Weiwei Wang, Longyan Zhang, Guangzong Su, Feng Xiong, Yang Wu, Ke Yu, Qiaodan Yi, Peng Sun
{"title":"Optimization of the acceleration of compressed sensing in whole-heart contrast-free coronary magnetic resonance angiography.","authors":"Weiwei Wang, Longyan Zhang, Guangzong Su, Feng Xiong, Yang Wu, Ke Yu, Qiaodan Yi, Peng Sun","doi":"10.1016/j.jocmr.2025.101845","DOIUrl":"10.1016/j.jocmr.2025.101845","url":null,"abstract":"<p><strong>Background: </strong>This study aims to identify optimal acceleration factors (AFs) for compressed sensing (CS) technology to enhance its clinical application for suspected coronary artery disease (CAD) in whole-heart non-contrast coronary magnetic resonance angiography (CMRA).</p><p><strong>Methods: </strong>Two hundred and seventeen individuals with suspected CAD underwent whole-heart non-contrast CMRA on a 1.5T CMR scanner with CS AFs of 2, 4, and 6 (CS2, CS4, and CS6). Two radiologists independently and blindly scored the image quality. The overall image scores, coronary artery segment scores, signal-to-noise ratios (SNR), contrast-to-noise ratios (CNR), and scan times were compared. The scores for the left anterior descending coronary artery (LAD), left circumflex coronary artery (LCX), and right coronary artery (RCA) were assessed. Of the 217 patients, 37 (37/217, 17.1%) underwent x-ray coronary angiography (CAG). The images from CS2, CS4, and CS6 were evaluated by two radiologists blinded to CAG results to identify significant luminal narrowing. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy were calculated.</p><p><strong>Results: </strong>The CS2 group exhibited higher overall scores, coronary artery segment scores, SNR, and CNR, but longer scan times compared to the CS4 and CS6 groups (overall score: 24.5 vs 22.0 vs 21.0, p < 0.001; SNR: 127 vs 112 vs 99, p < 0.001; CNRcor-fat: 118 vs 101 vs 84, p < 0.001; CNRcor-myo: 69.7 vs 62.8 vs 53.5, p < 0.001; scan time: 884 ± 308 s vs 473 ± 163 s vs 331 ± 146 s, p < 0.001). Proximal and middle segments received higher scores compared to their corresponding distal segments, and the RCA exhibited higher image quality than LAD and LCX in all groups (p < 0.05). In the subgroup analysis, 19 (19/37, 51.3%) were diagnosed with CAD by CAG. The sensitivity, specificity, PPV, NPV, and accuracy were as follows: CS2 (94.7%, 88.9%, 90.0%, 94.1%, and 91.9%), CS4 (89.5%, 94.4%, 94.4%, 89.5%, and 91.9%), and CS6 (89.5%, 66.7%, 73.9%, 85.7%, and 78.4%), respectively, in patient-based analysis.</p><p><strong>Conclusion: </strong>Image quality showed a decreasing trend with increasing CS AFs, while scan time decreased in non-contrast CMRA. A scanning protocol using CS4 provided high-quality images with relatively short scan times and showed potential for detecting significant coronary stenosis, making it an optimal protocol for coronary magnetic resonance imaging.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"101845"},"PeriodicalIF":4.2,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11870249/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143046863","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}
Johanna Kuhnt, Edyta Blaszczyk, Leo Dyke Krüger, Leonhard Grassow, Claudia Prieto, René Botnar, Karl Philipp Kunze, Michaela Schmidt, Darian Steven Viezzer, Thomas Hadler, Maxmilian Fenski, Jeanette Schulz-Menger
{"title":"Analysis of confounders of the image quality of a high-resolution isotropic three-dimensional Dixon water-fat late gadolinium enhancement technique.","authors":"Johanna Kuhnt, Edyta Blaszczyk, Leo Dyke Krüger, Leonhard Grassow, Claudia Prieto, René Botnar, Karl Philipp Kunze, Michaela Schmidt, Darian Steven Viezzer, Thomas Hadler, Maxmilian Fenski, Jeanette Schulz-Menger","doi":"10.1016/j.jocmr.2025.101872","DOIUrl":"10.1016/j.jocmr.2025.101872","url":null,"abstract":"<p><strong>Background: </strong>Three-dimensional (3D) water-fat separated late gadolinium enhancement (LGE) imaging is a cardiovascular magnetic resonance imaging technique allowing simultaneous assessment of and discrimination between cardiac fibrosis and myocardial fatty infiltration. The aim of this study is to systematically analyze the image quality of a 3D water-fat separated LGE research sequence and identify confounders of image quality METHODS: In total, 126 patients and 12 healthy volunteers were included. Patients were included with inflammatory bowel disease (n=35), muscular dystrophy (n=38), hypertrophic cardiomyopathy (n=23) and paroxysmal atrial fibrillation (n=30). 