Journal of Magnetic Resonance Imaging最新文献

{"title":"Optimized Long-TE ¹H sLASER MR Spectroscopic Imaging at 3T for Separate Quantification of Glutamate and Glutamine in Glioma.","authors":"Seyma Alcicek, Michael W Ronellenfitsch, Joachim P Steinbach, Andrei Manzhurtsev, Dennis C Thomas, Katharina J Weber, Vincent Prinz, Marie-Thérèse Forster, Elke Hattingen, Ulrich Pilatus, Katharina J Wenger","doi":"10.1002/jmri.29787","DOIUrl":"https://doi.org/10.1002/jmri.29787","url":null,"abstract":"<p><strong>Background: </strong>Glutamate and glutamine are critical metabolites in gliomas, each serving distinct roles in tumor biology. Separate quantification of these metabolites using in vivo MR spectroscopy (MRS) at clinical field strengths (≤ 3T) is hindered by their molecular similarity, resulting in overlapping, hence indistinguishable, spectral peaks.</p><p><strong>Purpose: </strong>To develop an MRS imaging (MRSI) protocol to map glutamate and glutamine separately at 3T within clinically feasible time, using J-modulation to enhance spectral differentiation, demonstrate its reliability/reproducibility, and quantify the metabolites in glioma subregions.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Population: </strong>Phantoms, 5 healthy subjects, and 30 patients with suspected glioma. IDH wild-type glioblastoma cases were evaluated to establish a uniform group.</p><p><strong>Field strength/sequence: </strong>3T, Research protocol: 2D ¹H sLASER MRSI (40 and 120 ms TE) with water reference, 3D T1-weighted and 2D T2-weighted. Trial-screening process: T1-weighted, T1-weighted contrast-enhanced, T2-weighted, FLAIR.</p><p><strong>Assessment: </strong>Spectral simulations and phantom measurements were performed to design and validate the protocol. Spectral quality/fitting parameters for scan-rescan measurements were obtained using LCModel. The proposed long-TE data were compared with short-TE data. BraTS Toolkit was employed for fully automated tumor segmentation.</p><p><strong>Statistical tests: </strong>Scan-rescan comparison was performed using Bland-Altman analysis. LCModel coefficient of modeling covariance (CMC) between glutamate and glutamine was mapped to evaluate their model interactions for each spectral fitting. Metabolite levels in tumor subregions were compared using one-way ANOVA and Kruskal-Wallis. A p value < 0.05 was considered statistically significant.</p><p><strong>Results: </strong>Spectral quality/fitting parameters and metabolite levels were highly consistent between scan-rescan measurements. A negative association between glutamate and glutamine models at short TE (CMC = -0.16 ± 0.06) was eliminated at long TE (0.01 ± 0.05). Low glutamate in tumor subregions (non-enhancing-tumor-core: 5.35 ± 4.45 mM, surrounding-non-enhancing-FLAIR-hyperintensity: 7.39 ± 2.62 mM, and enhancing-tumor: 7.60 ± 4.16 mM) was found compared to contralateral (10.84 ± 2.94 mM), whereas glutamine was higher in surrounding-non-enhancing-FLAIR-hyperintensity (9.17 ± 6.84 mM) and enhancing-tumor (7.20 ± 4.42 mM), but not in non-enhancing-tumor-core (4.92 ± 3.38 mM, p = 0.18) compared to contralateral (2.94 ± 1.35 mM).</p><p><strong>Data conclusion: </strong>The proposed MRSI protocol (~12 min) enables separate mapping of glutamate and glutamine reliably along with other MRS-detectable standard metabolites in glioma subregions at 3T.</p><p><strong>Evidence level: </strong>1 TECHNICAL EFFICACY: Stage 3.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143803462","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":"Imaging-Based Molecular Characterization of Adult-Type Diffuse Glioma Using Diffusion and Perfusion MRI in Pre- and Post-Treatment Stage Considering Spatial and Temporal Heterogeneity.","authors":"Yun Hwa Roh, E-Nae Cheong, Ji Eun Park, Yangsean Choi, Seung Chai Jung, Sang Woo Song, Young-Hoon Kim, Chang-Ki Hong, Jeong Hoon Kim, Ho Sung Kim","doi":"10.1002/jmri.29781","DOIUrl":"https://doi.org/10.1002/jmri.29781","url":null,"abstract":"<p><strong>Background: </strong>Imaging-based molecular characterization is important for identifying treatment targets in adult-type diffuse gliomas.</p><p><strong>Purpose: </strong>To assess isocitrate dehydrogenase (IDH) mutation and epidermal growth factor receptor (EGFR) amplification status in primary and recurrent gliomas using diffusion and perfusion MRI, addressing spatial and temporal heterogeneity.