Journal of Magnetic Resonance Imaging最新文献

{"title":"Ventricular Discordance as an MRI Phenotype Provides Prognostic Value Among Arrhythmogenic Cardiomyopathy.","authors":"Jin-Yi Xiang, Yun Zhao, Wei-Hui Xie, Dong-Aolei An, Bing-Hua Chen, Rui Wu, Chong-Wen Wu, Ruo-Yang Shi, Yan Zhou, Lei Zhao, Min-Jie Lu, Lian-Ming Wu","doi":"10.1002/jmri.29699","DOIUrl":"https://doi.org/10.1002/jmri.29699","url":null,"abstract":"<p><strong>Background: </strong>In arrhythmogenic cardiomyopathy (ACM), left ventricle-dominant presentation has poorer outcomes than right-dominant presentation, suggesting that interventricular functional disparity might play a role in patients' prognosis. However, the prognostic impact of ventricular functional discordance in ACM patients remains unknown.</p><p><strong>Purpose: </strong>To assess whether ventricular functional disparity measured as ventricular discordance index, defined as the ratio of right-ventricular ejection fraction (RVEF) to left-ventricular ejection fraction (LVEF), might reveal prognostic disparities between phenotypes and offer added risk stratification value.</p><p><strong>Study type: </strong>Retrospective.</p><p><strong>Subjects: </strong>A total of 222 patients with ACM (mean age 44 ± 16 years, 144 males) from three centers were included.</p><p><strong>Field strength/sequence: </strong>3-T, cine imaging.</p><p><strong>Assessment: </strong>Ventricular discordance index was calculated using cine-derived RVEF and LVEF, for which a threshold was determined using Youden J index. Clinically ventricular discordance was defined as ventricular discordance index above the threshold. The major adverse cardiac events (MACE), was defined as sudden cardiac death, appropriate implantable cardioverter-defibrillator intervention, and aborted cardiac arrest. International task diagnostic force criteria and the 5-year risk score were evaluated.</p><p><strong>Statistical tests: </strong>The prognostic implications of ventricular discordance index and clinically ventricular discordance were evaluated using multivariable Cox analysis. P < 0.05 indicated the statistical significance.</p><p><strong>Results: </strong>During a median follow-up of 50 months, 81 (37%) patients experienced MACE. The ventricular discordance index was independently associated with MACE (hazard ratio [HR]: 1.49; 95% confidence interval [CI]: 1.23-1.82). Patients classified under clinically ventricular discordance experienced higher MACE rates and were less likely to meet the task force structural criteria. clinically ventricular discordance was independently associated with MACE (adjusted HR: 2.2; 95% CI: 1.36-3.55). Clinically ventricular discordance, LV involvement and the 5-year risk score in combined reclassified 20.3% of patients compared to 2015 task force classification.</p><p><strong>Data conclusion: </strong>Ventricular discordance was associated with MACE in ACM, potentially providing prognostic value beyond the 5-year risk score.</p><p><strong>Level of evidence: </strong>3 TECHNICAL EFFICACY: 5.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142909731","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 \"Simultaneous Bilateral T₁, T₂, and T_1ρ Relaxation Mapping of Hip Joint With 3D-MRI Fingerprinting\".","authors":"Cory R Wyatt","doi":"10.1002/jmri.29685","DOIUrl":"https://doi.org/10.1002/jmri.29685","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142907127","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":"T₂ Clusters Are More Sensitive Than Mean T₂ Change to Detect Early and Longitudinal Changes in Anterior Cruciate