Accurate diagnosis of severe coronary stenosis based on re-sting magnetocardiography:a prospective,single-center,cro-ss-sectional analysis
Jian-Guo CUI1
Feng TIAN2
Yu-Hao MIAO2
Qin-Hua JIN2
Ya-Jun SHI2
Li LI3
Meng-Jun SHEN3
Xiao-Ming XIE4
Shu-Lin ZHANG4
Yun-Dai CHEN1
1.School of Medicine,Nankai University,Tianjin,China;Senior Department of Cardiology,the Sixth Medical Center,Chinese PLA General Hospital,Beijing,China2.Senior Department of Cardiology,the Sixth Medical Center,Chinese PLA General Hospital,Beijing,China3.Joint Laboratory of Bioimaging Technology and Applications,SAS-SIM-IT&MEDI,Shanghai,China4.Shanghai Institute of Microsystem and Information Technology,Chinese Academy of Sciences,Shanghai,China
摘要：OBJECTIVE To evaluate the role of resting magnetocardiography in identifying severe coronary artery stenosis in patients wi-th suspected coronary artery disease.
METHODS A total of 513 patients with angina symptoms were included and divided into two groups based on the extent of coronary artery disease determined by angiography:the non-severe coronary stenosis group(＜70%stenosis)and the severe co-ronary stenosis group(≥70%stenosis).The diagnostic model was constructed using magnetic field map(MFM)parameters,either individually or in combination with clinical indicators.The performance of the models was evaluated using receiver oper-ating characteristic curves,accuracy,sensitivity,specificity,positive predictive value(PPV)and negative predictive value(NPV).Calibration plots and decision curve analysis were performed to investigate the clinical utility and performance of the models,re-spectively.
RESULTS In the severe coronary stenosis group,QR_MCTDd,S_MDp,and TT_MAC50 were significantly higher than those in the non-severe coronary stenosis group(10.46±10.66 vs.5.11±6.07,P＜0.001;7.2±8.64 vs.4.68±6.95,P=0.003;0.32±57.29 vs.0.26±57.29,P＜0.001).While,QR_MVamp,R_MA,and T_MA in the severe coronary stenosis group were lower(0.23±0.16 vs.0.28±0.16,P＜0.001;55.06±48.68 vs.59.24±53.01,P＜0.001;51.67±39.32 vs.60.45±51.33,P＜0.001).Seven MFM parameters were integrated into the model,resulting in an area under the curve of 0.810(95%CI:0.765-0.855).The sensitivity,specificity,PPV,NPV,and accuracy were 71.7%,80.4%,93.3%,42.8%,and 73.5%;respectively.The combined model exhibited an area under the cur-ve of 0.845(95%CI:0.798-0.892).The sensitivity,specificity,PPV,NPV,and accuracy were 84.3%,73.8%,92.6%,54.6%,and 82.1%;respectively.Calibration curves demonstrated excellent agreement between the nomogram prediction and actual observation.The decision curve analysis showed that the combined model provided greater net benefit compared to the magnetocardiography model.
CONCLUSIONS The novel quantitative MFM parameters,whether used individually or in combination with clinical indicato-rs,have been shown to effectively predict the risk of severe coronary stenosis in patients presenting with angina-like symptoms.Ma-gnetocardiography,an emerging non-invasive diagnostic tool,warrants further exploration for its potential in diagnosing coronary heart disease.
机标关键词：analysisgraphocaretoccardardiaccuratebased
论文发表日期：2024-04-28
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：14( 407-420 )