</p><p><strong>Study type: </strong>Retrospective.</p><p><strong>Subjects: </strong>Three-hundred and twelve newly diagnosed (cross-sectional set, 57.9 ± 13.2 years, 52.2% male, 235 IDH-wildtype, 71 EGFR-amplified) and 38 recurrent (longitudinal set, 53.1 ± 13.4 years, 44.7% male, 30 IDH-wildtype, 13 EGFR-amplified) adult-type diffuse glioma patients.</p><p><strong>Field strength/sequence: </strong>3.0T; diffusion weighted and dynamic susceptibility contrast-perfusion weighted imaging.</p><p><strong>Assessment: </strong>Radiomics features from contrast-enhancing tumors (CET) and non-enhancing lesions (NEL) were extracted from apparent diffusion coefficient and perfusion maps. Spatial heterogeneity was assessed using intersection and Bhattacharyya distance between CET and NEL. Stable imaging features were identified in patients with unchanged genetic profiles in the longitudinal set. The \"best model,\" using features from the cross-sectional set (n = 312), and the \"concordant model,\" using stable features identified in the longitudinal set (n = 38), were constructed using the LASSO for IDH and EGFR status.</p><p><strong>Statistical tests: </strong>The area under the receiver-operating-characteristic curve (AUC).</p><p><strong>Results: </strong>For IDH mutations, both best and concordant models demonstrated high AUCs in the cross-sectional set (0.936; 95% confidence interval [CI]: 0.903-0.969 and 0.964 [0.943-0.986], respectively). Only the concordant model maintained strong performance in recurrent tumors (AUC, 0.919 vs. 0.656). For EGFR amplification in IDH-wildtype, the best and concordant models showed AUCs of 0.821 (95% CI: 0.761-0.881) and 0.746 (95% CI: 0.675-0.817) in newly diagnosed gliomas, but poor performance in recurrent tumors with AUCs of 0.503 (95% CI: 0.34-0.665) and 0.518 (95% CI: 0.357-0.678).</p><p><strong>Data conclusion: </strong>Diffusion and perfusion MRI characterized IDH status in both newly diagnosed and recurrent gliomas, but showed limited diagnostic performance for EGFR, especially for recurrent tumors.</p><p><strong>Evidence level: </strong>3 TECHNICAL EFFICACY: Stage 3.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143803456","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":"The Development and Challenges of PET/MRI Dual-Modality Imaging Probes-An Update.","authors":"Maryam Sabbaghan, Saumya Nigam, Isabella Kasabasic, Medha Manepalli, Ping Wang, Jinda Fan","doi":"10.1002/jmri.29779","DOIUrl":"https://doi.org/10.1002/jmri.29779","url":null,"abstract":"<p><p>The integration of Positron emission tomography (PET) with Magnetic resonance imaging (MRI) combines the functional imaging capabilities of PET with the high-resolution anatomical detail of MRI, creating a synergistic platform for advanced diagnostic imaging and image-guided therapies. Central to the success of this dual-modality system is the development of specialized PET/MRI dual-modality probes, particularly those capable of simultaneous functionality, which present significant technical challenges in synthesis and applications. This review explores the advancements in PET/MRI probe development, summarizes the current applications, and highlights the critical challenges in translating PET/MRI probes from experimental research to clinical applications, offering insights into the future direction of this transformative imaging technology. EVIDENCE LEVEL: 5. TECHNICAL EFFICACY: Stage 1.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143795418","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 Assessment of Ki-67 Labeling Index in Pituitary Adenomas Using Delta-Radiomics Based on Dynamic Contrast-Enhanced MRI\".","authors":"Daniel Lewis, Ka-Loh Li, Xiaoping Zhu","doi":"10.1002/jmri.29783","DOIUrl":"https://doi.org/10.1002/jmri.29783","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143780374","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 \"Evolving Myocardial Injury in Chronic Kidney Disease Assessed by Multiparameter Magnetic Resonance in a Rabbit Model\".","authors":"Hazel D Sara Rovno","doi":"10.1002/jmri.29780","DOIUrl":"https://doi.org/10.1002/jmri.29780","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143753000","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 