3D water-fat separated LGE images were acquired at 1.5T (n=122) or 3T (n=16). Image quality was subjectively rated (4-point Likert scale) in six categories (overall image quality [OV], blood-myocardium border sharpness, LGE-remote/healthy myocardium border sharpness, fat suppression, myocardial nulling [MN], anatomical structures [AS]), additionally, the contrast ratio was calculated. Cardiac function, acquisition conditions, and demographic data were investigated as potential confounders for image quality and contrast ratio.</p><p><strong>Results: </strong>Fat suppression had the highest quality score (2.54±0.72), followed by AS (2.11±0.94) and MN (2.01±0.78). In total, 18 parameters showed a significant correlation with multiple image quality categories, most of which related to cardiac function, such as the cardiac index, which significantly correlated with OV (Wald Chi-squared=4.35; p<0.05), LGE-remote/healthy myocardium border sharpness (Wald Chi-squared=5.03; p<0.05), and AS (Wald Chi-square=16.00; p<0.001). Left ventricular mass index to height showed significant correlation with OV (Wald Chi-squared=7.57; p<0.01), blood-myocardium border sharpness (Wald Chi-squared=7.35; p<0.01), and contrast ratio (Wald Chi-squared=5.50; p<0.05). Furthermore, demographic parameters, such as body mass index (BMI), were identified as significant confounders, showing a notable correlation between BMI and the depiction of AS. (Wald Chi-square=11.14; p<0.01).</p><p><strong>Conclusion: </strong>In this study, 3D water-fat separated LGE imaging shows satifactory image quality, especially for water-fat separation. However, image quality may be affected by several other parameters such as patient obesity, high myocardial mass, and cardiac function. Trial Registration: 3000339.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"101872"},"PeriodicalIF":4.2,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12053718/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143567227","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}
Stefano Buoso, Christian T Stoeck, Sebastian Kozerke
{"title":"Automatic analysis of three-dimensional cardiac tagged magnetic resonance images using neural networks trained on synthetic data.","authors":"Stefano Buoso, Christian T Stoeck, Sebastian Kozerke","doi":"10.1016/j.jocmr.2025.101869","DOIUrl":"10.1016/j.jocmr.2025.101869","url":null,"abstract":"<p><strong>Background: </strong>Three-dimensional (3D) tagged magnetic resonance (MR) imaging enables in-vivo quantification of cardiac motion. While deep learning methods have been developed to analyze these images, they have been restricted to two-dimensional datasets. We present a deep learning approach specifically designed for displacement analysis of 3D cardiac tagged MR images.</p><p><strong>Methods: </strong>We developed two neural networks to predict left-ventricular motion throughout the cardiac cycle. Networks were trained using synthetic 3D tagged MR images, generated by combining a biophysical left-ventricular model with an analytical MR signal model. Network performance was initially validated on synthetic data, including assessment of signal-to-noise ratio sensitivity. The networks were then retrospectively evaluated on an in-vivo external validation human dataset and an in-vivo porcine study.</p><p><strong>Results: </strong>For the external validation dataset, predicted displacements deviated from manual tracking by median (interquartile range) values of 0.72 (1.17), 0.81 (1.64), and 1.12 (4.17) mm in x, y, and z directions, respectively. In the porcine dataset, strain measurements showed median (interquartile range) differences from manual annotations of 0.01 (0.04), 0.01 (0.06), and -0.01 (0.18) for circumferential, longitudinal, and radial components, respectively. These strain values are within physiological ranges and demonstrate superior performance of the network approach compared to existing 3D tagged image analysis methods.</p><p><strong>Conclusion: </strong>The method enables rapid analysis times of approximately 10 s per cardiac phase, making it suitable for large cohort investigations.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"101869"},"PeriodicalIF":4.2,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12049999/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143531477","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}
