Mohamad Khattab, Mariam Baig, Talal El Zarif, Ana Barac, Maros Ferencik, Mariana L Henry, Juan Lopez-Mattei, Alban Redheuil, Joe-Elie Salem, Marielle Scherrer-Crosbie, Eric H Yang, Lauren A Baldassarre
{"title":"How to Use Imaging: Complex Cases of Atherosclerosis, Myocardial Inflammation, and Cardiomyopathy in Cardio-Oncology.","authors":"Mohamad Khattab, Mariam Baig, Talal El Zarif, Ana Barac, Maros Ferencik, Mariana L Henry, Juan Lopez-Mattei, Alban Redheuil, Joe-Elie Salem, Marielle Scherrer-Crosbie, Eric H Yang, Lauren A Baldassarre","doi":"10.1161/CIRCIMAGING.124.015981","DOIUrl":"10.1161/CIRCIMAGING.124.015981","url":null,"abstract":"<p><p>It is well understood that cancer therapies including chemotherapy, tyrosine kinase inhibitors, immune checkpoint inhibitors, and radiation can increase the risk of cardiovascular disease in patients with cancer. This can manifest as a multitude of pathologies including left ventricular dysfunction, myocarditis, cardiomyopathy, accelerated atherosclerosis, and coronary vasospasm. Multimodal cardiac imaging plays a critical role in diagnosing such pathologies by relying on noninvasive tools including echocardiograms, cardiac magnetic resonance imaging, positron emission tomography, single-photon emission computed tomography, and coronary computed tomography angiography. These methods have unique considerations and in recent years have made significant progress in their diagnostic capabilities in this patient population. As the field of cardio-oncology continues to expand rapidly, guidance on the management of such toxicities and the development of imaging technologies is crucial. In this review, we present 2 complex cases of atherosclerosis and myocarditis in patients with cancer, highlighting our rationale for management and discussing the nuances of various cardiac imaging modalities.</p>","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":" ","pages":"e015981"},"PeriodicalIF":6.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142945694","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}
Nils Sofus Borg Mogensen, Jordi Sanchez Dahl, Mulham Ali, Mohamed-Salah Annabi, Amal Haujir, Andréanne Powers, Rasmus Carter-Storch, Jasmine Grenier-Delaney, Jacob Eifer Møller, Kristian Altern Øvrehus, Philippe Pibarot, Marie-Annick Clavel
{"title":"Usefulness of Aortic Valve Calcification in Patients With Low-Flow Aortic Stenosis.","authors":"Nils Sofus Borg Mogensen, Jordi Sanchez Dahl, Mulham Ali, Mohamed-Salah Annabi, Amal Haujir, Andréanne Powers, Rasmus Carter-Storch, Jasmine Grenier-Delaney, Jacob Eifer Møller, Kristian Altern Øvrehus, Philippe Pibarot, Marie-Annick Clavel","doi":"10.1161/CIRCIMAGING.124.017122","DOIUrl":"10.1161/CIRCIMAGING.124.017122","url":null,"abstract":"<p><strong>Background: </strong>Aortic valve calcification (AVC) has been shown to be a powerful assessment of aortic stenosis (AS) severity and a predictor of adverse outcomes. However, its accuracy in patients with low-flow AS has not yet been proven. The objective of the study was to assess the predictive value of AVC in patients with classical low-flow (CLF, that is, low-flow reduced left ventricular ejection fraction) or paradoxical low-flow (PLF, that is, low-flow preserved left ventricular ejection fraction) AS.</p><p><strong>Methods: </strong>We prospectively included 641 patients, 319 (49.8%) with CLF-AS and 322 (50.2%) with PLF-AS, who underwent Doppler echocardiography and multidetector computed tomography. AVC ratio (AVCratio) was calculated as AVC divided by the sex-specific AVC threshold for AS severity; AVC score ≥2000 Agatston units in male patients and ≥1200 Agatston units in female patients. The primary end point of the study was all-cause mortality regardless of treatment.</p><p><strong>Results: </strong>Sex-specific AVC thresholds identified AS severity correctly in 137 (87%) of the patients. During a median follow-up of 4.9 (4.3-5.9) years, there were 265 deaths. After comprehensive adjustment, AVCratio was associated with all-cause mortality in patients with CLF-AS (adjusted hazard ratio, 1.25 [95% CI, 1.01-1.56]; <i>P</i>=0.046) and PLF-AS (adjusted hazard ratio, 1.51 [95% CI, 1.14-2.00]; <i>P</i>=0.004). There was an interaction (<i>P</i>=0.001) between AVC and AS flow patterns (ie, CLF versus PLF) with regard to the prediction of mortality. The best AVCratio threshold to predict mortality was different in patients with CLF-AS (AVCratio ≥0.7) and PLF-AS (AVCratio ≥1). After a comprehensive analysis, AVCratio as a dichotomic variable was associated with all-cause mortality in all groups (<i>P</i>≤0.001). The addition of AVCratio to the models improved all models' predictive value (all net reclassification index >18%; all <i>P</i>≤0.05).</p><p><strong>Conclusions: </strong>In patients with CLF-AS or PLF-AS, AVC is a major predictor of mortality. Thus, AVC should be used in low-flow patients to assess AS severity and stratify risk. Importantly, in patients with reduced left ventricular ejection fraction, a nonsevere AS (ie, AVC 70% of severe) could be associated with reduced survival.</p>","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":" ","pages":"e017122"},"PeriodicalIF":6.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142945696","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}
