{"title":"Getting older by a decade after preeclampsia.","authors":"Amelie Paquin, Thais Coutinho","doi":"10.1016/j.jcct.2024.08.007","DOIUrl":"https://doi.org/10.1016/j.jcct.2024.08.007","url":null,"abstract":"","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142304923","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":null,"pages":null},"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}
Daisuke Kinoshita, Keishi Suzuki, Daichi Fujimoto, Takayuki Niida, Eisuke Usui, Yoshiyasu Minami, Damini Dey, Hang Lee, Iris McNulty, Junya Ako, Maros Ferencik, Tsunekazu Kakuta, Ik-Kyung Jang
{"title":"Relationship between plaque burden and plaque vulnerability: Acute coronary syndromes versus chronic coronary syndrome.","authors":"Daisuke Kinoshita, Keishi Suzuki, Daichi Fujimoto, Takayuki Niida, Eisuke Usui, Yoshiyasu Minami, Damini Dey, Hang Lee, Iris McNulty, Junya Ako, Maros Ferencik, Tsunekazu Kakuta, Ik-Kyung Jang","doi":"10.1016/j.jcct.2024.09.002","DOIUrl":"https://doi.org/10.1016/j.jcct.2024.09.002","url":null,"abstract":"<p><strong>Background: </strong>The relationship between plaque burden and microscopic characterization of plaque features as it pertains to clinical presentation has not been fully investigated. The aim of this study was to compare the relationship between plaque burden and plaque vulnerability in patients with acute coronary syndromes (ACS) versus chronic coronary syndrome (CCS).</p><p><strong>Methods: </strong>Patients who underwent both coronary computed tomography angiography (CTA) and optical coherence tomography (OCT) before coronary intervention were enrolled. All plaques were detected in culprit vessels using CTA, and total plaque volume (TPV) and OCT features were assessed at the corresponding sites. All plaques were divided into three groups according to the tertile levels of TPV (low TPV: <96.5 mm<sup>3</sup>, moderate TPV: 96.5-164.7 mm<sup>3</sup>, high TPV: ≥164.8 mm<sup>3</sup>).</p><p><strong>Results: </strong>A total of 990 plaques were imaged by OCT in 419 patients: 445 plaques in 190 (45.3%) patients with ACS and 545 in 229 (54.7%) with CCS. Macrophage was more prevalent in plaques with greater TPV in patients who presented with ACS but not in those who presented with CCS (low vs. moderate vs. high TPV group: macrophage 57.4% vs. 71.8% vs. 82.4% in ACS; 63.4% vs. 67.8% vs. 66.7% in CCS; interaction P = 0.004). Lipid arc increased as TPV increased, especially in patients who presented with ACS. Conversely, the layer index increased as TPV increased in patients with CCS.</p><p><strong>Conclusion: </strong>Greater plaque burden was closely related to higher levels of plaque vulnerability in ACS and greater volume of layered plaque in CCS.</p><p><strong>Trial registration: </strong>clinicaltrials.gov Identifier: NCT04523194.</p>","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142304925","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}
Michelle C Williams, Jonathan R Weir-McCall, Lauren A Baldassarre, Carlo N De Cecco, Andrew D Choi, Damini Dey, Marc R Dweck, Ivana Isgum, Márton Kolossvary, Jonathon Leipsic, Andrew Lin, Michael T Lu, Manish Motwani, Koen Nieman, Leslee Shaw, Marly van Assen, Edward Nicol
{"title":"Artificial intelligence and machine learning for cardiovascular computed tomography (CCT): A white paper of the society of cardiovascular computed tomography (SCCT).","authors":"Michelle C Williams, Jonathan R Weir-McCall, Lauren A Baldassarre, Carlo N De Cecco, Andrew D Choi, Damini Dey, Marc R Dweck, Ivana Isgum, Márton Kolossvary, Jonathon Leipsic, Andrew Lin, Michael T Lu, Manish Motwani, Koen Nieman, Leslee Shaw, Marly van Assen, Edward Nicol","doi":"10.1016/j.jcct.2024.08.003","DOIUrl":"https://doi.org/10.1016/j.jcct.2024.08.003","url":null,"abstract":"","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142116566","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}
Monvadi B Srichai, Ron Blankstein, Sylvia Lesic, Michelle C Williams
{"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":null,"pages":null},"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":null,"pages":null},"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}
