Journal of Magnetic Resonance Imaging最新文献

{"title":"Fat-Corrected Non-Gaussian Diffusion MRI for Liver Fibrosis Assessment in Metabolic Dysfunction-Associated Steatotic Liver Disease.","authors":"Omaïma Saïd, Sabrina Doblas, Valérie Paradis, Pierre Bedossa, Dominique Valla, Cédric Laouénan, Laurent Castera, Bernard E Van Beers, Philippe Garteiser","doi":"10.1002/jmri.70148","DOIUrl":"https://doi.org/10.1002/jmri.70148","url":null,"abstract":"<p><strong>Background: </strong>In patients with metabolic dysfunction-associated steatotic liver disease (MASLD), non-Gaussian diffusion-weighted imaging (DWI) has been proposed for the diagnosis of liver fibrosis, but its measurement is partially confounded by steatosis. We therefore asked whether a fat-corrected approach could improve fibrosis assessment.</p><p><strong>Purpose: </strong>To evaluate the diagnostic performance of non-Gaussian diffusion coefficients for the assessment of fibrosis in MASLD patients with a method accounting for intravoxel fat.</p><p><strong>Study type: </strong>Prospective single-center cross-sectional study.</p><p><strong>Population: </strong>A total of 289 participants with Type 2 diabetes, hepatic steatosis, and elevated aminotransferases were enrolled from October 2018 to June 2021. Among them, 222 participants (mean age 59 ± 10 years; 149 men) underwent liver biopsy and MRI and were included in the final analysis.</p><p><strong>Field strength/sequence: </strong>3 T, DWI using spin-echo echo-planar imaging, MR elastography (MRE) using gradient echo sequence and fat fraction imaging using a multiple gradient echoes sequence.</p><p><strong>Assessment: </strong>Diffusion coefficients were estimated using two non-Gaussian models: a shifted apparent diffusion coefficient (sADC) and a non-linear least squares fit (ngADC), both computed without and with intravoxel fat correction (corr) using fat fraction on PDFF. Fibrosis was staged histologically. Quantitative parameters were compared across fibrosis stages. Diagnostic performance for F0 versus ≥ F1 was evaluated and compared to liver stiffness on MRE.</p><p><strong>Statistical tests: </strong>Group comparisons used Kruskal-Wallis tests (α = 0.05), and diagnostic performance was assessed via receiver operating characteristic (ROC) curve analysis with 95% confidence intervals, with p < 0.05 considered statistically significant.</p><p><strong>Results: </strong>ngADC_corr was significantly different between fibrosis stages (Kruskal-Wallis p < 0.05). ROC curve analysis indicated comparable performance in discriminating fibrosis stages F0 versus F1-F4 for ngADC_corr and stiffness (AUC = 0.66, 95% CI: [0.59, 0.7], p < 0.05 and 0.68 [0.62, 0.74], p < 0.05, respectively).</p><p><strong>Data conclusion: </strong>Fit-based non-Gaussian DWI with fat correction could potentially be used with similar diagnostic accuracy as MRE for detecting fibrosis in patients with MASLD.</p><p><strong>Evidence level: </strong>3.</p><p><strong>Technical efficacy: </strong>Stage 2.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145355084","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 \"Association of Blood-Brain Barrier Function With Disease Activity and Cognitive Function in Systemic Lupus Erythematosus Patients: A Multicenter Cross-Sectional Study\".","authors":"Alexandre Coimbra","doi":"10.1002/jmri.70144","DOIUrl":"https://doi.org/10.1002/jmri.70144","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145355034","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":"Alcohol Septal Ablation in Hypertrophic Obstructive Cardiomyopathy: Long-Term Follow-Up of Deformations and Hemodynamics.","authors":"Kenichiro Suwa, Kazuto Ohno, Terumori Satoh, Ryota Sato, Keisuke Iguchi, Yuichiro Maekawa","doi":"10.1002/jmri.70156","DOIUrl":"https://doi.org/10.1002/jmri.70156","url":null,"abstract":"<p><strong>Background: </strong>A detailed evaluation of hemodynamics, supportive morphology, and deformation may help uncover the pathophysiology of hypertrophic obstructive cardiomyopathy (HOCM) and the changes wrought by alcohol septal ablation (ASA).</p><p><strong>Purpose: </strong>To investigate the global cardiac volume, myocardial deformation, and hemodynamic characteristics before and during long-term follow-up after ASA in patients with HOCM.</p><p><strong>Study type: </strong>Retrospective.