European heart journal. Imaging methods and practice最新文献

{"title":"Left atrial strain by vendor-neutral echocardiography software in healthy subjects: vendor comparisons and associated factors.","authors":"Tiffany Dong, Aro Daniela Arockiam, Ankit Agrawal, Joseph El Dahdah, Elio Haroun, Muhammad Majid, Richard A Grimm, Luis L Rodriguez, Zoran B Popovic, Brian P Griffin, Wael A Jaber, Tom Kai Ming Wang","doi":"10.1093/ehjimp/qyaf029","DOIUrl":"10.1093/ehjimp/qyaf029","url":null,"abstract":"<p><strong>Aims: </strong>Left atrial strains [reservoir (LASr), conduit (LAScd), and contractile (LASct)] are increasingly utilized, primarily in the areas of heart failure and valvulopathy. Commercially available software to measure strain are marketed as imaging machine vendor independent, although the normal ranges of their performance and external validation studies are lacking. We evaluated and compared LAS values, reference ranges, and associated factors using contemporary strain software.</p><p><strong>Methods and results: </strong>Healthy subjects (<i>n</i> = 100) undergoing transthoracic echocardiography during January to April 2023 were studied, with equal number by age groups, sex, and GE vs. Philips equipment. LASs were quantified using TomTec version 51.02 (AutoStrain LA), EchoPAC version 206 (AFILA), velocity vector imaging (VVI) version 2.00, and Epsilon version 5.0.2.11295 software. Means and lower limits of normal [95% confidence interval (CI)] of LASr (%) were 44.1 (41.9, 46.3) and 30.3 (26.4, 34.1) for TomTec; 34.8 (33.6, 36.0) and 26.3 (24.2, 28.4) for EchoPAC (on GE scans only); 42.5 (40.2, 44.8) and 28.4 (24.4, 32.4) for VVI; and 37.0 (34.9, 39.1) and 25.2 (21.5, 28.8) for Epsilon. Factors significantly associated with variability in LASr measurements and their beta-coefficients (95% CI) were age -2.37 (-3.41, -1.33) per 10 years, EchoPAC (vs. TomTec) -9.63 (-12.75, -6.51), and Epsilon (vs. TomTec) -7.04 (-9.40, -4.67). Reference ranges and factors significantly associated with LAScd and LASct were reported. LAS measurements and normal ranges by strain software and associated clinical and echocardiographic factors were determined.</p><p><strong>Conclusion: </strong>EchoPAC and Epsilon have lower magnitude mean LAS values compared with TomTec and VVI, and all software were vendor neutral except EchoPAC.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"3 1","pages":"qyaf029"},"PeriodicalIF":0.0,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11966106/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143782344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Myocardial extracellular volume fraction by computed tomography vs. cardiovascular magnetic resonance imaging in patients with stable chest pain.","authors":"Bunny Saberwal, Kush Patel, Ernst Klotz, Anna Herrey, Andreas Seraphim, Sebastian Vandermolen, George D Thornton, Mohammed Y Khanji, Thomas A Treibel, Francesca Pugliese","doi":"10.1093/ehjimp/qyaf019","DOIUrl":"10.1093/ehjimp/qyaf019","url":null,"abstract":"<p><strong>Aims: </strong>Computed tomography (CT) is increasingly being recognized as a diagnostic modality across a range of cardiovascular conditions. Myocardial late enhancement imaging has shown value as an imaging biomarker for the identification and prognostication of disease. The objective of this study was to compare extracellular volume fraction by CT (ECVCT) against cardiovascular magnetic resonance (ECVCMR), the latter considered as reference standard for this study.