Intravascular ultrasound-based machine learning for predicting fractional flow reserve in intermediate coronary artery lesions-Reference-Cited by-同舟云学术

Intravascular ultrasound-based machine learning for predicting fractional flow reserve in intermediate coronary artery lesions

Published:2020-01 Issue: Volume:292 Page:171-177
ISSN:0021-9150
Container-title:Atherosclerosis
language:en
Short-container-title:Atherosclerosis

Author:

Lee June-Goo,Ko Jiyuon,Hae Hyeonyong,Kang Soo-Jin,Kang Do-Yoon,Lee Pil Hyung,Ahn Jung-Min,Park Duk-Woo,Lee Seung-Whan,Kim Young-Hak,Lee Cheol Whan,Park Seong-Wook,Park Seung-Jung

Funder

Korea Healthcare Technology R&D Project

Ministry for Health & Welfare Affairs, Republic of Korea

Ministry of Science and ICT

Asan Institute for Life Sciences, Asan Medical Center

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine

Reference23 articles.

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2. Measurement of fractional flow reserve to assess the functional severity of coronary-artery stenoses;Pijls;N. Engl. J. Med.,1996

3. FAME study investigators. Fractional flow reserve versus angiography for guiding percutaneous coronary intervention FAME;Tonino;N. Engl. J. Med.,2009

4. FAME 2 Trial Investigators. Fractional flow reserve-guided PCI for stable coronary artery disease;De Bruyne;N. Engl. J. Med.,2014

5. Revascularization decisions in patients with stable angina and intermediate lesions: results of the international survey on interventional strategy;Toth;Circ. Cardiovasc. Interv.,2014

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