Ligament Reconstructed and Healthy Knees.","authors":"Anoosha Pai S, Anthony A Gatti, Marianne S Black, Katherine A Young, Arjun D Desai, Marco Barbieri, Jessica L Asay, Seth L Sherman, Garry E Gold, Feliks Kogan, Brian A Hargreaves, Akshay S Chaudhari","doi":"10.1002/jmri.29689","DOIUrl":"https://doi.org/10.1002/jmri.29689","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Post-traumatic osteoarthritis (PTOA) often follows anterior cruciate ligament reconstruction (ACLR), leading to early cartilage degradation. Change in mean T&lt;sub&gt;2&lt;/sub&gt; fails to capture subject-specific spatial-temporal variations, highlighting the need for robust quantitative methods for early PTOA detection and monitoring.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Purpose/hypothesis: &lt;/strong&gt;Develop and apply 3D T&lt;sub&gt;2&lt;/sub&gt; cluster analysis to ACLR and healthy knees over 2.5 years.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Study type: &lt;/strong&gt;Longitudinal case-control study.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Subjects: &lt;/strong&gt;ACLR and contralateral knees of 15 subjects (9 male/6 female, 37.7 ± 10 years) and right knee of 15 matched controls (9 male/6 female, 37.1 ± 12 years) were scanned at 3 weeks, 3, 9, 18, and 30 months post-ACLR.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Sequence: &lt;/strong&gt;3 T Quantitative double echo steady state sequence.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Assessment: &lt;/strong&gt;\"T&lt;sub&gt;2&lt;/sub&gt; cluster analysis\" was developed, incorporating registration and thresholding methods to identify and quantify elevated T&lt;sub&gt;2&lt;/sub&gt; regions (T&lt;sub&gt;2&lt;/sub&gt; clusters, T&lt;sub&gt;2&lt;/sub&gt;C) in femoral cartilage. Percentage of cartilage covered by T&lt;sub&gt;2&lt;/sub&gt; clusters (T&lt;sub&gt;2&lt;/sub&gt;C&lt;sub&gt;%&lt;/sub&gt;), mean cluster size (T&lt;sub&gt;2&lt;/sub&gt;C&lt;sub&gt;size&lt;/sub&gt;), the number of clusters (T&lt;sub&gt;2&lt;/sub&gt;C&lt;sub&gt;count&lt;/sub&gt;), and ΔT&lt;sub&gt;2&lt;/sub&gt;Mean (change in mean femoral cartilage T&lt;sub&gt;2&lt;/sub&gt; relative to visit 1) were computed for all knees.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Statistical tests: &lt;/strong&gt;A linear mixed model assessed knee, time, and knee-time interaction effects on each outcome metric (P &lt; 0.05), with effect sizes (η&lt;sub&gt;p&lt;/sub&gt; &lt;sup&gt;2&lt;/sup&gt;) describing the sensitivity of these effects to longitudinal changes.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;T&lt;sub&gt;2&lt;/sub&gt;C&lt;sub&gt;%&lt;/sub&gt; (η&lt;sub&gt;p&lt;/sub&gt; &lt;sup&gt;2&lt;/sup&gt; = 0.22), T&lt;sub&gt;2&lt;/sub&gt;C&lt;sub&gt;size&lt;/sub&gt;, (η&lt;sub&gt;p&lt;/sub&gt; &lt;sup&gt;2&lt;/sup&gt; = 0.14), and T&lt;sub&gt;2&lt;/sub&gt;C&lt;sub&gt;count&lt;/sub&gt; (η&lt;sub&gt;p&lt;/sub&gt; &lt;sup&gt;2&lt;/sup&gt; = 0.51) showed significant and systematic difference between knees (ACLR &gt; contralateral &gt; control). T&lt;sub&gt;2&lt;/sub&gt;C&lt;sub&gt;%&lt;/sub&gt; (η&lt;sub&gt;p&lt;/sub&gt; &lt;sup&gt;2&lt;/sup&gt; = 0.24), T&lt;sub&gt;2&lt;/sub&gt;C&lt;sub&gt;size&lt;/sub&gt; (η&lt;sub&gt;p&lt;/sub&gt; &lt;sup&gt;2&lt;/sup&gt; = 0.17), and T&lt;sub&gt;2&lt;/sub&gt;C&lt;sub&gt;count&lt;/sub&gt; (η&lt;sub&gt;p&lt;/sub&gt; &lt;sup&gt;2&lt;/sup&gt; = 0.11) showed significant longitudinal change across all knees. Specifically, ACLR knees exhibited a significant increase in T&lt;sub&gt;2&lt;/sub&gt;C&lt;sub&gt;%&lt;/sub&gt; (η&lt;sub&gt;p&lt;/sub&gt; &lt;sup&gt;2&lt;/sup&gt; = 