Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Roel S, Driessen"'
Autor:
Mouaz H Al-Mallah, Daniele Andreini, Hyuk-Jae Chang, Hugo Marques, Gianluca Pontone, Todd C Villines, James K Min, Guus A de Waard, Paul Knaapen, Faisal Nabi, U Joseph Schoepf, Sanghoon Shin, Yang Gao, Bin Lu, Chang-Wook Nam, Joon-Hyung Doh, Andrew D Choi, Robert Jennings, Jung Hyun Choi, Philippe Généreux, Rebecca Jonas, James Earls, Ae-Young Her, Bon Kwon Koo, Hyung-Bok Park, Jason Cole, Alessia Gimelli, Muhammad Akram Khan, Ryo Nakazato, Roel S Driessen, Michiel J Bom, Randall C Thompson, James J Jang, Michael Ridner, Chris Rowan, Erick Avelar, Tami R Crabtree
Publikováno v:
Open Heart, Vol 8, Iss 2 (2021)
Objective The study evaluates the relationship of coronary stenosis, atherosclerotic plaque characteristics (APCs) and age using artificial intelligence enabled quantitative coronary computed tomographic angiography (AI-QCT).Methods This is a post-ho
Externí odkaz:
https://doaj.org/article/3ab6d12266be4f7f8bb092b52b781321
Autor:
Michiel J. Bom, Evgeni Levin, Roel S. Driessen, Ibrahim Danad, Cornelis C. Van Kuijk, Albert C. van Rossum, Jagat Narula, James K. Min, Jonathon A. Leipsic, João P. Belo Pereira, Charles A. Taylor, Max Nieuwdorp, Pieter G. Raijmakers, Wolfgang Koenig, Albert K. Groen, Erik S.G. Stroes, Paul Knaapen
Publikováno v:
EBioMedicine, Vol 39, Iss , Pp 109-117 (2019)
Background: Risk stratification is crucial to improve tailored therapy in patients with suspected coronary artery disease (CAD). This study investigated the ability of targeted proteomics to predict presence of high-risk plaque or absence of coronary
Externí odkaz:
https://doaj.org/article/912e407d44bf42489c16a48cb612e335
Autor:
Pepijn A. van Diemen, Ruben W. de Winter, Stefan P. Schumacher, Michiel J. Bom, Roel S. Driessen, Henk Everaars, Ruurt A. Jukema, Yvemarie B. Somsen, Lenka Popelkova, Peter M. van de Ven, Albert C. van Rossum, Tim P. van de Hoef, Stefan de Haan, Koen M. Marques, Jorrit S. Lemkes, Yolande Appelman, Alexander Nap, Niels J. Verouden, Maksymilian P. Opolski, Ibrahim Danad, Paul Knaapen
Publikováno v:
Journal of Interventional Cardiology, Vol 2021 (2021)
Objectives. Quantitative flow ratio (QFR) computes fractional flow reserve (FFR) based on invasive coronary angiography (ICA). Residual QFR estimates post‐percutaneous coronary intervention (PCI) FFR. This study sought to assess the relationship of
Externí odkaz:
https://doaj.org/article/ba9d64cd305d4b4ba483cd902207dd8b
Autor:
William F. Griffin, Andrew D. Choi, Joanna S. Riess, Hugo Marques, Hyuk-Jae Chang, Jung Hyun Choi, Joon-Hyung Doh, Ae-Young Her, Bon-Kwon Koo, Chang-Wook Nam, Hyung-Bok Park, Sang-Hoon Shin, Jason Cole, Alessia Gimelli, Muhammad Akram Khan, Bin Lu, Yang Gao, Faisal Nabi, Ryo Nakazato, U. Joseph Schoepf, Roel S. Driessen, Michiel J. Bom, Randall Thompson, James J. Jang, Michael Ridner, Chris Rowan, Erick Avelar, Philippe Généreux, Paul Knaapen, Guus A. de Waard, Gianluca Pontone, Daniele Andreini, James P. Earls