on \"Quantitative Analysis of Orbital Soft Tissues Using Three-Dimensional Fast Spin Echo With 2-Point Dixon-Based Fat Suppression Sequence: Its Association With Methylprednisolone Pulse Therapy Treatment Efficacy in Thyroid-Associated Ophthalmopathy\".","authors":"Sophie C Queler, Ek T Tan","doi":"10.1002/jmri.29744","DOIUrl":"https://doi.org/10.1002/jmri.29744","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143753025","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":"Participant Discomfort During 5 T MRI Examinations and Its Contributing Factors.","authors":"Suwei Liu, Limin Feng, Yali Li, Ming Ni, Chenyu Jiang, Huishu Yuan","doi":"10.1002/jmri.29766","DOIUrl":"https://doi.org/10.1002/jmri.29766","url":null,"abstract":"<p><strong>Background: </strong>5 T magnetic resonance imaging (MRI)-induced patient discomfort and the associated contributing factors remain unclear.</p><p><strong>Purpose: </strong>To assess the frequency of discomfort during 5 T MRI examinations and analyze the contributing factors that may lead to discomfort, understand the potential challenges, and improve patient experience with 5 T systems.</p><p><strong>Study type: </strong>Prospective study.</p><p><strong>Population: </strong>A total of 539 participants, comprising patients and healthy volunteers.</p><p><strong>Field strength/sequence: </strong>5.0 T.</p><p><strong>Assessment: </strong>Each participant completed a post-MRI examination tolerance questionnaire evaluating discomfort and overall examination experience. Each type of discomfort was analyzed separately to determine its relationship with the contributing factors. Further analysis identified specific elements that had the most significant impact within each factor and examined interdependencies among discomfort types.</p><p><strong>Statistical tests: </strong>Chi-square and Mann-Whitney U tests were used to compare the presence of discomfort across contributing factors. One-way analysis of variance or Kruskal-Wallis tests assessed the relationship between discomfort and contributing factors. Spearman's rank correlation evaluated interdependencies among different types of discomfort.</p><p><strong>Results: </strong>The rank order of discomfort was noise (13%), examination area heat (8.2%), and vertigo while moving (6.1%), whereas 72.8% (381/523) of participants reported no discomfort during the examination. Regarding the overall examination experience, less than 1% of the participants reported an unpleasant experience (2/539), 3% a neutral experience (17/539), and over 96.5% a pleasant experience (520/539). Additionally, space constraints, noise, paresthesia, examination area heat, whole-body heat, and overall examination experience were significantly influenced by different variables. Moreover, varying degrees of correlation were observed among different discomfort types.</p><p><strong>Data conclusion: </strong>The 5 T MRI system is clinically safe, with minimal reported discomfort. Optimization strategies addressing contributing factors could enhance patient comfort and facilitate broader adoption of 5 T MRI technology.</p><p><strong>Evidence level: </strong>2 TECHNICAL EFFICACY: Stage 2.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143742993","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":"Quantitative Analysis of Orbital Soft Tissues Using Three-Dimensional Fast Spin Echo With 2-Point Dixon-Based Fat Suppression Sequence: Its Association With Methylprednisolone Pulse Therapy Treatment Efficacy in Thyroid-Associated Ophthalmopathy.","authors":"Yu Chen, Linhan Zhai, Weiqiang Liang, Yangyang Yin, Yali Zhao, Gang Yuan, Ban Luo, Haoyue Shao, Wang Baoyi, Qiuxia Wang, Jing Zhang","doi":"10.1002/jmri.29735","DOIUrl":"https://doi.org/10.1002/jmri.29735","url":null,"abstract":"<p><strong>Background: </strong>Three-dimensional fast spin echo with 2-point Dixon-based fat suppression (3D-FSE-Dixon) sequence may assess volume and water fraction (WF) of orbit.</p><p><strong>Purpose: </strong>To explore the association between 3D-FSE-Dixon based parameters and methylprednisolone pulse therapy (MPPT) efficacy in active moderate-to-severe thyroid-associated ophthalmopathy (TAO).</p><p><strong>Study type: </strong>Retrospective.