Automated Algorithm Using Pre-Intervention Fractional Flow Reserve Pullback Curve to Predict Post-Intervention Physiological Results-Reference-Cited by-同舟云学术

Automated Algorithm Using Pre-Intervention Fractional Flow Reserve Pullback Curve to Predict Post-Intervention Physiological Results

Published:2020-11 Issue:22 Volume:13 Page:2670-2684
ISSN:1936-8798
Container-title:JACC: Cardiovascular Interventions
language:en
Short-container-title:JACC: Cardiovascular Interventions

Author:

Lee Seung Hun,Shin Doosup,Lee Joo Myung,Lefieux Adrien,Molony David,Choi Ki Hong,Hwang Doyeon,Lee Hyun-Jong,Jang Ho-Jun,Kim Hyun Kuk,Ha Sang Jin,Kwak Jae-Jin,Park Taek Kyu,Yang Jeong Hoon,Song Young Bin,Hahn Joo-Yong,Doh Joon-Hyung,Shin Eun-Seok,Nam Chang-Wook,Koo Bon-Kwon,Choi Seung-Hyuk,Gwon Hyeon-Cheol

Funder

Medtronic

St. Jude Medical

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine

Reference19 articles.

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3. Influence of target vessel on prognostic relevance of fractional flow reserve after coronary stenting;Hwang;EuroIntervention,2019

4. Utilizing post-intervention fractional flow reserve to optimize acute results and the relationship to long-term outcomes;Agarwal;J Am Coll Cardiol Intv,2016

5. Usefulness of fractional flow reserve to predict clinical outcome after balloon angioplasty;Bech;Circulation,1999

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