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一种将动态应力CT心肌灌注与基于深度学习的血流储备分数(FFR)相结合的逐步策略,用于稳定型冠状动脉疾病的检查。

A stepwise strategy integrating dynamic stress CT myocardial perfusion and deep learning-based FFR in the work-up of stable coronary artery disease.

作者信息

Lyu Lijuan, Pan Jichen, Li Dumin, Yu Dexin, Li Xinhao, Yang Wei, Dong Mei, Han Yeming, Liang Yongfeng, Zhang Pengfei, Zhang Mei

机构信息

The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China.

Department of Radiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China.

出版信息

Eur Radiol. 2024 Aug;34(8):4939-4949. doi: 10.1007/s00330-023-10562-x. Epub 2024 Jan 12.

Abstract

OBJECTIVES

To validate a novel stepwise strategy in which computed tomography-derived fractional flow reserve (FFR) is restricted to intermediate stenosis on coronary computed tomography angiography (CCTA) and computed tomography myocardial perfusion imaging (CT-MPI) was reserved for vessels with gray zone FFR values.

MATERIALS AND METHODS

This retrospective study included 87 consecutive patients (age, 58 ± 10 years; 70% male) who underwent CCTA, dynamic CT-MPI, interventional coronary angiography (ICA), and fractional flow reserve (FFR) for suspected or known coronary artery disease. FFR was computed using a deep learning-based platform. Three stepwise strategies (CCTA + FFR + CT-MPI, CCTA + FFR, CCTA + CT-MPI) were constructed and their diagnostic performance was evaluated using ICA/FFR as the reference standard. The proportions of vessels requiring further ICA/FFR measurement based on different strategies were noted. Furthermore, the net reclassification index (NRI) was calculated to ascertain the superior model.

RESULTS

The CCTA + FFR + CT-MPI strategy yielded the lowest proportion of vessels requiring additional ICA/FFR measurement when compared to the CCTA + FFR and CCTA + CT-MPI strategies (12%, 22%, and 24%). The CCTA + FFR + CT-MPI strategy exhibited the highest accuracy for ruling-out (91%, 84%, and 85%) and ruling-in (90%, 85%, and 85%) functionally significant lesions. All strategies exhibited comparable sensitivity for ruling-out functionally significant lesions and specificity for ruling-in functionally significant lesions (p > 0.05). The NRI indicated that the CCTA + FFR + CT-MPI strategy outperformed the CCTA + FFR strategy (NRI = 0.238, p < 0.001) and the CCTA + CT-MPI strategy (NRI = 0.233%, p < 0.001).

CONCLUSIONS

The CCTA + FFR + CT-MPI stepwise strategy was superior to the CCTA + FFR strategy and CCTA+ CT-MPI strategy by minimizing unnecessary invasive diagnostic catheterization without compromising the agreement rate with ICA/FFR.

CLINICAL RELEVANCE STATEMENT

Our novel stepwise strategy facilitates greater confidence and accuracy when clinicians need to decide on interventional coronary angiography referral or deferral, reducing the burden of invasive investigations on patients.

KEY POINTS

• A stepwise CCTA + FFR + CT-MPI strategy holds promise as a viable method to reduce the need for invasive diagnostic catheterization, while maintaining a high level of agreement with ICA/FFR. • The CCTA + FFR + CT-MPI strategy performed better than the CCTA + FFR and CCTA + CT-MPI strategies. • A stepwise CCTA + FFR + CT-MPI strategy allows to minimize unnecessary invasive diagnostic catheterization and helps clinicians to referral or deferral for ICA/FFR with more confidence.

摘要

目的

验证一种新的分步策略,即冠状动脉计算机断层扫描血管造影(CCTA)上计算机断层扫描衍生的血流储备分数(FFR)仅限于中度狭窄,而计算机断层扫描心肌灌注成像(CT-MPI)则用于FFR值处于灰色区域的血管。

材料与方法

这项回顾性研究纳入了87例连续患者(年龄58±10岁;70%为男性),这些患者因疑似或已知冠状动脉疾病接受了CCTA、动态CT-MPI、介入性冠状动脉造影(ICA)和血流储备分数(FFR)检查。使用基于深度学习的平台计算FFR。构建了三种分步策略(CCTA+FFR+CT-MPI、CCTA+FFR、CCTA+CT-MPI),并以ICA/FFR作为参考标准评估其诊断性能。记录基于不同策略需要进一步进行ICA/FFR测量的血管比例。此外,计算净重新分类指数(NRI)以确定更优模型。

结果

与CCTA+FFR和CCTA+CT-MPI策略相比,CCTA+FFR+CT-MPI策略需要额外进行ICA/FFR测量的血管比例最低(分别为12%、22%和24%)。CCTA+FFR+CT-MPI策略在排除(分别为91%、84%和85%)和确诊(分别为90%、85%和85%)功能上有意义的病变方面表现出最高的准确性。所有策略在排除功能上有意义的病变的敏感性和确诊功能上有意义的病变的特异性方面表现相当(p>0.05)。NRI表明CCTA+FFR+CT-MPI策略优于CCTA+FFR策略(NRI=0.238,p<0.001)和CCTA+CT-MPI策略(NRI=0.233%,p<0.001)。

结论

CCTA+FFR+CT-MPI分步策略优于CCTA+FFR策略和CCTA+CT-MPI策略,通过尽量减少不必要的侵入性诊断导管插入术,同时不影响与ICA/FFR的符合率。

临床相关性声明

当临床医生需要决定是否进行介入性冠状动脉造影转诊或延期时,我们的新分步策略有助于提高信心和准确性,减轻患者侵入性检查的负担。

关键点

  • 分步CCTA+FFR+CT-MPI策略有望成为一种可行的方法,既能减少侵入性诊断导管插入术的需求,又能与ICA/FFR保持高度一致性。

  • CCTA+FFR+CT-MPI策略的表现优于CCTA+FFR和CCTA+CT-MPI策略。

  • 分步CCTA+FFR+CT-MPI策略能够尽量减少不必要的侵入性诊断导管插入术,并帮助临床医生更有信心地决定是否进行ICA/FFR检查。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4dd0/11254970/1197ae7976ef/330_2023_10562_Fig1_HTML.jpg

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