0.21), T&lt;sub&gt;2&lt;/sub&gt;C&lt;sub&gt;size&lt;/sub&gt; (η&lt;sub&gt;p&lt;/sub&gt; &lt;sup&gt;2&lt;/sup&gt; = 0.13), and a decrease in T&lt;sub&gt;2&lt;/sub&gt;C&lt;sub&gt;count&lt;/sub&gt; (η&lt;sub&gt;p&lt;/sub&gt; &lt;sup&gt;2&lt;/sup&gt; = 0.07) with time. ΔT&lt;sub&gt;2&lt;/sub&gt;Mean showed significant difference between knees (η&lt;sub&gt;p&lt;/sub&gt; &lt;sup&gt;2&lt;/sup&gt; = 0.15), increase with time (η&lt;sub&gt;p&lt;/sub&gt; &lt;sup&gt;2&lt;/sup&gt; = 0.04), with no significant knee-time interaction (η&lt;sub&gt;p&lt;/sub&gt; &lt;sup&gt;2&lt;/sup&gt; = 0.00, P = 0.772 [contralateral], P = 0.482 [control]).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusion: &lt;/strong&gt;T&lt;sub&gt;2&lt;/sub&gt;C metrics are more sensitive than ΔT&lt;sub&gt;2&lt;/sub&gt;Mean for lo","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142909728","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 \"Imaging Assessment of the Pituitary Gland and Long-Term Endocrinological Abnormalities in Pediatric Brain Cancer Survivors\".","authors":"Bassem Hiba","doi":"10.1002/jmri.29688","DOIUrl":"https://doi.org/10.1002/jmri.29688","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142895294","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":"Clinical Utility of DTI-ALPS in Identifying Dysfunction in the \"Glymphatic\" System.","authors":"Nivedita Agarwal","doi":"10.1002/jmri.29694","DOIUrl":"https://doi.org/10.1002/jmri.29694","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142882392","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":"Simultaneous Bilateral T₁, T₂, and T_1ρ Relaxation Mapping of Hip Joint With 3D-MRI Fingerprinting.","authors":"Anmol Monga, Hector Lise de Moura, Marcelo V W Zibetti, Thomas Youm, Jonathan Samuels, Ravinder R Regatte","doi":"10.1002/jmri.29679","DOIUrl":"https://doi.org/10.1002/jmri.29679","url":null,"abstract":"<p><strong>Background: </strong>Three-dimensional MR fingerprinting (3D-MRF) has been increasingly used to assess cartilage degeneration, particularly in the knee joint, by looking into multiple relaxation parameters. A comparable 3D-MRF approach can be adapted to assess cartilage degeneration for the hip joint, with changes to accommodate specific challenges of hip joint imaging.</p><p><strong>Purpose: </strong>To demonstrate the feasibility and repeatability of 3D-MRF in the bilateral hip jointly we map proton density (PD), T₁, T₂, T_1ρ, and ∆B₁₊ in clinically feasible scan times.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Subjects: </strong>Eight healthy subjects, three patients with mild osteoarthritis (OA), and one of the OA patients had femoral acetabular impingement (FAI). A National Institute of Standards and Technology/International Society for Magnetic Resonance in Medicine (NIST/ISMRM) system phantom was also used.</p><p><strong>Field strength/sequence: </strong>3 T, 3D-MRF sequence for bilateral hip joint mapping. Reference sequences include Volume Interpolated Breath-hold Examination (VIBE) for T₁ mapping, and magnetization-prepared fast low-angle shot (TFL) for T₂ and T_1ρ mapping.</p><p><strong>Assessment: </strong>The signal-to-noise ratio (SNR), repeatability, scan time, and accuracy of T₁, T₂, and T_1ρ maps of 3D-MRF sequence were evaluated on a NIST/ISMRM phantom and human subjects. Differences in the parametric maps between OA and healthy subjects were assessed.</p><p><strong>Statistical tests: </strong>Regression, Bland-Altman, Kruskal-Wallis, and Wilcoxon tests were used to assess for accuracy, repeatability, and subregional variation. The P-value <0.05 indicated statistically significant.