Journal of cardiovascular computed tomography最新文献

{"title":"Non-invasive imaging innovation: FFR-CT combined with plaque characterization, safeguarding your cardiac health.","authors":"Jianjun Wu, Dawei Yang, Youqi Zhang, Huimin Xian, Ziqian Weng, Liu Ji, Fan Yang","doi":"10.1016/j.jcct.2024.08.008","DOIUrl":"https://doi.org/10.1016/j.jcct.2024.08.008","url":null,"abstract":"<p><p>Studies have shown that high-risk plaque features (including thin fibrous caps, lipid-rich cores, large plaque volumes, and intraplaque microcalcifications) are closely associated with the occurrence of acute coronary events. CT-derived fractional flow reserve (CT-FFR) is a non-invasive imaging post-processing technique that utilizes artificial intelligence to analyze data obtained from conventional coronary CT angiography (CCTA). FFR-CT technology offers the hemodynamic assessment of coronary lesions, aiding in the prediction of potential cardiovascular risks. This review summarizes the latest research progress on the complex relationship between FFR-CT, plaque characteristics, and hemodynamics, closely linking plaque volume, composition, and distribution with the clinical significance of coronary artery stenosis. It is hoped that these research findings will provide valuable guidance for clinicians, promoting the application of CT in the non-invasive detection of vulnerable plaques, thereby more effectively preventing and managing coronary artery disease. In the future, further optimization of FFR-CT technology and expansion of its clinical application are expected to significantly reduce the incidence and mortality of coronary artery disease, offering new hope for the prevention and treatment of cardiovascular diseases.</p>","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142304924","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":"Coding and coverage for cardiac CT in the era of algorithm-based healthcare procedures and services.","authors":"Cara Santillo, Kirsten Tullia, Richard A Frank","doi":"10.1016/j.jcct.2024.08.006","DOIUrl":"https://doi.org/10.1016/j.jcct.2024.08.006","url":null,"abstract":"<p><p>In order for patients to gain the benefit of innovation in cardiac CT, it is necessary for coding, coverage, and payment to adapt to the novelty of algorithm-based healthcare procedures and services (ABHS). Appendix S to the CPT Code Set, the \"AI Taxonomy\", enables creation of discrete and differentiable codes for reimbursement of ABHS which has been clinically validated and FDA-labeled. Payment policy in OPPS and PFS is evolving to take account of the unique opportunities and issues arising from the clinical adoption of ABHS.</p>","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142304921","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":"Cardiac CT angiography: Financial implications of different practice types.","authors":"Monvadi B Srichai, Ron Blankstein, Sylvia Lesic, Michelle C Williams","doi":"10.1016/j.jcct.2024.08.005","DOIUrl":"https://doi.org/10.1016/j.jcct.2024.08.005","url":null,"abstract":"<p><p>Cardiac computed tomography (CT) is an important diagnostic tool in the management of cardiovascular disease. Various factors influence the overall financial viability of a cardiac CT program, including hardware, software, personnel, billing, and practice type. This review offers a comprehensive analysis of these different cardiac CT costs, and how programs across various practice types manage them.</p>","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142094336","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":"Cardiac CT in the context of value-based care.","authors":"Ed Nicol, Leslee J Shaw","doi":"10.1016/j.jcct.2024.07.002","DOIUrl":"https://doi.org/10.1016/j.jcct.2024.07.002","url":null,"abstract":"<p><p>Cardiac computed tomography (CCT) is often used synonymously with coronary CT angiography (CCTA) and coronary artery calcium scoring (CACS), but also encompasses the use of CT for the assessment of structural, valvular, and congenital heart disease, and other cardiovascular pathology. This paper looks at the role of cardiac CT in the context of value-based care and predominantly focuses on the role of cardiac CT in the assessment of coronary artery disease (CAD), as this is where most of the clinical use and evidence of value can be found. Critical questions as to the defining of quality health care using cardiac CT are highllighted and the wider use of CT for the assessment of non-coronary disease is commented on towards the end of the manuscript but does not yet have the same level of health economic and value-based evidence.</p>","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142019920","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":"Regional and socioeconomic disparities in calcium scans.","authors":"Vincent Sachs, Christopher Scoma, Kashif Shaikh, Matthew Budoff, Shone Almeida","doi":"10.1016/j.jcct.2024.08.002","DOIUrl":"https://doi.org/10.1016/j.jcct.2024.08.002","url":null,"abstract":"<p><strong>Introduction: </strong>Disparities in cardiovascular care are well recognized, with socioeconomic status being one of the strongest determinants of cardiovascular disease outcomes. This study evaluates whether these disparities translate to coronary artery calcium (CAC) scan utilization. Specifically, we aim to describe regional variation and socioeconomic variables that impact CAC utilization across the United States relative to the prevalence of coronary artery disease (CAD) and related comorbidities.