Journal of cardiovascular computed tomography最新文献

{"title":"Automated quantitative assessment of pulmonary congestion from coronary CT angiography.","authors":"Anne Sophie Overgaard Olesen, Andreas Fabricius-Bjerre, Kristina Miger, Jens Petersen, Jørgen Tobias Kühl, Klaus Fuglsang Kofoed, Olav Wendelboe Nielsen","doi":"10.1016/j.jcct.2025.01.002","DOIUrl":"https://doi.org/10.1016/j.jcct.2025.01.002","url":null,"abstract":"","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142985674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modern CT detector technology and innovations in image reconstruction enhance cardiovascular CT.","authors":"Juan Gaztanaga, Juan Lopez-Mattei","doi":"10.1016/j.jcct.2024.12.090","DOIUrl":"https://doi.org/10.1016/j.jcct.2024.12.090","url":null,"abstract":"","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143030526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting mortality after transcatheter aortic valve replacement using AI-based fully automated left atrioventricular coupling index.","authors":"Emese Zsarnoczay, Akos Varga-Szemes, U Joseph Schoepf, Saikiran Rapaka, Daniel Pinos, Gilberto J Aquino, Nicola Fink, Milan Vecsey-Nagy, Giuseppe Tremamunno, Dmitrij Kravchenko, Muhammad Taha Hagar, Nicholas S Amoroso, Daniel H Steinberg, Athira Jacob, Jim O'Doherty, Puneet Sharma, Pal Maurovich-Horvat, Tilman Emrich","doi":"10.1016/j.jcct.2024.12.082","DOIUrl":"https://doi.org/10.1016/j.jcct.2024.12.082","url":null,"abstract":"<p><strong>Background: </strong>This study aimed to determine whether artificial intelligence (AI)-based automated assessment of left atrioventricular coupling index (LACI) can provide incremental value above other traditional risk factors for predicting mortality among patients with severe aortic stenosis (AS) undergoing coronary CT angiography (CCTA) before transcatheter aortic valve replacement (TAVR).</p><p><strong>Methods: </strong>This retrospective study evaluated patients with severe AS who underwent CCTA examination before TAVR between September 2014 and December 2020. An AI-prototype software fully automatically calculated left atrial and left ventricular end-diastolic volumes and LACI was defined by the ratio between them. Uni- and multivariate Cox proportional hazard methods were used to identify the predictors of mortality in models adjusting for relevant significant parameters and Society of Thoracic Surgeons Predicted Risk of Mortality (STS-PROM) score.</p><p><strong>Results: </strong>A total of 656 patients (77 years [IQR, 71-84 years]; 387 [59.0 ​%] male) were included in the final cohort. The all-cause mortality rate was 21.6 ​% over a median follow-up time of 24 (10-40) months. When adjusting for clinical confounders, LACI ≥43.7 ​% independently predicted mortality (adjusted HR, 1.52, [95 ​% CI: 1.03, 2.22]; p ​= ​0.032). After adjusting for the STS-PROM score in a separate model, LACI ≥43.7 ​% remained an independent prognostic parameter (adjusted HR, 1.47, [95 ​% CI: 1.03-2.08]; p ​= ​0.031). In a sub-analysis of patients with preserved left ventricular ejection fraction, LACI remained a significant predictor (adjusted HR, 1.72 [95 ​% CI: 1.02, 2.89]; p ​= ​0.042).</p><p><strong>Conclusions: </strong>AI-based fully automated assessment of LACI can be used independently to predict mortality in patients undergoing TAVR, including those with preserved LVEF.</p>","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142967666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of diabetes mellitus on coronary artery plaque characteristics and outcomes in the SCOT-HEART trial.","authors":"Zuzanna M Gebert, Jacek Kwiecinski, Jonathan R Weir-McCall, Philip D Adamson, Nicholas L Mills, Giles Roditi, Edwin J R van Beek, Edward D Nicol, Daniel S Berman, Piotr J Slomka, Marc R Dweck, Damini Dey, David E Newby, Michelle C Williams","doi":"10.1016/j.jcct.2024.12.083","DOIUrl":"https://doi.org/10.1016/j.jcct.2024.12.083","url":null,"abstract":"<p><strong>Background: </strong>Diabetes mellitus is an established cardiovascular risk factor. We assessed the impact of diabetes mellitus on quantitative plaque and long-term outcomes in patients with and without diabetes mellitus in the Scottish COmputed Tomography of the HEART (SCOT-HEART) trial.</p><p><strong>Methods: </strong>Coronary artery calcium (CAC) was assessed on non-contrast computed tomography (CT). Coronary stenoses, visually assessed adverse plaque characteristics and quantitative plaque burdens (calcified, non-calcified, low attenuation and total, Autoplaque 2.5) were assessed on coronary CT angiography. Multivariable and survival analyses were performed.