Open Access

Synergistic value of fractional flow reserve and low‑density non‑calcified plaque based on coronary computed tomography angiography for the identification of lesion‑specific ischemia

  • Authors:
    • Lin-Meng Tang
    • Feng Liu
    • Ting-Yu Dong
    • Fei Yang
    • Shu-Jun Cui
  • View Affiliations

  • Published online on: September 29, 2022     https://doi.org/10.3892/etm.2022.11637
  • Article Number: 701
  • Copyright: © Tang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Increasing evidence has suggested that plaque characteristics are closely associated with ischemia, and coronary computed tomography (CT) angiography‑derived fractional flow reserve (FFRCT) based on deep machine learning algorithms has also been used to identify lesion‑specific ischemia. Therefore, the aim of the present study was to explore the predictive ability of plaque characteristics in combination with deep learning‑based FFRCT for lesion‑specific ischemia. To meet this end, invasive FFR was used as a reference standard, with the joint aims of the early prediction of ischemic lesions and guiding clinical treatment. In the present study, the plaque characteristics, including non‑calcified plaque (NCP), low‑density NCP (LD‑NCP), plaque length, total plaque volume (TPV), remodeling index, calcified plaque, fibrous plaque and plaque burden, were obtained using a semi‑automated program. The FFRCT values were derived based on a deep machine learning algorithm. On the basis of the data obtained, differences among the values between the atopic ischemia and the non‑significant lesions groups were analyzed to further determine the predictive value of independent predictors for atopic ischemia. Of the plaque features, FFRCT, LD‑NCP, NCP, TPV and plaque length differed significantly when comparing between the lesion‑specific ischemia and no hemodynamic abnormality groups, and LD‑NCP and FFRCT were both independent predictors for ischemia. Additionally, FFRCT combined with LD‑NCP showed a greater ability at discriminating ischemia compared with FFRCT or LD‑NCP alone. Taken together, the findings of the present study suggest that the combination of FFRCT and LD‑NCP has a synergistic effect in terms of predicting ischemia, thereby facilitating the identification of specific ischemia in patients with coronary artery disease.
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November-2022
Volume 24 Issue 5

Print ISSN: 1792-0981
Online ISSN:1792-1015

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Spandidos Publications style
Tang L, Liu F, Dong T, Yang F and Cui S: Synergistic value of fractional flow reserve and low‑density non‑calcified plaque based on coronary computed tomography angiography for the identification of lesion‑specific ischemia. Exp Ther Med 24: 701, 2022
APA
Tang, L., Liu, F., Dong, T., Yang, F., & Cui, S. (2022). Synergistic value of fractional flow reserve and low‑density non‑calcified plaque based on coronary computed tomography angiography for the identification of lesion‑specific ischemia. Experimental and Therapeutic Medicine, 24, 701. https://doi.org/10.3892/etm.2022.11637
MLA
Tang, L., Liu, F., Dong, T., Yang, F., Cui, S."Synergistic value of fractional flow reserve and low‑density non‑calcified plaque based on coronary computed tomography angiography for the identification of lesion‑specific ischemia". Experimental and Therapeutic Medicine 24.5 (2022): 701.
Chicago
Tang, L., Liu, F., Dong, T., Yang, F., Cui, S."Synergistic value of fractional flow reserve and low‑density non‑calcified plaque based on coronary computed tomography angiography for the identification of lesion‑specific ischemia". Experimental and Therapeutic Medicine 24, no. 5 (2022): 701. https://doi.org/10.3892/etm.2022.11637