Journal of Cardiovascular Magnetic Resonance最新文献

{"title":"Characteristics and Prognostic Value of MRI-Derived Left Ventricular Hemodynamics in Pulmonary Arterial Hypertension.","authors":"Jiaqi Wang, Jiajun Guo, Ji Zhao, Juan He, Chen Chen, Yangjie Li, Yuanwei Xu, Ke Wan, Weihao Li, Yuchi Han, Yucheng Chen","doi":"10.1016/j.jocmr.2026.102742","DOIUrl":"https://doi.org/10.1016/j.jocmr.2026.102742","url":null,"abstract":"<p><strong>Background: </strong>There is increasing recognition of the importance of left ventricular (LV) assessment in pulmonary arterial hypertension (PAH). Hemodynamic patterns derived from hemodynamic force (HDF) analysis is an approach to evaluate hemodynamic patterns and myocardial dysfunction. However, its prognostic value with PAH remains unclear.</p><p><strong>Methods: </strong>PAH participants who underwent cardiac magnetic resonance (CMR) between January 2015 and July 2023 were prospectively and consecutively enrolled. LV HDF analysis was performed on the 2-, 3-, and 4-chamber long axis view. The primary endpoint was all-cause mortality. Cox regression analysis and Kaplan-Meier survival analysis were performed to identify the association between parameters and outcomes. The incremental prognostic value of hemodynamic pattern and CMR scores were assessed using χ² test, net reclassification improvement (NRI) and integrated discrimination improvement (IDI).</p><p><strong>Results: </strong>There were 311 participants (mean age, 38 ± 14 years; 87 men) evaluated. During a median follow-up of 38 months (interquartile range, 16-54 months), 55 participants reached the primary endpoint. Full cardiac cycle (FCC) and diastolic deceleration impulse (DDI) HDF ratios, but not systolic ejection impulse, were significantly lower in PAH patients compared to healthy controls (P= 0.003 and P=0.009, respectively). In multivariable Cox regression analysis, DDI HDF ratios were independent predictors of the primary endpoint in PAH patients and CHD-PAH subgroup (hazard ratio [HR], 0.83, [95% CI: 0.72, 0.96; P= 0.009]; HR, 0.74, [95% CI: 0.56, 0.97; P= 0.03]). Adding the DDI HDF ratio to established clinical models significantly improved risk classification, yielding a continuous NRI of 0.27 (P=0.01) and an IDI of 0.01 (P=0.03) for the overall cohort, with consistent improvements in the CHD-PAH subgroup (NRI 0.30, P=0.04; IDI 0.02, P=0.03).</p><p><strong>Conclusion: </strong>LV hemodynamic patterns derived from CMR-based DDI HDF ratio were identified as independent prognostic predictor in pulmonary hypertension, providing incremental prognostic value beyond established risk scores.</p><p><strong>Trial registration: </strong>This study was registered in the Chinese clinical trial registry (ChiCTR1800019314 and ChiCTR1900025518). URL: https://www.chictr.org.cn/.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"102742"},"PeriodicalIF":6.1,"publicationDate":"2026-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147815399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"In Vivo Atherosclerotic Plaque Characterization Using 7T Quantitative T2*Mapping Distinguishes Symptomatic Middle Cerebral Artery Plaques.","authors":"Xiaoyan Bai, Ziming Xu, Tong Chen, Zhiye Li, Yi Ju, Xingquan Zhao, Qingle Kong, Zhe Zhang, Xue Zhang, Xun Pei, Yuanbin Zhao, Yajie Wang, Jiaqi Dou, Binbin Sui, Huijun Chen","doi":"10.1016/j.jocmr.2026.102738","DOIUrl":"https://doi.org/10.1016/j.jocmr.2026.102738","url":null,"abstract":"<p><strong>Background: </strong>Intraplaque T2* values help to identify symptomatic carotid plaques and correlate with intraplaque iron deposits in plaque progression. However, intracranial T2* mapping in vivo at 3T MRI is challenging due to limited resolution and signal-to-noise ratio. This study aimed to quantitatively measure T2* value of middle cerebral artery (MCA) atherosclerotic plaques using 7T MRI and to assess its correlation with cerebrovascular symptoms.</p><p><strong>Methods: </strong>Phantom studies were performed to evaluate the accuracy of T2* mapping obtained with the proposed sequence by comparison with the ground truth acquisition. In the in vivo study, intraplaque T2* values obtained from multi-echo T2* mapping and plaque characteristics from T1-weighted 3D sampling perfection with application-optimized contrast using different flip angle evolutions sequence on 7T MRI were analyzed and compared between patients with symptomatic and asymptomatic MCA plaques. Multivariate logistic regression was used to determine the odds ratios of T2* values and plaque characteristics in discriminating symptomatic from asymptomatic plaques. Diagnostic performance was evaluated using area under the curve (AUC) values. Correlation analyses were performed between T2* values and intraplaque hemorrhage (IPH).