</p><p><strong>Subjects: </strong>Twenty-three patients (68.1 ± 8.6 years, 21.7% male) with HOCM who underwent MRI before and after ASA.</p><p><strong>Field strength/sequence: </strong>A 3T, Two-dimensional fast imaging employing steady-state acquisition, inversion recovery-prepared fast gradient echo sequences, and cine and time-resolved three-dimensional cine phase-contrast (4D flow) MRI.</p><p><strong>Assessment: </strong>Global left ventricular (LV) volume by cine, peak strain, and strain rate by myocardial feature-tracking MRI, and hemodynamic characteristics by 4D flow MRI.</p><p><strong>Statistical tests: </strong>Paired t-test and Wilcoxon signed-rank test compared normally and nonnormally distributed data, respectively. Chi-squared or Fisher's exact tests were used to compare categorical data, as appropriate. Pearson's or Spearman's correlation coefficient evaluated the correlations. Statistical significance was set at q ≤ 0.10 or p < 0.05.</p><p><strong>Results: </strong>In LV long-axis images, the global radial strain increased significantly (16.6% ± 5.8% vs. 20.1% ± 6.8%), whereas the global longitudinal strain decreased significantly after ASA (-10.5% ± 3.2% vs. -12.1% ± 3.5%). The diastolic LV anterior vortex area increased significantly after ASA (2256.1 [703.6, 4038.4] vs. 3826.1 [1914.3, 4820.1] mm²). Multiplication of the LV end-diastolic volume index, global circumferential strain, and diastolic radial peak strain rate in LV long-axis images revealed a significant correlation with the diastolic LV anterior vortex area (Rs = 0.43).</p><p><strong>Data conclusions: </strong>Feature-tracking and 4D flow MRI revealed improved systolic and diastolic LV function during long-term follow-up after ASA. The diastolic LV vortex was associated with the combined parameters of LV volume and deformation. Comprehensive cardiac MRI may help understand the beneficial effects of ASA.</p><p><strong>Evidence level: </strong>3.</p><p><strong>Technical efficacy: </strong>Stage 5.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145355024","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":"Cardiac Involvement After Exertional Heatstroke: Short-Term Cardiac MRI Follow-Up Study.","authors":"Jun Zhang, Xiang Kong, Li Qi, Shutian Xu, Tongyuan Liu, Jun Cai, Song Luo, Long Jiang Zhang","doi":"10.1002/jmri.70157","DOIUrl":"https://doi.org/10.1002/jmri.70157","url":null,"abstract":"<p><strong>Background: </strong>Myocardial involvement is a major manifestation of exertional heatstroke (EHS), yet its short-term clinical outcome remains unclear.</p><p><strong>Purpose: </strong>To assess serial cardiac left ventricular structural and functional changes using baseline and 3-month cardiac MRI.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Population: </strong>A total of 41 participants (median age, 21 years; IQR, 20-23 years) hospitalized for EHS and 27 age-, sex-, and training-matched healthy controls (HCs).</p><p><strong>Field strength/sequence: </strong>Fast imaging employing steady-state acquisition (cine imaging), saturation methods using adaptive recovery times (native T1, extracellular volume [ECV]), phase-sensitive inversion-recovery gradient recalled echo (late gadolinium enhancement [LGE]), and multi-echo fast spin echo (T2) sequences at 3.0 T.</p><p><strong>Assessment: </strong>Longitudinal comparisons were performed within the EHS group (baseline vs. 3-month follow-up), and cross-sectional comparisons were performed between patients and HCs. Cardiac symptoms (chest pain, dyspnea, palpitations, and syncope) at follow-up were recorded using standardized questionnaires.</p><p><strong>Statistical tests: </strong>Paired sample t-test, independent sample t-test, analysis of variance, Kendall's τ-b. A p value < 0.05 was considered significant.</p><p><strong>Results: </strong>Significant improvements were observed in native T1 (1492 ± 52 ms vs. 1521 ± 57 ms), ECV (23.4% ± 1.7% vs. 24.3% ± 1.8%), T2 (45.9 ± 2.2 ms vs. 47.3 ± 2.3 ms), and 2D global longitudinal strain (-16.7% ± 1.6% vs. -15.8% ± 1.1%) at 3 months follow-up compared to baseline parameters in the EHS cohort. However, native T1 (1492 ± 52 ms vs. 1456 ± 26 ms) and ECV (23.4% ± 1.7% vs. 20.6% ± 1.6%) at follow-up were significantly higher in EHS than in HCs. At 3-month follow-up, native T1, ECV, and LGE presence were associated with cardiac symptoms (Kendall's τ-b = -0.430, -0.447, and -0.398, respectively).