</p><p><strong>Methods: </strong>This cross-sectional study integrates county-level CAC utilization with CAD prevalence and publicly available socioeconomic variables including self-identified ethnicity, education, and adjusted gross income. CAC utilization rates were sourced from 2022 hospital commercial claims, outpatient Medicare service claims, and independent imaging center claims. Heart disease prevalence and socioeconomic variables were extracted from the Centers for Disease Control and Prevention and the National Center for Chronic Disease Prevention and Health Promotion. Adjusted gross income per capita was gathered from Internal Revenue Service data.</p><p><strong>Results: </strong>CAC utilization was evaluated across 808 counties within the United States, representing 600,379 claims. Median utilization was 1.62 scans per 1,000 persons with a range of 0.03 to 104.39. The West had the highest CAC scan utilization rate (median 3.09 scans per 1,000 persons) with a CAD prevalence of 548 per 100,000 persons. In contrast, the Midwest had the lowest utilization rate (median 1.24 scans per 1,000 persons) with a CAD prevalence of 635 per 100,000 persons. Socioeconomic factors that favor higher CAC utilization include a larger density of White/Caucasian ethnicity (p = 0.007) and a higher adjusted gross income per capita (p = 0.006). Counties with the lowest rates of CAC utilization have a higher population of African Americans (p <0.001) and a higher proportion of females (p <0.001).</p><p><strong>Conclusion: </strong>This analysis highlights regional and socioeconomic differences in CAC utilization in the United States. Under-represented ethnicities such as African Americans have among the lowest rates of CAC utilization despite having a higher burden and mortality from heart disease. Discordance between CAC utilization, heart disease prevalence and socioeconomic status reveals a need for targeted interventions and policies aimed at mitigating structural barriers that perpetuate health inequities.</p>","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141997128","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":"Unlocking the gates: Uptake of cardiac CT and barriers to wider adoption among primary care providers.","authors":"A Sequeira, D Feradov, S O Almeida","doi":"10.1016/j.jcct.2024.07.013","DOIUrl":"https://doi.org/10.1016/j.jcct.2024.07.013","url":null,"abstract":"","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141908712","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":"Redefining CAV surveillance strategies: Benefits of CCTA vs. ICA.","authors":"Valeria Pergola, Nicola Pradegan, Elena Cozza, Dan Alexandru Cozac, Irene Cao, Chiara Tessari, Maria Teresa Savo, Giuseppe Toscano, Annalisa Angelini, Vincenzo Tarzia, Giuseppe Tarantini, Francesco Tona, Giorgio De Conti, Sabino Iliceto, Gino Gerosa, Raffaella Motta","doi":"10.1016/j.jcct.2024.07.004","DOIUrl":"https://doi.org/10.1016/j.jcct.2024.07.004","url":null,"abstract":"<p><strong>Background: </strong>Cardiac allograft vasculopathy (CAV) assessment post-heart transplantation (HT) typically relies on invasive coronary angiography (ICA). However, cardiac computed tomography angiography (CCTA) is emerging as a promising alternative due to its potential benefits in economic, safety, and logistical aspects. This study aimed to evaluate the impact of a CCTA program on these aspects in CAV surveillance post-HT.</p><p><strong>Methods: </strong>A retrospective single-center study was conducted between March 2021 and February 2023, involving HT patients who underwent either CCTA or ICA.</p><p><strong>Results: </strong>Among 260 patients undergoing CAV surveillance, 115 (44.2%) patients underwent CCTA, and 145 (55.8%) patients underwent ICA. The CCTA group showed incurred lower overall costs (p ​< ​0.0001) and shorter hospitalization times (p ​< ​0.0001) compared to the ICA group. In terms of safety, CCTA surveillance required significantly lower contrast volumes (p ​< ​0.0001) and lower effective doses (p ​= ​0.03).</p><p><strong>Conclusion: </strong>CCTA emerges as a safe and cost-effective non-invasive alternative for CAV surveillance post-HT, outperforming ICA in terms of safety, logistical aspects, and economic burden.</p>","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141736214","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":"Lipoprotein(a) and coronary artery disease burden in patients with diabetes.","authors":"John P Salvas, Juhi Ramchandani, Purva Patel, Tarek Aridi, Keyur Vora, Olexandr Smolensky, Kristen Olsen, Rohan Dharmakumar, Subha V Raman","doi":"10.1016/j.jcct.2024.07.001","DOIUrl":"https://doi.org/10.1016/j.jcct.2024.07.001","url":null,"abstract":"","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141592443","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":"Distribution Of Coronary Plaque Subtypes Among Races Quantified By Automated Coronary Plaque Analysis","authors":"M. Erbay, S. Susarla, D. Lee, V. Manubolu, A. Kinninger, H. Sandhu, D. Behjatnia, O. Bikhazi, K. Ngo, A. Jung, I. Yusufu, T. Ahmad, Budoff M","doi":"10.1016/j.jcct.2024.05.169","DOIUrl":"https://doi.org/10.1016/j.jcct.2024.05.169","url":null,"abstract":"","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":"130 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141709023","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":"Comprehensive Assessment Of CT Hounsfield Unit Variation Within Patients, Scanners, And Integrated Measures","authors":"S. Krishnan, D. Li, S. Mao, F. Flores, Y. Gao, S. Luo, M. Budoff","doi":"10.1016/j.jcct.2024.05.150","DOIUrl":"https://doi.org/10.1016/j.jcct.2024.05.150","url":null,"abstract":"","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":"136 40","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141713783","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}