</p><p><strong>Results: </strong>A 3D-MRF sequence sensitive to PD, T₁, T₂, T_1ρ, and ∆B₁₊ within 15 minutes, achieving high SNR and low test-retest coefficient of variance (T₁: 3.36%, T₂: 3.99%, T_1ρ: 5.93%). Mild hip OA patients, including one with mild OA and FAI, showed elevation of 29.4 ± 9% (T₂) and 32.4 ± 4.4% (T_1ρ) in femoral lateral compartment of the hip joint compared to healthy controls.</p><p><strong>Data conclusion: </strong>3D-MRF may be a feasible approach for simultaneous, quantitative mapping of bilateral hip joint cartilage in healthy and mild OA patients.</p><p><strong>Evidence level: </strong>1 TECHNICAL EFFICACY: Stage 1.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142882398","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 \"Assessing the Performance of Artificial Intelligence Assistance for Prostate MRI: A Two-Center Study Involving Radiologists With Different Experience Levels\".","authors":"Stefan J Fransen","doi":"10.1002/jmri.29684","DOIUrl":"https://doi.org/10.1002/jmri.29684","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142854452","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":"Incorporating Radiologist Knowledge Into MRI Quality Metrics for Machine Learning Using Rank-Based Ratings.","authors":"Chenwei Tang, Laura B Eisenmenger, Leonardo Rivera-Rivera, Eugene Huo, Jacqueline C Junn, Anthony D Kuner, Thekla H Oechtering, Anthony Peret, Jitka Starekova, Kevin M Johnson","doi":"10.1002/jmri.29672","DOIUrl":"https://doi.org/10.1002/jmri.29672","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Deep learning (DL) often requires an image quality metric; however, widely used metrics are not designed for medical images.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Purpose: &lt;/strong&gt;To develop an image quality metric that is specific to MRI using radiologists image rankings and DL models.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Study type: &lt;/strong&gt;Retrospective.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Population: &lt;/strong&gt;A total of 19,344 rankings on 2916 unique image pairs from the NYU fastMRI Initiative neuro database was used for the neural network-based image quality metrics training with an 80%/20% training/validation split and fivefold cross-validation.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Field strength/sequence: &lt;/strong&gt;1.5 T and 3 T T1, T1 postcontrast, T2, and FLuid Attenuated Inversion Recovery (FLAIR).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Assessment: &lt;/strong&gt;Synthetically corrupted image pairs were ranked by radiologists (N = 7), with a subset also scoring images using a Likert scale (N = 2). DL models were trained to match rankings using two architectures (EfficientNet and IQ-Net) with and without reference image subtraction and compared to ranking based on mean squared error (MSE) and structural similarity (SSIM). Image quality assessing DL models were evaluated as alternatives to MSE and SSIM as optimization targets for DL denoising and reconstruction.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Statistical tests: &lt;/strong&gt;Radiologists' agreement was assessed by a percentage metric and quadratic weighted Cohen's kappa. Ranking accuracies were compared using repeated measurements analysis of variance. Reconstruction models trained with IQ-Net score, MSE and SSIM were compared by paired t test. P &lt; 0.05 was considered significant.