Evaluating machine learning accuracy in detecting significant coronary stenosis using CCTA-derived fractional flow reserve: Meta-analysis and systematic review by Danny van Noort, Liang Guo, Shuang Leng, Luming Shi, Ru-San Tan, Lynette Teo, Min Sen Yew, Lohendran Baskaran, Ping Chai, Felix Keng, Mark Chan, Terrance Chua, Swee Yaw Tan, Liang Zhong

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Role of pre-procedure CCTA in predicting failed percutaneous coronary intervention for chronic total occlusions by Hua Zhou, Xiaojun Fan, Mingyuan Yuan, Wei Wang, Qiyuan Wu

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Evaluating the role of pericoronary adipose tissue on coronary artery disease: insights from CCTA on risk assessment, vascular stenosis, and plaque characteristics by Jingyue Wang, Huicong Zhang, Zihao Wang, Wenyun Liu, Dianbo Cao, Qian Tong

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Corrigendum: Evaluating the role of pericoronary adipose tissue on coronary artery disease: insights from CCTA on risk assessment, vascular stenosis, and plaque characteristics by Jingyue Wang, Huicong Zhang, Zihao Wang, Wenyun Liu, Dianbo Cao, Qian Tong

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QUIET WARRIOR – Rationale and design: An ancillary study to the Women's IschemiA TRial to Reduce Events in Nonobstructive CAD (WARRIOR) by Osama Dasa, Eileen Handberg, Damini Dey, Pinaki Sarder, Margaret C. Lo, Balaji K. Tamarappoo, Steven M. Smith, Leslee J. Shaw, C. Noel Bairey Merz, Carl J. Pepine

Subjects: “…Coronary computed tomography angiography (CCTA)…”
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