Journal of Cardiovascular Magnetic Resonance最新文献

{"title":"Temporal Trends and Geographic Accessibility to Cardiac Magnetic Resonance (CMR) Readers Across the United States: An Analysis of Medicare Part B Data.","authors":"Ahmad El Yaman, Ahmed Sayed, Maria Alwan, Asim Shaikh, Mahmoud Al Rifai, Maan Malahfji, Dipan J Shah, Ibrahim M Saeed, Chiara Bucciarelli-Ducci, Mouaz H Al-Mallah","doi":"10.1016/j.jocmr.2025.101921","DOIUrl":"https://doi.org/10.1016/j.jocmr.2025.101921","url":null,"abstract":"<p><strong>Background: </strong>Cardiac Magnetic Resonance (CMR) has a growing role in the diagnosis and management of cardiac disease. However, there is little recent data on the availability of CMR physicians (readers) in the US.</p><p><strong>Objective: </strong>To demonstrate the geographic proximity and accessibility of patients to CMR services and CMR physicians across the US.</p><p><strong>Methods: </strong>Using Medicare Part B data in 2022, we analyzed the number and characteristics of CMR readers, their geographical location, and the volume of CMR scans between 2013 and 2022. CMR procedure types were identified using HCSPC codes 75557, 75559, 75561, and 75563.</p><p><strong>Results: </strong>Among Medicare Beneficiaries in 2022, there were 48,622 CMR scans, up from 17,944 in 2013 (170.9% increase). The lowest scans and reader density were in West Virginia (125.8 procedures and 2.2 readers per million beneficiaries respectively) and the highest in the District of Columbia (4,566.5 procedures and 52.9 readers per million beneficiaries respectively). No CMR scans were billed in Puerto Rico. Among states and territories that billed for CMR, 50.8 million US citizens were located more than 50 miles from CMR readers and 18.1 million were located more than 100 miles away. Out of 991 readers, 51.9% were radiologists and 48.1% were cardiologists. The median number of scans interpreted by cardiologists was higher than radiologists across all graduation year intervals, and male and female readers interpreted a similar median number of scans. The relative proportion of female readers increased markedly when assessing physicians who graduated after 2010.</p><p><strong>Conclusion: </strong>This study highlights significant geographic disparities and barriers to accessing CMR in the US.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"101921"},"PeriodicalIF":4.2,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144248030","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":"MEAsUREMENT of myocardial blood flow in atrial fibrillation USING high-resolution, free-breathing IN-LINE quantitative cardiovascular magnetic resonance.","authors":"Richard J Crawley, Karl-Philipp Kunze, Anmol Kaushal Mbbs, Xenios Milidonis, Jack Highton, Blanca Domenech-Ximenos, Irum D Kotadia, Çan Karamanli, Nathan C K Wong, Robbie Murphy Mbbs, Ebraham Alskaf, Radhouene Neji, Mark O'Neill, Steven E Williams, Cian M Scannell, Sven Plein, Amedeo Chiribiri","doi":"10.1016/j.jocmr.2025.101917","DOIUrl":"https://doi.org/10.1016/j.jocmr.2025.101917","url":null,"abstract":"<p><strong>Background: </strong>Stress perfusion cardiovascular magnetic resonance (CMR) in the presence of atrial fibrillation (AF) has long been challenging due to electrocardiogram (ECG) mis-triggering. However, non-invasive ischaemia imaging is important due to an increased risk of myocardial infarction in patients with AF, which has been attributed to underlying microvascular dysfunction. Myocardial blood flow (MBF) in patients with AF is poorly understood, and few studies have attempted to quantify this through non-invasive imaging.</p><p><strong>Objectives: </strong>This study used high-resolution free-breathing fully-automated quantitative perfusion CMR to assess the feasibility in patients with AF and investigate whether MBF differed compared to those in sinus rhythm.</p><p><strong>Methods: </strong>Patients were recruited for stress perfusion CMR using a research sequence at 3-Tesla. Image acquisition occurred during both vasodilator-induced hyperaemia and at rest. Stress and rest MBF maps were automatically generated. Analysis of perfusion maps included assessment of myocardial perfusion reserve (MPR) and endocardial-to-epicardial MBF ratios.