Journal of cardiovascular computed tomography最新文献

{"title":"Use of cardiac CT in the preoperative assessment for non-cardiac surgery - What are the guideline recommendations?","authors":"Logan Bernhardt, Renee P Bullock-Palmer","doi":"10.1016/j.jcct.2025.10.003","DOIUrl":"https://doi.org/10.1016/j.jcct.2025.10.003","url":null,"abstract":"","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145294839","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":"Fractal imaging: What is it and potential utility.","authors":"Venkat Krishnamoorthy, Girish Dwivedi","doi":"10.1016/j.jcct.2025.10.004","DOIUrl":"https://doi.org/10.1016/j.jcct.2025.10.004","url":null,"abstract":"","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145282406","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":"Response to Letter - referencing JCCT-D-25-426 ''Integrating radiomics into coronary computed tomography angiography: Enhancing prognostic value after percutaneous coronary intervention'' by Macit Kalçık et al.","authors":"Yunosuke Matsuura, Soichi Komaki, Yoshikazu Uchiyama, Koichi Kaikita","doi":"10.1016/j.jcct.2025.09.015","DOIUrl":"https://doi.org/10.1016/j.jcct.2025.09.015","url":null,"abstract":"","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145260256","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":"High-risk plaques in proximal and distal segments relative to graft anastomoses and non-grafted segments.","authors":"Pruthvi C Revaiah, Tsung-Ying Tsai, Jacopo Farina, Gonçalo Ferraz-Costa, Jochem Jongenotter, Asahi Oshima, Scot Garg, John D Puskas, Jagat Narula, Himanshu Gupta, Vikram Agarwal, Kaoru Tanaka, Johan De Mey, Mark La Meir, Ulrich Schneider, Hristo Kirov, Mushtaq Saima, Ulf Teichgräber, Giulio Pompilio, Gianluca Pontone, Daniele Andreini, Marie-Angele Morel, Torsten Doenst, Yoshinobu Onuma, Patrick W Serruys","doi":"10.1016/j.jcct.2025.09.013","DOIUrl":"https://doi.org/10.1016/j.jcct.2025.09.013","url":null,"abstract":"<p><strong>Background: </strong>Coronary artery bypass grafting (CABG) is the preferred invasive treatment option for complex coronary artery disease (CAD), bypassing flow-limiting lesions and high-risk plaques (HRP), thereby reducing clinical events. It also provides graft collateralization, preventing cardiac events due to proximal plaque rupture or erosion, and vessel occlusion. This study evaluated the prevalence of HRPs in segments proximal and distal to graft anastomoses and in non-grafted segments, using coronary computed tomography angiography (CCTA) in patients with left main and three-vessel disease enrolled in the FASTTRACK CABG study.</p><p><strong>Methods: </strong>Coronary segments were categorized as proximal, distal, or non-grafted. Segments ≥1.5 ​mm on CCTA were screened for HRP features: low-attenuation plaque, positive remodelling, spotty calcification, and napkin ring. Minimal lumen area (MLA) and plaque burden at MLA were assessed in segments ≥3 ​mm in diameter. Perivascular adipose tissue attenuation was evaluated in major coronary arteries.</p><p><strong>Results: </strong>In 102 patients, 1767 segments were analyzed: 986 proximal, 348 distal, and 341 non-grafted. HRP prevalence was highest in proximal segments (45.13 ​% vs. 8.33 ​% distal vs. 28.74 ​% non-grafted, p ​< ​0.001). Non-grafted vessels with a Fractional Flow Reserve Computed Tomography (FFR_CT) ≥0.80 had High-Risk Plaques (HRPs) in 40.38 ​% of cases, compared to 32.58 ​% for those with an FFR_CT <0.80. The prevalence of HRPs between patients or vessels with graft occlusions and those without, was similar. Likewise, there was no significant difference in perivascular fat attenuation between patients and vessels with and without HRP.</p><p><strong>Conclusions: </strong>In patients undergoing CABG for complex CAD, surgery effectively bypassed most HRPs, however, a substantial proportion remained in non-grafted vessels.</p><p><strong>Trial registration: </strong>NCT04142021.</p>","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145260283","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":"Incremental value of a CCTA-derived AI-based ischemia algorithm over standard CCTA interpretation of predicting myocardial ischemia in patients with suspected coronary artery disease.","authors":"Takeru Nabeta, Sarah Bär, Teemu Maaniitty, Henri Kärpijoki, Jeroen J Bax, Antti Saraste, Juhani Knuuti","doi":"10.1016/j.jcct.2025.09.014","DOIUrl":"https://doi.org/10.1016/j.jcct.2025.09.014","url":null,"abstract":"<p><strong>Background: </strong>A novel artificial intelligence-guided quantitative computed tomography ischemia algorithm (AI-QCT_ischemia) comprises a machine-learned method using atherosclerosis and vascular morphology features from coronary computed tomography angiography (CCTA) images to predict myocardial ischemia. This study evaluates the diagnostic performance of AI-QCT_ischemia compared to standard CCTA interpretation in detecting myocardial ischemia.