Circulation: Cardiovascular Imaging最新文献

{"title":"Sex-Specific Impact of Angiotensin Receptor Blockers on the Progression of Aortic Stenosis in Patients With Hypertension: Results From the HYTAS Study.","authors":"Karolanne Demers, Kathia Abdoun, Philippe Pibarot, Lionel Tastet, Mulham Ali, Erwan Salaun, Paul Poirier, Andréanne Powers, Jordi Dahl, Jonathan Beaudoin, Marie-Annick Clavel","doi":"10.1161/CIRCIMAGING.124.017913","DOIUrl":"https://doi.org/10.1161/CIRCIMAGING.124.017913","url":null,"abstract":"","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":" ","pages":"e017913"},"PeriodicalIF":6.5,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143763067","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":"Cervical Circumflex Aortic Arch: A Rare Vascular Anomaly and Its Surgical Correction.","authors":"Hüseyin Sicim, Daniel A Velez, Mohamad Alaeddine","doi":"10.1161/CIRCIMAGING.125.018062","DOIUrl":"https://doi.org/10.1161/CIRCIMAGING.125.018062","url":null,"abstract":"","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":" ","pages":"e018062"},"PeriodicalIF":6.5,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143763066","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":"AI-Quantitative CT Coronary Plaque Features Associate with a Higher Relative Risk in Women: CONFIRM2-Registry.","authors":"Gudrun M Feuchtner, Pietro G Lacaita, Jeroen J Bax, Fatima Rodriguez, Rine Nakanishi, Gianluca Pontone, Saima Mushtaq, Ronny R Buechel, Christoph Gräni, Amit R Patel, Cristiane C Singulane, Andrew D Choi, Mouaz Al-Mallah, Daniele Andreini, Ronald P Karlsberg, Geoffrey W Cho, Carlos E Rochitte, Mirvat Alasnag, Ashraf Hamdan, Filippo Cademartiri, Erica Maffei, Hugo Marques, Pedro M Gonçalves Pereira, Himanshu Gupta, Martin Hadamitzky, Omar Khalique, Dinesh Kalra, James D Mills, Nick S Nurmohamed, Paul Knaapen, Matthew Budoff, Kashif Shaikh, Enrico Martin, David M German, Maros Ferencik, Andrew C Oehler, Roderick Deaño, Prashant Nagpal, Marly van Assen, Carlo Nicola De Cecco, Borek Foldyna, Jan Michael Brendel, Victor Y Cheng, Kelley Branch, Marcio Bittencourt, Sabha Bhatti, Venkateshwar Polsani Md, George Wesbey, Rhanderson Cardoso, Ron Blankstein, Augustin Delago, Amit Pursnani, Amro Alsaid, Stephen Bloom, Vasileios Kamperidis, Fabian Barbieri, Melissa Aquino, Ibrahim Danad, Alexander van Rosendael","doi":"10.1161/CIRCIMAGING.125.018235","DOIUrl":"https://doi.org/10.1161/CIRCIMAGING.125.018235","url":null,"abstract":"<p><p><b>Background:</b> Coronary plaque features are imaging biomarkers of cardiovascular risk, but less is known about sex-specific patterns in their prognostic value. This study aimed to define sex differences in the coronary atherosclerotic phenotypes assessed by artificial intelligence-based quantitative coronary computed tomography (AI-QCT) and the associated risk of major adverse cardiovascular events (MACE). <b>Methods:</b> Global multicenter registry (CONFIRM2) including symptomatic patients with suspicion of CAD referred for coronary CTA. AI-QCT analyzed 16 CAD features. Primary endpoint was MACE defined as death, myocardial infarction, late revascularization, cerebrovascular events, unstable angina and congestive heart failure. <b>Results:</b> Among 3551 patients (mean age 59±12 years, 49.5% women), MACE occurred in 3.2% of women and 6.1% of men during an average follow-up of 4.8±2.2 years. The AI-QCT features total plaque volume (TPV), noncalcified plaque (NCP), calcified plaque (CP) and percentage atheroma volume (PAV) were significantly higher in men (p<0.001), and high-risk plaque (HRP) was more prevalent (9.2% vs 2.5%, p<0.0001). Independent of age and cardiovascular risk factors, the AI-QCT derived features of TPV, NCP, CP, and PAV conferred a higher relative risk of MACE in women than men. For every 50mm3 increase in TPV, relative risk increased by 17.7% (95% CI 1.12-1.24) in women vs 5.3% (95% CI 1.03-1.07) in men (p-interaction<0.001), for NCP relative risk increased by 27.1% (95% CI 1.17-1.38) vs 11.6% (95% CI 1.08-1.15) (p-interaction = 0.0015), and for CP, by 22.9% (95% CI 1.14-1.33) vs 5.4% (95% CI 1.01-1.10) (p-interaction = 0.0012), respectively. Similarly, for PAV the risk was higher in women. The findings remained unchanged when restricted to a secondary composite endpoint (death and myocardial infarction). <b>Conclusions:</b> The AI-QCT plaque features TPV, NCP, CP and PAV conferred a higher relative MACE risk in women and may prompt more aggressive anti-atherosclerotic therapy and reinforced preventive interventions.