Claudia Prieto, Mahmud Mossa-Basha, Anthony Christodoulou, Calder D Sheagren, Yin Guo, Aleksandra Radjenovic, Xihai Zhao, Jeremy D Collins, René M Botnar, Oliver Wieben
{"title":"Highlights of the society for magnetic resonance angiography 2024 conference.","authors":"Claudia Prieto, Mahmud Mossa-Basha, Anthony Christodoulou, Calder D Sheagren, Yin Guo, Aleksandra Radjenovic, Xihai Zhao, Jeremy D Collins, René M Botnar, Oliver Wieben","doi":"10.1016/j.jocmr.2025.101878","DOIUrl":"10.1016/j.jocmr.2025.101878","url":null,"abstract":"<p><p>The 36th Annual International Meeting of the Society for Magnetic Resonance Angiography (SMRA), held from November 12-15, 2024, in Santiago de Chile, marked a milestone as the first SMRA conference in Latin America. Themed \"The Ever-Changing Landscape of MRA\", the event highlighted the rapid advancements in magnetic resonance angiography (MRA), including cutting-edge developments in contrast-enhanced MRA, contrast-free techniques, dynamic, multi-parametric, and multi-contrast MRA, 4D flow, low-field solutions and artificial intelligence (AI)-driven technologies, among others. The program featured 174 attendees from 15 countries, including 43 early-career scientists and 30 industry representatives. The conference offered a rich scientific agenda, with 12 plenary talks, 24 educational talks, 98 abstract presentations, a joint SMRA-MICCAI challenge on intracranial artery lesion detection and segmentation and a joint session with the Society for Cardiovascular Magnetic Resonance (SCMR) emphasizing accessibility, low-field MRI, and AI's transformative role in cardiac imaging. The meeting's single-track format fostered engaging discussions on interdisciplinary research and highlighted innovations spanning various vascular beds. This paper summarizes the conference's key themes, emphasizing the collaborative efforts driving the future of MRA, while reflecting on SMRA's vision to advance research, education, and clinical practice globally.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"101878"},"PeriodicalIF":4.2,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12123343/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143630506","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}
Reza Hajhosseiny, Adam Hartley, Graham Cole, Camilla Munoz, Amarjit Sethi, Rasha Al-Lamee, Saud Khawaja, Sameer Zaman, James Howard, Deepa Gopalan, Ben Ariff, Raffi Kaprielian, Radhouene Neji, Karl P Kunze, Amit Kaura, Claudia Prieto, Ramzi Khamis, René M Botnar
{"title":"Free-breathing, non-contrast, three-dimensional whole-heart coronary magnetic resonance imaging for the identification of culprit and vulnerable atherosclerotic plaque.","authors":"Reza Hajhosseiny, Adam Hartley, Graham Cole, Camilla Munoz, Amarjit Sethi, Rasha Al-Lamee, Saud Khawaja, Sameer Zaman, James Howard, Deepa Gopalan, Ben Ariff, Raffi Kaprielian, Radhouene Neji, Karl P Kunze, Amit Kaura, Claudia Prieto, Ramzi Khamis, René M Botnar","doi":"10.1016/j.jocmr.2025.101898","DOIUrl":"10.1016/j.jocmr.2025.101898","url":null,"abstract":"<p><strong>Background: </strong>Detection of vulnerable coronary plaque can predict future myocardial infarctions. We have developed a novel, non-contrast cardiovascular magnetic resonance sequence (iT2prep-BOOST), enabling simultaneous, co-registered coronary angiography and plaque detection.</p><p><strong>Objectives: </strong>To validate iT2prep-BOOST in patients with non-ST-segment elevation myocardial infarction (NSTEMI).</p><p><strong>Methods: </strong>41 patients with suspected NSTEMI were recruited. Invasive coronary angiography ± intravascular imaging was used to classify coronary segments into the following categories: normal, non-culprit and culprit segments; stenosed segments as well as segments with vulnerable plaque features (lipid, calcium, fibroatheroma, thin cap fibroatheroma (TCFA), plaque-rupture and thrombus). The plaque/myocardial signal intensity ratio (PMR) in each coronary segment was analyzed on iT2prep-BOOST.