</p><p><strong>Data conclusion: </strong>This study demonstrated persistently elevated native T1 and ECV at 3 months following EHS, despite partial improvement. Those with residual abnormalities should not be cleared for unrestricted training.</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":3.5,"publicationDate":"2025-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145337080","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 \"Evaluating Measurement Stability in Glioblastomas Using Magnetic Resonance Elastography: Repeatability and Interobserver Agreement\".","authors":"Gianluca Nocera, Nicolò Pecco","doi":"10.1002/jmri.70154","DOIUrl":"https://doi.org/10.1002/jmri.70154","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145337071","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: \"Accelerating 2D Kidney Magnetic Resonance Fingerprinting Using Deep Learning Based Tissue Quantification\".","authors":"Hongfu Sun","doi":"10.1002/jmri.70151","DOIUrl":"https://doi.org/10.1002/jmri.70151","url":null,"abstract":"","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145308285","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":"Impact of Diffusion-Weighted Magnetic Resonance Imaging Parameters on Diagnostic Accuracy for Thyroid Nodules: A Systematic Review and Meta-Analysis.","authors":"Caterina Giannitto, Angela Ammirabile, Giorgia Carnicelli, Ludovica Lofino, Andrea Costantino, Fabrizio Natali, Andrea Alessandro Esposito, Armando De Virgilio, Antonio Lo Casto, Giovanni Savini, Lorenzo Ugga, Giuseppe Mercante, Letterio Salvatore Politi, Steve Connor","doi":"10.1002/jmri.70141","DOIUrl":"https://doi.org/10.1002/jmri.70141","url":null,"abstract":"<p><strong>Background: </strong>Surgery is the gold standard to differentiate benign from malignant thyroid nodules, but it is invasive and often unnecessary in indeterminate cases. Diffusion-Weighted MRI (DW-MRI) has emerged as a promising, non-invasive tool, though its accuracy and the impact of acquisition parameters remain unclear.</p><p><strong>Purpose: </strong>To evaluate the diagnostic accuracy of DW-MRI in distinguishing malignant from benign thyroid nodules and identifying influencing acquisition parameters.</p><p><strong>Study type: </strong>Systematic Review and Meta-analysis (researchregistry11482).</p><p><strong>Population: </strong>2073 patients, 2403 thyroid nodules (1067 malignant).</p><p><strong>Field strength/sequence: </strong>DW-MRI at 3.0T or 1.5T.</p><p><strong>Assessment: </strong>A systematic search of Pubmed, Embase, Cochrane Library, Scopus, and Web of Science was conducted through July 2025 following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses of Diagnostic Test Accuracy guidelines. Studies on DW-MRI in thyroid nodules were included. Risk of bias and applicability were assessed using QUADAS-2.</p><p><strong>Statistical tests: </strong>A bivariate random-effects model estimated pooled sensitivity (SE), specificity (SP), and area under the curve (AUC). Univariable and multivariable meta-regressions explored the influence of DW-MRI parameters. Subgroup analyses and pooled Apparent Diffusion Coefficient (ADC) comparisons were also performed. Results were considered statistically significant at p < 0.05.</p><p><strong>Results: </strong>Thirty-seven studies were included. DW-MRI showed pooled SE 0.84, SP 0.87, and AUC 0.91, confirmed in studies at low risk of bias (AUC 0.80). Univariable meta-regression revealed that 3.0T field strength reduced SP, while < 5 averages and acquisition matrix ≥ 130 increased SE. Nodule size ≥ 10 mm and circular region of interest improved SP. Multivariable analysis confirmed increased SE with b-values > 2 and improved SP with b ≥ 1000, while 3.0 T remained associated with reduced SP. Malignant nodules showed lower ADC (1.08 vs. 1.73 × 10^-3 mm²/s vs. 1.70 × 10^-3 mm²/s for benign), especially with b ≥ 1000.</p><p><strong>Data conclusion: </strong>DW-MRI shows good diagnostic accuracy for thyroid nodule assessment, although it is influenced by both technical and methodological factors.</p><p><strong>Level of evidence: 3: </strong></p><p><strong>Technical efficacy: </strong>Stage 3.