Andrew Lin
Cedars-Sinai Medical Center
42 Papers
19 Citations
Andrew Lin is an academic researcher from Cedars-Sinai Medical Center. The author has contributed to research in topics: Medicine & Coronary artery disease. The author has an hindex of 9, co-authored 36 publications. Previous affiliations of Andrew Lin include Monash University & St. Vincent's Health System.
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Papers
Myocardial Infarction Associates With a Distinct Pericoronary Adipose Tissue Radiomic Phenotype: A Prospective Case-Control Study
Andrew Lin,Márton Kolossváry,Jeremy Yuvaraj,Sebastien Cadet,Priscilla McElhinney,Cathy Jiang,Nitesh Nerlekar,Stephen J. Nicholls,Piotr J. Slomka,Pál Maurovich-Horvat,Dennis T.L. Wong,Damini Dey +11 more
TL;DR: Patients with acute MI have a distinct PCAT radiomic phenotype compared with patients with stable or no CAD, and a radiomics-based model outperforms a PCAT attenuation- based model in accurately identifying patients with MI.
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Perivascular Adipose Tissue and Coronary Atherosclerosis: from Biology to Imaging Phenotyping.
Andrew Lin,Andrew Lin,Damini Dey,Dennis T.L. Wong,Dennis T.L. Wong,Nitesh Nerlekar,Nitesh Nerlekar +6 more
TL;DR: PCAT CT attenuation has the potential to improve cardiovascular risk stratification, and future clinical studies should examine its role in guiding targeted medical therapy.
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Pericoronary adipose tissue computed tomography attenuation distinguishes different stages of coronary artery disease: a cross-sectional study.
Andrew Lin,Andrew Lin,Andrew Lin,Nitesh Nerlekar,Nitesh Nerlekar,Jeremy Yuvaraj,Jeremy Yuvaraj,Katrina Fernandes,Cathy Jiang,Stephen J. Nicholls,Stephen J. Nicholls,Damini Dey,Dennis T.L. Wong,Dennis T.L. Wong +13 more
TL;DR: PCAT CT attenuation as a quantitative measure of global coronary inflammation independently distinguishes patients with MI vs. stable CAD vs. no CAD, and future studies should assess whether this imaging biomarker can track patient responses to therapies in different stages of CAD.
Epicardial fat and coronary artery disease: Role of cardiac imaging
Marco Guglielmo,Andrew Lin,Damini Dey,Andrea Baggiano,Laura Fusini,Giuseppe Muscogiuri,Gianluca Pontone +6 more
TL;DR: An overview of the imaging techniques used to assess EAT, with a specific focus on cardiac computed tomography (CCT), has been provided in this paper, which has become the key modality in this field.
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Artificial Intelligence in Cardiovascular Imaging for Risk Stratification in Coronary Artery Disease
Andrew Lin,Márton Kolossváry,Manish Motwani,Ivana Išgum,Pál Maurovich-Horvat,Piotr J. Slomka,Damini Dey +6 more
TL;DR: A comprehensive review of state-of-the-art AI applications across various noninvasive imaging modalities (coronary artery calcium scoring CT, coronary CT angiography, and nuclear myocardial perfusion imaging) for the quantification of cardiovascular risk in coronary artery disease is provided in this article.
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