</p><p><strong>Results: </strong>442 patients were analysed; 63 of whom had a history of AF and were in AF during the scan. Both MBF during hyperaemia (stress MBF) and MPR were reduced in patients with AF compared to those in sinus rhythm (median stress MBF 1.85 [1.52-2.243] vs. 2.35 [1.98-2.77] ml/min/g, p<0.001; median MPR 1.95 [1.62-2.19] vs. 2.37 [2.05-2.80], p<0.001). No significant difference was seen between the two groups at rest (p=0.451). When considering co-factors affecting MBF, multivariate linear regression analysis identified the presence of AF as a significant independent contributor to stress MBF and MPR values. Both endocardial and epicardial stress MBF and MPR were reduced in AF compared with sinus rhythm (both p<0.001) and endocardial/epicardial ratios were similar between the groups.</p><p><strong>Conclusion: </strong>Automated quantitative MBF assessment can be performed in patients with AF. At hyperaemia, MBF is reduced in AF compared to sinus rhythm.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"101917"},"PeriodicalIF":4.2,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144248076","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":"Three-Dimensional joint bright, gray and black blood MR imaging technique for multi-parametric imaging of carotid artery: A feasibility and repeatability study.","authors":"Ning Xu, Shuo Chen, Ziming Xu, Zihan Ning, Shuwan Yu, Guimei Liu, Tao Wang, Yanbo Ma, Xiaomei Sun, Xiufeng Meng, Yazheng Chen, Jiachen Liu, Qinxin Wang, Huiyu Qiao, Xihai Zhao","doi":"10.1016/j.jocmr.2025.101918","DOIUrl":"https://doi.org/10.1016/j.jocmr.2025.101918","url":null,"abstract":"<p><strong>Background: </strong>Multi-parametric imaging of the carotid artery enables quantitative characterization of vulnerable atherosclerotic plaques, which is crucial for preventing ischemic stroke. However, the existing sequential acquisition based multi-parametric imaging techniques of carotid artery lack bright blood imaging, which is essential for plaque components identification and boundary delineation. This study aims to develop a joint bright, gray and black blood imaging technique for carotid artery multi-parametric imaging and validate its accuracy and feasibility.</p><p><strong>Methods: </strong>The proposed technique incorporated variable flip angles, variable duration of improved motion-sensitized driven equilibrium prepulse and variable time of echo mapping strategies with 3D multi-shot SPGR acquisition, generating T1, T2 and T2* maps. Bright, gray and black blood images were sequentially acquired in six scans covering the entire extracranial artery with isotropic resolution (0.7mm) when natural inflow blood enhancement and imposed blood suppression module were alternatively performed. A B1 specific dictionary was simulated and matched to the measured signal for T1 and T2 estimation while least square fitting was applied for T2* estimation. The proposed technique was compared against reference sequences and validated on healthy volunteers (n=8), and patients (n=4) with carotid atherosclerotic plaques.</p><p><strong>Results: </strong>The proposed technique achieved an agreement of R² = 0.99 in T1, T2, and T2 measurements with standard sequences in phantom study. In healthy volunteer study, the proposed technique reached high intra-class correlation coefficients (ICC: 0.906-0.956) with reference sequences in measuring T1, T2 and T2* of cervical muscle, but overestimation and underestimation were observed in T1 (against MOLLI, bias = 4.8%) and T2 (against multi-echo turbo field echo sequence, bias = -3.3%), respectively. No significant difference was found in the measurement of morphology and quantitative parameters between scan and rescan, while excellent intra- (ICC: 0.804-0.999) and inter-observer (ICC: 0.816-0.982) repeatability was reached. In patient study, the proposed technique demonstrated reliable performance in analyzing vascular morphology and characterizing plaque components with distinctive signal characteristics and quantitative values.</p><p><strong>Conclusion: </strong>The proposed technique enables joint bright, gray and black blood imaging technique for carotid artery multi-parametric imaging with large coverage and isotropic resolution, indicating clinical potential for comprehensive characterization of carotid vulnerable plaque.