Publikováno v:
JACC: Cardiovascular Imaging. 16:193-205
Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved. OBJECTIVES: The study compared the performance for detection and grading of coronary stenoses using artificial intelligence-enabled quantitative coronary computed tomograp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::600593c1bbf057560252723c5fd6ad5c
https://doi.org/10.1016/j.jcmg.2021.10.020
https://doi.org/10.1016/j.jcmg.2021.10.020
Autor:
Isabella Lipkin, Anha Telluri, Yumin Kim, Alfateh Sidahmed, Joseph M. Krepp, Brian G. Choi, Rebecca Jonas, Hugo Marques, Hyuk-Jae Chang, Jung Hyun Choi, Joon-Hyung Doh, Ae-Young Her, Bon-Kwon Koo, Chang-Wook Nam, Hyung-Bok Park, Sang-Hoon Shin, Jason Cole, Alessia Gimelli, Muhammad Akram Khan, Bin Lu, Yang Gao, Faisal Nabi, Ryo Nakazato, U. Joseph Schoepf, Roel S. Driessen, Michiel J. Bom, James J. Jang, Michael Ridner, Chris Rowan, Erick Avelar, Philippe Généreux, Paul Knaapen, Guus A. de Waard, Gianluca Pontone, Daniele Andreini, Mouaz H. Al-Mallah, Tami R. Crabtree, James P. Earls, Andrew D. Choi, James K. Min
Publikováno v:
AJR. American journal of roentgenology, 219(3), 407-419
Lipkin, I, Telluri, A, Kim, Y, Sidahmed, A, Krepp, J M, Choi, B G, Jonas, R, Marques, H, Chang, H-J, Choi, J H, Doh, J-H, Her, A-Y, Koo, B-K, Nam, C-W, Park, H-B, Shin, S-H, Cole, J, Gimelli, A, Khan, M A, Lu, B, Gao, Y, Nabi, F, Nakazato, R, Schoepf, U J, Driessen, R S, Bom, M J, Jang, J J, Ridner, M, Rowan, C, Avelar, E, Généreux, P, Knaapen, P, de Waard, G A, Pontone, G, Andreini, D, Al-Mallah, M H, Crabtree, T R, Earls, J P, Choi, A D & Min, J K 2022, ' Coronary CTA With AI-QCT Interpretation : Comparison With Myocardial Perfusion Imaging for Detection of Obstructive Stenosis Using Invasive Angiography as Reference Standard ', AJR. American journal of roentgenology, vol. 219, no. 3, pp. 407-419 . https://doi.org/10.2214/AJR.21.27289
Lipkin, I, Telluri, A, Kim, Y, Sidahmed, A, Krepp, J M, Choi, B G, Jonas, R, Marques, H, Chang, H-J, Choi, J H, Doh, J-H, Her, A-Y, Koo, B-K, Nam, C-W, Park, H-B, Shin, S-H, Cole, J, Gimelli, A, Khan, M A, Lu, B, Gao, Y, Nabi, F, Nakazato, R, Schoepf, U J, Driessen, R S, Bom, M J, Jang, J J, Ridner, M, Rowan, C, Avelar, E, Généreux, P, Knaapen, P, de Waard, G A, Pontone, G, Andreini, D, Al-Mallah, M H, Crabtree, T R, Earls, J P, Choi, A D & Min, J K 2022, ' Coronary CTA With AI-QCT Interpretation : Comparison With Myocardial Perfusion Imaging for Detection of Obstructive Stenosis Using Invasive Angiography as Reference Standard ', AJR. American journal of roentgenology, vol. 219, no. 3, pp. 407-419 . https://doi.org/10.2214/AJR.21.27289
BACKGROUND. Deep learning frameworks have been applied to interpretation of coronary CTA performed for coronary artery disease (CAD) evaluation. OBJECTIVE. The purpose of our study was to compare the diagnostic performance of myocardial perfusion ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1806a3eae9b5f37acf728ba919993316
