Diagnosis of ischemia-causing coronary stenoses by noninvasive fractional flow reserve computed from coronary computed tomographic angiograms. Results from the prospective multicenter DISCOVER-FLOW…
By B. Koo, A. Erglis, J. Doh, David V. Daniels, S. Jegere, Hyo‐Soo Kim, A. Dunning, T. Defrance, A. Lansky, J. Leipsic and 1 more. Journal of the American College of Cardiology, 2011
1,276 citations recorded by the source corpus.
Subfields: Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery
View Paper: https://www.semanticscholar.org/paper/a782cbe4564f46cb6419256fdb0adcad61c9ae27
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Citations in the corpus
- Diagnostic Accuracy of Fractional Flow Reserve From Anatomic CT Angiography (2012, methodology): “These results suggest that FFRCT can impart considerable discriminatory power to identify and exclude ischemia in patients with suspected CAD.”
- Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography–Based Fractional Flow Reserve: Result From the MACHINE Consortium (2018, background): “ASAN (16) December 2011–October 2014 48 d 72/138 Chronic total occlusions, Agatston score >3000, misalignment artifacts 8 (10%): insufficient CTA quality (8)”
- A machine-learning approach for computation of fractional flow reserve from coronary computed tomography. (2016, background): “, computed tomography (CT) scans of the heart and the coronary arteries, have shown great promise in being able to predict invasive, lesion-specific FFR from patient’s medical images taken at resting conditions (9, 24, 32, 33, 36, 38, 43, 53).”
- Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in suspected coronary artery disease: the NXT trial (Analysis of Coronary Blood Flow Using CT Angiography: Next Steps). (2014, methodology): “Compared with previous studies (15,16), a substantially refined version of the FFRCT technology was used, and the emphasis on coronary CTA acquisition quality was strengthened.”