Michael Rietz, Bram Beun, Ivan Dimov, Aurelia David-Cojocariu, Philippe Unger
{"title":"Unveiling type B aortic dissection in Loeys-Dietz syndrome by transthoracic echocardiography: back to the root.","authors":"Michael Rietz, Bram Beun, Ivan Dimov, Aurelia David-Cojocariu, Philippe Unger","doi":"10.1093/ehjci/jeaf020","DOIUrl":"10.1093/ehjci/jeaf020","url":null,"abstract":"","PeriodicalId":12026,"journal":{"name":"European Heart Journal - Cardiovascular Imaging","volume":" ","pages":"933"},"PeriodicalIF":6.7,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143002811","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}
Laust D Rasmussen, Samuel Emil Schmidt, Juhani Knuuti, Jon Spiro, Adil Rajwani, Pedro M Lopes, Maria Rita Lima, António M Ferreira, Teemu Maaniitty, Antti Saraste, David Newby, Pamela S Douglas, Morten Bøttcher, Lohendran Baskaran, Simon Winther
{"title":"Clinical likelihood models calibrated against observed obstructive coronary artery disease on computed tomography angiography.","authors":"Laust D Rasmussen, Samuel Emil Schmidt, Juhani Knuuti, Jon Spiro, Adil Rajwani, Pedro M Lopes, Maria Rita Lima, António M Ferreira, Teemu Maaniitty, Antti Saraste, David Newby, Pamela S Douglas, Morten Bøttcher, Lohendran Baskaran, Simon Winther","doi":"10.1093/ehjci/jeaf049","DOIUrl":"10.1093/ehjci/jeaf049","url":null,"abstract":"<p><strong>Aims: </strong>Models predicting the likelihood of obstructive coronary artery disease (CAD) on invasive coronary angiography exist. However, as stable patients with new-onset chest pain frequently have lower clinical likelihood and preferably undergo index testing by non-invasive tests such as coronary computed tomography angiography (CCTA), clinical likelihood models calibrated against observed obstructive CAD at CCTA are warranted. The aim was to develop CCTA-calibrated risk-factor- and coronary artery calcium score-weighted clinical likelihood models (i.e. RF-CLCCTA and CACS-CLCCTA models, respectively).</p><p><strong>Methods and results: </strong>Based on age, sex, symptoms, and cardiovascular risk factors, an advanced machine learning algorithm utilized a training cohort (n = 38 269) of symptomatic outpatients with suspected obstructive CAD to develop both a RF-CLCCTA model and a CACS-CLCCTA model to predict observed obstructive CAD on CCTA. The models were validated in several cohorts (n = 28 340) and compared with a currently endorsed basic pre-test probability (Basic PTP) model. For both the training and pooled validation cohorts, observed obstructive CAD at CCTA was defined as >50% diameter stenosis. Observed obstructive CAD at CCTA was present in 6443 (22.7%) patients in the pooled validation cohort. While the Basic PTP underestimated the prevalence of observed obstructive CAD at CCTA, the RF-CLCCTA and CACS-CLCCTA models showed superior calibration. Compared with the Basic PTP model, the RF-CLCCTA and CACS-CLCCTA models showed superior discrimination (area under the receiver operating curves 0.71 [95% confidence interval (CI) 0.70-0.72] vs. 0.74 (95% CI 0.73-0.75) and 0.87 (95% CI 0.86-0.87), P < 0.001 for both comparisons).</p><p><strong>Conclusion: </strong>CCTA-calibrated clinical likelihood models improve calibration and discrimination of observed obstructive CAD at CCTA.</p>","PeriodicalId":12026,"journal":{"name":"European Heart Journal - Cardiovascular Imaging","volume":" ","pages":"802-813"},"PeriodicalIF":6.7,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12042743/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143364167","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}
Martina De Raffele, Albert Teis, German Cediel, Jerremy Weerts, Cristina Conte, Gladys Juncà, Gizem Kasa, Elena Ferrer-Sistach, Matteo Bertini, Antoni Bayes-Genis, Victoria Delgado