https://doi.org/10.2214/ajr.21.27289
https://doi.org/10.2214/ajr.21.27289
Autor:
Ruben W de Winter, Ruurt A Jukema, Pepijn A van Diemen, Stefan P Schumacher, Roel S Driessen, Wynand J Stuijfzand, Henk Everaars, Michiel J Bom, Albert C van Rossum, Peter M van de Ven, Niels J Verouden, Alexander Nap, Pieter G Raijmakers, Ibrahim Danad, Paul Knaapen
Publikováno v:
European heart journal cardiovascular Imaging, 23(6), 743-752
de Winter, R W, Jukema, R A, van Diemen, P A, Schumacher, S P, Driessen, R S, Stuijfzand, W J, Everaars, H, Bom, M J, van Rossum, A C, van de Ven, P M, Verouden, N J, Nap, A, Raijmakers, P G, Danad, I & Knaapen, P 2022, ' The impact of coronary revascularization on vessel-specific coronary flow capacity and long-term outcomes : a serial [15O]H2O positron emission tomography perfusion imaging study ', European heart journal cardiovascular Imaging, vol. 23, no. 6, pp. 743-752 . https://doi.org/10.1093/ehjci/jeab263, https://doi.org/10.1093/ehjci/jeab263
de Winter, R W, Jukema, R A, van Diemen, P A, Schumacher, S P, Driessen, R S, Stuijfzand, W J, Everaars, H, Bom, M J, van Rossum, A C, van de Ven, P M, Verouden, N J, Nap, A, Raijmakers, P G, Danad, I & Knaapen, P 2022, ' The impact of coronary revascularization on vessel-specific coronary flow capacity and long-term outcomes : a serial [15O]H2O positron emission tomography perfusion imaging study ', European heart journal cardiovascular Imaging, vol. 23, no. 6, pp. 743-752 . https://doi.org/10.1093/ehjci/jeab263, https://doi.org/10.1093/ehjci/jeab263
Aims Coronary flow capacity (CFC) integrates quantitative hyperaemic myocardial blood flow (hMBF) and coronary flow reserve (CFR) to comprehensively assess physiological severity of coronary artery disease (CAD). This study evaluated the effects of r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30214517c6e38733a0c0a2b0ab288b6a
http://www.scopus.com/inward/record.url?scp=85131268530&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85131268530&partnerID=8YFLogxK
Autor:
Rebecca A. Jonas, Tami R. Crabtree, Robert S. Jennings, Hugo Marques, Richard J. Katz, Hyuk-Jae Chang, Wijnand J. Stuijfzand, Alexander R. van Rosendael, Jung Hyun Choi, Joon-Hyung Doh, Ae-Young Her, Bon-Kwon Koo, Chang-Wook Nam, Hyung-Bok Park, Sang-Hoon Shin, Jason Cole, Alessia Gimelli, Muhammad Akram Khan, Bin Lu, Yang Gao, Faisal Nabi, Ryo Nakazato, U. Joseph Schoepf, Roel S. Driessen, Michiel J. Bom, Randall C. Thompson, James J. Jang, Michael Ridner, Chris Rowan, Erick Avelar, Philippe Généreux, Paul Knaapen, Guus A. de Waard, Gianluca Pontone, Daniele Andreini, Mouaz H. Al-Mallah, Marco Guglielmo, Jeroen J. Bax, James P. Earls, James K. Min, Andrew D. Choi, Todd C. Villines
Publikováno v:
Diabetes Care, 46(2), 416-424. American Diabetes Association Inc.