</p><p><strong>Methods and results: </strong>Consecutive patients with an index history of cardiac chest pain referred for invasive angiography were prospectively recruited. In addition to late gadolinium enhancement (LGE) imaging, patients underwent 1.5 T CMR with T1-mapping [by MOdified Look-Locker Inversion (MOLLI) recovery]. Pre- and post-contrast CT was performed for whole-heart ECVCT quantification. Averaged and segmental ECVCT was compared in patients with and without LGE, as well as between mid-ventricular averaged ECVCT and ECVCMR. Bland-Altman analysis was used to determine limits of agreement and identify differences between ECVCT and ECVCMR. A total of 88 participants (74% male, mean age 59.8 ± 9.1 years) underwent ECVCT and LGE; 49 of these also underwent mid-ventricular ECVCMR. For these, the CMR and CTECV fractions were 27.6 ± 2.4 and 26.8 ± 2.2, respectively. Patients with LGE findings on CMR (<i>n</i> = 24) had a significantly higher ECVCT than those without (<i>n</i> = 64): 27.2 [25.8, 28.7] vs. 26.1 [25.0, 27.7] (<i>P</i> = 0.02). Segments with LGE demonstrated a consistently higher ECV: 30.8 [25.7, 35.9] (<i>P</i> = 0.008) (endocardial LGE) and 30.9 [27.9, 33.1] (<i>P</i> = 0.0001) (transmural LGE) vs. 26.1 [25.0, 27.4].</p><p><strong>Conclusion: </strong>ECVCT obtained from 5 min post-contrast CT protocols shows good agreement with CMR in a stable chest pain cohort. Such a protocol could be seamlessly introduced into a CT workflow for the identification of significant secondary pathologies.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"3 1","pages":"qyaf019"},"PeriodicalIF":0.0,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11891481/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143598713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effect of respiratory motion compensation in intracardiac 4D flow magnetic resonance imaging on left ventricular flow dynamics, multicomponent particle tracing, and valve tracking.","authors":"Paul R Roos, Thomas In de Braekt, Hildo J Lamb, Jos J M Westenberg","doi":"10.1093/ehjimp/qyaf020","DOIUrl":"10.1093/ehjimp/qyaf020","url":null,"abstract":"<p><strong>Aims: </strong>4D flow magnetic resonance imaging (MRI) has enabled evaluation of intracardiac flow dynamics by particle tracing for visualizing and quantifying complex flow patterns. The aim of this study was to assess the impact of respiratory motion compensation on 4D flow MRI-based left ventricular four-component particle tracing, valve tracking, and haemodynamics.</p><p><strong>Methods and results: </strong>In this prospective cohort study, 4D flow MRI with and without respiratory motion compensation was performed in 15 healthy volunteers. Intracardiac particle tracing considered four components: direct flow, delayed ejection flow (DEF), retained inflow (RI), and residual volume. Data quality was assessed by comparing DEF and RI components. Particle tracing, valve tracking, kinetic energy (KE), and vorticity were compared between scan methods. Paired sample <i>t</i>-tests and intraclass correlation analysis were performed with an alpha of 0.05. DEF, RI, ejection fraction, and stroke volume were different between scan methods. Five participants showed DEF-RI mismatch > 10%. After excluding these, differences in flow fractions were non-significant. Differences in stroke volume, ejection fraction, and valvular flow mismatch between scan methods remained. Valve tracking was comparable between scan methods and correlated well with particle tracing. Absolute mismatch between particle tracing- and valve tracking-based mitral flow, and KE and vorticity at A-peak, was higher for non-compensated MRI.</p><p><strong>Conclusion: </strong>Respiratory motion compensation can improve accuracy of intracardiac particle tracing based on 4D flow MRI by decreasing mismatch to retrospective valve tracking. For intracardiac particle tracing, respiratory motion compensation is advised. Robust data quality assessment for particle tracing-based analyses is equally crucial.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"3 1","pages":"qyaf020"},"PeriodicalIF":0.0,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11891475/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143598715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of atrial myopathy and atrial fibrillation recurrence after ablation using 3D left atrial phasic strain from retrospective gated computed tomography.","authors":"Charles Sillett, Orod Razeghi, Tiffany M G Baptiste, Angela W C Lee, Jose Alonso Solis Lemus, Cristobal Rodero, Caroline H Roney, Ruibin Feng, Prasanth Ganesan, Hui Ju Chang, Paul Clopton, Nick Linton, Ronak Rajani, A J Rogers, Sanjiv M Narayan, Steven A Niederer","doi":"10.1093/ehjimp/qyaf027","DOIUrl":"10.1093/ehjimp/qyaf027","url":null,"abstract":"<p><strong>Aims: </strong>Reduced left atrial (LA) mechanical function associates with atrial myopathy and adverse clinical endpoints in atrial fibrillation (AF) patients; however, conventional 2D imaging modalities are limited by atrial foreshortening and sub-optimally capture 3D LA motion.