</p><p><strong>Results: </strong>The mean ± standard deviation PMR of culprit segments was significantly higher than non-culprit segments and normal segments (1.01±0.14 vs. 0.67±0.18 vs. 0.35±0.24, P<0.001, respectively). Coronary segments with lipid, calcium, and fibroatheroma had a significantly higher PMR compared to normal coronary segments (P<0.001), but significantly lower than segments with plaque-rupture and intraluminal thrombus (P<0.05). There was a progressive increase in PMR with increasing coronary segment stenosis (P<0.001). There was a significant association on multivariable analysis between HbA1c as well as family history of coronary artery disease and mean PMR (P=0.05 and P=0.04, respectively).</p><p><strong>Conclusion: </strong>iT2prep-BOOST has the potential to simultaneously visualize coronary artery lumen and plaque and differentiate normal segments from non-culprit and culprit plaque segments non-invasively and without contrast. The prognostic value of PMR needs to be investigated in a prospective multicenter study.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":"27 1","pages":"101898"},"PeriodicalIF":4.2,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12135368/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144025722","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}
Calder D Sheagren, Naseem Shadafny, Terenz Escartin, Maria Terricabras, Christopher C Cheung, Idan Roifman, Graham A Wright
{"title":"Cardiac function evaluation in healthy volunteers and patients with implantable cardioverter-defibrillators using high-bandwidth spoiled gradient-echo cine.","authors":"Calder D Sheagren, Naseem Shadafny, Terenz Escartin, Maria Terricabras, Christopher C Cheung, Idan Roifman, Graham A Wright","doi":"10.1016/j.jocmr.2025.101893","DOIUrl":"10.1016/j.jocmr.2025.101893","url":null,"abstract":"<p><strong>Background: </strong>Implantable cardioverter-defibrillators (ICDs) cause banding artifacts around areas of B<sub>0</sub> inhomogeneity in conventional steady-state free precession (SSFP) cine sequences. Alternatively, high-bandwidth gradient-recalled echo (GRE) cine sequences can be used to minimize artifacts in the myocardium. In this study, we assessed the bias and interobserver variability in cardiac volumes and ejection fractions between GRE cines in acquired in the presence of ICDS and ground-truth SSFP cines (without ICDs present) in a population of healthy volunteers. Further, a small cohort of ICD patients was recruited and scanned to demonstrate clinical feasibility.</p><p><strong>Methods: </strong>High-bandwidth GRE cine was performed in 11 healthy volunteers with taped ICDs mimicking clinical implants. After the ICD was removed, ground-truth SSFP cine was performed. Two observers separately assessed image quality metrics and contoured the cine images to return cardiac volumes and ejection fractions. Nine patients with an ICD were also scanned with the GRE cine protocol before contrast administration; data were contoured by two observers and analyzed for interobserver agreement.</p><p><strong>Results: </strong>In the healthy volunteer dataset, no statistically significant differences were found when comparing volumes or ejection fractions between sequences (p > 0.05). Statistically significant differences were found when comparing right ventricular ejection fraction (RVEF) (p = 0.009) and right ventricular end-systolic volume (p = 0.029) between observers, with no other significant interobserver differences. The interobserver variability of patient left ventricular ejection fraction and RVEF data was 3-4%, with lower image quality metrics for patient scans than volunteer scans.</p><p><strong>Conclusion: </strong>GRE cine imaging in healthy volunteers with taped ICDs demonstrated good agreement with SSFP cine, but increased interobserver variability. In patients, reducing the breath-hold duration caused a decrease in image quality, with GRE cine imaging in patients with ICDs demonstrating poorer image quality and greater interobserver variability than in healthy volunteer studies. Future work is needed to improve GRE cine image quality in patients with ICDs to reduce interobserver variability and improve clinical confidence.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":"27 1","pages":"101893"},"PeriodicalIF":4.2,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12135367/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144023428","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}