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145301439","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":"Highly Accelerated Aortic 4D Flow MRI: Implications for Pulse Wave Velocity Measurements.","authors":"Bingyi Wang, Aiqi Sun, Hao Li, Zhensen Chen, Ruiyu Cao, Hongwei Li, Ying-Hua Chu, Ning Jin, He Wang","doi":"10.1002/jmri.70153","DOIUrl":"https://doi.org/10.1002/jmri.70153","url":null,"abstract":"<p><strong>Background: </strong>Aortic pulse wave velocity (PWV) is a biomarker of arterial stiffness. Although compressed sensing (CS)-accelerated 4D flow MRI reduces scan time, the influence of CS acceleration factors on the consistency of PWV measurements remains unclear.</p><p><strong>Purpose: </strong>To evaluate the consistency of different PWV calculation methods under varying CS acceleration factors (R), identify the most robust method, and investigate the impact of CS acceleration on PWV measurements.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Population: </strong>Sixteen healthy adults (23-39 years, 8 males).</p><p><strong>Field strength/sequence: </strong>A 3D Cartesian retrospective ECG-triggered 4D flow sequence, using GRAPPA (R = 2) and CS (R = 4.4, 7.7, 11.5, 15.3, 20.5) at 3 T.</p><p><strong>Assessment: </strong>PWV was calculated from GRAPPA and CS datasets using five methods: time-to-foot (TTf), time-to-median (TTm), cross-correlation (Xcor), fitting plane (plane), and maximum likelihood estimation (MLE) across the thoracic aorta. Scan-rescan repeatability was also assessed.</p><p><strong>Statistical tests: </strong>Paired t-test, Bland-Altman analysis, Levene's test, root-mean-square-error (RMSE), intraclass correlation coefficients (ICC), and Pearson's correlation coefficients (r). A p value < 0.05 was considered statistically significant.</p><p><strong>Results: </strong>All CS reconstructions systematically overestimated PWV compared with GRAPPA R = 2 (bias +7.7% to +50.5%, all p < 0.05). Among the five evaluated PWV calculation methods, the TTf method exhibited the largest overestimation (+29.3% to +50.5% vs. GRAPPA R = 2; +3.2% to +16.3% vs. CS R = 4.4). In contrast, the Xcor method yielded much smaller biases (+8.6% to +13.4% vs. GRAPPA R = 2; -1.3% to +3.1% vs. CS R = 4.4) and demonstrated the highest scan-rescan repeatability (ICC up to 0.94 across CS accelerations).</p><p><strong>Data conclusions: </strong>A systematic overestimation of PWV was observed in CS reconstructions compared with GRAPPA. Nevertheless, in our experiments, the Xcor method demonstrated the smallest bias and highest repeatability, which may enable more consistent PWV measurements when using high-acceleration CS 4D flow.</p><p><strong>Evidence level: </strong>2.</p><p><strong>Technical efficacy: </strong>Stage 1.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145308311","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":"Accelerating 2D Kidney Magnetic Resonance Fingerprinting Using Deep Learning Based Tissue Quantification.","authors":"Zhiqing Yin, Huay Din, Jessie E P Sun, Christina J MacAskill, Sree Harsha Tirumani, Pew-Thian Yap, Mark Griswold, Chris A Flask, Yong Chen","doi":"10.1002/jmri.70150","DOIUrl":"https://doi.org/10.1002/jmri.70150","url":null,"abstract":"<p><strong>Background: </strong>Magnetic Resonance Fingerprinting (MRF) is a technique that can provide rapid quantification of multiple tissue properties. Deep learning may potentially contribute to an accelerated acquisition of MRF.</p><p><strong>Purpose: </strong>(1) To develop a deep learning method to accelerate the acquisition for kidney MRF; (2) to evaluate its performance in healthy subjects and patients with renal masses.</p><p><strong>Study type: </strong>Retrospective and based on internal reference data.</p><p><strong>Subjects: </strong>Development set was 36 healthy subjects and 20 patients with renal masses. The testing set: 4 healthy subjects and 16 patients.</p><p><strong>Field strength/sequence: </strong>3T, Steady-State Free Precession (FISP)-based MRF.</p><p><strong>Assessment: </strong>Quantification accuracy was evaluated in healthy kidneys and renal masses using quantitative metrics including normalized root-mean-square error (NRMSE) calculated based on reference maps generated using the standard template matching approach with all acquired MRF time frames.</p><p><strong>Statistical tests: </strong>Paired Student's t-test. p < 0.05 was considered statistically significant.