</p><p><strong>Objectives: </strong>We set out to test the hypothesis that 3D LA motion features from 4D (3D + time) retrospective gated computed tomography (RGCT) associate with AF phenotypes and predict AF recurrence in patients undergoing catheter ablation.</p><p><strong>Methods and results: </strong>Sixty-nine AF patients (60.8 ± 12.2 years, 39% female, 30% non-paroxysmal AF) who were indicated for CT coronary angiography including a RGCT protocol in sinus rhythm prior to ablation were included. We measured 3D LA endocardial motion by optimized 3D feature tracking and calculated 3D global and regional phasic strain and peak strain rates (SRs). AF recurrence was observed in 18 patients (26%) at 1-year. Global reservoir strain (<i>P</i> < 0.05) and contractile strain and SR (both <i>P</i> < 0.01) were reduced in patients with vs. those without recurrent AF. Global and anterior wall contractile SR were more predictive of recurrent AF than LA volume index (area under the curve, AUC: 0.74, 0.77, and 0.68, respectively). Reduced global conduit SR and septal reservoir strain were more strongly associated with non-paroxysmal AF than CHADS2-VASc (AUCs: 0.74, 0.75, and 0.59, respectively).</p><p><strong>Conclusion: </strong>Reduced passive and active 3D LA motion from 4D RGCT associates with more advanced AF and AF recurrence post-ablation, respectively. Future work should extend this approach to larger populations, with new low-radiation CT technologies to widen its applicability.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"3 1","pages":"qyaf027"},"PeriodicalIF":0.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11959267/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143766286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Accurate fully automated assessment of left ventricle, left atrium, and left atrial appendage function from computed tomography using deep learning.","authors":"Lee Jollans, Mariana Bustamante, Lilian Henriksson, Anders Persson, Tino Ebbers","doi":"10.1093/ehjimp/qyaf011","DOIUrl":"10.1093/ehjimp/qyaf011","url":null,"abstract":"<p><strong>Aims: </strong>Assessment of cardiac function is essential for diagnosis and treatment planning in cardiovascular disease. Volume of cardiac regions and the derived measures of stroke volume (SV) and ejection fraction (EF) are most accurately calculated from imaging. This study aims to develop a fully automatic deep learning approach for calculation of cardiac function from computed tomography (CT).</p><p><strong>Methods and results: </strong>Time-resolved CT data sets from 39 patients were used to train segmentation models for the left side of the heart including the left ventricle (LV), left atrium (LA), and left atrial appendage (LAA). We compared nnU-Net, 3D TransUNet, and UNETR. Dice Similarity Scores (DSS) were similar between nnU-Net (average DSS = 0.91) and 3D TransUNet (DSS = 0.89) while UNETR performed less well (DSS = 0.69). Intra-class correlation analysis showed nnU-Net and 3D TransUNet both accurately estimated LVSV (ICC_nnU-Net = 0.95; ICC_3DTransUNet = 0.94), LVEF (ICC_nnU-Net = 1.00; ICC_3DTransUNet = 1.00), LASV (ICC_nnU-Net = 0.91; ICC_3DTransUNet = 0.80), LAEF (ICC_nnU-Net = 0.95; ICC_3DTransUNet = 0.81), and LAASV (ICC_nnU-Net = 0.79; ICC_3DTransUNet = 0.81). Only nnU-Net significantly predicted LAAEF (ICC_nnU-Net = 0.68). UNETR was not able to accurately estimate cardiac function. Time to convergence during training and time needed for inference were both faster for 3D TransUNet than for nnU-Net.