</p><p><strong>Results: </strong>Phantom T2* measurements using the proposed sequence showed excellent agreement with the ground truth sequence (ICC=0.998, p<0.001), with a mean percentage error of 3.97 ± 3.11%. The clinical cohort of this prospective cross-sectional study included 39 symptomatic patients with MCA plaques and 21 age-, sex-, and stenosis degree-matched asymptomatic patients. Scan-rescan reproducibility of T2* mapping was excellent (p < 0.001). Symptomatic plaques had significantly lower T2* values than asymptomatic plaques (22.24±5.31 vs. 30.24±7.00 ms, p<0.001). In multivariate analysis, intraplaque T2* values (OR: 0.162, 95% CI: 0.053-0.497, p=0.001) and normalized wall index (NWI) (OR: 2.150, 95% CI: 1.041-4.443, p=0.039) were independently associated with symptomatic plaques. The optimal combination of T2* values and NWI showed the best diagnostic performance (AUC=0.861, 95% CI:0.747-0.937), with 94.9% sensitivity and 66.7% specificity. T2* values were negatively correlated with and IPH (r=-0.290, p=0.027) after age- and sex- adjustments.</p><p><strong>Discussion: </strong>The feasibility of intracranial T2*mapping in vivo on 7T MRI has been proven, indicating its potential as a sensitive tool for characterizing intracranial symptomatic plaques.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"102738"},"PeriodicalIF":6.1,"publicationDate":"2026-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147815483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fontan Conduit Cross-sectional Area and Relationship to Exercise Performance.","authors":"Conor P O'Halloran, Tarek Alsaied, Alan P Wang, Kendra Ward, Christina Laternser, Matthew D Files, Ellen Mines, Bethan A Lemley, Nazia Husain, Lajja Desai, Rahul H Rathod, Joshua D Robinson","doi":"10.1016/j.jocmr.2026.102729","DOIUrl":"https://doi.org/10.1016/j.jocmr.2026.102729","url":null,"abstract":"<p><strong>Background: </strong>The synthetic extracardiac (EC) Fontan conduit may become inadequate as patients grow, potentially limiting cardiovascular capacity.</p><p><strong>Objective: </strong>To evaluate the relationship between EC-Fontan conduit cross-sectional area (CSA), indexed to body surface area (BSA), and exercise performance.</p><p><strong>Methods: </strong>A cross-sectional analysis of data from the FORCE registry was performed. Patients with EC-Fontan anatomy who underwent cardiac magnetic resonance imaging (CMR) and cardiopulmonary exercise testing (CPET) within one year of each other were analyzed. Median length-averaged and minimum Fontan CSAs were measured using 3D segmentation and indexed to BSA. The primary outcome was percent predicted peak VO₂ (ppVO₂) on maximal effort CPET. Multivariable linear regression models assessed associations between Fontan CSA/BSA and ppVO₂, adjusting for known predictors of ppVO₂ in Fontan patients.</p><p><strong>Results: </strong>Of the 493 patients with an EC Fontan and with time matched CMR and EST, 324 had technically adequate 3D imaging for Fontan conduit measurements and an appropriately documented maximal effort EST. CMRs occurred at median age of 15 years old and median time of 11 years after Fontan surgery. The median length-averaged and minimum Fontan CSA were 268 mm² (IQR 227-309 mm²) and 229 mm² (IQR 194-273 mm²), respectively. After adjusting for known predictors of ppVO2 in Fontan patients, both minimum and length averaged Fontan CSA/BSA were positively associated with ppVO2, such that each mm²/m² increase in minimum CSA/BSA was associated with a 0.08% increase in ppVO2 (p<0.001) or each mm²/m² increase length-averaged CSA/BSA was associated with a 0.07% increase in ppVO2 (p<0.001). Fontan CSA/BSA was not significantly associated with cardiac function measures at rest, including ejection fraction and cardiac output.</p><p><strong>Conclusions: </strong>Smaller EC-Fontan CSA/BSA is independently associated with reduced exercise capacity after controlling for other known predictors of exercise performance.