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Nikant Sabharwal

Showing results (41-50 of 53) with videos related to

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JACC. Cardiovascular Imaging|March 24, 2026
Standard and Ultrahigh Resolution Photon-Counting Coronary CTA-Derived FFR Against Invasive FFR AssessmentLeonardo Portolan, Rafail A Kotronias, Stefano Andreaggi, et al.
European Journal of Nuclear Medicine and Molecular Imaging|June 26, 2024
Sex differences in coronary atherosclerotic plaque activity using <sup>18</sup>F-sodium fluoride positron emission tomographyJacek Kwiecinski, Kang-Ling Wang, Evangelos Tzolos, et al.
Lancet (London, England)|September 2, 2018
Non-invasive detection of coronary inflammation using computed tomography and prediction of residual cardiovascular risk (the CRISP CT study): a post-hoc analysis of prospective outcome dataEvangelos K Oikonomou, Mohamed Marwan, Milind Y Desai, et al.
JACC. Cardiovascular Imaging|August 11, 2020
Identifying Cardiac Amyloid in Aortic Stenosis: ECV Quantification by CT in TAVR PatientsPaul R Scully, Kush P Patel, Bunny Saberwal, et al.
Science Translational Medicine|July 14, 2017
Detecting human coronary inflammation by imaging perivascular fatAlexios S Antonopoulos, Fabio Sanna, Nikant Sabharwal, et al.
Journal of the American College of Cardiology|November 12, 2020
Prevalence and Outcomes of Concomitant Aortic Stenosis and Cardiac AmyloidosisChristian Nitsche, Paul R Scully, Kush P Patel, et al.
Heart (British Cardiac Society)|September 9, 2021
Impact of afterload and infiltration on coexisting aortic stenosis and transthyretin amyloidosisKush P Patel, Paul Richard Scully, Christian Nitsche, et al.
European Heart Journal. Quality of Care & Clinical Outcomes|September 28, 2024
Cost-effectiveness of a novel AI technology to quantify coronary inflammation and cardiovascular risk in patients undergoing routine Coronary Computed Tomography AngiographyApostolos Tsiachristas, Kenneth Chan, Elizabeth Wahome, et al.
Journal of the American College of Cardiology|April 8, 2026
Early Prediction of Heart Failure From Routine Cardiac CT Using Radiomic Phenotyping of Epicardial FatEvangelos K Oikonomou, Kenneth Chan, Parijat Patel, et al.
European Heart Journal|September 11, 2019
A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiographyEvangelos K Oikonomou, Michelle C Williams, Christos P Kotanidis, et al.
Pageof 6

Showing results (41-50 of 53) with videos related to

Sort By:
Pageof 6
JACC. Cardiovascular Imaging|March 24, 2026
Standard and Ultrahigh Resolution Photon-Counting Coronary CTA-Derived FFR Against Invasive FFR AssessmentLeonardo Portolan, Rafail A Kotronias, Stefano Andreaggi, et al.
European Journal of Nuclear Medicine and Molecular Imaging|June 26, 2024
Sex differences in coronary atherosclerotic plaque activity using <sup>18</sup>F-sodium fluoride positron emission tomographyJacek Kwiecinski, Kang-Ling Wang, Evangelos Tzolos, et al.
Lancet (London, England)|September 2, 2018
Non-invasive detection of coronary inflammation using computed tomography and prediction of residual cardiovascular risk (the CRISP CT study): a post-hoc analysis of prospective outcome dataEvangelos K Oikonomou, Mohamed Marwan, Milind Y Desai, et al.
JACC. Cardiovascular Imaging|August 11, 2020
Identifying Cardiac Amyloid in Aortic Stenosis: ECV Quantification by CT in TAVR PatientsPaul R Scully, Kush P Patel, Bunny Saberwal, et al.
Science Translational Medicine|July 14, 2017
Detecting human coronary inflammation by imaging perivascular fatAlexios S Antonopoulos, Fabio Sanna, Nikant Sabharwal, et al.
Journal of the American College of Cardiology|November 12, 2020
Prevalence and Outcomes of Concomitant Aortic Stenosis and Cardiac AmyloidosisChristian Nitsche, Paul R Scully, Kush P Patel, et al.
Heart (British Cardiac Society)|September 9, 2021
Impact of afterload and infiltration on coexisting aortic stenosis and transthyretin amyloidosisKush P Patel, Paul Richard Scully, Christian Nitsche, et al.
European Heart Journal. Quality of Care & Clinical Outcomes|September 28, 2024
Cost-effectiveness of a novel AI technology to quantify coronary inflammation and cardiovascular risk in patients undergoing routine Coronary Computed Tomography AngiographyApostolos Tsiachristas, Kenneth Chan, Elizabeth Wahome, et al.
Journal of the American College of Cardiology|April 8, 2026
Early Prediction of Heart Failure From Routine Cardiac CT Using Radiomic Phenotyping of Epicardial FatEvangelos K Oikonomou, Kenneth Chan, Parijat Patel, et al.
European Heart Journal|September 11, 2019
A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiographyEvangelos K Oikonomou, Michelle C Williams, Christos P Kotanidis, et al.
Pageof 6