Simplified Models of Non-Invasive Fractional Flow Reserve Based on CT   Images

doi:10.1371/journal.pone.0153070

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	Simplified Models of Non-Invasive Fractional Flow Reserve Based on CT Images
	Zhang, Jun-Mei ; Zhong, Liang ; Luo, Tong ; Lomarda, Aileen Mae ; Huo, Yunlong ; Yap, Jonathan ; Lim, Soo Teik ; Tan, Ru San ; Wong, Aaron Sung Lung ; Tan, Jack Wei Chieh ; Yeo, Khung Keong ; Fam, Jiang Ming ; Keng, Felix Yung Jih ; Wan, Min ; Su, Boyang ; Zhao, Xiaodan ; Allen, John Carson ; Kassab, Ghassan S. ; Chua, Terrance Siang Jin ; Tan, Swee Yaw
刊名	PLOS ONE
	2016
关键词	CORONARY BLOOD-FLOW COMPUTED TOMOGRAPHIC ANGIOGRAMS DIAGNOSTIC-ACCURACY CARDIOVASCULAR ANGIOGRAPHY AMERICAN-COLLEGE ARTERY-DISEASE TASK-FORCE QUANTIFICATION STENOSES PERFORMANCE
DOI	10.1371/journal.pone.0153070
英文摘要	Invasive fractional flow reserve (FFR) is the gold standard to assess the functional coronary stenosis. The non-invasive assessment of diameter stenosis (DS) using coronary computed tomography angiography (CTA) has high false positive rate in contrast to FFR. Combining CTA with computational fluid dynamics (CFD), recent studies have shown promising predictions of FFRCT for superior assessment of lesion severity over CTA alone. The CFD models tend to be computationally expensive, however, and require several hours for completing analysis. Here, we introduce simplified models to predict noninvasive FFR at substantially less computational time. In this retrospective pilot study, 21 patients received coronary CTA. Subsequently a total of 32 vessels underwent invasive FFR measurement. For each vessel, FFR based on steady-state and analytical models (FFRSS and FFRAM, respectively) were calculated non-invasively based on CTA and compared with FFR. The accuracy, sensitivity, specificity, positive predictive value and negative predictive value were 90.6% (87.5%), 80.0%(80.0%), 95.5% (90.9%), 88.9% (80.0%) and 91.3% (90.9%) respectively for FFRSS (and FFRAM) on a per-vessel basis, and were 75.0%, 50.0%, 86.4%, 62.5% and 79.2% respectively for DS. The area under the receiver operating characteristic curve (AUC) was 0.963, 0.954 and 0.741 for FFRSS, FFRAM and DS respectively, on a perpatient level. The results suggest that the CTA-derived FFRSS performed well in contrast to invasive FFR and they had better diagnostic performance than DS from CTA in the identification of functionally significant lesions. In contrast to FFRCT, FFRSS requires much less computational time.; SingHealth Foundation Singapore under its Translational Research Grant [SHF/FG503P/2012]; National Heart Center Singapore under its NHCS Centre Grant Seed Funding [NHCS-CGSF/2014/003]; BMRC-NMRC Grant [BnB14Nov001]; Biomedical Research Council Research Grant [14/1/32/24/002]; SCI(E); PubMed; ARTICLE; zhong.liang@nhcs.com.sg; 5; e0153070; 11
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/433701]
专题	工学院
推荐引用方式 GB/T 7714	Zhang, Jun-Mei,Zhong, Liang,Luo, Tong,et al. Simplified Models of Non-Invasive Fractional Flow Reserve Based on CT Images[J]. PLOS ONE,2016.
APA	Zhang, Jun-Mei.,Zhong, Liang.,Luo, Tong.,Lomarda, Aileen Mae.,Huo, Yunlong.,...&Tan, Swee Yaw.(2016).Simplified Models of Non-Invasive Fractional Flow Reserve Based on CT Images.PLOS ONE.
MLA	Zhang, Jun-Mei,et al."Simplified Models of Non-Invasive Fractional Flow Reserve Based on CT Images".PLOS ONE (2016).