Journal of Magnetic Resonance Imaging最新文献

{"title":"Editorial for \"Improved and Automated Detection of Papillary Muscle Infarction Using Joint Bright- and Black-Blood Late Gadolinium Enhancement MRI\".","authors":"Robert J Holtackers, Akos Varga-Szemes, Martijn W Smulders","doi":"10.1002/jmri.29794","DOIUrl":"https://doi.org/10.1002/jmri.29794","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144011188","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 \"Quantification of the Proton Density Fat Fraction and Iron Content: A Comparative Study Between 3.0 and 5.0 T MRI\".","authors":"Teresa Lemainque, Alexandra Barabasch","doi":"10.1002/jmri.29752","DOIUrl":"https://doi.org/10.1002/jmri.29752","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144022174","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 \"Feasibility of MRI-Guided Transperineal Implantation of Microdevices for Drug Delivery and Response Assessment in Prostate Cancer\".","authors":"Liang Wang, Qiubai Li","doi":"10.1002/jmri.29791","DOIUrl":"https://doi.org/10.1002/jmri.29791","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144004249","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":"Feasibility of MRI-Guided Transperineal Implantation of Microdevices for Drug Delivery and Response Assessment in Prostate Cancer.","authors":"Quinn Rainer, Kemal Tuncali, Wooseok Ahn, Fanni Viktoria Santa, Michelle Hirsch, Sharath Bhagavatula, Fumitaro Masaki, Clarissa Therese Young, Courtney Marlin, Samantha Martin, Destiny U Matthew, Filipe De Carvalho, Christine A Dominas, Benjamin V Stone, Clare Tempany, Oliver Jonas, Adam Stuart Kibel, Nobuhiko Hata","doi":"10.1002/jmri.29784","DOIUrl":"https://doi.org/10.1002/jmri.29784","url":null,"abstract":"<p><strong>Background: </strong>Prostate cancer (PCa) treatment often involves systemic therapies with varying mechanisms of action, affecting individuals differently. Implantable microdevices (IMDs) are designed to test multiple drugs within a patient's tumor, but the feasibility of MRI-guided placement in PCa has not been evaluated.</p><p><strong>Purpose: </strong>To provide proof of concept for placing IMDs into lesions with MRI guidance to predict patient-specific responses to therapies.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Population: </strong>Fifteen participants undergoing prostatectomy for PCa.</p><p><strong>Field strength/sequence: </strong>3T MRI With T2-weighted (T2W).</p><p><strong>Assessment: </strong>In-bore MRI-targeted placement of IMDs was performed. Intra-procedural MRI scans were reviewed by a radiologist, using needle artifacts on T2W images to guide IMD placement. A genitourinary pathologist performed Gleason scoring around the IMDs. Drug response analysis included Enzalutamide + Nivolumab, Enzalutamide + Docetaxel, and single-agent Enzalutamide.</p><p><strong>Statistical tests: </strong>Mann-Whitney U test for continuous variables, p < 0.05 for significance.</p><p><strong>Results: </strong>Of 53 IMDs implanted into suspicious lesions in 14 participants, 48 (90%) were successfully placed within the lesions. The average distance from the needle tip to the tumor was 8.32 ± 4.02 mm. Larger lesion size (p = 0.009) and lower prostate imaging-reporting and data system score (p = 0.031) were significantly associated with successful IMD placement. Of the 53 IMDs, 49 (92.4%) were retrieved for histopathology and drug response analysis. In four participants, Gleason scores around the device were lower than preplacement biopsy in two and equal in two. Additionally, drug analysis in one patient demonstrated the feasibility of drug response analysis, revealing differences in apoptotic index, lymphocyte infiltration, dysplastic cell composition, and cellular profiles for each treatment. No complications or adverse events occurred.</p><p><strong>Conclusion: </strong>IMDs can be effectively and safely placed in prostate lesions using MRI guidance, with feasible histological and drug response analyses.</p><p><strong>Evidence level: </strong>2. Technical Efficacy: Stage 1.