{"title":"Left atrial remodelling and function in various left ventricular hypertrophic phenotypes.","authors":"Martina De Raffele, Albert Teis, German Cediel, Jerremy Weerts, Cristina Conte, Gladys Juncà, Gizem Kasa, Elena Ferrer-Sistach, Matteo Bertini, Antoni Bayes-Genis, Victoria Delgado","doi":"10.1093/ehjci/jeaf033","DOIUrl":"10.1093/ehjci/jeaf033","url":null,"abstract":"<p><strong>Aims: </strong>How the underlying aetiology and pathophysiology of left ventricular (LV) hypertrophy affects left atrial (LA) remodelling and function remains unexplored. The present study aims to investigate the influence of various hypertrophic phenotypes on LA remodelling and function.</p><p><strong>Methods and results: </strong>Patients with LV hypertrophy who underwent cardiac magnetic resonance (CMR) were compared to a control group. CMR data were analysed retrospectively to assess LA strain, volume, sphericity, and left atrioventricular coupling index (LACI). Independent clinical associates of LA strain were assessed using multivariable linear regression analysis. A total of 375 individuals were included: 148 with hypertrophic cardiomyopathy (HCM), 35 with cardiac amyloidosis (CA), 41 with hypertensive (HTN) heart disease, 97 with severe asymptomatic aortic stenosis (AS), and 54 with normal CMR. Indexed LA end-systolic (iLVmax), diastolic volumes, and LA sphericity were the largest in patients with CA (59.1 ± 16.9 mL/m2, 46.8 ± 16.4 mL/m2, and 83.2 ± 2.1%, respectively). Patients with CA presented a higher LACI when compared with other groups (58 ± 2% vs. 42 ± 2% in HCM, 39 ± 2% in HTN heart disease, 37 ± 2% in AS, and 22 ± 1% in normal), while no differences were observed across others. Patients with CA showed the lowest LA reservoir [9.6% (0.6-18.6%)] and booster strain (9.1 ± 5.4%), whereas no differences were observed across other groups. LACI and iLAVmax were independently correlated with LA reservoir (β = 0.15 and β = -39.33, respectively), LA conduit (β = 0.08 and β = -17.08, respectively), and LA booster strains (β = 0.1 and β = -28.69, respectively). LA sphericity was independently correlated with LA reservoir strain (β = -0.51). Finally, LV global longitudinal strain was independently correlated with LA reservoir (β = -0.43), conduit (β = -0.20), and booster strain (β = -0.24).</p><p><strong>Conclusion: </strong>LA characteristics differ among LV hypertrophic phenotypes. LACI and iLAVmax are independently correlated with LA function, while LA sphericity correlates independently with LA reservoir strain.</p>","PeriodicalId":12026,"journal":{"name":"European Heart Journal - Cardiovascular Imaging","volume":" ","pages":"853-862"},"PeriodicalIF":6.7,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143058557","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}
C Noel Bairey Merz, Robert O Bonow, Mercedes Carnethon, Filippo Crea, Joseph A Hill, Harlan M Krumholz, Roxana Mehran, Erica S Spatz
{"title":"The Role of Cardiovascular Disease Journals in Reporting Sex and Gender in Research.","authors":"C Noel Bairey Merz, Robert O Bonow, Mercedes Carnethon, Filippo Crea, Joseph A Hill, Harlan M Krumholz, Roxana Mehran, Erica S Spatz","doi":"10.1093/ehjci/jeaf094","DOIUrl":"10.1093/ehjci/jeaf094","url":null,"abstract":"","PeriodicalId":12026,"journal":{"name":"European Heart Journal - Cardiovascular Imaging","volume":" ","pages":"773-774"},"PeriodicalIF":6.7,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12042740/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143742732","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}
Louisa Fay, Tobias Hepp, Moritz T Winkelmann, Annette Peters, Margit Heier, Thoralf Niendorf, Tobias Pischon, Beate Endemann, Jeanette Schulz-Menger, Lilian Krist, Matthias B Schulze, Rafael Mikolajczyk, Andreas Wienke, Nadia Obi, Bernard C Silenou, Berit Lange, Hans-Ulrich Kauczor, Wolfgang Lieb, Hansjörg Baurecht, Michael Leitzmann, Kira Trares, Hermann Brenner, Karin B Michels, Stefanie Jaskulski, Henry Völzke, Konstantin Nikolaou, Christopher L Schlett, Fabian Bamberg, Mario Lescan, Bin Yang, Thomas Küstner, Sergios Gatidis
