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. 2023 Jun 21;13(13):2136.
doi: 10.3390/diagnostics13132136.

The Association of Coronary Fat Attenuation Index Quantified by Automated Software on Coronary Computed Tomography Angiography with Adverse Events in Patients with Less than Moderate Coronary Artery Stenosis

Wenzhao Zhang  1 , Peiling Li  2 , Xinyue Chen  3 , Liyi He  1 , Qiang Zhang  4 , Jianqun Yu  1
Affiliations

The Association of Coronary Fat Attenuation Index Quantified by Automated Software on Coronary Computed Tomography Angiography with Adverse Events in Patients with Less than Moderate Coronary Artery Stenosis

Wenzhao Zhang et al. Diagnostics (Basel). .

Abstract

Objective: This study analyzed the relationship between the coronary FAI on CCTA and coronary adverse events in patients with moderate coronary artery disease based on machine learning.

Methods: A total of 172 patients with coronary artery disease with moderate or lower coronary artery stenosis were included. According to whether the patients had coronary adverse events, the patients were divided into an adverse group and a non-adverse group. The coronary FAI of patients was quantified via machine learning, and significant differences between the two groups were analyzed via t-test.

Results: The age difference between the two groups was statistically significant (p < 0.001). The group that had adverse reactions was older, and there was no statistically significant difference between the two groups in terms of sex and smoking status. There was no statistical significance in the blood biochemical indexes between the two groups (p > 0.05). There was a significant difference in the FAIs between the two groups (p < 0.05), with the FAI of the defective group being greater than that of the nonperforming group. Taking the age of patients as a covariate, an analysis of covariance showed that after excluding the influence of age, the FAIs between the two groups were still significantly different (p < 0.001).

Keywords: FAI; PCAT; coronary heart disease; machine learning; vascular inflammation.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Coronary artery reconstruction: CTA data were imported into the Siemens research prototype FAI analysis software (CT Coronary Plaque Analysis, software version 5.0.2, Siemens-healthineers GmbH; Forchheim, Germany), which automatically performed 3D reconstruction of the LAD, LCX, and RCA.
Figure 2
Figure 2
Measurement of FAI values: the target vascular segment was manually determined, and artificial intelligence software (CT Coronary Plaque Analysis, software version 5.0.2, Siemens-healthineers GmbH; Forchheim, Germany) was used to automatically outline the vascular wall (green line), and to automatically calculate the corresponding segment FAI value.
See this image and copyright information in PMC

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References

    1. National Center for Cardiovascular Diseases . Annual Report on Cardiovascular Health and Diseases in China (2021) China Science Publishing & Media Ltd.; Beijing, China: 2022.
    1. Villines T.C., Al’Aref S.J., Andreini D., Chen M.Y., Choi A.D., De Cecco C.N., Dey D., Earls J.P., Ferencik M., Gransar H., et al. The Journal of Cardiovascular Computed Tomography: 2020 Year in review. J. Cardiovasc. Comput. Tomogr. 2021;15:180–189. doi: 10.1016/j.jcct.2021.02.004. - DOI - PMC - PubMed
    1. Mark D.B., Federspiel J.J., Cowper P.A., Anstrom K.J., Hoffmann U., Patel M.R., Davidson-Ray L., Daniels M.R., Cooper L.S., Knight J.D., et al. Economic outcomes of Anatomical versus Functional Testing for Coronary Artery Disease. Ann. Intern. Med. 2016;165:94–102. doi: 10.7326/M15-2639. - DOI - PMC - PubMed
    1. Scot-Heart T. CT coronary angiography in patients with suspected angina due to coronary heart disease (SCOT-HEART): An open-label, parallel-group, multicenter trial. Lancet. 2015;385:2383–2391. - PubMed
    1. Park S.J., Kang S.J., Ahn J.M., Shim E.B., Kim Y.T., Yun S.C., Song H., Lee J.Y., Kim W.J., Park D.W., et al. Visual-Functional Mismatch Between Coronary Angiography and Fractional Flow Reserve. JCIN. 2012;5:1029–1036. - PubMed

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