Fractional flow reserve versus angiography for guiding percutaneous coronary intervention.

By P. Tonino, B. de Bruyne, N. Pijls, U. Siebert, F. Ikeno, M. van ’t Veer, V. Klauss, G. Manoharan, T. Engstrøm, K. Oldroyd and 3 more. New England Journal of Medicine, 2009

3,631 citations recorded by the source corpus.

Subfields: Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery

View Paper: https://www.semanticscholar.org/paper/21088997418ef7f31b3627763f6d2ed248ed1586

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Pulmonary and Respiratory Medicine

1. Douglas G. Altman
2. Charles A. Taylor

In Radiology, Nuclear Medicine and Imaging

1. Douglas G. Altman

In Surgery

1. David Moher
2. Douglas G. Altman
3. James K. Min
4. T. Fonte
5. Charles A. Taylor
6. Matthias Egger
7. A. Vedel

Citations in the corpus

• A machine-learning approach for computation of fractional flow reserve from coronary computed tomography. (2016, methodology): “Following multiple successful clinical trials that showed the superiority of FFR-guided decision making (50), FFR is currently the gold standard for determining the functional severity of a lesion (14, 58).”