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"102729"},"PeriodicalIF":6.1,"publicationDate":"2026-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147815404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The severity of post-infarction edema suggests a bimodal pattern, whereas the extent does not.","authors":"Robert Jablonowski, David Nordlund, Christos Xanthis, Sebastian Bidhult, Sascha Kopic, Jonathan Berg, Henrik Engblom, Anthony H Aletras, Håkan Arheden","doi":"10.1016/j.jocmr.2026.102741","DOIUrl":"https://doi.org/10.1016/j.jocmr.2026.102741","url":null,"abstract":"<p><strong>Background: </strong>Preclinical and clinical data following acute myocardial infarction (MI) have shown conflicting results whether a bimodal pattern of edematous myocardium at risk (MaR) on CMR imaging during the first week exists or not. The objective was to assess the dynamics of MaR following acute experimental MI using a comprehensive cardiovascular magnetic resonance (CMR) protocol.</p><p><strong>Methods: </strong>Acute MI was induced in seven pigs with reperfusion after 40minutes. CMR was performed at baseline, 120minutes, 24h and 7 days post reperfusion. The CMR protocol comprised of two T2-mapping sequences, a T2-SSFP sequence (T2-mapping_SSFP) and a T2-TSE sequence (T2-mapping_TSE), and a T2w short-tau inversion recovery (T2-STIR) sequence. After contrast administration, CE-SSFP and LGE images were acquired. The severity of MaR was defined as the T2 relaxation on T2 maps and extent of MaR as percentage of edematous myocardium on CE-SSFP and T2-STIR images.</p><p><strong>Results: </strong>The severity of edema within the MaR was significantly lower at 24hours compared to 120minutes (T2 mapping_SSFP:69±9 vs 80±8ms; T2 mapping_TSE:57±7 vs 69±9ms) followed by a recovery at 7 days (T2 mapping_SSFP:77±10ms; T2 mapping_TSE:67±12ms). The extent of MaR showed a gradual decrease between 120minutes and 24hours on CE-SSFP (29±10 vs 26±9%LVM) and at 7 days compared to both previous time points (CE-SSFP: 24±11%LVM).</p><p><strong>Conclusion: </strong>The severity of edema within the MaR following acute MI suggests a bimodal pattern, whereas the extent of MaR does not.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"102741"},"PeriodicalIF":6.1,"publicationDate":"2026-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147815416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantitative assessment of cardiac phosphocreatine metabolism under physiological and pharmacological stress using CEST MRI.","authors":"Qi Huang, Caleb Berberet, Ryan Wahidi, Todd Pavek, Cihat Eldeniz, Liya Dai, Rong Guo, Yang Yang, Scott Bugenhagen, Linda R Peterson, Thomas H Schindler, Pamela K Woodard, Jie Zheng","doi":"10.1016/j.jocmr.2026.102739","DOIUrl":"https://doi.org/10.1016/j.jocmr.2026.102739","url":null,"abstract":"<p><strong>Background: </strong>Phosphocreatine (PCr) exhibits a distinct chemical exchange saturation transfer (CEST) resonance at ~2.5 ppm with slower exchange kinetics and lower pH sensitivity than creatine. This pilot study evaluated the feasibility of quantifying myocardial PCr-dominated concentration ([PCr]_d) using CEST cardiac MRI (CEST-CMR) and validated the measurements with phosphorus magnetic resonance spectroscopy (³¹P-MRS).</p><p><strong>Methods: </strong>Phantoms with varied concentrations of PCr and Cr were scanned to characterize PCr CEST signals under physiological conditions. Experiments were conducted at both room temperature and 37 °C with full Z-spectra acquisition. For the study in vivo, CEST imaging was performed in normal canines (n = 13), at rest and after regadenoson vasodilation, and during dobutamine stress (n=5). In addition, healthy volunteers (n =9) underwent rest-exercise-recovery studies with in-magnet plantar-flexion exercise. Both CEST images and ³¹P-MRS were acquired in separate exercise sessions. WASSR-derived corrected The Z-spectra corrected by derived B₀ maps were fitted with a three-pool Bloch-McConnell model (water, PCr, magnetization transfer) to estimate [PCr]_d. For ³¹P-MRS, PCr/γATP ratios were converted to PCr concentrations using γATP as a reference. Rate-pressure product (RPP) was used as an indicator of myocardial oxygen consumption.</p><p><strong>Results: </strong>In phantoms, PCr-dominated CEST contrast increased monotonically with PCr concentration across pure and mixed PCr/Cr solutions, while Cr-only phantoms did not produce artifactual PCr estimates. In canines, myocardial [PCr]_d was 12.0 ± 1.8mM at rest and decreased to 7.1 ± 1.6mM during dobutamine stress (p<0.001), while remaining unchanged with regadenoson vasodilation (11.8 ± 0.3 vs 11.8 ± 0.6mM). Changes in [PCr]_d correlate_d negatively with RPP (r = -0.75). In human subjects, CEST-derived [PCr]_d was 13.2 ± 1.4mM at rest, 7.1 ± 1.0mM during exercise (p<0.001), and 12.9 ± 1.5mM during hyperemia. Corresponding ³¹P-MRS estimates were 12.9 ± 1.4mM, 7.7 ± 2.3mM, and 12.2 ± 1.6mM, respectively. CEST-derived [PCr]_d showed a moderate negative correlation with RPP (r = -0.52).