Journal of Magnetic Resonance Imaging最新文献

{"title":"Improved and Automated Detection of Papillary Muscle Infarction Using Joint Bright- and Black-Blood Late Gadolinium Enhancement MRI.","authors":"Théo Richard, Victor de Villedon de Naide, Victor Nogues, Thaïs Génisson, Kalvin Narceau, Kun He, Rabea Klaar, Baptiste Durand, Thibault Boullé, Guillaume Poirot, Soumaya Sridi, Jean-David Maes, Marion Constantin, Kinan Kneizeh, Konstantinos Vlachos, Guido Caluori, Pierre Jaïs, Matthias Stuber, Hubert Cochet, Aurelien Bustin","doi":"10.1002/jmri.29777","DOIUrl":"10.1002/jmri.29777","url":null,"abstract":"<p><strong>Background: </strong>Papillary muscle infarction (PMI) has been linked to significantly increased mortality and is associated with ventricular arrhythmias and mitral regurgitation. Reference bright-blood late gadolinium enhancement (LGE) imaging provides poor scar-to-blood contrast, making PMI visualization challenging. Black-blood LGE imaging overcomes this limitation by improving the blood-scar contrast.</p><p><strong>Purpose: </strong>To evaluate a recent co-registered bright- (papillary muscle localization) and black-blood (PMI visualization) sequence (Scar-specific imaging with Preserved myOcardial visualizaTion: SPOT) to improve PMI visualization compared to a reference standard phase-sensitive inversion recovery (PSIR) sequence, and to enable automated PMI detection (auto-PMI).</p><p><strong>Study type: </strong>Retrospective.</p><p><strong>Population: </strong>198 patients with ischemic heart disease were divided into an optimization dataset (N = 127) and a testing dataset (N = 71).</p><p><strong>Field strength/sequence: </strong>2D SPOT and PSIR balanced steady-state free precession sequences at 1.5 T.</p><p><strong>Assessment: </strong>Auto-PMI included: image acquisition, slice selection, endocardial segmentation, blood pool preprocessing, and PMI detection. Three radiologists (8, 5 and 2 years of MRI experience) assessed PMI in SPOT and PSIR images independently. A consensus reading regarding all assessments of both sequences was established. The number of patients with PMI in SPOT and PSIR acquisitions was compared. The diagnostic performances of visual (SPOT and PSIR) and auto-PMI (SPOT) detection were evaluated. Inter- and intra-observer reproducibility of the visual PMI detection was assessed.</p><p><strong>Statistical tests: </strong>McNemar test, p-value < 0.05 was considered statistically significant.</p><p><strong>Results: </strong>In the testing dataset, significantly more patients with PMI were detected using SPOT compared to PSIR in each session (37 vs. 27, 36 vs. 29, 41 vs. 31, 42 vs. 25). Sensitivity ranges for visual PMI detection were significantly higher using SPOT (89%-100% vs. 61%-82%). SPOT vs. PSIR inter- and intra-observer reproducibility ranges were 77%-80% vs. 71%-77%, and 97% vs. 88%, respectively. Auto-PMI sensitivity was 87%.</p><p><strong>Data conclusion: </strong>Co-registered bright- and black-blood SPOT imaging improved visual PMI detection and facilitated automated PMI assessment.</p><p><strong>Evidence level: </strong>3. Technical Efficacy: Stage 2.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"827-839"},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12335337/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143811490","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":"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":"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":"673-690"},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12335344/pdf/","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":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MRI Assessment of Lung Water Density in Individuals Previously Infected With COVID-19: A Cross-Sectional Study.","authors":"Christopher Keen, Justin Grenier, Peter Šereš, Robert Stobbe, James White, Christian Beaulieu, Rachel Sherrington, Amy Kirkham, D Ian Paterson, Richard Thompson","doi":"10.1002/jmri.29814","DOIUrl":"10.1002/jmri.29814","url":null,"abstract":"<p><strong>Background: </strong>Lung damage in post-acute COVID-19 is a common clinical finding. Lung water density (LWD) imaging using ultrashort echo time (UTE) MRI with proton-density weighting is sensitive to edema and fibrosis.</p><p><strong>Purpose: </strong>To characterize LWD in COVID-19 survivors, compared with a healthy cohort.</p><p><strong>Study type: </strong>Retrospective cohort.