</p><p><strong>Conclusion: </strong>nnU-Net outperformed two different vision transformer architectures for the segmentation and calculation of function parameters for the LV, LA, and LAA. Fully automatic calculation of cardiac function parameters from CT using deep learning is fast and reliable.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"2 4","pages":"qyaf011"},"PeriodicalIF":0.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11883084/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143574766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Repeatability of fully automated, inline quantitative assessment of myocardial perfusion in patients with suspected coronary artery disease.","authors":"Mohamed Elshibly, Charley Budgeon, Simran Shergill, Rachel England, Kelly Parke, Aida Moafi, Hui Xue, Peter Kellman, Gerry P McCann, Jayanth R Arnold","doi":"10.1093/ehjimp/qyaf026","DOIUrl":"10.1093/ehjimp/qyaf026","url":null,"abstract":"<p><strong>Aims: </strong>Recent developments in the field of myocardial perfusion assessment with cardiovascular magnetic resonance (CMR) enable the automated inline quantification of myocardial blood flow (MBF). Previous studies have assessed its repeatability in healthy volunteers. This study assessed the repeatability of this technique in patients with suspected stable coronary artery disease (CAD).</p><p><strong>Methods and results: </strong>Patients with suspected CAD were studied twice on separate days. CMR perfusion imaging was performed at rest and during adenosine stress using a dual-sequence T1-weighted saturation recovery gradient echo sequence. Inline automatic reconstruction and image post-processing were implemented within the Gadgetron software framework, calculating MBF using a blood tissue exchange model. Repeatability of global stress and rest MBF, and myocardial perfusion reserve (MPR) were evaluated using Bland-Altman plots and intraclass correlation coefficients. Fifty-four patients (mean age 67 ± 9 years, 78% male) were studied. The median interval between the two scans was 2 days (IQR 3). There was no significant interstudy difference in global stress MBF (1.46 ± 0.51 mL/min/g vs. 1.51 ± 0.59mLmin/g, <i>P</i> = 0.44), global rest MBF (0.54 ± 0.14 mL/min/g vs. 0.56 ± 0.16 mL/min/g, <i>P</i> = 0.48), or global MPR (2.72 ± 0.80 vs. 2.84 ± 1.13, <i>P</i> = 0.76) between the two scans. Stress MBF, rest MBF, and MPR showed intraclass correlations of 0.60 (95% CI 0.39-0.75), 0.63 (95% CI 0.36-0.77), and 0.39 (95% CI 0.09-0.62), respectively.</p><p><strong>Conclusion: </strong>In patients with suspected CAD, quantitative assessment of myocardial perfusion by fully automated inline myocardial mapping shows moderate repeatability for stress and rest MBF, but poorer repeatability with MPR.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"2 4","pages":"qyaf026"},"PeriodicalIF":0.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11935528/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143712556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Imaging small dynamic lesions using positron emission tomography and computed tomography: an ¹⁸F-sodium fluoride valvular phantom study.","authors":"Anna K Barton, Jacek Kwiecinski, Hidenobu Hashimoto, Mark Hyun, Keiichiro Kuronuma, Aditya Killekar, Aakriti Gupta, Nipun Manral, John Moore, Marc R Dweck, David E Newby, Daniel S Berman, Damini Dey, Piotr Slomka","doi":"10.1093/ehjimp/qyaf013","DOIUrl":"10.1093/ehjimp/qyaf013","url":null,"abstract":"<p><strong>Aims: </strong>¹⁸F-sodium fluoride (¹⁸F-NaF) positron emission tomography (PET) detects active microcalcification and predicts adverse outcomes including bioprosthetic valve deterioration. However, measuring small areas of ¹⁸F-NaF uptake within moving structures remains challenging, requiring further optimization. We developed a representative cardiac phantom to optimize ¹⁸F-NaF imaging of bioprosthetic valves.