</p>","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143751268","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":"Quantitative Coronary Artery Plaque Parameters and Severity of Ischemia in Patients With INOCA.","authors":"Johanna Ben-Ami Lerner, Mitchell Pleasure, James K Min, Michael H Picard, Jesus Peteiro, Roxy Senior, Jelena Celutkiene, Michael D Shapiro, Patricia A Pellikka, Alexandre Schaan de Quadros, Benjamin J W Chow, Jacqueline E Tamis-Holland, Fatima Rodriguez, Jerome L Fleg, David J Maron, Judith S Hochman, Harmony R Reynolds","doi":"10.1161/CIRCIMAGING.124.017367","DOIUrl":"https://doi.org/10.1161/CIRCIMAGING.124.017367","url":null,"abstract":"","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":" ","pages":"e017367"},"PeriodicalIF":6.5,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143751270","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":"Growth of Multimodality Cardiac Imagers in the United States, 2013-2022.","authors":"Ahmed Sayed, Mahmoud Al Rifai, Maria Alwan, Ahmad El Yaman, Asim Shaikh, William Zoghbi, Mouaz H Al-Mallah","doi":"10.1161/CIRCIMAGING.124.017953","DOIUrl":"https://doi.org/10.1161/CIRCIMAGING.124.017953","url":null,"abstract":"","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":" ","pages":"e017953"},"PeriodicalIF":6.5,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741815","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":"Vasospastic Angina: How Much Can We Know Before Provocative Testing?","authors":"Khaled M Ziada","doi":"10.1161/CIRCIMAGING.125.018177","DOIUrl":"https://doi.org/10.1161/CIRCIMAGING.125.018177","url":null,"abstract":"","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":" ","pages":"e018177"},"PeriodicalIF":6.5,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143718028","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":"Artificial Intelligence-Enhanced Analysis of Echocardiography-Based Radiomic Features for Myocardial Hypertrophy Detection and Etiology Differentiation.","authors":"Inki Moon, Jina Lee, Seung-Ah Lee, Dawun Jeong, Jaeik Jeon, Yeonggul Jang, Sihyeon Jeong, Jiyeon Kim, Hong-Mi Choi, In-Chang Hwang, Youngtaek Hong, Goo-Yeong Cho, Yeonyee E Yoon, Hyuk-Jae Chang","doi":"10.1161/CIRCIMAGING.124.017436","DOIUrl":"https://doi.org/10.1161/CIRCIMAGING.124.017436","url":null,"abstract":"<p><strong>Background: </strong>While echocardiography is pivotal for detecting left ventricular hypertrophy (LVH), it struggles with etiology differentiation. To enhance LVH assessment, we aimed to develop an artificial intelligence algorithm using echocardiography-based radiomics. This algorithm is designed to detect LVH and differentiate its common etiologies, such as hypertrophic cardiomyopathy (HCM), cardiac amyloidosis (CA), and hypertensive heart disease (HHD), based on echocardiographic images.</p><p><strong>Methods: </strong>The developmental data sets from multiple medical centers included 867 subjects, with an independent external test set from a single tertiary medical center containing 619 subjects. Radiomic feature analysis was conducted on 4 echocardiographic views, extracting both conventional and harmonization-driven myocardial textures along with myocardial geographic features. Then, we developed classification models for each condition. Variable contributions were evaluated using Shapley Additive Explanations analysis.</p><p><strong>Results: </strong>The radiomics-based LightGBM model, selected from internal validation, maintained strong performance in the external test set (area under the curve of 0.96 for HCM, 0.89 for CA, and 0.86 for HHD). Compared with the logistic regression model using conventional echocardiographic parameters (left ventricular ejection fraction, left ventricular mass index, left atrial volume index, and E/e'), the final model demonstrated superior sensitivity (0.89 versus 0.80 for HCM, 0.80 versus 0.80 for CA, and 0.75 versus 0.33 for HHD) and F1-score (0.87 versus 0.57 for HCM, 0.84 versus 0.72 for CA, and 0.82 versus 0.50 for HHD). Feature analysis highlighted that harmonization-driven textures played a key role in differentiating HCM, while conventional textures and myocardial thickness were influential in differentiating CA and HHD.</p><p><strong>Conclusions: </strong>This study confirms that artificial intelligence-enhanced echocardiography-based radiomics effectively differentiate the etiology of LVH, highlighting the potential of artificial intelligence-driven texture and geographic analysis in LVH evaluation.