F
Fay Y. Lin
Researcher at NewYork–Presbyterian Hospital
Publications - 250
Citations - 11668
Fay Y. Lin is an academic researcher from NewYork–Presbyterian Hospital. The author has contributed to research in topics: Coronary artery disease & Myocardial infarction. The author has an hindex of 49, co-authored 225 publications receiving 9399 citations. Previous affiliations of Fay Y. Lin include Beaumont Hospital & UCLA Medical Center.
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Journal ArticleDOI
Diagnostic Accuracy of Fractional Flow Reserve From Anatomic CT Angiography
James K. Min,Jonathon Leipsic,Michael J. Pencina,Daniel S. Berman,Bon-Kwon Koo,Carlos Van Mieghem,Andrejs Erglis,Fay Y. Lin,Allison Dunning,Patricia Apruzzese,Matthew J. Budoff,Jason H. Cole,Farouc A. Jaffer,Martin B. Leon,Martin B. Leon,Jennifer Malpeso,G.B. John Mancini,Seung-Jung Park,Robert S. Schwartz,Leslee J. Shaw,Laura Mauri +20 more
TL;DR: Although the study did not achieve its prespecified primary outcome goal for the level of per-patient diagnostic accuracy, use of noninvasive FFR(CT) plus CT among stable patients with suspected or known CAD was associated with improved diagnostic accuracy and discrimination vs CT alone for the diagnosis of hemodynamically significant coronary stenosis.
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Age- and sex-related differences in all-cause mortality risk based on coronary computed tomography angiography findings results from the International Multicenter CONFIRM (Coronary CT Angiography Evaluation for Clinical Outcomes: An International Multicenter Registry) of 23,854 patients without known coronary artery disease.
James K. Min,Allison Dunning,Fay Y. Lin,Stephan Achenbach,Mouaz H. Al-Mallah,Matthew J. Budoff,Filippo Cademartiri,Tracy Q. Callister,Hyuk Jae Chang,Victor Y. Cheng,Kavitha Chinnaiyan,Benjamin J.W. Chow,Augustin Delago,Martin Hadamitzky,Joerg Hausleiter,Philipp A. Kaufmann,Erica Maffei,Gilbert L. Raff,Leslee J. Shaw,Todd C. Villines,Daniel S. Berman +20 more
TL;DR: Among individuals without known CAD, nonobstructive and obstructive CAD by CCTA are associated with higher rates of mortality, with risk profiles differing for age and sex, and absence of CAD is associated with a very favorable prognosis.
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Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis.
Manish Motwani,Damini Dey,Daniel S. Berman,Guido Germano,Stephan Achenbach,Mouaz H. Al-Mallah,Daniele Andreini,Matthew J. Budoff,Filippo Cademartiri,Filippo Cademartiri,Tracy Q. Callister,Hyuk Jae Chang,Kavitha Chinnaiyan,Benjamin J.W. Chow,Ricardo C. Cury,Augustin Delago,Millie Gomez,Heidi Gransar,Martin Hadamitzky,Joerg Hausleiter,Niree Hindoyan,Gudrun Feuchtner,Philipp A. Kaufmann,Yong Jin Kim,Jonathon Leipsic,Fay Y. Lin,Erica Maffei,Hugo Marques,Gianluca Pontone,Gilbert L. Raff,Ronen Rubinshtein,Leslee J. Shaw,Julia Stehli,Todd C. Villines,Allison Dunning,James K. Min,Piotr J. Slomka +36 more
TL;DR: Machine learning combining clinical and CCTA data was found to predict 5-year all-cause mortality significantly better than existing clinical or C CTA metrics alone.
Journal ArticleDOI
Adaptive statistical iterative reconstruction: assessment of image noise and image quality in coronary CT angiography.
Jonathon Leipsic,Troy M. LaBounty,Brett Heilbron,James K. Min,G.B. John Mancini,Fay Y. Lin,Carolyn Taylor,Allison Dunning,James P. Earls +8 more
TL;DR: When using a low tube current technique, cardiac CTA reconstruction using 40% or 60% ASIR significantly improved image quality and the proportion of interpretable segments compared with FBP reconstruction.
Journal ArticleDOI
Estimated Radiation Dose Reduction Using Adaptive Statistical Iterative Reconstruction in Coronary CT Angiography: The ERASIR Study
Jonathon Leipsic,Troy M. LaBounty,Brett Heilbron,James K. Min,G.B. John Mancini,Fay Y. Lin,Carolyn Taylor,Allison Dunning,James P. Earls +8 more
TL;DR: ASIR enabled reduced tube current and lower radiation dose in comparison with FBP, with preserved signal, noise, and study interpretability, in a large multicenter cohort of coronary CTA studies.