</p><p><strong>Results: </strong>Accurate quantification in both T₁ (NRMSE = 0.025 ± 0.003) and T₂ (NRMSE = 0.053 ± 0.010) maps was obtained for healthy kidney tissues with a three-fold acceleration (576 time frames, 5 s of scan time), outperforming the template matching approach (T₁, NRMSE = 0.057 ± 0.015; T₂, NRMSE = 0.143 ± 0.080). For renal masses with T₁ and T₂ values in close range of healthy kidney tissues, similar performance was achieved with a three-fold acceleration. For renal masses presenting distinct T₁ or T₂ values, more MRF time frames were required to provide accurate tissue quantification. No significant difference was noticed in tissue/tumor quantification between neural networks trained using only healthy subjects versus a mixed dataset with healthy subjects and patients (p > 0.05).</p><p><strong>Conclusion: </strong>A deep learning-based method was developed to accelerate acquisition without compromising the accuracy of relaxation time mapping using kidney MRF. These results demonstrate reliable tissue quantification with at least a two-fold acceleration for both healthy kidneys and renal masses with various subtypes and histopathological grades.</p><p><strong>Evidence level: </strong>4.</p><p><strong>Technical efficacy: </strong>Stage 1.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145286375","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 Myocardial Oxygenation and Impaired Energy Efficiency: A Pilot Study in Patients With Light Chain Cardiac Amyloidosis.","authors":"Liya Dai, Keyan Wang, Ran Li, Jinghan Qiao, Caleb Berberet, Qi Huang, Jiansong Ji, Scott M Bugenhagen, Thomas H Schindler, Linda R Peterson, Pamela K Woodard, Jie Zheng","doi":"10.1002/jmri.70152","DOIUrl":"https://doi.org/10.1002/jmri.70152","url":null,"abstract":"<p><strong>Background: </strong>Cardiac magnetic resonance (MR) enables assessment of myocardial oxygenation without contrast media. However, how myocardial oxygen metabolism is altered in light chain cardiac amyloidosis (AL-CA) patients remains poorly understood.</p><p><strong>Purpose: </strong>To leverage newly developed MR techniques for the evaluation of altered myocardial oxygen metabolism in AL-CA patients.</p><p><strong>Study type: </strong>Prospective.</p><p><strong>Subjects: </strong>Twenty participants: 10 AL-CA patients (8 males) and 10 healthy controls (HCs; 8 males).</p><p><strong>Sequence: </strong>3 T, cine imaging, T1 mapping, first-pass perfusion imaging, and asymmetric spin echo prepared (ASEprep) sequence.</p><p><strong>Assessment: </strong>All subjects underwent cine imaging for left ventricular global longitudinal strain (LVGLS), pre- and post-contrast T1 mapping for extracellular volume (ECV), and ASEprep sequence for myocardial oxygen extraction fraction (mOEF) mapping. Myocardial blood flow (MBF) was derived from first-pass perfusion images, and myocardial oxygen consumption (MVO₂) and myocardial external efficiency (MEE) were quantified.</p><p><strong>Statistical tests: </strong>T-test, U test, Firth penalized logistic regression, a one-way analysis of variance, and correlation analysis.</p><p><strong>Results: </strong>Compared with HCs, AL-CA patients demonstrated higher mOEF (0.66 ± 0.04 vs. 0.59 ± 0.02), native T1 (1395.4 ± 109.25 vs. 1236.97 ± 41.32), and ECV (40.39 ± 8.99 vs. 25.48 ± 2.03), but lower MBF (0.08[0.08, 0.12] vs. 0.13[0.11, 0.15]), MVO₂ (0.06 ± 0.01 vs. 0.08 ± 0.01), and LVGLS (-13.34 ± 3.75 vs. -17.65 ± 1.78). MEE (63.2 ± 21.18 vs. 77.15 ± 19.68, p = 0.156) in AL-CA patients was reduced, whereas total MVO₂ (6.25 ± 2.98 vs. 4.6 ± 1.27, p = 0.115) was increased, though not statistically significant. mOEF correlated strongly with LV mass (r = 0.72), moderately with ECV (r = 0.60), native T1 (r = 0.64), LVGLS (r = -0.52), and MBF (r = -0.65). MVO₂ correlated moderately with ECV (r = -0.57), native T1 (r = -0.56), and LV mass (r = -0.60). MEE correlated strongly with LVEF (r = 0.78) and moderately with LVGLS (r = 0.59).</p><p><strong>Data conclusion: </strong>Our pilot cardiac MR study demonstrated the feasibility of quantifying myocardial oxygenation and mechanical efficiency in AL-CA. Elevated mOEF and reduced MBF suggest microvascular dysfunction from amyloid infiltration, while impaired MEE and increased total MVO₂ underscore metabolic-mechanical uncoupling.</p><p><strong>Evidence level: </strong>2.</p><p><strong>Technical efficacy: </strong>Stage 1.</p>","PeriodicalId":16140,"journal":{"name":"Journal of Magnetic Resonance Imaging","volume":" ","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145286467","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}