</p>","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":" ","pages":"e017436"},"PeriodicalIF":6.5,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143718012","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":"Is 4D CMR Sufficient for Preoperative Planning?","authors":"Sara Santiaguel, Laura Schoeneberg, Jessie Hu, Charles Huddleston, Wilson King","doi":"10.1161/CIRCIMAGING.124.017802","DOIUrl":"https://doi.org/10.1161/CIRCIMAGING.124.017802","url":null,"abstract":"","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":" ","pages":"e017802"},"PeriodicalIF":6.5,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143728990","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":"Determinants and Prognostic Value of Early Gadolinium Enhancement-Derived Myocardial Salvage Index in STEMI.","authors":"Jin-Yi Xiang, Jin-Yu Zheng, Yi-Si Dai, Ling-Yi Yu, Yu-Fan Qian, Wei-Hui Xie, Ruo-Yang Shi, Bing-Hua Chen, Jun Pu, Lian-Ming Wu","doi":"10.1161/CIRCIMAGING.124.017830","DOIUrl":"https://doi.org/10.1161/CIRCIMAGING.124.017830","url":null,"abstract":"<p><strong>Background: </strong>T2-weighted imaging is commonly used to measure myocardial salvage in reperfused myocardial infarction but is hindered by poor reproducibility and indistinct boundaries. Early gadolinium enhancement (EGE) emerges as an alternative for measuring the area at risk. This study aims to evaluate the determinants of the myocardial salvage index (MSI) derived from EGE and its prognostic implications.</p><p><strong>Methods: </strong>We analyzed acute cardiac magnetic resonance scans of 453 reperfused patients with ST-segment-elevation myocardial infarction (mean age, 60±12 years; 389 men) from April 2017 to July 2023 at a single center retrospectively. EGE was collected at 3 minutes after contrast agent injection, where hyperintense areas (signal intensities > mean+2SD of remote myocardium) were considered as the area at risk, plus the hypointense core within. MSI was calculated as the ratio of salvageable myocardium to the area at risk. Major adverse cardiovascular events included cardiovascular death, hospitalization for heart failure, reinfarction, and unplanned revascularization for the target vessel.</p><p><strong>Results: </strong>During a median follow-up of 3.2 years (interquartile range, 1.6-4.7 years), at least one major adverse cardiac event occurred in 91 participants (20.1%). The median MSI was 35.0% (interquartile range, 22.9-59.5%), with smaller MSI observed in patients with larger infarcts (<i>P</i><0.001). Linear regression identified prepercutaneous coronary intervention Thrombolysis in Myocardial Infarction flow (β=3.35, <i>P</i><0.001) and microvascular obstruction (β=-11.92, <i>P</i><0.001) as independent determinants of MSI. Multivariable Cox regression showed that every 10% increase in MSI was associated with a 32% reduction in major adverse cardiac event risk (hazard ratio, 0.68 [95% CI, 0.53-0.86]; <i>P</i>=0.001). A graded response was observed between MSI and cardiovascular death and reinfarction. MSI greater than the median was associated with nontarget vessel-related reinfarctions but not target vessel-related ones (nontarget, <i>P</i>=0.027; target vessel, <i>P</i>=0.36). Good reproducibility was reported with EGE-measured area at risk (intraobserver, intraclass correlation coefficient [ICC]=0.95; interobserver, ICC=0.89).</p><p><strong>Conclusions: </strong>EGE-derived MSI was associated with prepercutaneous coronary intervention Thrombolysis in Myocardial Infarction flow and microvascular injuries. It was an independent predictor of major adverse cardiac events. Our results highlight the prognostic potential of EGE imaging in acute myocardial infarction.</p>","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":" ","pages":"e017830"},"PeriodicalIF":6.5,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143691337","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":"Utility of 3D Intracardiac Echocardiography in TriClip: A Future Without Transesophageal Echocardiography?","authors":"Fei Yu, Scott Dougherty, Kent Chak-Yu So, Kevin Ka-Ho Kam, Chenxu Zhao, Xinghua Shan, Alex Pui-Wai Lee","doi":"10.1161/CIRCIMAGING.124.017738","DOIUrl":"https://doi.org/10.1161/CIRCIMAGING.124.017738","url":null,"abstract":"","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":" ","pages":"e017738"},"PeriodicalIF":6.5,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143691338","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}