</p><p><strong>Populations: </strong>185 COVID-19 survivors (63 male; age [median (interquartile range, IQR)]: 51 (25-83) years; 160 (66-363) days from COVID-19 infection to MRI) and 109 healthy controls (64 male; age: 52 (27-76) years) with no history of COVID-19 infection.</p><p><strong>Field strength/sequence: </strong>2.89T; Yarnball UTE pulse sequence.</p><p><strong>Assessment: </strong>Free-breathing three-dimensional LWD images were acquired in both cohorts. Clinical demographics (age, sex, body mass index [BMI]), presence of comorbidities (hypertension, dyslipidemia, diabetes, obesity), COVID-19 hospitalization, pulmonary function, six-minute walking distance, and plasma biomarkers were recorded.</p><p><strong>Statistical tests: </strong>Student's t-tests or Mann-Whitney U tests were used to compare lung water metrics between cohorts. The effect of comorbidities was assessed using Kruskal-Wallis tests followed by pairwise Wilcoxon tests with Bonferroni correction. Categorical variables were compared using chi-squared tests. p < 0.05 was considered significant.</p><p><strong>Results: </strong>LWD (median (IQR)), was significantly greater in the post-COVID-19 cohort than in the healthy cohort, 31.3 (6.6)% versus 27.9 (6.5)% in men and 30.3 (7.4)% versus 27.5 (4.9)% in women. 37% of men and 24% of women in the post-COVID-19 cohort had LWD above the healthy cohort 95% confidence limit. Participants with elevated LWD had significantly higher BMI (kg/m²) (32 (5) versus 26 (4) in men, 33 (9) versus 26 (7) in women), incidence of comorbidities (78% vs. 50% in men, 72% vs. 38% in women), rates of COVID-19 hospitalization (52% vs. 23% in men, 38% vs. 18% in women), and elevated CRP (mg/L) (2.2 (3.4) vs. 1.1 (1.4) in men, 1.8 (4.2) vs. 1.2 (2.1) in women).</p><p><strong>Data conclusion: </strong>MRI-derived LWD is elevated in COVID-19 survivors and is related to high BMI, COVID-19 hospitalization, inflammatory plasma biomarkers, and the presence of comorbidities.</p><p><strong>Evidence level: </strong>2.</p><p><strong>Technical efficacy: </strong>Stage 3.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"767-778"},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12335338/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143971573","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":"Technologies and Strategies for Metabolic and Molecular Imaging With Hyperpolarized MRI.","authors":"Alixander S Khan, Christoffer Laustsen","doi":"10.1002/jmri.70084","DOIUrl":"https://doi.org/10.1002/jmri.70084","url":null,"abstract":"<p><p>Conventional Magnetic Resonance Imaging (MRI) offers limited sensitivity for direct metabolic and molecular imaging using non-proton nuclei due to low thermal nuclear spin polarization. Hyperpolarization (HP) technologies increase nuclear spin polarization by several orders of magnitude, overcoming this limitation to enable in vivo studies of biochemistry and physiology. A growing body of literature has shown the value in HP technologies offering metabolic and functional information useful for a variety of clinical applications. This review details the complete workflow of hyperpolarized MRI, from the methodologies used to produce hyperpolarized samples and the range of available probes to the specific imaging acquisition and data analysis strategies required to maximize the signal, and finally, its major clinical applications. EVIDENCE LEVEL: 5. TECHNICAL EFFICACY: Stage 3.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144957233","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 \"Multi-Center, Multi-Vendor Validation of Simultaneous MRI-Based Proton Density Fat Fraction and R2* Mapping Using a Combined Proton Density Fat Fraction-R2* Phantom\".","authors":"Kathryn E Keenan","doi":"10.1002/jmri.29782","DOIUrl":"10.1002/jmri.29782","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"812-813"},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144040173","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 \"High-Fidelity MRI Assessment of Cerebral Perfusion in Healthy Neonates Less Than 1 Week of Age\".","authors":"Masaaki Hori, Kei Nakahara, Masahiro Kobayashi","doi":"10.1002/jmri.29745","DOIUrl":"10.1002/jmri.29745","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"749-750"},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143425471","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":"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":"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 T ₁ and T ₂ values were obtained using MRF. Whole-brain T ₁ and T ₂ 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 T ₁ and T ₂ 