Han Zhao, Yanlong Ren, Jiang Li, Mingduo Zhang, Lijun Zhang, Rongliang Chen, Jia Liu, Zhengzheng Yan, Xiantao Song
{"title":"基于计算机断层扫描得出的血流储备分数的虚拟支架术预测经皮冠状动脉介入术后功能结果:一项回顾性队列研究。","authors":"Han Zhao, Yanlong Ren, Jiang Li, Mingduo Zhang, Lijun Zhang, Rongliang Chen, Jia Liu, Zhengzheng Yan, Xiantao Song","doi":"10.3390/jcdd12090373","DOIUrl":null,"url":null,"abstract":"<p><p>With the advancement of fractional flow reserve (FFR) derived from computed tomography (FFR<sub>CT</sub>), virtual stenting technology has gradually developed. This study investigated the performance of virtual stenting based on FFR<sub>CT</sub> in predicting post-percutaneous coronary intervention (PCI) FFR. Data from 75 patients (78 blood vessels) was collected retrospectively. We randomly allocated the participants to discovery (<i>n</i> = 26) and validation (<i>n</i> = 52) cohorts. The FFR<sub>CT</sub> was calculated using pre-PCI coronary computed tomography angiography images. Virtual stent implantation was simulated using blinded and non-blinded virtual stenting methods to obtain post-virtual stenting FFR<sub>CT</sub>. The median FFR<sub>CT</sub> before PCI and invasive FFR were 0.70 (0.60-0.77) and 0.69 (0.63-0.76), respectively. The median FFR<sub>CT</sub> were 0.91 (0.86-0.95) and 0.91 (0.87-0.94) in the blinded and non-blinded groups, respectively; the invasive post-PCI FFR was 0.90 (0.88-0.93). The difference between the FFR<sub>CT</sub> after using the blinded/non-blinded method and the invasive post-PCI FFR were 0.010 (95% limits of agreement: -0.064 to 0.084) and 0.009 (-0.050 to 0.068) in the discovery cohort and -0.005 (-0.075 to 0.064) and -0.0002 (-0.064 to 0.064) in the validation cohort, respectively. Virtual stenting technology based on FFR<sub>CT</sub> can effectively predict functional outcomes after PCI and could be a reliable tool for PCI procedural planning.</p>","PeriodicalId":15197,"journal":{"name":"Journal of Cardiovascular Development and Disease","volume":"12 9","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12470931/pdf/","citationCount":"0","resultStr":"{\"title\":\"Virtual Stenting Based on Fractional Flow Reserve Derived from Computed Tomography in Predicting Post-Percutaneous Coronary Intervention Functional Outcomes: A Retrospective Cohort Study.\",\"authors\":\"Han Zhao, Yanlong Ren, Jiang Li, Mingduo Zhang, Lijun Zhang, Rongliang Chen, Jia Liu, Zhengzheng Yan, Xiantao Song\",\"doi\":\"10.3390/jcdd12090373\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>With the advancement of fractional flow reserve (FFR) derived from computed tomography (FFR<sub>CT</sub>), virtual stenting technology has gradually developed. This study investigated the performance of virtual stenting based on FFR<sub>CT</sub> in predicting post-percutaneous coronary intervention (PCI) FFR. Data from 75 patients (78 blood vessels) was collected retrospectively. We randomly allocated the participants to discovery (<i>n</i> = 26) and validation (<i>n</i> = 52) cohorts. The FFR<sub>CT</sub> was calculated using pre-PCI coronary computed tomography angiography images. Virtual stent implantation was simulated using blinded and non-blinded virtual stenting methods to obtain post-virtual stenting FFR<sub>CT</sub>. The median FFR<sub>CT</sub> before PCI and invasive FFR were 0.70 (0.60-0.77) and 0.69 (0.63-0.76), respectively. The median FFR<sub>CT</sub> were 0.91 (0.86-0.95) and 0.91 (0.87-0.94) in the blinded and non-blinded groups, respectively; the invasive post-PCI FFR was 0.90 (0.88-0.93). The difference between the FFR<sub>CT</sub> after using the blinded/non-blinded method and the invasive post-PCI FFR were 0.010 (95% limits of agreement: -0.064 to 0.084) and 0.009 (-0.050 to 0.068) in the discovery cohort and -0.005 (-0.075 to 0.064) and -0.0002 (-0.064 to 0.064) in the validation cohort, respectively. Virtual stenting technology based on FFR<sub>CT</sub> can effectively predict functional outcomes after PCI and could be a reliable tool for PCI procedural planning.</p>\",\"PeriodicalId\":15197,\"journal\":{\"name\":\"Journal of Cardiovascular Development and Disease\",\"volume\":\"12 9\",\"pages\":\"\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12470931/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Cardiovascular Development and Disease\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3390/jcdd12090373\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cardiovascular Development and Disease","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3390/jcdd12090373","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
Virtual Stenting Based on Fractional Flow Reserve Derived from Computed Tomography in Predicting Post-Percutaneous Coronary Intervention Functional Outcomes: A Retrospective Cohort Study.
With the advancement of fractional flow reserve (FFR) derived from computed tomography (FFRCT), virtual stenting technology has gradually developed. This study investigated the performance of virtual stenting based on FFRCT in predicting post-percutaneous coronary intervention (PCI) FFR. Data from 75 patients (78 blood vessels) was collected retrospectively. We randomly allocated the participants to discovery (n = 26) and validation (n = 52) cohorts. The FFRCT was calculated using pre-PCI coronary computed tomography angiography images. Virtual stent implantation was simulated using blinded and non-blinded virtual stenting methods to obtain post-virtual stenting FFRCT. The median FFRCT before PCI and invasive FFR were 0.70 (0.60-0.77) and 0.69 (0.63-0.76), respectively. The median FFRCT were 0.91 (0.86-0.95) and 0.91 (0.87-0.94) in the blinded and non-blinded groups, respectively; the invasive post-PCI FFR was 0.90 (0.88-0.93). The difference between the FFRCT after using the blinded/non-blinded method and the invasive post-PCI FFR were 0.010 (95% limits of agreement: -0.064 to 0.084) and 0.009 (-0.050 to 0.068) in the discovery cohort and -0.005 (-0.075 to 0.064) and -0.0002 (-0.064 to 0.064) in the validation cohort, respectively. Virtual stenting technology based on FFRCT can effectively predict functional outcomes after PCI and could be a reliable tool for PCI procedural planning.