</p><p><strong>Results: </strong>Images of 1769 patients were assessed (56 ​% male, 58 ​± ​9 years). Diabetes mellitus was present in 196 (11 ​%) patients. Patients with diabetes mellitus had higher 10-year cardiovascular risk score (29 [interquartile range 21, 40] versus 15 [9, 21] %, p ​< ​0.001) and CAC score (71 [1, 447] versus 17 [0, 209] Agatston units, p ​< ​0.001), but were not more likely to have obstructive disease or visually assessed adverse plaque characteristics. Patients with diabetes mellitus had higher quantitatively assessed calcified, non-calcified, low attenuation and total plaque burdens. After adjustment for age and sex, diabetes mellitus was an independent predictor of calcified plaque burden (p ​= ​0.009), but not the other plaque types. During 8.7 [IQR 8, 9.6] years follow-up, diabetes mellitus was associated with an increased risk of fatal or non-fatal myocardial infarction, adjusted for age and sex (hazard ratio 1.85, 95 ​% confidence interval 1.09 to 3.17, p ​= ​0.024).</p><p><strong>Conclusion: </strong>Diabetes mellitus was an independent predictor of quantitatively assessed plaque burden, particularly calcified plaque, and was associated with an increased risk of myocardial infarction.</p>","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142960675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The RUCkus around plaque.","authors":"Tyler Coombes, Shone Almeida, Mathew Budoff, Kashif Shaikh","doi":"10.1016/j.jcct.2024.12.002","DOIUrl":"https://doi.org/10.1016/j.jcct.2024.12.002","url":null,"abstract":"","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142967667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Linking physiology to findings on invasive and non-invasive tests for the diagnosis of constrictive pericarditis.","authors":"Jonathan Pan, Todd C Villines","doi":"10.1016/j.jcct.2024.12.084","DOIUrl":"https://doi.org/10.1016/j.jcct.2024.12.084","url":null,"abstract":"","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142916517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Anatomic characteristics of the right aortic arch with aberrant left subclavian artery in patients who do and do not undergo vascular ring repair.","authors":"Pakaparn Kittichokechai, Shanique Sterling-Lovy, Stuart R Lipsitz, Nao Sasaki, Christopher W Baird, Peter Chiu, Benjamin Zendejas, Robert J Smalley, Daniel A Castellanos","doi":"10.1016/j.jcct.2024.12.001","DOIUrl":"https://doi.org/10.1016/j.jcct.2024.12.001","url":null,"abstract":"<p><strong>Introduction: </strong>It is unclear if certain anatomic characteristics in patients with a right aortic arch with aberrant left subclavian artery (RAA ALSCA) are associated with undergoing surgical repair.</p><p><strong>Methods: </strong>This was a single-center retrospective study of patients with RAA ALSCA and computed tomography or cardiovascular magnetic resonance from July 2013-September 2023. The size of the proximal ALSCA or diverticulum of Kommerell (DoK), thoracic inlet index, angle of the proximal ALSCA/DoK from the aortic arch, the position of descending aorta, location of the DoK, and tracheal size were compared between patients who did or did not undergo surgery.</p><p><strong>Results: </strong>Of 163 patients meeting inclusion criteria, 56 ​% underwent surgery. Surgical patients had a larger indexed proximal ALSCA/DoK diameter and area, a higher indexed distance between the tip of the DoK and the opposite aortic wall, a greater proximal-to-distal LSCA ratio, a less acute angle of the proximal ALSCA/DoK from the aortic arch, a more leftward DoK location, and a lower thoracic inlet index compared to non-surgical patients. A larger indexed proximal ALSCA/DoK diameter, with an optimal threshold of ≥13.78 ​mm/m², and a more leftward DoK location were independently associated with surgery. The reoperation rate was 11 ​%, and was associated with a less acute angle of the proximal ALSCA from the aortic arch.</p><p><strong>Conclusions: </strong>A larger proximal ALSCA/DoK size and a more leftward DoK location were associated with surgical repair of RAA ALSCA, while a less acute angle of proximal ALSCA from the aortic arch was associated with reoperation.