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Author:

Ma, Y. (Ma, Y..) | Hou, Y. (Hou, Y..) | Li, D. (Li, D..) (Scholars:李冬) | Liu, X. (Liu, X..) (Scholars:刘晓) | Qiao, A. (Qiao, A..) | Wang, Y. (Wang, Y..) | Guo, Q. (Guo, Q..)

Indexed by:

Scopus PKU CSCD

Abstract:

Objective To establish chronic coronary stenosis model for fractional flow reserve derived from coronary CT angiography (FFR CT ) in Bama miniature pig, and to evaluate its reliability. Methods Sixteen Bama miniature pigs were used to establish chronic coronary stenosis models through placing Ameroid constrictor into proximal or middle segments of left anterior descending arteries (LAD). In the 2nd week after modeling, the degrees of stenosis were monitored with coronary CTA. Invasive coronary angiography was used to verify stenosis degrees and measure fractional flow reserve (FFR) within 2 days of last coronary CTA examination. Computational fluid dynamics model was constructed and FFR CT was calculated by the specialized laboratory based on coronary CTA data respectively. Simulated FFR CT and FFR values were compared to verify this model. Results Models were successfully established in 10 pigs with a total of 24 coronary CT examinations, of which image quality met the diagnostic requirements. All models were with LAD stenosis<25% in the 2nd week after operation. LAD stenosis >50% was found in the 3rd week in 9 pigs, and the other one was found with LAD stenosis >50% in the 4th week. The results of coronary CTA corresponded to those of coronary angiography. There was no significant difference between simulated FFR CT and FFR value (t=-1.13, P=0.29). Conclusion Through placing Ameroid constrictor into LAD of Bama miniature pig and monitoring the degree of stenosis with coronary CTA, model of chronic coronary stenosis could be successfully established, which are suitable for noninvasive simulating hemodynamics study based on coronary CTA. Copyright © 2018 by the Press of Chinese Journal of Medical Imaging and Technology.

Keyword:

Coronary angiography; Coronary stenosis; Models, animal; Tomography, X-ray computed

Author Community:

  • [ 1 ] [Ma, Y.]Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, 110004, China
  • [ 2 ] [Hou, Y.]Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, 110004, China
  • [ 3 ] [Li, D.]Department of Cardiac Surgery, Shengjing Hospital of China Medical University, Shenyang, 110004, China
  • [ 4 ] [Liu, X.]Department of Third Cardiology, Shengjing Hospital of China Medical University, Shenyang, 110004, China
  • [ 5 ] [Qiao, A.]College of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100124, China
  • [ 6 ] [Hou, Y.]College of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100124, China
  • [ 7 ] [Wang, Y.]Department of Radiology, Liaoning Provincial People's Hospital, Shenyang, 110016, China
  • [ 8 ] [Guo, Q.]Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, 110004, China

Reprint Author's Address:

  • [Hou, Y.]Department of Radiology, Shengjing Hospital of China Medical UniversityChina

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Source :

Chinese Journal of Medical Imaging Technology

ISSN: 1003-3289

Year: 2018

Issue: 2

Volume: 34

Page: 166-170

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 14

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