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Optimal grading of stenosis severity on coronary computed tomographic angiography in patients with suspected coronary artery disease

Title
 Optimal grading of stenosis severity on coronary computed tomographic angiography in patients with suspected coronary artery disease 
Other Titles
 관상동맥질환이 의심되는 환자에서 시행한 관상동맥 전산화단층촬영 혈관조영술 상 관상동맥 협착 정도에 대한 최적의 등급화 
Issue Date
2011
Publisher
 Graduate School, Yonsei University 
Description
Dept. of Medicine/석사
Abstract
Background: Several multi-point stenosis grade reporting systems on coronary computed tomographic angiography (cCTA) have been suggested to provide information in therapeutic decision-making. The aim of this study is to evaluate current reporting systems of cCTA to find out the most optimal model in predicting revascularization therapy.Methods: Between January 2006 and March 2009, we retrospectively enrolled patients who underwent cCTA for the evaluation of clinically suspected coronary artery disease (CAD) and subsequent invasive coronary angiography (ICA) within 6 months. cCTA stenosis severity was measured semi-quantitatively on a 3-D workstation, and was reclassified according to four different reporting systems: (1) model A (<50; ≥50%), (2) B (<40; 40-69; ≥70%), (3) C (<30; 30-49; 50-69; ≥70%), and (4) D (<25; 25-49; 50-74; ≥75%). Endpoint was defined as significant CAD and revascularization at the discretion of physician based on ICA finding. The area under the curves (AUC) on receiver operating characteristic (ROC) curves was compared to each other.Results: Four hundred and eighty-five patients (male 66%, 63±11 years) were included for final analysis. Three hundred and ninety-eight (82%) patients had significant CAD and 312 (64%) patients underwent revascularization. Among four different multi-tiered stenosis grading models, model C had the largest AUC in the prediction of significant CAD (0.869) and revascularization (0.796 vs. A=0.726, p<0.001; vs. B=0.785, p=0.018; vs. D=0.783, p=0.048). When the pretest probability was combined with cCTA grading, its AUC demonstrated better predictive value (AUC 0.831, p < 0.001).Conclusion: Multi-grade reporting system of cCTA with cut-off of 30, 50, and 70% stenosis is the most optimal method to identify patients who need revascularization therapy. The pretest probability of CAD has incremental value to cCTA stenosis grading in predicting revascularization.
URI
http://ir.ymlib.yonsei.ac.kr/handle/22282913/133556
Appears in Collections:
2. 학위논문 > 1. College of Medicine (의과대학) > 석사
Yonsei Authors
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