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143996284","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":"Functional Pulmonary Imaging.","authors":"Agilo L Kern, Filip Klimeš, Andreas Voskrebenzev, Hoen-Oh Shin, Jens Vogel-Claussen","doi":"10.1002/jmri.29778","DOIUrl":"https://doi.org/10.1002/jmri.29778","url":null,"abstract":"<p><p>The aging of the world population gave rise to an increased prevalence of many lung diseases, with chronic obstructive pulmonary disease now ranking as the third-leading cause of death according to the World Health Organization. To diagnose lung disease, a thorough assessment of lung function is essential since it may reveal unique signatures in terms of disease pathophysiology. Yet, clinically established lung function tests are global measurements, which may compromise their sensitivity to early, regional changes in lung function compared to spatially resolved imaging tests. From a scientific perspective, the lung is a highly complex organ, and newly developed functional imaging methods may elucidate previously unknown aspects of its physiology. Functional pulmonary imaging is and will thus be of great value for both clinical and research applications. The goal of this review is to shed light on the field of functional pulmonary imaging in all its varieties, with a particular focus on the numerous tools MRI has to offer. This includes ¹H MRI methods with or without exogenous contrast agents like oxygen- or gadolinium-based contrast agents and MRI of hyperpolarized and inert gases like ¹²⁹Xe or perfluoropropane. However, thinking outside the box, a glance is also taken at what other modalities like single-photon emission computed tomography, computed tomography, or X-ray dark-field imaging have to offer. Following a physiological perspective, methods are described in terms of their ability to assess the key parameters of lung physiology in humans-ventilation, perfusion, and alveolar membrane function, as well as microstructure-and promising clinical and research applications are discussed. An outlook into possible future paths the field might take is given. Evidence Level: 5. Technical Efficacy: 2.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144024375","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":"Correlation of White Matter Microstructure MRI and Inflammatory Cytokine Alterations With Symptom Severity in Premenstrual Syndrome","authors":"Gaoxiong Duan MS,&nbsp;Haixia Qin MS,&nbsp;YinQi Lai MS,&nbsp;Qingping Zhang MS,&nbsp;Ziyan Lai MS,&nbsp;Ya Chen MS,&nbsp;Yuejuan Wu MD,&nbsp;Zhen Liu MD,&nbsp;Kaixuan Zhou MS,&nbsp;Yan Zhang BS,&nbsp;Shanshan Li BS,&nbsp;Shihuan Lin BS,&nbsp;Ruijing Sun BS,&nbsp;Yuanyuan Ou BS,&nbsp;Xiaoli Liang BS,&nbsp;Lingyan Liang MS,&nbsp;Zhizhong Chen MD,&nbsp;Demao Deng MD","doi":"10.1002/jmri.29789","DOIUrl":"https://doi.org/10.1002/jmri.29789","url":null,"abstract":"<p>Representative Images Comparing DTI Metrics between Participants with PMS and Healthy Controls by TBSS Analysis. Areas in Blue and Red Respectively Represent Brain Regions with Significant Decrease in Fractional Anisotropy (FA) and Increase in Mean Diffusivity (MD), Axial Diffusivity (AD) and Radial Diffusivity (RD) in PMS Group Relative to HCS (TFCE, FWE-Corrected). Results are Shown Overlaid on Montreal Neurological Institute 152-T1 Template (Gray) and Mean FA Skeleton (Green). By Duan et Al. (2271-2280)\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure>\u0000 </p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":"61 5","pages":"spcone"},"PeriodicalIF":3.3,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jmri.29789","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143818381","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":"MR Fingerprinting Predicts Gait Improvement After Lumbar Cerebrospinal Fluid Drainage for Normal Pressure Hydrocephalus.","authors":"R Sky Jones, Jacqueline Chen, Doksu Moon, Mathias Nittka, Tiffany Ejikeme, Dan Ma, Mark Griswold, Sean Nagel, Stephen E Jones","doi":"10.1002/jmri.29788","DOIUrl":"https://doi.org/10.1002/jmri.29788","url":null,"abstract":"<p><strong>Background: </strong>Normal pressure hydrocephalus (NPH) results in gait disturbance, but clinical response to extended lumbar drainage (ELD) of cerebrospinal fluid varies. Noninvasive predictors of response are needed.