). Results were confirmed in cohort 2.</p><p><strong>Data conclusion: </strong>Diffusion-based vMRE could effectively assess pancreatic fibrosis grade and provide a noninvasive biomarker for identifying CR-POPF preoperatively. The combination of μ_diff, BMI, and MPD demonstrated superior discriminative performance.</p><p><strong>Evidence level: </strong>3.</p><p><strong>Technical efficacy: </strong>Stage 2.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"1448-1463"},"PeriodicalIF":3.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145810316","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 \"Analysis of Pulsatile Vessel Expansion in Healthy, COPD- and PH-Patients Using Dynamic Vessel Segmentation in Free-Breathing Lung MRI\".","authors":"Z J T Peggs, S T Francis","doi":"10.1002/jmri.70259","DOIUrl":"10.1002/jmri.70259","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"1433-1434"},"PeriodicalIF":3.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146118817","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}