{"title":"Determinants of ascending aortic morphology: cross-sectional deep learning-based analysis on 25 073 non-contrast-enhanced NAKO MRI studies.","authors":"Louisa Fay, Tobias Hepp, Moritz T Winkelmann, Annette Peters, Margit Heier, Thoralf Niendorf, Tobias Pischon, Beate Endemann, Jeanette Schulz-Menger, Lilian Krist, Matthias B Schulze, Rafael Mikolajczyk, Andreas Wienke, Nadia Obi, Bernard C Silenou, Berit Lange, Hans-Ulrich Kauczor, Wolfgang Lieb, Hansjörg Baurecht, Michael Leitzmann, Kira Trares, Hermann Brenner, Karin B Michels, Stefanie Jaskulski, Henry Völzke, Konstantin Nikolaou, Christopher L Schlett, Fabian Bamberg, Mario Lescan, Bin Yang, Thomas Küstner, Sergios Gatidis","doi":"10.1093/ehjci/jeaf081","DOIUrl":"10.1093/ehjci/jeaf081","url":null,"abstract":"<p><strong>Aims: </strong>Understanding determinants of thoracic aortic morphology is crucial for precise diagnostics and therapeutic approaches. This study aimed to automatically characterize ascending aortic morphology based on 3D non-contrast-enhanced magnetic resonance angiography (NC-MRA) data from the epidemiological cross-sectional German National Cohort (NAKO) and to investigate possible determinants of mid-ascending aortic diameter (mid-AAoD).</p><p><strong>Methods and results: </strong>Deep learning (DL) automatically segmented the thoracic aorta and ascending aortic length, volume, and diameter was extracted from 25 073 NC-MRAs. Statistical analyses investigated relationships between mid-AAoD and demographic factors, hypertension, diabetes, alcohol, and tobacco consumption. Males exhibited significantly larger mid-AAoD than females (M: 35.5 ± 4.8 mm, F: 33.3 ± 4.5 mm). Age and body surface area (BSA) were positively correlated with mid-AAoD (age: male: r²=0.20, P < 0.001, female: r²=0.16, P < 0.001; BSA: male: r²=0.08, P < 0.001, female: r²=0.05, P < 0.001). Hypertensive and diabetic subjects showed higher mid-AAoD (ΔHypertension=2.9±0.5 mm; ΔDiabetes=1.5±0.6 mm). Hypertension was linked to higher mid-AAoD regardless of age and BSA, while diabetes and mid-AAoD were uncorrelated across age-stratified subgroups. Daily alcohol consumption (male: 37.4 ± 5.1 mm, female: 35.0 ± 4.8 mm) and smoking history exceeding 16.5 pack-years (male: 36.6 ± 5.0 mm, female: 33.9 ± 4.3 mm) exhibited the highest mid-AAoD. Causal analysis (Peter-Clark algorithm) suggested that age, BSA, hypertension, and alcohol consumption are possibly causally related to mid-AAoD, while diabetes and smoking are likely spuriously correlated.</p><p><strong>Conclusion: </strong>This study demonstrates the potential of DL and causal analysis for understanding ascending aortic morphology. By disentangling observed correlations using causal analysis, this approach identifies possible causal determinants, such as age, BSA, hypertension, and alcohol consumption. These findings can inform targeted diagnostics and preventive strategies, supporting clinical decision-making for cardiovascular health.</p>","PeriodicalId":12026,"journal":{"name":"European Heart Journal - Cardiovascular Imaging","volume":" ","pages":"895-907"},"PeriodicalIF":6.7,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143572572","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 right horse for the race in the finite element analysis simulations to predict mitral valve regurgitation following transcatheter edge-to-edge mitral valve repair.","authors":"Francesco Nappi, Cristiano Spadaccio","doi":"10.1093/ehjci/jeaf068","DOIUrl":"10.1093/ehjci/jeaf068","url":null,"abstract":"","PeriodicalId":12026,"journal":{"name":"European Heart Journal - Cardiovascular Imaging","volume":" ","pages":"931-932"},"PeriodicalIF":6.7,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143491427","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}