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Compared to direct Likert scoring, ranking produced a higher level of agreement between radiologists (70.4% vs. 25%). Image ranking was subjective with a high level of intraobserver agreement ( &lt;math&gt; &lt;semantics&gt;&lt;mrow&gt;&lt;mn&gt;94.9&lt;/mn&gt; &lt;mo&gt;%&lt;/mo&gt; &lt;mo&gt;±&lt;/mo&gt; &lt;mn&gt;2.4&lt;/mn&gt; &lt;mo&gt;%&lt;/mo&gt;&lt;/mrow&gt; &lt;annotation&gt;$$ 94.9%pm 2.4% $$&lt;/annotation&gt;&lt;/semantics&gt; &lt;/math&gt; ) and lower interobserver agreement ( &lt;math&gt; &lt;semantics&gt;&lt;mrow&gt;&lt;mn&gt;61.47&lt;/mn&gt; &lt;mo&gt;%&lt;/mo&gt; &lt;mo&gt;±&lt;/mo&gt; &lt;mn&gt;5.51&lt;/mn&gt; &lt;mo&gt;%&lt;/mo&gt;&lt;/mrow&gt; &lt;annotation&gt;$$ 61.47%pm 5.51% $$&lt;/annotation&gt;&lt;/semantics&gt; &lt;/math&gt; ). IQ-Net and EfficientNet accurately predicted rankings with a reference image ( &lt;math&gt; &lt;semantics&gt;&lt;mrow&gt;&lt;mn&gt;75.2&lt;/mn&gt; &lt;mo&gt;%&lt;/mo&gt; &lt;mo&gt;±&lt;/mo&gt; &lt;mn&gt;1.3&lt;/mn&gt; &lt;mo&gt;%&lt;/mo&gt;&lt;/mrow&gt; &lt;annotation&gt;$$ 75.2%pm 1.3% $$&lt;/annotation&gt;&lt;/semantics&gt; &lt;/math&gt; and &lt;math&gt; &lt;semantics&gt;&lt;mrow&gt;&lt;mn&gt;79.2&lt;/mn&gt; &lt;mo&gt;%&lt;/mo&gt; &lt;mo&gt;±&lt;/mo&gt; &lt;mn&gt;1.7&lt;/mn&gt; &lt;mo&gt;%&lt;/mo&gt;&lt;/mrow&gt; &lt;annotation&gt;$$ 79.2%pm 1.7% $$&lt;/annotation&gt;&lt;/semantics&gt; &lt;/math&gt; ). However, EfficientNet resulted in images with artifacts and high MSE when used in denoising tasks while IQ-Net optimized networks performed well for both denoising and reconstruction tasks.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Data conclusion: &lt;/strong&gt;Image quality networks can be trained from image ranking and used to optimize DL tasks.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Level of evidence: &lt;/strong&gt;3 TECH","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142846779","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":"A Review of MRI Acoustic Noise Outputs and Hearing Protection Device Performance.","authors":"Michael Steckner","doi":"10.1002/jmri.29665","DOIUrl":"https://doi.org/10.1002/jmri.29665","url":null,"abstract":"<p><p>The acoustic noise outputs of MR equipment typically require a hearing protection device (HPD) to minimize the likelihood of patient hearing loss. Several different ways to quantify HPD performance have been developed and adopted over many years in different countries across the world (eg, NRR, SNR, SLC80). These HPD evaluations are done in controlled laboratory conditions, following different standardized methodologies, producing different performance ratings for the same HPD, and consequently of a variable relationship with achieved real-world usage performance assessments. Conversely, the MR manufacturers follow one standard (NEMA MS-4) which strives to produce a worst-case peak and average acoustic noise output measurement. Measuring the acoustic output of MR equipment is a complex undertaking in the confined patient space, especially when considering the variability of what is in the patient imaging space. Given both the MR equipment acoustic output measurements and the HPD performance rating, it is theoretically possible to estimate the worst-case patient exposure level, subject to the uncertainty of how successfully the protection was applied and population variability. An assessment, shown here, suggests that the worst-case outputs from the loudest MR equipment requires the best passive HPD performance presently available in order to meet patient protection guidelines, but only when the HPD is properly deployed. However, when considering government agency derating recommendations that estimate protection achieved during practical application, the various metrics are not consistent in confirming that the best HPD provide sufficient protection. This paper reviews the challenges of determining and providing sufficient hearing protection. The correct deployment of HPD, and its verification, is thus a critical factor in ensuring adequate patient protection and the main concern of this review. LEVEL OF EVIDENCE: 5 TECHNICAL EFFICACY: Stage 5.