</p><p><strong>Conclusion: </strong>CEST-CMR enables noninvasive estimation of myocardial [PCr]_d in vivo and detects physiologic energetic changes during stress, with measurements consistent with ³¹P-MRS.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"102739"},"PeriodicalIF":6.1,"publicationDate":"2026-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147772575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cardiovascular Magnetic Resonance Detects Subclinical Cardiac Involvement in Giant Cell Arteritis.","authors":"Annemarie Proff, Simon M Petzinna, Lena Kreis, Sophie-Marie Kirch, Taraneh Aziz-Safaie, Narine Mesropyan, Dmitrij Kravchenko, Anja Winklbauer, Tatjana Dell, Claus C Pieper, Daniel Kuetting, Julian A Luetkens, Valentin S Schäfer, Alexander Isaak","doi":"10.1016/j.jocmr.2026.102740","DOIUrl":"https://doi.org/10.1016/j.jocmr.2026.102740","url":null,"abstract":"<p><strong>Background: </strong>To assess cardiac involvement in patients with newly diagnosed giant cell arteritis (GCA) using cardiovascular magnetic resonance (CMR).</p><p><strong>Methods: </strong>In this prospective single-center study, patients with newly diagnosed GCA underwent CMR at baseline and under therapy six months later. The imaging protocol enabled evaluation of cardiac function and volumes, edema, late gadolinium enhancement (LGE), and T1 and T2 mapping including extracellular volume fraction (ECV). Healthy controls were included for comparison. Group comparisons were performed using t-tests, Mann-Whitney U, and chi-square tests. Paired t-tests assessed longitudinal changes.</p><p><strong>Results: </strong>A total of 45 GCA patients (mean age 73±9 years; 42.2% female) and 30 healthy controls were included. Active inflammatory cardiac disease was found in 3/45 (6.7%) of patients, comprising active pericarditis in 2/3 (66.7%) and active myocarditis in 1/3 (33.3%). LGE was observed in 12/45 (26.7%) of patients (5/12 [41.7%] with ischemic, 5/12 [41.7%] with non-ischemic, and 2/12 [16.7%] with pericardial pattern). Compared to controls, GCA patients had significantly elevated native T1 relaxation times (987±29 vs. 968±22ms; p=0.003) and ECV values (27.3±3.8% vs. 25±2.1%; p=0.003). Patients with large-vessel involvement (24/45 [53.3%]) showed higher myocardial ECV values (28.7±4.2% vs. 25.8±2.5%, p=0.008). Follow-up CMR was performed in 35 patients; here no significant changes were observed compared to baseline CMR (e.g., native T1: 984±25 vs. 980±20ms, p=0.397).</p><p><strong>Conclusion: </strong>In patients with newly diagnosed GCA, CMR reveals subclinical cardiac involvement, including active inflammatory disease (myocarditis and pericarditis), post-ischemic scars, and signs of non-ischemic myocardial fibrosis.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"102740"},"PeriodicalIF":6.1,"publicationDate":"2026-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147772596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synthetically trained convolutional neural networks for time-resolved aortic segmentation of 4D flow MRI.","authors":"Gloria Wolkerstorfer, Pietro Dirix, Cosima Jahnke, Ingo Paetsch, Robert Manka, Stefano Buoso, Sebastian Kozerke","doi":"10.1016/j.jocmr.2026.102735","DOIUrl":"https://doi.org/10.1016/j.jocmr.2026.102735","url":null,"abstract":"<p><strong>Background: </strong>Supervised learning-based approaches are increasingly used for vessel segmentation in 4D flow MRI. However, their widespread adoption is challenged by the need for diverse, reliably annotated datasets, sensitivity to acquisition and reconstruction settings, and the lack of fully defined ground truth.</p><p><strong>Methods: </strong>In this study, we investigated the use of realistic, fluid mechanics-informed synthetic 4D flow MRI data to train convolutional neural networks for time-resolved aortic segmentation. The availability of fully defined ground truth vessel geometries in synthetic data enabled quantitative evaluation prior to evaluation on in vivo data acquired across three scanners with varying field strengths and protocols. Four training strategies were evaluated: one using in vivo data only (R-28), and three based on increasing amounts and diversity of synthetic data (S-28, S-multi and S-full). Performance was assessed using voxel- and surface-based metrics, including Dice score (DSC), Hausdorff distance (HD), and Bland-Altman analysis.