</p><p><strong>Purpose: </strong>To determine whether MR fingerprinting (MRF) findings have potential as a quantifiable biomarker for predicting clinical response to ELD in patients with NPH.</p><p><strong>Study type: </strong>Prospective cohort.</p><p><strong>Population: </strong>Twenty individuals with NPH (mean age 77.7 years; 11 male sex).</p><p><strong>Field strength/sequence: </strong>3T; 2D T₁,T₁/T₂ MRF, 3D T₁.</p><p><strong>Assessment: </strong>Patients with NPH referred for ELD between August 2020 and February 2023 were recruited and underwent brain MRI and 10 m walking test before and after ELD. Clinical response was defined as improvement in the walking test plus a positive neurosurgical assessment. Quantitative T₁ and T₂ values were obtained using MRF. Whole-brain T₁ and T₂ times were obtained for cerebral white matter (WM) and gray matter (GM). Brain volumetry was derived using a 3DT₁-weighted sequence.</p><p><strong>Statistical tests: </strong>Linear discriminants to predict responder status were derived from logistic regression against T₁ and T₂ times; supplementary discriminants from visual inspection (manual delineation) were created as well. Fisher's exact test was applied to resulting contingency tables with significance at p < 0.05. Receiver operating characteristic curves were generated to assess predictors.</p><p><strong>Results: </strong>There were 11 responders and 9 nonresponders. Pretreatment MRF demonstrated an ability to distinguish responders from nonresponders (areas under the curve: WM T₁, 0.83 ± 0.21; GM T₁, 0.76 ± 0.23; WM T₂, 0.81 ± 0.22; GM T₂, 0.81 ± 0.22). Via logistic regression, GM measures significantly predicted responder status (OR = 14.0 [1.54, 130]) but WM measures did not (p = 0.37). Visual inspection yielded significance for GM (OR incalculable due to zero-valued contingency cell) and WM (OR = 18.7 [1.56, 222]).</p><p><strong>Data conclusion: </strong>Elevated whole-brain T₁ and T₂ relaxation times may serve as a noninvasive predictive biomarker of response to ELD in patients with NPH.</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":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143974977","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":"Quantification of the Proton Density Fat Fraction and Iron Content: A Comparative Study Between 3.0 T and 5.0 T MRI.","authors":"Yali Li, Dan Jin, Suwei Liu, Chenyu Jiang, Ming Ni, Limin Feng, Yan Zhang, Yuxin Yang, Guangjin Zhou, Jiajia Xu, Shipei He, Liqiang Zhou, Huishu Yuan","doi":"10.1002/jmri.29743","DOIUrl":"https://doi.org/10.1002/jmri.29743","url":null,"abstract":"<p><strong>Background: </strong>Proton density fat fraction (PDFF) and R2* are noninvasive MRI biomarkers for quantifying fat and iron in abdominal organs. While 3.0 T MRI is widely used clinically, 5.0 T may offer improved accuracy and reliability. With the increasing availability of 5.0 T, assessing its feasibility and utility for quantifying PDFF and R2* in abdominal organs is needed.</p><p><strong>Purpose: </strong>To determine the agreement of the PDFF and R2* in the liver, pancreas, kidney, and paraspinal muscle at 2 different field strengths.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Population: </strong>A total of 127 participants, including 60 healthy volunteers and 67 with metabolic dysfunction-associated steatotic liver disease (100 women and 27 men, 52 ± 9 years old).</p><p><strong>Field strength/sequence: </strong>3.0 T and 5.0 T; Chemical shift-encoded multi-echo gradient echo sequence.</p><p><strong>Assessment: </strong>PDFF and R2* values in the liver, pancreas, kidney, and paraspinal muscle were measured by three observers to evaluate the interobserver and interfield agreement using two 3.0 T scanners (scanner 1 and scanner 2) and one 5.0 T scanner.</p><p><strong>Statistical tests: </strong>Linear regression, Bland-Altman analyses, and intraclass correlation coefficients (ICCs). The p-value < 0.05 indicated statistically significant.