Ye Tian, Jon Detterich, Jay D Pruetz, Ecrin Yagiz, John C Wood, Krishna S Nayak
{"title":"Feasibility of fetal cardiac function and anatomy assessment by real-time spiral balanced steady-state free precession magnetic resonance imaging at 0.55T.","authors":"Ye Tian, Jon Detterich, Jay D Pruetz, Ecrin Yagiz, John C Wood, Krishna S Nayak","doi":"10.1016/j.jocmr.2024.101130","DOIUrl":"10.1016/j.jocmr.2024.101130","url":null,"abstract":"<p><strong>Background: </strong>Contemporary 0.55T magnetic resonance imaging (MRI) is promising for fetal MRI, due to the larger bore, reduced safety concerns, lower acoustic noise, and improved fast imaging capability. In this work, we explore improved fetal cardiovascular magnetic resonance (CMR) without relying on any synchronizing devices, prospective, or retrospective gating, to determine the feasibility of real-time MRI evaluation of fetal cardiac function as well as cardiac and great vessel anatomies by using spiral balanced steady-state free precession (bSSFP) at 0.55T.</p><p><strong>Methods: </strong>A real-time spiral bSSFP pulse sequence for fetal CMR was implemented and optimized on a 0.55T whole-body MRI. Fetal CMR was prospectively performed between May 2022 and August 2023. The protocol included (1) real-time images at standard cardiac views, for 10-20 s/view and 40-43.6 ms/frame and (2) 4-9 stacks of slices at standard cardiac views that each cover the whole heart, with 15-30 slices/stack, and 2-5 s/slice, at 320-349 ms/frame. Images were evaluated by a fetal cardiologist. Quantitative measurements of cardiothoracic area ratio and cardiac axis were compared with previous reports. Diagnostic accuracy was compared against postnatal echocardiographic findings.</p><p><strong>Results: </strong>Twenty-nine participants were enrolled for 32 CMR exams, with mean maternal age 33.6 ± 5.8 years (range 22-44 years) and mean gestational age 32.8 ± 3.9 weeks (range 23-38 weeks). The proposed sequence enabled evaluation of the fetal heart in <30 min in all cases (average 22 min). Real-time MRI allowed easy adjustment of scan plan, automatic whole-heart volumetric sweeping, and flexible choice of reconstruction temporal resolution. For key cardiac anatomic features, 60% (315/527) were delineated well. Mean cardiothoracic area ratio and cardiac axis were 0.27 ± 0.04 and 45.8 ± 7.8 degrees. Diagnostic agreement with postnatal echocardiographic findings was 84% (26/31).</p><p><strong>Conclusion: </strong>A spiral real-time bSSFP pulse sequence at 0.55T can provide both low-framerate and high-framerate fetal heart images without relying on maternal breath-hold, specialized gating devices, or cardiac gating. The low-framerate images offer high diagnostic quality structural evaluations of the fetal heart, while the high-framerate images capture fetal heart motion and may enable functional assessments.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"101130"},"PeriodicalIF":4.2,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12182825/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142785510","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}
Brendan T Crabb, Rahul S Chandrupatla, Evan M Masutani, Sophie Y Wong, Sachin Govil, Silvia Montserrat, Susana Prat-González, Julián Vega-Adauy, Melany Atkins, Daniel Lorenzatti, Chiara Zocchi, Elena Panaioli, Nathalie Boddaert, Laith Alshawabkeh, Lewis Hahn, Sanjeet Hegde, Andrew D McCulloch, Francesca Raimondi, Albert Hsiao
{"title":"Characteristics of left ventricular dysfunction in repaired tetralogy of Fallot: A multi-institutional deep learning analysis of regional strain and dyssynchrony.","authors":"Brendan T Crabb, Rahul S Chandrupatla, Evan M Masutani, Sophie Y Wong, Sachin Govil, Silvia Montserrat, Susana Prat-González, Julián Vega-Adauy, Melany Atkins, Daniel Lorenzatti, Chiara Zocchi, Elena Panaioli, Nathalie Boddaert, Laith Alshawabkeh, Lewis Hahn, Sanjeet Hegde, Andrew D McCulloch, Francesca Raimondi, Albert Hsiao","doi":"10.1016/j.jocmr.2025.101886","DOIUrl":"10.1016/j.jocmr.2025.101886","url":null,"abstract":"<p><strong>Background: </strong>Patients with repaired tetralogy of Fallot (rTOF) are commonly followed with cardiovascular magnetic resonance (CMR) imaging and frequently develop right ventricular (RV) dysfunction, which can be severe enough to impact left ventricular (LV) function in some patients. In this study, we sought to characterize patterns of LV dysfunction in this patient population using deep learning synthetic strain (DLSS), a fully automated deep learning algorithm capable of measuring regional LV strain and dyssynchrony.