</p><p><strong>Results: </strong>The S-full model achieved the best performance on the in vivo test dataset, with a Dice score of 0.956 ± 0.017 and a Hausdorff distance of 1.708 ± 1.473mm, relative to reference annotations. Bland-Altman analysis of cross-sectional areas showed small biases and narrow limits of agreement, with 1.1% [-10.9, 13.1] % for the ascending aorta and -1.0% [-13.1, 11.1] % for the descending aorta. For the in vivo trained model (R-28) evaluated on synthetic data, relative cross-sectional area measurements yielded biases of 3.1% [-10.9, 17.0] % in the ascending aorta and 4.0% [-8.2, 16.2] % in the descending aorta, relative to synthetic ground truth.</p><p><strong>Conclusion: </strong>This work demonstrates that purely synthetic 4D flow MRI can be used to train neural networks for time-resolved aortic segmentation of in vivo 4D flow MRI data, enabling fully automatic inference and quantitative evaluation against fully defined ground truth.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"102735"},"PeriodicalIF":6.1,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147772607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Aortic displacement and hemodynamics are abnormal in patients with Marfan syndrome: a combined 4D bSSFP and 4D flow CMR study.","authors":"D Bosshardt, R Merton, A J Nederveen, R R J van Kimmenade, M G P J Cox, A J H A Scholte, E M Schrauben, D Robbers-Visser, M Groenink, P van Ooij","doi":"10.1016/j.jocmr.2026.102731","DOIUrl":"https://doi.org/10.1016/j.jocmr.2026.102731","url":null,"abstract":"<p><strong>Background: </strong>Marfan syndrome (MFS) patients with a history of aortic root surgery (ARS) are at increased risk of type B aortic dissection, possibly because the noncompliant graft fails to absorb systolic forces, leading to undampened flow in the proximal descending aorta (pDAo). In this study we investigated the magnitude and location of abnormal aortic displacement and wall shear stress (WSS) using cardiac magnetic resonance imaging (CMR).</p><p><strong>Methods: </strong>We examined 82 MFS patients (32 with ARS, 34±8 years, 36 women) and 45 age- and sex-matched controls, all undergoing 4D high resolution CINE and flow CMR. Peak displacement and WSS were calculated using automated aortic segmentations. Heatmaps were created to identify and quantify regions with abnormal displacement and WSS. The surface areas of abnormal displacement and WSS were quantified in four aortic regions. The Wilcoxon signed-rank test was used for comparison of abnormal CMR parameter quantification, and Pearson correlation was used to assess correlations between displacement and WSS.</p><p><strong>Results: </strong>WSS was higher in the proximal (p<0.001) and distal ascending aorta (p=0.031) of ARS MFS patients compared to native MFS patients. ARS MFS patients had significantly larger surface areas of decreased displacement (p<0.001; present in 97% of ARS MFS patients) and increased WSS (p<0.001; present in 100% of patients) in the proximal ascending aorta. There was a trend toward a larger surface area of increased displacement in the pDAo of ARS MFS patients (p=0.062; present in 72% of patients), mainly located in the outer pDAo. pDAo displacement was positively correlated with pDAo WSS (Pearson r=0.46 [95%CI: 0.13, 0.70], p=0.008).</p><p><strong>Conclusion: </strong>Aortic displacement and flow characteristics are abnormal in MFS patients, both with and without a history of aortic root surgery. ARS MFS patients exhibit distinct features in both the AAo and DAo, particularly in the proximal DAo, which is the region susceptible to type B aortic dissections.