</p><p><strong>Population: </strong>Fifty-nine TAO patients (29 females, 30 males, 49.1 ± 10.9 years) were included: 26 (15 females, 11 males, 48.4 ± 11.1 years) showed improvement and 33 (14 females, 19 males, 49.6 ± 10.9 years) did not.</p><p><strong>Field strength/sequence: </strong>3D-FSE-Dixon sequence of orbits at 3 T.</p><p><strong>Assessment: </strong>Manual segmentation delineated bony orbit (BO), whole orbit (WO), globe (GO), lacrimal gland (LG), and optic nerve (ON). Multi-dimensional threshold (MDT) identified orbital fat (OF). Extraocular muscles (ETM) were obtained by subtracting other tissues from WO. WF was calculated from water and in-phase images. Treatment efficacy, the clinical outcome, was assessed within 2 weeks after MPPT.</p><p><strong>Statistical tests: </strong>Unpaired t-test and Mann-Whitney U test compared normal and non-normal data, respectively. Paired t-test analyzed parameter changes pre- and post-MPPT. Multivariate logistic regression analysis identified factors independently associated with the efficacy of MPPT. Significance was set at P < 0.05.</p><p><strong>Results: </strong>Responsive group showed significantly higher pre-treatment WF (ETM, 0.86 ± 0.06 vs. 0.82 ± 0.07; OF, 0.21 ± 0.04 vs. 0.19 ± 0.02), with no difference in volume (OF: 21.34 ± 3.33 vs. 21.36 ± 3.46, P = 1.00; ETM: 13.48 ± 2.82 vs. 13.72 ± 3.45, P = 1.00) or volume ratio (OF/GO: 3.23 ± 0.50 vs. 3.26 ± 0.56, P = 1.00; ETM/GO: 2.06 ± 0.58 vs. 2.12 ± 0.64, P = 1.00). WF significantly decreased in responsive group (ETM, 0.86 ± 0.06 vs. 0.79 ± 0.05; OF, 0.21 ± 0.04 vs. 0.17 ± 0.03) but not decreased in unresponsive group (ETM, 0.81 ± 0.07 vs. 0.81 ± 0.07, P = 1.00; OF, 0.19 ± 0.02 vs. 0.190 ± 0.02, P = 1.00). ETM WF and disease duration can assess MPPT efficacy.</p><p><strong>Data conclusion: </strong>Higher ETM WF demonstrates better MPPT efficacy for TAO.</p><p><strong>Evidence level: </strong>4 TECHNICAL EFFICACY: Stage 4.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143742963","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 \"Participant Discomfort During 5T MRI Examinations and Its Contributing Factors\".","authors":"Hendrik Mattern","doi":"10.1002/jmri.29774","DOIUrl":"https://doi.org/10.1002/jmri.29774","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143742905","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":"Toward a Refined PI-RADS: The Feasibility and Limitations of More Informative Metrics in Reviewing MRI Scans.","authors":"Omer Tarik Esengur, Hunter Stecko, Emma Stevenson, Baris Turkbey","doi":"10.1002/jmri.29754","DOIUrl":"https://doi.org/10.1002/jmri.29754","url":null,"abstract":"<p><p>The Prostate Imaging-Reporting and Data System (PI-RADS) is a widely-adopted framework for assessing prostate cancer risk using multiparametric MRI. However, as advancements in imaging and data analytics emerge, PI-RADS faces pressure to integrate novel quantitative techniques, enhanced imaging protocols, and artificial intelligence (AI) solutions to improve diagnostic accuracy. This review examines the recent innovations in advanced imaging, clinical, and AI methods that can provide more informative MRI scans and discuss their potential incorporation into PI-RADS. Techniques like multi-shot echo-planar imaging and reduced field-of-view DWI show promise in improving scan quality, but may present challenges with respect to technical complexity, cost, and standardization. Others, like restriction spectrum imaging and luminal water imaging, offer new possibilities for lesion characterization, yet remain difficult to implement consistently across clinical settings. In addition, integrating clinical parameters and AI-driven tools within PI-RADS could enhance risk stratification, but may introduce greater complexity, potentially impacting ease-of-use. We discuss the implications of these advancements for PI-RADS, balancing the potential diagnostic benefits with the challenges of maintaining accessibility and reproducibility in clinical practice. This review provides a comprehensive overview of how emerging MRI techniques and AI may redefine prostate cancer imaging standards. Evidence Level: 5. Technical Efficacy: Stage 5.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143719839","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}