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"101918"},"PeriodicalIF":4.2,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144234243","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":"Diagnostic Utility of the Revised Lake Louise Criteria in Myocarditis Associated with Active Autoimmune Rheumatic Disease.","authors":"Alina Hua, Blanca Domenech-Ximenos, Begona Lopez, Giovanni Sanna, Amedeo Chiribiri, Ronak Rajani, Michael Marber, David D'Cruz, Michelle Fernando, Tevfik F Ismail","doi":"10.1016/j.jocmr.2025.101916","DOIUrl":"https://doi.org/10.1016/j.jocmr.2025.101916","url":null,"abstract":"<p><strong>Background: </strong>Cardiovascular magnetic resonance (CMR) is the principal non-invasive imaging modality used to diagnose idiopathic/viral myocarditis. The revised Lake Louise criteria (LLC) stipulate that a diagnosis can be made in the presence of one T1-based and one T2-based criterion. While the LLC have been extensively validated in viral myocarditis, their utility for the diagnosis of myocarditis due to an active autoimmune rheumatic disease is unknown. This study sought to assess the performance of the revised LLC in patients with clinically suspected myocarditis due to active systemic autoimmune disease.</p><p><strong>Methods: </strong>Patients with clinically active autoimmune rheumatic disease, symptoms of myocarditis, and elevated troponin levels were recruited and compared with controls with autoimmune rheumatic disease but no suspicion of autoimmune myocarditis. All patients underwent CMR at 1.5T including T1 and T2 mapping.</p><p><strong>Results: </strong>Thirty-seven patients with suspected myocarditis due to an active autoimmune rheumatic disease were recruited with a median (interquartile [IQR]) troponin level of 121ng/L (72-318ng/L). Overall, 24 (65%) patients met either of the two revised LLC resulting in a sensitivity (95% confidence interval) of 65% (49-78%) and specificity of 76% (57-89%). Only 12 (32%) patients fulfilled both of the main LLC (i.e., non-ischemic myocardial injury/edema with elevated T1 values or presence of late gadolinium enhancement and myocardial edema detected by increased T2 values or positive T2-STIR), resulting in a sensitivity of 32% (20-49%) and specificity of 100% (87-100%). Among controls, 6 (24%) patients had elevated native T1 values, but all had normal T2.</p><p><strong>Conclusions: </strong>In patients with suspected myocarditis due to autoimmune rheumatic disease, who are receiving immunosuppressive therapy, the Lake Louise Criteria have a high specificity, but a lower sensitivity than in patients with viral myocarditis. Additional tests should therefore be used to improve disease detection in this population. Where the pre-test probability is high, in patients with suspected myocarditis due to autoimmune rheumatic disease who are undergoing immunosuppression, there may need to be greater reliance on one T1-based criterion rather than both LLC, with the recognition that there is an appreciable rate of raised T1 in controls without myocarditis.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"101916"},"PeriodicalIF":4.2,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144225564","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":"Relationships between Heart Shape, Function and Disease in 38,858 UK Biobank Participants.","authors":"Richard Burns, Laura Dal Toso, Charlène A Mauger, Alireza Sojoudi, Avan Suinesiaputra, Steffen E Petersen, Julia Ramírez, Patricia B Munroe, Alistair A Young","doi":"10.1016/j.jocmr.2025.101919","DOIUrl":"https://doi.org/10.1016/j.jocmr.2025.101919","url":null,"abstract":"<p><strong>Background: </strong>Cardiac functional metrics such as ejection fraction, strain and valve excursion are important diagnostic and prognostic measures of cardiac disease. However, they ignore a large amount of systolic shape change information available from modern cardiovascular magnetic resonance (CMR) examinations.</p><p><strong>Objectives: </strong>We aimed to automatically quantify multidimensional shape and motion scores from CMR, investigate covariates, and test their discrimination of disease in the UK Biobank compared against standard functional metrics.</p><p><strong>Methods: </strong>An automated analysis pipeline was used to obtain quality controlled 3D left and right ventricular shape models in 38,858 UK Biobank participants, 5,149 of whom had one or more diagnoses of cardiovascular or cardiometabolic disease. Principal component analysis was used to obtain a statistical shape atlas and quantify each participant's left and right ventricular shape at both end-diastole and end-systole simultaneously. Systolic strain was obtained from arc length changes computed from the shape model, and mitral/tricuspid annular plane systolic excursion (MAPSE/TAPSE) was computed from the displacement of the valves. Discrimination for prevalent disease was quantified using linear discriminant analysis area under the receiver operating characteristic curve.