</p><p><strong>Results: </strong>PDFF and R2* at 5.0 T were strongly correlated with those at two 3.0 T scanners for all organs (R² = 0.905-0.998 for PDFF; 0.831-0.991 for R2*), indicating high interfield ICCs (0.892-0.993 for PDFF; 0.910-0.981 for R2*). Comparisons between 5.0 T and two 3.0 T scanners showed good interfield agreement for PDFF (mean bias, -0.57% to 0.03%) while a higher bias for R2* (mean bias, -16.53 to -2.64 s^-1, 95% LoA, -34.28 to 1.21 s^-1) at 5.0 T compared to the comparison between 3T scanners.</p><p><strong>Data conclusion: </strong>5.0 T revealed high interfield agreement between the PDFF and R2* with 3.0 T, which could provide reliable quantification of fat and iron contents in abdominal organs.</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":3.3,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144004788","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 \"Functional MRI and Tumor Vasculature Correlation in Ewing Sarcoma Xenografts: A Prospective Study Based on MRI-Pathology Co-Alignment\".","authors":"Zubkov Mikhail","doi":"10.1002/jmri.29793","DOIUrl":"https://doi.org/10.1002/jmri.29793","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143971633","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":"Altered Brain Functional Networks in Patients With Breast Cancer After Different Cycles of Neoadjuvant Chemotherapy.","authors":"Jing Yang, Yongchun Deng, Daihong Liu, Yixin Hu, Yu Tang, Xiaoyu Zhou, Yong Tan, Jing Zhang, Jiang Liu, Chengfang Wang, Xiaohua Zeng, Jiuquan Zhang","doi":"10.1002/jmri.29772","DOIUrl":"https://doi.org/10.1002/jmri.29772","url":null,"abstract":"<p><strong>Background: </strong>Cancer-related cognitive impairment (CRCI) impacts breast cancer (BC) patients' quality of life after chemotherapy. While recent studies have explored its neural correlates, single time-point designs cannot capture how these changes evolve over time.</p><p><strong>Purpose: </strong>To investigate changes in the brain connectome of BC patients at several time points during neoadjuvant chemotherapy (NAC).</p><p><strong>Study type: </strong>Longitudinal.</p><p><strong>Subjects: </strong>55 participants with BC underwent clinical assessments and fMRI at baseline (TP1), the first cycle of NAC (TP2, 30 days later), and the end (TP3, 140 days later). Two matched female healthy control (HCs, n = 20 and n = 18) groups received the same assessments. FIELD STRENGTH/SEQUENCE: rs-fMRI (gradient-echo EPI) and 3D T1-weighted magnetization-prepared rapid gradient echo sequence at 3.0 T.</p><p><strong>Assessment: </strong>Brain functional networks were analyzed using graph theory approaches. We analyzed changes in brain connectome metrics and explored the relationship between these changes and clinical scales (including emotion and cognitive test). Patients were divided into subgroups according to clinical classification, chemotherapy regimen, and menopausal status. Longitudinal analysis was performed at three time points for each subgroup.</p><p><strong>Statistical tests: </strong>An independent sample t-test for patient-HC comparison at TP1. Analysis of variance and paired t-test for longitudinal changes. Regression analysis for relations between network measurements changes and clinical symptom scores changes. Significance was defined as p < 0.05.</p><p><strong>Results: </strong>Post-NAC, BC patients showed increased global efficiency (TP2-TP1 = 0.087, TP3-TP1 = 0.078), decreased characteristic path length (TP2-TP1 = -0.413, TP3-TP1 = -0.312), and altered nodal centralities mainly in the frontal-limbic system and cerebellar cortex. These abnormalities expanded with chemotherapy progression significantly (TP2 vs. TP3). Topological parameters changes were also correlated with clinical scales changes significantly. No differences were found within or between HC groups (p = 0.490-0.989) or BC subgroups (p = 0.053-0.988) at TP1.</p><p><strong>Data conclusions: </strong>NAC affects the brain functional connectome of BC patients at TP2, and these changes persist and further intensify at TP3.</p><p><strong>Level of evidence: 2: </strong></p><p><strong>Technical efficacy: </strong>Stage 5.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143811486","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}