</p>","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142824981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How cardiac computed tomography angiography and positron emission tomography play complementary roles in a Practice's business model.","authors":"Renée P Bullock-Palmer, Andrew J Einstein, Monvadi B Srichai","doi":"10.1016/j.jcct.2024.11.003","DOIUrl":"https://doi.org/10.1016/j.jcct.2024.11.003","url":null,"abstract":"<p><p>Cardiovascular imaging is fundamental and crucial for providing accurate diagnosis and guiding treatment. There are unique clinical benefits and uses of Cardiac CT as well as cardiac PET. There have been advances in cardiac PET as well as Cardiac CT which have led to novel applications. These novel applications also expand clinical practice and increase downstream referrals, testing and procedures which therefore increases business revenue. Cardiac CT adoption in practice expands business by incrementally increased use in a larger patient population. Cardiac CT does not decrease utility of other imaging modalities but ensures more appropriate use of other imaging modalities. There are upfront costs that need to be considered when adopting cardiac CT or cardiac PET. Although the upfront costs for both modalities are high and the Medicare reimbursement of cardiac CT relative to cardiac PET is lower, the ability to perform five times more cardiac CT studies per day compared with cardiac PET studies offsets the decreased reimbursement for cardiac CT. Additionally, there is a good return on investment for cardiac CT especially resulting from increased downstream testing and referrals for procedures and cardiology clinic follow up and from more efficient use of cardiac catheterization lab resources. Cardiac PET also allows for more targeted revascularization in multivessel CAD. Adopting both modalities improves patient outcomes, streamlines care, and increases downstream revenue.</p>","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142820502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Very severe aortic valve stenosis: Diagnostic value of computed tomography aortic valve calcium scoring.","authors":"Matthias Hammerer, Christoph Knapitsch, Nikolaos Schörghofer, Michael Lichtenauer, Moritz Mirna, Erika Prinz, Wilfried Wintersteller, Klaus Hergan, Uta C Hoppe, Bernhard Scharinger, Elke Boxhammer","doi":"10.1016/j.jcct.2024.11.004","DOIUrl":"https://doi.org/10.1016/j.jcct.2024.11.004","url":null,"abstract":"<p><strong>Background: </strong>(A) Very severe aortic valve stenosis (VSAS; Vmax ≥ 5 ​m/s, MPG ≥60 ​mmHg) is a critical condition with unfavorable clinical outcomes. Guidelines regard VSAS as one criterion for considering valve replacement in asymptomatic patients. (B) Guidelines recommend the use of aortic valve calcium (AVC) scoring as a parameter to differentiate between moderate and severe aortic valve stenosis (SAS). The aim of our study is to propose AVC thresholds for the discrimination between SAS and VSAS.</p><p><strong>Methods: </strong>Data of patients from a single center who underwent transcatheter aortic valve implantation (n ​= ​523) were retrospectively analyzed. Patients with concordant AS (n ​= ​430) were divided into SAS (n ​= ​344) and VSAS (n ​= ​86) groups and compared in terms of absolute AVC and indexed AVC (body surface area; aortic valve annulus area).</p><p><strong>Results: </strong>Mean AVC was significantly higher in men (m) than in women (w), and significantly higher in VSAS than in SAS (m: SAS 3572.0 AU; VSAS 5465.0 AU; w: SAS 2252.5 AU; VSAS 3064.5 AU; all p ​< ​0,001). ROC curve analyses showed AVC to be a predictor of VSAS in both sexes (m: AUC 0.794; p ​< ​0.001; w: AUC 0.725; p ​< ​0.001), with optimal cut-off values of 3706.5 AU (m) and 2374.5 (w). Some indexed AVC had a slightly, but not relevantly, better predictive value.</p><p><strong>Conclusion: </strong>The proposed AVC thresholds - approximately 3700 AU (m) and 2400 AU (w) - showed significant predictive power to differentiate SAS from VSAS in the study cohort.</p>","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142788148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Resource utilization and healthcare management of invasive versus non-invasive strategy for cardiac allograft vasculopathy surveillance in heart transplantation.","authors":"Marta Belmonte, Pasquale Paolisso, Monika Beles, Michele Mattia Viscusi, Luca Bergamaschi, Angelo Sansonetti, Emanuele Gallinoro, Giuseppe Esposito, Monika Shumkova, Attilio Leone, Marco Masetti, Emanuele Barbato, Sofie Verstreken, Riet Dierckx, Ward Heggermont, Jan Van Keer, Luciano Potena, Carmine Pizzi, Jozef Bartunek, Marc Vanderheyden","doi":"10.1016/j.jcct.2024.11.002","DOIUrl":"https://doi.org/10.1016/j.jcct.2024.11.002","url":null,"abstract":"","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142775774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}