Variation of computed tomographic angiography–based fractional flow reserve after transcatheter aortic valve implantation

Author:

Zhang Yi,Xiong Tian-Yuan,Li Yi-Ming,Huang Fang-Yang,Peng Yong,Li Qiao,Wei Jia-Fu,He Sen,Cao Kun-Lin,Feng Yuan,Xu Bo,Mylotte Darren,Chen Mao

Funder

National Natural Science Foundation of China

Science and Technology Support Plan of Sichuan province

West China Hospital “1·3·5” Discipline of Excellence Project

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference24 articles.

1. Goel SS, Ige M, Tuzcu EM et al (2013) Severe aortic stenosis and coronary artery disease--implications for management in the transcatheter aortic valve replacement era: a comprehensive review. J Am Coll Cardiol 62:1–10

2. Nishimura RA, Otto CM, Bonow RO et al (2014) 2014 AHA/ACC Guideline for the Management of Patients With Valvular Heart Disease: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation 129:e521–e643

3. Coenen A, Kim YH, Kruk M et al (2018) Diagnostic accuracy of a machine-learning approach to coronary computed tomographic angiography-based fractional flow reserve: result from the MACHINE Consortium. Circ Cardiovasc Imaging 11:e007217

4. Han PL, Diao KY, Huang S et al (2020) Anatomical characteristics of anomalous left coronary artery from the opposite sinus (left-ACAOS) and its clinical relevance: a serial coronary CT angiography study. Int J Cardiol Heart Vasc 31:100649

5. Wang ZQ, Zhou YJ, Zhao YX et al (2019) Diagnostic accuracy of a deep learning approach to calculate FFR from coronary CT angiography. J Geriatr Cardiol 16:42–48

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