</p><p><strong>Methods: </strong>We retrospectively collected cine steady-state free precession (SSFP) MRI images from a multi-institutional cohort of 198 patients with rTOF and 21 healthy controls. Using DLSS, we measured LV strain and strain rate across 16 American Heart Association segments from short-axis cine SSFP images and compared these values to controls. We then performed a clustering analysis to identify unique patterns of LV contraction, using segmental peak strain and several measures of dyssynchrony. We further characterized these patterns by assessing their relationship to traditional MRI metrics of volume and function. Lastly, we assessed their impact on subsequent progression to pulmonary valve replacement (PVR) through a multivariate analysis.</p><p><strong>Results: </strong>Overall, patients with rTOF had decreased septal radial strain, increased lateral wall radial strain, and increased dyssynchrony relative to healthy controls. Clustering of rTOF patients identified four unique patterns of LV contraction. Most notably, patients in cluster 1 (n = 39) demonstrated an LV contraction pattern with paradoxical septal wall motion and severely reduced septal strain. These patients had significantly elevated RV end-diastolic volume relative to clusters 3 and 4 (153 ± 34 vs 127 ± 34 and 126 ± 31 mL/m<sup>2</sup>, analysis of variance p < 0.01). In the multivariate analysis, this contraction pattern was the only LV metric associated with future progression to PVR (heart rate = 2.69, p < 0.005). A smaller subset of patients (cluster 2, n = 29) showed reduced septal strain and LV ejection fraction despite synchronous ventricular contraction.</p><p><strong>Conclusion: </strong>Patients with rTOF demonstrate four unique patterns of LV dysfunction. Most commonly, but not exclusively, LV dysfunction is characterized by septal wall motion abnormalities and severely reduced septal strain. Patients with this pattern of LV dysfunction had concomitant RV dysfunction and rapid progression to PVR.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"101886"},"PeriodicalIF":4.2,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12182814/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143692285","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}
William E Moody, Ayisha Mehtab Khan-Kheil, Tamara Naneishvili, Lucy E Hudsmith, Gabriella Captur, Thomas A Treibel, Daniel Sado, Timothy Fairbairn, Gerry P McCann, Saul G Myerson, Colin Berry, Mark Westwood, Niall G Keenan
{"title":"Inequity of access to contrast-enhanced cardiovascular magnetic resonance in patients with chronic kidney disease: A survey from the British Society of Cardiovascular Magnetic Resonance.","authors":"William E Moody, Ayisha Mehtab Khan-Kheil, Tamara Naneishvili, Lucy E Hudsmith, Gabriella Captur, Thomas A Treibel, Daniel Sado, Timothy Fairbairn, Gerry P McCann, Saul G Myerson, Colin Berry, Mark Westwood, Niall G Keenan","doi":"10.1016/j.jocmr.2025.101846","DOIUrl":"10.1016/j.jocmr.2025.101846","url":null,"abstract":"<p><strong>Objectives: </strong>To examine the provision of cardiovascular magnetic resonance (CMR) using gadolinium-based contrast agents (GBCA) in patients with chronic kidney disease (CKD).</p><p><strong>Methods: </strong>An electronic survey was sent to the service leads of all CMR units in the UK in October 2022 requesting information on current departmental protocols and practices.</p><p><strong>Results: </strong>A response rate of 55% was achieved from the 82 UK CMR units surveyed. There were no known cases of nephrogenic systemic fibrosis (NSF) reported within the past 10 years. Just under half the centers (22 out of 45, 49%) routinely require an estimated glomerular filtration rate (eGFR) in patients before performing contrast-enhanced CMR. Conversely, 18% (8/45) of units do not check eGFR, 20% (9/45) only require an eGFR in patients aged >65 years, while 33% (15/45) assess eGFR in patients known to have CKD. All centers use group II GBCAs: the majority (36/45, 80%) favoring gadobutrol (Gadovist), while gadoterate meglumine (Dotarem) is used in most of the remaining units (8/45, 18%). One in five centers (9/45, 20%) do not currently offer contrast-enhanced CMR to patients with an eGFR <30 mL/min/1.73 m<sup>2</sup>. Of the CMR units that do offer contrast to this group of patients, 28% (10/36) do not obtain consent for the risk of NSF.