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 T ₁, 0.83 ± 0.21; GM T ₁, 0.76 ± 0.23; WM T ₂, 0.81 ± 0.22; GM T ₂, 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 T ₁ and T ₂ 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":"880-889"},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","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":"Editorial for \"Stroke Mechanism Subtypes and Prognosis in Patients With Symptomatic Intracranial Atherosclerosis Based on Multiparametric MRI\".","authors":"Shuang Xia, Huiying Wang","doi":"10.1002/jmri.29831","DOIUrl":"10.1002/jmri.29831","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"928-929"},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144159667","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":"Stroke Mechanism Subtypes and Prognosis in Patients With Symptomatic Intracranial Atherosclerosis Based on Multiparametric MRI.","authors":"Wenqiao Zheng, Hua Wei, Fan Bai, Yichun Qu, Zhichang Fan, Yan Li, Bin Wang, Yongfang Wang, Le Wang, Xiaochun Wang","doi":"10.1002/jmri.29813","DOIUrl":"10.1002/jmri.29813","url":null,"abstract":"<p><strong>Background: </strong>Different stroke mechanisms present with distinct imaging characteristics and prognosis. Multiparametric MRI can characterize these variations and may contribute to stroke secondary prevention.</p><p><strong>Purpose: </strong>To investigate the stroke mechanism subtypes and prognosis in patients with symptomatic intracranial atherosclerosis using multiparametric MRI.</p><p><strong>Study type: </strong>Retrospective.</p><p><strong>Population: </strong>Two hundred and seventeen ischemic stroke patients (147 males; age 55.5 ± 11.7 years) with intracranial atherosclerosis.</p><p><strong>Field strength/sequence: </strong>3-T, dynamic susceptibility contrast perfusion-weighted imaging (DSC-PWI); High-resolution vessel wall imaging (HR-VWI): three-dimensional (3D) T1-weighted Sampling Perfection with Application optimized Contrast using different flip angle Evolution (SPACE) and contrast-enhanced T1-SPACE.</p><p><strong>Assessment: </strong>All patients underwent multiparametric MRI within 7 days of stroke symptom onset. The stroke mechanisms included branch occlusive disease (BOD), artery-to-artery embolism, hypoperfusion, and mixed mechanisms. The following imaging characteristics were assessed by three radiologists independently. HR-VWI plaque characteristics included plaque area, lipid area, lipid ratio, occlusive thrombus, degree of stenosis, plaque burden, enhancement ratio, remodeling index, and intraplaque hemorrhage (IPH). The mean transit time-Alberta Stroke Program Early Computed Tomography score (MTT-ASPECTS) based on DSC-PWI was used to evaluate perfusion impairment. During a median follow-up period of 15 months, the correlation between different stroke mechanisms and prognosis was analyzed.</p><p><strong>Statistical tests: </strong>Chi-squared or Fisher's exact, Kruskal-Wallis H-tests, multivariate logistic regression, and Kaplan-Meier curves. All p-values were corrected by Bonferroni correction, and p-values < 0.05 were considered statistically significant.</p><p><strong>Results: </strong>Mixed mechanism was the most common subtype (32.7%). Significant differences were observed in perfusion impairment, degree of stenosis, plaque burden, enhancement ratio, IPH, and remodeling among stroke mechanisms. Of these characteristics, MTT-ASPECTS (odds ratio [OR] 0.70, 95% CI 0.562-0.863) and IPH (OR 2.30, 95% CI 1.042-5.051) were significantly associated with non-BOD mechanisms. Hypoperfusion mechanism was associated with a higher risk of stroke recurrence during a median follow-up of 15 months (hazard ratio 3.97, 95% CI 1.43-11.03).</p><p><strong>Data conclusion: </strong>Multiparametric MRI may reveal differences in imaging characteristics among stroke mechanisms. Hypoperfusion may be associated with an increased risk of stroke recurrence.</p><p><strong>Evidence level: </strong>3. Technical Efficacy: Stage 3.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"917-927"},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144078528","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 \"Prostate Cancer Risk Stratification and Scan Tailoring Using Deep Learning on Abbreviated Prostate MRI\".","authors":"Felipe Sahb Furtado","doi":"10.1002/jmri.29806","DOIUrl":"10.1002/jmri.29806","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":"867-868"},"PeriodicalIF":3.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143985540","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}