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Erschienen in: European Radiology 8/2022

17.02.2022 | Cardiac

One-year outcomes of CCTA alone versus machine learning–based FFRCT for coronary artery disease: a single-center, prospective study

verfasst von: Hong Yan Qiao, Chun Xiang Tang, U. Joseph Schoepf, Richard R. Bayer 2nd, Christian Tesche, Meng Di Jiang, Chang Qing Yin, Chang Sheng Zhou, Fan Zhou, Meng Jie Lu, Jian Wei Jiang, Guang Ming Lu, Qian Qian Ni, Long Jiang Zhang

Erschienen in: European Radiology | Ausgabe 8/2022

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Abstract

Objectives

To explore downstream management and outcomes of machine learning (ML)–based CT derived fractional flow reserve (FFRCT) strategy compared with an anatomical coronary computed tomography angiography (CCTA) alone assessment in participants with intermediate coronary artery stenosis.

Methods

In this prospective study conducted from April 2018 to March 2019, participants were assigned to either the CCTA or FFRCT group. The primary endpoint was the rate of invasive coronary angiography (ICA) that demonstrated non-obstructive disease at 90 days. Secondary endpoints included coronary revascularization and major adverse cardiovascular events (MACE) at 1-year follow-up.

Results

In total, 567 participants were allocated to the CCTA group and 566 to the FFRCT group. At 90 days, the rate of ICA without obstructive disease was higher in the CCTA group (33.3%, 39/117) than that (19.8%, 19/96) in the FFRCT group (risk difference [RD] = 13.5%, 95% confidence interval [CI]: 8.4%, 18.6%; p = 0.03). The ICA referral rate was higher in the CCTA group (27.5%, 156/567) than in the FFRCT group (20.3%, 115/566) (RD = 7.2%, 95% CI: 2.3%, 12.1%; p = 0.003). The revascularization-to-ICA ratio was lower in the CCTA group than that in the FFRCT group (RD = 19.8%, 95% CI: 14.1%, 25.5%, p = 0.002). MACE was more common in the CCTA group than that in the FFRCT group at 1 year (HR: 1.73; 95% CI: 1.01, 2.95; p = 0.04).

Conclusion

In patients with intermediate stenosis, the FFRCT strategy appears to be associated with a lower rate of referral for ICA, ICA without obstructive disease, and 1-year MACE when compared to the anatomical CCTA alone strategy.

Key Points

• In stable patients with intermediate stenosis, ML-based FFR CT strategy was associated with a lower referral ICA rate, a lower normalcy rate of ICA, and higher revascularization-to-ICA ratio than the CCTA strategy.
• Compared with the CCTA strategy, ML-based FFR CT shows superior outcome prediction value which appears to be associated with a lower rate of 1-year MACE.
• ML-based FFR CT strategy as a non-invasive “one-stop-shop” modality may be the potential to change diagnostic workflows in patients with suspected coronary artery disease.
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Metadaten
Titel
One-year outcomes of CCTA alone versus machine learning–based FFRCT for coronary artery disease: a single-center, prospective study
verfasst von
Hong Yan Qiao
Chun Xiang Tang
U. Joseph Schoepf
Richard R. Bayer 2nd
Christian Tesche
Meng Di Jiang
Chang Qing Yin
Chang Sheng Zhou
Fan Zhou
Meng Jie Lu
Jian Wei Jiang
Guang Ming Lu
Qian Qian Ni
Long Jiang Zhang
Publikationsdatum
17.02.2022
Verlag
Springer Berlin Heidelberg
Erschienen in
European Radiology / Ausgabe 8/2022
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-022-08604-x

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