</p><p><strong>Results: </strong>The first 25 principal component scores captured >90% of the total shape variance. Significantly stronger discrimination for atrial fibrillation, heart failure, diabetes, ischaemic disease, and conduction disorders (p<0.001 for each) was obtained using shape scores compared with volumes, ejection fractions, strains, MAPSE and TAPSE.</p><p><strong>Conclusions: </strong>Automatically derived shape and motion z-scores capture more discriminative information on disease effects than standard metrics, including volumes, ejection fraction, strain and valve excursions.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"101919"},"PeriodicalIF":4.2,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144225566","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":"Referenceless 4D Flow Cardiovascular Magnetic Resonance with deep learning.","authors":"Chiara Trenti, Erik Ylipää, Tino Ebbers, Carl-Johan Carlhäll, Jan Engvall, Petter Dyverfeldt","doi":"10.1016/j.jocmr.2025.101920","DOIUrl":"https://doi.org/10.1016/j.jocmr.2025.101920","url":null,"abstract":"<p><strong>Background: </strong>Despite its potential to improve the assessment of cardiovascular diseases, 4D Flow CMR is hampered by long scan times. 4D Flow CMR is conventionally acquired with three motion encodings and one reference encoding, as the 3-dimensional velocity data are obtained by subtracting the phase of the reference from the phase of the motion encodings. In this study, we aim to use deep learning to predict the reference encoding from the three motion encodings for cardiovascular 4D Flow.</p><p><strong>Methods: </strong>A U-Net was trained with adversarial learning (U-Net_ADV) and with a velocity frequency-weighted loss function (U-Net_VEL) to predict the reference encoding from the three motion encodings obtained with a non-symmetric velocity-encoding scheme. Whole-heart 4D Flow datasets from 126 patients with different types of cardiomyopathies were retrospectively included. The models were trained on 113 patients with a 5-fold cross-validation, and tested on 13 patients. Flow volumes in the aorta and pulmonary artery, mean and maximum velocity, total and maximum turbulent kinetic energy at peak systole in the cardiac chambers and main vessels were assessed.</p><p><strong>Results: </strong>3-dimensional velocity data reconstructed with the reference encoding predicted by deep learning agreed well with the velocities obtained with the reference encoding acquired at the scanner for both models. U-Net_ADV performed more consistently throughout the cardiac cycle and across the test subjects, while U-Net_VEL performed better for systolic velocities. Comprehensively, the largest error for flow volumes, maximum and mean velocities was -6.031% for maximum velocities in the right ventricle for the U-Net_ADV, and -6.92% for mean velocities in the right ventricle for U-Net_VEL. For total turbulent kinetic energy, the highest errors were in the left ventricle (-77.17%) for the U-Net_ADV, and in the right ventricle (24.96%) for the U-Net_VEL, while for maximum turbulent kinetic energy were in the pulmonary artery for both models, with a value of -15.5% for U-Net_ADV and 15.38% for the U-Net_VEL.</p><p><strong>Conclusion: </strong>Deep learning-enabled referenceless 4D Flow CMR permits velocities and flow volumes quantification comparable to conventional 4D Flow. Omitting the reference encoding reduces the amount of acquired data by 25%, thus allowing shorter scan times or improved resolution, which is valuable for utilization in the clinical routine.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"101920"},"PeriodicalIF":4.2,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144225565","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":"Highlights of the Cardiovascular Magnetic Resonance 2024 Conference: the first joint European Association of Cardiovascular Imaging, European Society of Cardiovascular Radiology, and Society for Cardiovascular Magnetic Resonance conference.","authors":"Jadranka Stojanovska, Robin Nijveldt, Karen Ordovas, Rozemarijn Vliegenthart, Nicole Seiberlich, Claudia Prieto, Vineeta Ojha, Kate Hanneman, Benny Lawton, Marina Hughes, Vanessa Ferreira, John Grizzard, Luigi Natale, Daniel Kim, Chiara Bucciarelli-Ducci, Steffen Petersen, Thomas A Treibel","doi":"10.1016/j.jocmr.2025.101848","DOIUrl":"10.1016/j.jocmr.2025.101848","url":null,"abstract":"<p><p>Cardiovascular Magnetic Resonance 2024 Conference (CMR2024) convened in London, UK, from 24 to 26 January 2024 and brought together 2705 learners and renowned cardiac imaging professionals to discuss and learn about the latest advancements. Organized by the Society for Cardiovascular Magnetic Resonance (SCMR) and the European Association of Cardiovascular Imaging (EACVI), in collaboration with the European Society of Cardiovascular Radiology (ESCR), CMR2024 was the largest international cardiac magnetic resonance conference to date. This conference underscored the collaboration between cardiologists, radiologists, scientists, and technologists by bringing together three major societies-SCMR, EACVI, and ESCR. Innovative session formats like 'Shark Tank' and 'Workflow, Innovations & Patients' facilitated expert opinion and practical experiences sharing in a 'TED-talk style'. With over 1168 abstract submissions and 75% acceptance rate, the programme featured multiple Early Career Award sessions, oral scientific sessions, oral case sessions, and rapid-fire sessions, all categorized by topic. Highlights included patient- and physician-centred imaging sessions, sharing referring physicians' and patients' insights of incremental value of cardiovascular magnetic resonance (CMR) in patient's management. The programme offered invited lectures in eight parallel tracks with three plenary and two keynote speakers. In addition, the interactive workshops and panel discussions provided a platform for knowledge exchange, support, and collaboration. A great emphasis was placed on collaboration between radiologists, cardiologists, scientists, and technologists, showcasing an ideal cardiac imaging marriage as a model for enhanced patient care around the globe. The event also featured exhibitions of the latest CMR technology and software, offering attendees a glimpse into the future cardiac imaging. CMR2024 emerged as a remarkable scientific, educational, and networking event, in-spiring attendees to learn and collaborate within the global CMR community.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"101848"},"PeriodicalIF":4.2,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12182811/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143414113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Wide variation in shape of hypoplastic left ventricles undergoing recruitment and biventricular repair: A statistical shape modeling study.","authors":"Isabel R Barnet, Noah E Schulz, Sunil J Ghelani, David M Hoganson, Eric N Feins, Peter E Hammer, Sitaram M Emani, Lynn A Sleeper, Rebecca S Beroukhim","doi":"10.1016/j.jocmr.2024.101131","DOIUrl":"10.1016/j.jocmr.2024.101131","url":null,"abstract":"<p><strong>Background: </strong>Patients with hypoplastic left ventricles (LV) who undergo volume-loading procedures (recruitment, biventricular [BIV] repair) are at risk for adverse outcomes, including heart failure and death. We investigated pre-BIV LV shape as a predictor of outcome after BIV repair in patients with hypoplastic LVs.</p><p><strong>Methods: </strong>Baseline and post-recruitment cardiac magnetic resonance imaging and computed tomography data were analyzed in patients with hypoplastic LV (<50 mL/m²). Statistical shape modeling (SSM) was utilized to generate a model of the shape and variability of LVs. Traditional measures of LV sphericity and eccentricity were also measured. Major adverse cardiovascular events (MACE) included heart failure, transplant, and death.</p><p><strong>Results: </strong>Of 95 patients with baseline mean LV volume 29 ± 13 mL/m², 45/95 (47%) had a right dominant atrioventricular canal defect, 31/95 (33%) had a variant of hypoplastic left heart syndrome, and 18/95 (19%) had endocardial fibroelastosis (EFE). A wide variation in LV shape was found by SSM, and shape modes were associated with right ventricle (RV) and LV size, and diagnosis. BIV repair was achieved in 74/95 (78%) patients; 13/74 (18%) of BIV patients had MACE. Predictors of MACE following BIV repair included EFE, higher RV mass index, and higher RV end-diastolic volume index. No baseline or post-recruitment LV shape parameter was associated with the outcome after BIV repair.</p><p><strong>Conclusion: </strong>The shape model of hypoplastic LVs demonstrated a wide array of LV shapes. LVs gained sphericity and size and lost eccentricity with recruitment. Though the ventricles changed shape with recruitment, no specific LV shape characteristic at the baseline or post-recruitment stage was predictive of decision to proceed with BIV repair or outcome. Higher RV mass and volume may represent new biomarkers that predict outcomes following BIV repair in patients with hypoplastic LV. Further investigation could determine the reproducibility of these findings.