Vincent Sachs, Christopher Scoma, Kashif Shaikh, Matthew Budoff, Shone Almeida
{"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":null,"pages":null},"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}
Andrea Baggiano, Francesca Baessato, Saima Mushtaq, Andrea Daniele Annoni, Francesco Cannata, Maria Ludovica Carerj, Alberico Del Torto, Fabio Fazzari, Alberto Formenti, Antonio Frappampina, Laura Fusini, Daniele Junod, Maria Elisabetta Mancini, Valentina Mantegazza, Riccardo Maragna, Francesca Marchetti, Francesco Paolo Sbordone, Luigi Tassetti, Alessandra Volpe, Marco Guglielmo, Alexia Rossi, Chiara Rovera, Mark G Rabbat, Andrea Igoren Guaricci, Claudio Cau, Luca Saba, Giovanni Berna, Chiarella Sforza, Mauro Pepi, Gianluca Pontone
{"title":"STress computed tomogRaphy perfusion and stress cArdiac magnetic resonance for ThE manaGement of suspected or known coronarY artery disease: resources and outcomes impact.","authors":"Andrea Baggiano, Francesca Baessato, Saima Mushtaq, Andrea Daniele Annoni, Francesco Cannata, Maria Ludovica Carerj, Alberico Del Torto, Fabio Fazzari, Alberto Formenti, Antonio Frappampina, Laura Fusini, Daniele Junod, Maria Elisabetta Mancini, Valentina Mantegazza, Riccardo Maragna, Francesca Marchetti, Francesco Paolo Sbordone, Luigi Tassetti, Alessandra Volpe, Marco Guglielmo, Alexia Rossi, Chiara Rovera, Mark G Rabbat, Andrea Igoren Guaricci, Claudio Cau, Luca Saba, Giovanni Berna, Chiarella Sforza, Mauro Pepi, Gianluca Pontone","doi":"10.1016/j.jcct.2024.08.001","DOIUrl":"https://doi.org/10.1016/j.jcct.2024.08.001","url":null,"abstract":"<p><strong>Background: </strong>The aim of this study is to describe resources and outcomes of coronary computed tomography angiography plus Stress CT perfusion (CCTA + Stress-CTP) and stress cardiovascular magnetic resonance (Stress-CMR) in symptomatic patients with suspected or known CAD.</p><p><strong>Methods: </strong>Six hundred and twenty-four consecutive symptomatic patients with intermediate to high-risk pretest likelihood for CAD or previous history of revascularization referred to our hospital for clinically indicated CCTA + Stress-CTP or Stress-CMR were enrolled. Stress-CTP scans were performed in 223 patients while 401 patients performed Stress-CMR. Patient follow-up was performed at 1 year after index test performance. Endpoints were all cardiac events, as a combined endpoint of revascularization, non-fatal MI and death, and hard cardiac events, as combined endpoint of non-fatal MI and death.</p><p><strong>Results: </strong>Twenty-nine percent of patients who underwent CCTA + Stress-CTP received revascularization, 7% of subjects assessed with Stress-CMR were treated invasively, and a low number of non-fatal MI and death was observed with both strategies (hard events in 0.4% of patients that had CCTA + Stress-CTP as index test, and in 3% of patients evaluated with Stress-CMR). According to the predefined endpoints, CCTA + Stress-CTP group showed high rate of all cardiac events and low rate of hard cardiac events, respectively. The cumulative costs were 1970 ± 2506 Euro and 733 ± 1418 Euro for the CCTA + Stress-CTP group and Stress-CMR group, respectively.</p><p><strong>Conclusions: </strong>The use of CCTA + Stress-CTP strategy was associated with high referral to revascularization but with a favourable trend in terms of hard cardiac events and diagnostic yield in identifying individuals at lower risk of adverse events despite the presence of CAD.</p>","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141989747","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":null,"pages":null},"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}
Liya Dai, Chenhui Zhou, Yanhua Huang, Fanghong Chen, Chenying Lu
{"title":"Truncus arteriosus with double aortic arch: A rare case in an unrepaired pregnant patient.","authors":"Liya Dai, Chenhui Zhou, Yanhua Huang, Fanghong Chen, Chenying Lu","doi":"10.1016/j.jcct.2024.07.011","DOIUrl":"https://doi.org/10.1016/j.jcct.2024.07.011","url":null,"abstract":"","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141877018","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}