</p><p><strong>Methods and results: </strong>Patients with suspected coronary artery disease (CAD) undergoing CCTA were analyzed, with ischemia detected by stress [¹⁵O]H₂O positron emission tomography (PET) as the reference. AI-QCT_ischemia analysis was successfully completed in 84 ​% of patients undergoing CCTA. A total of 1746 patients (mean age 62 ​± ​10 years, 44 ​% male) were included. In visual CCTA reading, 518 (30 ​%) patients had obstructive CAD, defined as diameter stenosis of ≥50 ​%. Myocardial ischemia on PET was detected in 325 (19 ​%) patients whereas AI-QCT_ischemia was positive in 430 (25 ​%) patients. The diagnostic accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the AI-QCT_ischemia for the assessment of myocardial ischemia were 87 ​%, 81 ​%, 88 ​%, 61 ​%, and 95 ​%, respectively, compared to 86 ​%, 93 ​%, 85 ​%, 58 ​%, and 98 ​% for visual CCTA reading. AI-QCT_ischemia demonstrated higher diagnostic accuracy, specificity, and positive predictive value, but lower sensitivity and negative predictive value than visual CCTA reading (p-value <0.001). Combining AI-QCT_ischemia with visual CCTA reading improved ischemia discrimination compared with visual CCTA reading alone (area under the receiver operating characteristic curve 0.899 vs. 0.868, p ​< ​0.001).</p><p><strong>Conclusions: </strong>Among patients with suspected CAD, the AI-guided CCTA-derived ischemia algorithm demonstrated improved specificity as compared with visual CCTA reading but this was at a cost of decreased sensitivity, resulting in a slight improvement in diagnostic accuracy for predicting PET-defined myocardial ischemia. These findings suggest that AI-QCT_ischemia may support clinicians in refining diagnostic decision-making and streamlining patient selection for further testing.</p>","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145260274","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":"Reply to the commentary by Dong et al.: Appraising the CCTA-SCAD study: Current challenges and future perspectives in diagnosing acute spontaneous coronary artery dissection.","authors":"Christos Pagonis, Mårten Sandstedt, Christian Dworeck, Erika Fagman, David Erlinge, David Adlam, Jonas Andersson, Mats Fredriksson, Natalie Glaser, Lilian Henriksson, Nina Johnston, Loghman Henareh, Hanna Markstad, Ellen Ostenfeld, Per Tornvall, Dimitrios Venetsanos, Kerstin Welén-Schef, Troels Yndigegn, Eva Swahn, Sofia Sederholm Lawesson","doi":"10.1016/j.jcct.2025.09.011","DOIUrl":"https://doi.org/10.1016/j.jcct.2025.09.011","url":null,"abstract":"","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145260271","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":"Appraising the CCTA-SCAD study: Current challenges and future perspectives in diagnosing acute spontaneous coronary artery dissection.","authors":"Weikai Dong, Guangjin Gao, Dayu Shi, Wei Li","doi":"10.1016/j.jcct.2025.09.010","DOIUrl":"https://doi.org/10.1016/j.jcct.2025.09.010","url":null,"abstract":"","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145245957","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":"Low and ultralow CAC: Signal, noise or something more?","authors":"Yara Jelwan, Michael J Blaha","doi":"10.1016/j.jcct.2025.09.012","DOIUrl":"https://doi.org/10.1016/j.jcct.2025.09.012","url":null,"abstract":"","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145234588","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":"Optimizing contrast administration in pediatric cardiovascular CT: Safety and technique.","authors":"Madhusudan Ganigara, Sarv Priya, Prashant Nagpal","doi":"10.1016/j.jcct.2025.09.008","DOIUrl":"https://doi.org/10.1016/j.jcct.2025.09.008","url":null,"abstract":"<p><p>Cardiac computed tomography angiography (CCTA) has become indispensable in the management of congenital heart disease, facilitating diagnosis, treatment planning, and longitudinal surveillance. The application of intravenous (IV) contrast agents is critical for enhancing vascular structures and elucidating intricate cardiac morphology. Nonetheless, administering these agents in pediatric CCTA encounters distinct challenges, primarily attributable to children's unique physiological attributes, including reduced body mass, elevated heart rates, and increased susceptibility to both contrast agents and radiation exposure. This review examines the strategic use of IV contrast in pediatric CCTA, with a focus on the various types of contrast agents available, their clinical indications, associated safety profiles, and strategies for maximizing diagnostic yield while mitigating potential risks.</p>","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145234613","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":"Quo Vadis artificial intelligence assisted analysis of coronary stenosis?","authors":"Maros Ferencik","doi":"10.1016/j.jcct.2025.09.007","DOIUrl":"https://doi.org/10.1016/j.jcct.2025.09.007","url":null,"abstract":"","PeriodicalId":94071,"journal":{"name":"Journal of cardiovascular computed tomography","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145214820","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}