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Establishment and assessment of chronic coronary stenosis model for fractional flow reserve derived from coronary CT angiography in Bama miniature pig / 中国医学影像技术
Chinese Journal of Medical Imaging Technology ; (12): 166-170, 2018.
Article in Chinese | WPRIM | ID: wpr-706200
ABSTRACT
Objective To establish chronic coronary stenosis model for fractional flow reserve derived from coronary CT angiography (FFRcT) 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 FFRcT was calculated by the specialized laboratory based on coronary CTA data respectively.Simulated FFRcT 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 FFRcT 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.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2018 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2018 Type: Article