Rationale and design of the precise percutaneous coronary intervention plan (P3) study: Prospective evaluation of a virtual computed tomography-based percutaneous intervention planner

精确经皮冠状动脉介入治疗计划(P3)研究的原理和设计:基于虚拟计算机断层扫描的经皮介入治疗计划器的前瞻性评估

阅读:1

Abstract

INTRODUCTION: Fractional flow reserve (FFR) measured after percutaneous coronary intervention (PCI) has been identified as a surrogate marker for vessel related adverse events. FFR can be derived from standard coronary computed tomography angiography (CTA). Moreover, the FFR derived from coronary CTA (FFR(CT) ) Planner is a tool that simulates PCI providing modeled FFR(CT) values after stenosis opening. AIM: To validate the accuracy of the FFR(CT) Planner in predicting FFR after PCI with invasive FFR as a reference standard. METHODS: Prospective, international and multicenter study of patients with chronic coronary syndromes undergoing PCI. Patients will undergo coronary CTA with FFR(CT) prior to PCI. Combined morphological and functional evaluations with motorized FFR hyperemic pullbacks, and optical coherence tomography (OCT) will be performed before and after PCI. The FFR(CT) Planner will be applied by an independent core laboratory blinded to invasive data, replicating the invasive procedure. The primary objective is to assess the agreement between the predicted FFR(CT) post-PCI derived from the Planner and invasive FFR. A total of 127 patients will be included in the study. RESULTS: Patient enrollment started in February 2019. Until December 2020, 100 patients have been included. Mean age was 64.1 ± 9.03, 76% were males and 24% diabetics. The target vessels for PCI were LAD 83%, LCX 6%, and RCA 11%. The final results are expected in 2021. CONCLUSION: This study will determine the accuracy and precision of the FFR(CT) Planner to predict post-PCI FFR in patients with chronic coronary syndromes undergoing percutaneous revascularization.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。