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"102731"},"PeriodicalIF":6.1,"publicationDate":"2026-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147772630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Feature Mapping of Native Oxygenation-Sensitive CMR Images for Classifying Cardiomyopathies.","authors":"Faezeh LotfiKazemi, Mitchel Benovoy, Michael Chetrit, Leila Haririsanati, Javad Rafiee, Judy M Luu, Matthias G Friedrich","doi":"10.1016/j.jocmr.2026.102734","DOIUrl":"https://doi.org/10.1016/j.jocmr.2026.102734","url":null,"abstract":"<p><p>Cardiovascular disease remains a leading global health concern, necessitating innovative needle-free diagnostic tools. This study explores the integration of oxygenation-sensitive cardiovascular magnetic resonance (OS-CMR) imaging with deep learning to classify myocardial pathology across four categories: ischemic (42 cases), non-ischemic (33 cases), inflammation/edema (47 cases), and healthy myocardium (68 cases). Following image preprocessing and augmentation, the model was trained and evaluated using a stratified 5-fold cross-validation with Monte Carlo Dropout and residual learning. The final model achieved class-specific AUC scores of 0.93 (healthy), 0.80 (ischemic), 0.89 (non-ischemic), and 0.96 (edema) on the test dataset. Beyond classification, the layer activation maps were visualized and compared with expert-defined regions on LGE and T2 maps as interpretability tools. AI-derived feature maps demonstrated spatial correspondence with expert-defined lesions (Dice values: 0.85 for transmural ischemia, 0.90 for subendocardial involvement, 0.83 and 0.93 for non-ischemic lesions in HCM and DCM, and 0.93 for global edema). These findings suggest that the OS-CMR contains latent phenotype-specific information that can be leveraged by deep learning to support diagnostic classification. This may also allow for a comprehensive, ultra-efficient and needle-free CMR workflows in the future.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"102734"},"PeriodicalIF":6.1,"publicationDate":"2026-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147772647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Radiomics-Based Approach with Automated Segmentation for Identifying Symptomatic Basilar Artery Plaques in Acute Stroke.","authors":"Jie Chen, Wenwen He, Long Yang, Xuetong Tao, Qian Li, Xiong Yang, Yufei Mao, Shengping Liu, Dong Liang, Xin Liu, Hairong Zheng, Shanshan Lu, Na Zhang","doi":"10.1016/j.jocmr.2026.102736","DOIUrl":"https://doi.org/10.1016/j.jocmr.2026.102736","url":null,"abstract":"<p><strong>Background: </strong>Intracranial atherosclerotic disease (ICAD) is a leading cause of ischemic stroke worldwide, with basilar artery atherosclerosis frequently involved. Despite therapeutic advances, patients with basilar artery atherosclerosis remain at substantial risk of recurrent stroke, highlighting the need for improved strategies to accurately identify symptomatic basilar artery plaques. In this study, we aimed to develop and validate a framework for identifying symptomatic basilar artery plaques by integrating MRI-based vessel wall segmentation with a tabular foundation model for quantitative plaque characterization.</p><p><strong>Methods: </strong>In this retrospective study, we analyzed 256 patients with basilar artery stenosis who underwent three-dimensional high-resolution vessel wall imaging (VWI) between May 2018 and November 2023. An automated convolutional neural network-based model (Vessel-SegNet) was applied to segment the basilar artery vessel wall on both pre-contrast VWI (preVWI) and contrast-enhanced VWI (ceVWI) images. Radiomics, morphological, and signal intensity features were subsequently extracted from the segmented vessel walls and used to train a Tabular Prior-Fitted Network (TabPFN) to identify symptomatic versus asymptomatic plaques. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and specificity.</p><p><strong>Results: </strong>The model based on traditional morphological and signal intensity features achieved an AUC of 0.784 (95% CI: 0.673-0.877) for distinguishing symptomatic basilar artery plaques from asymptomatic basilar artery plaques. In contrast, the radiomics-based model, incorporating features extracted from both preVWI and ceVWI, showed a significantly improved discriminative performance, with an AUC of 0.887 (95% CI: 0.798-0.955).</p><p><strong>Conclusion: </strong>The proposed framework, integrating automated vessel wall segmentation with a tabular foundation model, enables accurate identification of symptomatic basilar artery plaques. This approach provides a scalable and objective tool that may support risk stratification and inform treatment planning in patients with ICAD.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"102736"},"PeriodicalIF":6.1,"publicationDate":"2026-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147729017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}