</p><p><strong>Conclusion: </strong>One in five centers across the UK does not offer contrast-enhanced CMR to patients with stage 4 and 5 CKD. This finding serves as a call for updated guidance with the intention of standardizing care.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"101846"},"PeriodicalIF":4.2,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11870253/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143059215","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}
John L Heyniger, Yingmin Liu, Nikita Nair, Preethi Chandrasekaran, Katherine Binzel, Vinay Kumar, Shyam S Bansal, Donel Tani, Farouk Osman, Vedat O Yildiz, Juliet Varghese, Yuchi Han, Orlando P Simonetti
{"title":"Feasibility of strain-encoded magnetic resonance at 0.55T.","authors":"John L Heyniger, Yingmin Liu, Nikita Nair, Preethi Chandrasekaran, Katherine Binzel, Vinay Kumar, Shyam S Bansal, Donel Tani, Farouk Osman, Vedat O Yildiz, Juliet Varghese, Yuchi Han, Orlando P Simonetti","doi":"10.1016/j.jocmr.2025.101870","DOIUrl":"10.1016/j.jocmr.2025.101870","url":null,"abstract":"<p><strong>Background: </strong>Low-field (<1.0T) wide-bore cardiovascular magnetic resonance (CMR) has the potential to improve patient accessibility; however intrinsically reduced signal-to-noise ratio may affect techniques such as strain-encoded magnetic resonance (SENC), a method to quantify regional strain. We sought to characterize the performance of SENC on a low-field system in a phantom, healthy subjects, and a porcine model of myocardial infarction (MI).</p><p><strong>Methods: </strong>A prototype SENC sequence was implemented on 0.55T and 1.5T systems and used to scan a phantom and 16 healthy volunteers. 10 subjects underwent repeat scans at each field strength for scan-rescan repeatability testing. T-tests were used to compare global strain values; reproducibility between field strengths and scan-rescan repeatability were assessed via Bland-Altman and intra-class correlation (ICC). Adjunctive SENC followed by late gadolinium enhancement (LGE) was acquired at 0.55T in a porcine MI model (n = 6). Left ventricular (LV) segments were categorized by LGE, and segmental strain was compared via one-way analysis of variance.</p><p><strong>Results: </strong>Phantom strain showed no significant differences between field strengths (p > 0.10). In volunteers, mean LV global longitudinal (GLS) and circumferential strain (GCS) were -19.4% ±1.1 and -20.4% ± 0.9 at 0.55T compared to -18.7 ±1.4% and -19.2% ±1.6 at 1.5T (p > 0.10). LS proved to have better agreement than CS, and mean biases were low for both global and segmental comparisons throughout. Limits of agreement were good for global strain but wider for segmental measurements. Pooled LV segmental strain ICC showed good reproducibility for LS between field strengths (0.78) and good repeatability at 0.55T (0.89); however, reproducibility for CS was fair (0.60), as was repeatability at 0.55T (0.64). In the porcine infarct model, segmental LS in LGE+ segments (-10.8% ±4.0) was less negative than remote segments (-16.8% ± 5.1), p < 0.001. Similarly, segmental CS in LGE+ vs remote segments was -11.9% ± 2.7 vs -14.6% ± 2.7; p = 0.0011.</p><p><strong>Conclusion: </strong>Our results support the feasibility of SENC at 0.55T, with accurate phantom measurements, good agreement of global values with 1.5T in human volunteers, and correlates of functional impairment with known MI. Reproducibility showed minimal systemic bias but at times substantial limits of agreement. Repeatability of global and segmental LS at 0.55T was similar to established 1.5T performance, although CS was notably worse than LS. LV CS may lack sufficient reliability in its current implementation for use at 0.55T.</p>","PeriodicalId":15221,"journal":{"name":"Journal of Cardiovascular Magnetic Resonance","volume":" ","pages":"101870"},"PeriodicalIF":4.2,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12032878/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143523599","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}