</p><p><strong>Methods and results: </strong>We placed a bioprosthetic valve with two pockets sutured to the leaflets mimicking valvular lesions and a subvalvular ring mimicking the valve remnant into the phantom and injected each with ¹⁸F-radionuclide (1 μCi pockets, 4 μCi ring). We injected the cardiac chambers with iohexol and ¹⁸F-radionuclide (0.176 mCi) for background activity. PET and computed tomography (CT) images were acquired using a Siemens Biograph Vision high-resolution digital PET/CT scanner. We analysed target-to-background ratio (TBR) and signal-to-noise ratio (SNR) and subjective measures of image quality. We compared results with a human case of transcatheter aortic valve replacement. Initially the SNR and TBR in the phantom greatly exceeded those from human imaging. We reduced the scan duration used for reconstruction to 30 and 15 s, achieving comparable results (30 s vs. 15 s vs. patient: SNR 45.6 vs. 13.9 vs. 44.3, TBR_max 6.5 vs. 5.4 vs. 4.1, noise 10.2% vs. 8.8% vs. 12.0%). With motion correction, SNR and image quality improved in the phantom (30 s 135.8 vs. 45.6, 15 s 32.9 vs. 13.9) but remained similar in the human case (47.3 vs. 44.3).</p><p><strong>Conclusion: </strong>A cardiac phantom can mimic clinical ¹⁸F-NaF valve bioprosthesis imaging, providing an opportunity to explore acquisition, reconstruction, and post-processing of ¹⁸F-NaF PET/CT for small mobile cardiac structures.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"3 1","pages":"qyaf013"},"PeriodicalIF":0.0,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11879021/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143559838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An unanticipated cause of worsening dyspnoea: mitral stenosis induced by cardiac myxoma.","authors":"Deniz Mutlu, Hakan Yalman, Mehmet Semih Belpınar, Anıl Şahin, Zafer Akman, Davide Margonato","doi":"10.1093/ehjimp/qyaf024","DOIUrl":"https://doi.org/10.1093/ehjimp/qyaf024","url":null,"abstract":"","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"3 1","pages":"qyaf024"},"PeriodicalIF":0.0,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11905737/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143627313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intracardiac flow dynamics in mitral regurgitation: state of the art.","authors":"Lorenzo Serio, Riccardo Beccari, Stefano Nistri, Antonella Cecchetto, Gianni Pedrizzetti, Donato Mele","doi":"10.1093/ehjimp/qyaf022","DOIUrl":"10.1093/ehjimp/qyaf022","url":null,"abstract":"<p><p>Intracardiac flow dynamics is a complex phenomenon interrelated with cardiac mechanics. Today, it can be evaluated non-invasively using various imaging modalities, including echocardiography, magnetic resonance imaging, and computed tomography. This review explores the effects of mitral regurgitation on blood flow dynamics inside the left ventricular and atrial cavities and emphasizes the disruption of normal flow dynamics caused by mitral regurgitation, leading to turbulent flow and increased energy dissipation. It further examines the consequences of mitral valve repair and replacement, noting that, while repair generally improves intracardiac flow dynamics compared with replacement, residual flow disturbances may persist. Finally, the implications of abnormal intracardiac vorticity on left ventricular wall stress, myocardial remodelling, and thromboembolic risk are discussed.</p>","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"3 1","pages":"qyaf022"},"PeriodicalIF":0.0,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11904890/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143627314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recurrent locally uncontrolled infection in endocarditis, a fearful complication.","authors":"Axel Abel Rodriguez-Mendez, Hugo Gerardo Rodriguez-Zanella, Ana Maria Coeto-Cano, David Jacobo Sanchez-Amaya, Daniel Manzur-Sandoval","doi":"10.1093/ehjimp/qyae117","DOIUrl":"https://doi.org/10.1093/ehjimp/qyae117","url":null,"abstract":"","PeriodicalId":94317,"journal":{"name":"European heart journal. Imaging methods and practice","volume":"3 1","pages":"qyae117"},"PeriodicalIF":0.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11833477/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143451361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}