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142846737","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":"Evaluation of Neurovascular Coupling in Early-Onset and Late-Onset Epilepsy of Unknown Etiology.","authors":"Xinyue Wan, Xuyang Yin, Xinyi Chai, Mei Tian, Jianhong Wang, Jun Zhang","doi":"10.1002/jmri.29678","DOIUrl":"https://doi.org/10.1002/jmri.29678","url":null,"abstract":"<p><strong>Background: </strong>Previous studies have shown neurovascular coupling (NVC) dysfunction in epilepsy, suggesting its role in the pathological mechanisms. However, it remains unclear whether NVC abnormalities exist in epilepsy of unknown etiology (EU).</p><p><strong>Purpose: </strong>To integrate multiparametric MRI to assess NVC and its relationship with cognition in early-onset and late-onset EU patients.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Population: </strong>Ninety-six EU patients (46 early-onset, M/F = 20/26; 50 late-onset, M/F = 29/21) and 60 healthy controls (HCs, M/F = 25/35).</p><p><strong>Field strength/sequence: </strong>3.0 T, resting-state gradient echo-planar imaging, pseudo-continuous arterial spin labeling (pc-ASL), and T1-weighted brain volume sequence.</p><p><strong>Assessment: </strong>Functional MRI data were analyzed to assess intrinsic brain activity including amplitude of low-frequency fluctuations (ALFF), fractional ALFF (fALFF), regional homogeneity (ReHo), and functional connectivity strength (FCS), while pc-ASL provided cerebral blood flow (CBF) measurements. Coupling correlation coefficients and ratios of CBF to neural activity were calculated to evaluate global and regional NVC.</p><p><strong>Statistical tests: </strong>Two-sample t-test, Analysis of Variance, Kruskal-Wallis test, Chi-square test, Analysis of Covariance, family-wise error/Bonferroni correction, partial correlation analyses. Statistical significance was defined as P < 0.05.</p><p><strong>Results: </strong>Whole-brain analysis revealed increased ALFF values in both patient groups' left precentral and postcentral gyri. Both patient groups had lower global NVC coefficients than HCs, with reduced CBF-ALFF (0.28 vs. 0.30), CBF-fALFF (0.43 vs. 0.45), and CBF-ReHo (0.40 vs. 0.41) in early-onset patients, and lower CBF-fALFF (0.38 vs. 0.45) and CBF-ReHo (0.32 vs. 0.41) in late-onset patients. Regional analysis showed significantly decreased CBF/ALFF ratios in the left precentral and postcentral gyri (T = 3.85 to 5.33). Reduced global NVC in early-onset patients was significantly associated with poorer executive function (r = 0.323), while global coupling in late-onset patients was negatively correlated with disease duration (r = -0.348 to -0.426).</p><p><strong>Data conclusion: </strong>This study showed abnormal global and regional NVC in both early-onset and late-onset EU patients, emphasizing the potential role of NVC in the pathophysiological mechanisms of EU.</p><p><strong>Level of evidence: </strong>1 TECHNICAL EFFICACY: Stage 1.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142818282","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}