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"101131"},"PeriodicalIF":4.2,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11780089/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142794766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mean pulmonary artery pressure prediction with explainable multi-view cardiovascular magnetic resonance cine series deep learning model.","authors":"Li-Hsin Cheng, Xiaowu Sun, Charlie Elliot, Robin Condliffe, David G Kiely, Samer Alabed, Andrew J Swift, Rob J van der Geest","doi":"10.1016/j.jocmr.2024.101133","DOIUrl":"10.1016/j.jocmr.2024.101133","url":null,"abstract":"<p><strong>Background: </strong>Pulmonary hypertension (PH) is a heterogeneous condition and regardless of etiology impacts negatively on survival. Diagnosis of PH is based on hemodynamic parameters measured invasively at right heart catheterization (RHC); however, a non-invasive alternative would be clinically valuable. Our aim was to estimate RHC parameters non-invasively from cardiac magnetic resonance (MR) data using deep learning models and to identify key contributing imaging features.</p><p><strong>Methods: </strong>We constructed an explainable convolutional neural network (CNN) taking cardiac MR cine series from four different views as input to predict mean pulmonary artery pressure (mPAP). The model was trained and evaluated on 1646 examinations. The model's attention weight and predictive performance associated with each frame, view, or phase were used to judge its importance. Additionally, the importance of each cardiac chamber was inferred by perturbing part of the input pixels.</p><p><strong>Results: </strong>The model achieved a Pearson correlation coefficient of 0.80 and R² of 0.64 in predicting mPAP and identified the right ventricle region on short-axis view to be especially informative.</p><p><strong>Conclusion: </strong>Hemodynamic parameters can be estimated non-invasively with a CNN, using MR cine series from four views, revealing key contributing features at the same time.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"101133"},"PeriodicalIF":4.2,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11782807/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142791832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cardiovascular magnetic resonance in patients with mitral valve prolapse.","authors":"Stefano Figliozzi, Silvana Di Maio, Georgios Georgiopoulos, Bert Vandenberk, Amedeo Chiribiri, Marco Francone, Nay Aung, Steffen E Petersen, Tim Leiner, Jan Bogaert, Pier-Giorgio Masci","doi":"10.1016/j.jocmr.2024.101137","DOIUrl":"10.1016/j.jocmr.2024.101137","url":null,"abstract":"<p><p>With a prevalence of 2-3% in the general population, mitral valve prolapse (MVP) is the most common valvular heart disease. The clinical course is benign in the majority of patients, although severe mitral regurgitation, heart failure, and sudden cardiac death affect a non-negligible subset of patients. Imaging of MVP was confined to echocardiography until a few years ago when it became apparent that cardiovascular magnetic resonance (CMR) could offer comparative advantages for detecting and quantifying mitral valve abnormalities alongside tissue myocardial characterization. The present review highlights the growing body of evidence supporting the role of CMR in patients with MVP. Based on the recent literature, CMR appears not as a simple alternative to echocardiography in patients with poor acoustic windows, but as a complementary imaging modality instrumental for better quantifying mitral valve abnormalities, mitral regurgitation severity, ventricular remodeling, and myocardial tissue changes. In this respect, pivotal CMR studies highlight that mitral annular disjunction and myocardial fibrosis by late gadolinium enhancement are associated with a heightened risk of life-threatening ventricular arrhythmias (arrhythmic MVP). We also delineate how these and other markers (e.g., the severity of mitral regurgitation) could enable a personalized risk assessment in patients with MVP and implement clinical decision-making. Here, we provide a comprehensive review of the current literature, with an emphasis on the arrhythmic MVP phenotype. The review also provides some practical suggestions on how to carry out a dedicated CMR protocol in MVP and composes a thorough report to inform clinicians on key aspects of this valvular heart disease.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"101137"},"PeriodicalIF":4.2,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11786644/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142894942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}