Mark Lachmann, Vera Fortmeier, Lukas Stolz, Márton Tokodi, Attila Kovács, Amelie Hesse, Antonia Leipert, Elena Rippen, Héctor Alfonso Alvarez Covarrubias, Moritz von Scheidt, Jule Tervooren, Ferdinand Roski, Michelle Fett, Muhammed Gerçek, Tibor Schuster, Gerhard Harmsen, Shinsuke Yuasa, N Patrick Mayr, Adnan Kastrati, Heribert Schunkert, Michael Joner, Erion Xhepa, Karl-Ludwig Laugwitz, Jörg Hausleiter, Volker Rudolph, Teresa Trenkwalder
{"title":"Deep Learning-Enabled Assessment of Right Ventricular Function Improves Prognostication After Transcatheter Edge-to-Edge Repair for Mitral Regurgitation.","authors":"Mark Lachmann, Vera Fortmeier, Lukas Stolz, Márton Tokodi, Attila Kovács, Amelie Hesse, Antonia Leipert, Elena Rippen, Héctor Alfonso Alvarez Covarrubias, Moritz von Scheidt, Jule Tervooren, Ferdinand Roski, Michelle Fett, Muhammed Gerçek, Tibor Schuster, Gerhard Harmsen, Shinsuke Yuasa, N Patrick Mayr, Adnan Kastrati, Heribert Schunkert, Michael Joner, Erion Xhepa, Karl-Ludwig Laugwitz, Jörg Hausleiter, Volker Rudolph, Teresa Trenkwalder","doi":"10.1161/CIRCIMAGING.124.017005","DOIUrl":"https://doi.org/10.1161/CIRCIMAGING.124.017005","url":null,"abstract":"<p><strong>Background: </strong>Right ventricular (RV) function has a well-established prognostic role in patients with severe mitral regurgitation (MR) undergoing transcatheter edge-to-edge repair (TEER) and is typically assessed using echocardiography-measured tricuspid annular plane systolic excursion. Recently, a deep learning model has been proposed that accurately predicts RV ejection fraction (RVEF) from 2-dimensional echocardiographic videos, with similar diagnostic accuracy as 3-dimensional imaging. This study aimed to evaluate the prognostic value of the deep learning-predicted RVEF values in patients with severe MR undergoing TEER.</p><p><strong>Methods: </strong>This multicenter registry study analyzed the associations between the predicted RVEF values and 1-year mortality in patients with severe MR undergoing TEER. To predict RVEF, 2-dimensional apical 4-chamber view videos from preprocedural transthoracic echocardiographic studies were exported and processed by a rigorously validated deep learning model.</p><p><strong>Results: </strong>Good-quality 2-dimensional apical 4-chamber view videos could be retrieved for 1154 patients undergoing TEER between 2017 and 2023. Survival at 1 year after TEER was 84.7%. The predicted RVEF values ranged from 26.6% to 64.0% and correlated only modestly with tricuspid annular plane systolic excursion (Pearson <i>R</i>=0.33; <i>P</i><0.001). Importantly, predicted RVEF was superior to tricuspid annular plane systolic excursion levels in predicting 1-year mortality after TEER (area under the curve, 0.687 versus 0.625; <i>P</i>=0.029). Furthermore, Kaplan-Meier survival analysis revealed that patients with reduced RV function (n=723; defined as a predicted RVEF of <45%) had significantly worse 1-year survival rates than patients with preserved RV function (n=431; defined as a predicted RVEF of ≥45%; 80.3% [95% CI, 77.4%-83.3%] versus 92.1% [95% CI, 89.5%-94.7%]; hazard ratio for 1-year mortality, 2.67 [95% CI, 1.82-3.90]; <i>P</i><0.001).</p><p><strong>Conclusions: </strong>Deep learning-enabled assessment of RV function using standard 2-dimensional echocardiographic videos can refine the prognostication of patients with severe MR undergoing TEER. Thus, it can be used to screen for patients with RV dysfunction who might benefit from intensified follow-up care.</p>","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":"18 1","pages":"e017005"},"PeriodicalIF":6.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143000733","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}
Valeria Cammalleri, Mariagrazia Piscione, Valeria Maria De Luca, Giorgio Antonelli, Nino Cocco, Annunziata Nusca, Dario Gaudio, Edoardo Nobile, Federica Coletti, Antonio Bianchi, Giovanni Schinzari, Francesco Grigioni, Gian Paolo Ussia
{"title":"Carcinoid Pulmonary Valve Stenosis: Multimodality Imaging and Transcatheter Valve Implant With Prestenting Technique.","authors":"Valeria Cammalleri, Mariagrazia Piscione, Valeria Maria De Luca, Giorgio Antonelli, Nino Cocco, Annunziata Nusca, Dario Gaudio, Edoardo Nobile, Federica Coletti, Antonio Bianchi, Giovanni Schinzari, Francesco Grigioni, Gian Paolo Ussia","doi":"10.1161/CIRCIMAGING.124.016785","DOIUrl":"10.1161/CIRCIMAGING.124.016785","url":null,"abstract":"","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":" ","pages":"e016785"},"PeriodicalIF":6.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142035427","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":"When Is Enough Enough? Additional Evidence of the Power of Zero.","authors":"Matthew J Budoff","doi":"10.1161/CIRCIMAGING.124.017714","DOIUrl":"10.1161/CIRCIMAGING.124.017714","url":null,"abstract":"","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":" ","pages":"e017714"},"PeriodicalIF":6.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142863526","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}
El-Moatasem Gabr, Amr Darwish, Mohammed A Chamsi-Pasha
{"title":"Rare Presentation and Treatment Strategy of Acute Myocardial Infarction in a Young Patient.","authors":"El-Moatasem Gabr, Amr Darwish, Mohammed A Chamsi-Pasha","doi":"10.1161/CIRCIMAGING.124.017546","DOIUrl":"https://doi.org/10.1161/CIRCIMAGING.124.017546","url":null,"abstract":"","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":" ","pages":"e017546"},"PeriodicalIF":6.5,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142846011","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}