Jonas, R A, Crabtree, T R, Jennings, R S, Marques, H, Katz, R J, Chang, H-J, Stuijfzand, W J, van Rosendael, A R, Choi, J H, Doh, J-H, Her, A-Y, Koo, B-K, Nam, C-W, Park, H-B, Shin, S-H, Cole, J, Gimelli, A, Khan, M A, Lu, B, Gao, Y, Nabi, F, Nakazato, R, Schoepf, U J, Driessen, R S, Bom, M J, Thompson, R C, Jang, J J, Ridner, M, Rowan, C, Avelar, E, G?n?reux, P, Knaapen, P, de Waard, G A, Pontone, G, Andreini, D, Al-Mallah, M H, Guglielmo, M, Bax, J J, Earls, J P, Min, J K, Choi, A D & Villines, T C 2023, ' Diabetes, Atherosclerosis, and Stenosis by AI ', Diabetes Care, vol. 46, no. 2, pp. 416-424 . https://doi.org/10.2337/dc21-1663
Jonas, R A, Crabtree, T R, Jennings, R S, Marques, H, Katz, R J, Chang, H-J, Stuijfzand, W J, van Rosendael, A R, Choi, J H, Doh, J-H, Her, A-Y, Koo, B-K, Nam, C-W, Park, H-B, Shin, S-H, Cole, J, Gimelli, A, Khan, M A, Lu, B, Gao, Y, Nabi, F, Nakazato, R, Schoepf, U J, Driessen, R S, Bom, M J, Thompson, R C, Jang, J J, Ridner, M, Rowan, C, Avelar, E, G?n?reux, P, Knaapen, P, de Waard, G A, Pontone, G, Andreini, D, Al-Mallah, M H, Guglielmo, M, Bax, J J, Earls, J P, Min, J K, Choi, A D & Villines, T C 2023, ' Diabetes, Atherosclerosis, and Stenosis by AI ', Diabetes Care, vol. 46, no. 2, pp. 416-424 . https://doi.org/10.2337/dc21-1663
OBJECTIVE This study evaluates the relationship between atherosclerotic plaque characteristics (APCs) and angiographic stenosis severity in patients with and without diabetes. Whether APCs differ based on lesion severity and diabetes status is unknow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::873a9d10cf4bcc61155c397ebb7eda03
https://research.vumc.nl/en/publications/4782f5e2-26b6-406b-8e5b-e5c5c157686d
https://research.vumc.nl/en/publications/4782f5e2-26b6-406b-8e5b-e5c5c157686d
Autor:
Keiichiro Kuronuma, Pepijn A. van Diemen, Donghee Han, Andrew Lin, Kajetan Grodecki, Jacek Kwiecinski, Manish Motwani, Priscilla McElhinney, Guadalupe Flores Tomasino, Caroline Park, Alan Kwan, Evangelos Tzolos, Eyal Klein, Benjamin Shou, Balaji Tamarappoo, Sebastien Cadet, Ibrahim Danad, Roel S. Driessen, Daniel S. Berman, Piotr J. Slomka, Damini Dey, Paul Knaapen
Publikováno v:
Kuronuma, K, van Diemen, P A, Han, D, Lin, A, Grodecki, K, Kwiecinski, J, Motwani, M, McElhinney, P, Tomasino, G F, Park, C, Kwan, A, Tzolos, E, Klein, E, Shou, B, Tamarappoo, B, Cadet, S, Danad, I, Driessen, R S, Berman, D S, Slomka, P J, Dey, D & Knaapen, P 2023, ' Relationship between impaired myocardial blood flow by positron emission tomography and low-attenuation plaque burden and pericoronary adipose tissue attenuation from coronary computed tomography : From the prospective PACIFIC trial ', Journal of Nuclear Cardiology . https://doi.org/10.1007/s12350-022-03194-z
Journal of Nuclear Cardiology
Journal of Nuclear Cardiology
Background: Positron emission tomography (PET) is the clinical gold standard for quantifying myocardial blood flow (MBF). Pericoronary adipose tissue (PCAT) attenuation may detect vascular inflammation indirectly. We examined the relationship between
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::467f8bb4cb3e97549f713e77ea19bcab
https://research.vumc.nl/en/publications/8e8d0d17-8e1c-4051-87fe-50b4b059eea9
https://research.vumc.nl/en/publications/8e8d0d17-8e1c-4051-87fe-50b4b059eea9
Autor:
Todd C. Villines, Andrew D. Choi, James K. Min, Tami R. Crabtree, Robert S. Jennings, Marco Guglielmo, Mouaz H. Al-Mallah, Daniele Andreini, Gianluca Pontone, Guus A. de Waard, Paul Knaapen, Philippe Généreux, Erick Avelar, Chris Rowan, Michael Ridner, James J. Jang, Randall C. Thompson, Michiel J. Bom, Roel S. Driessen, U. Joseph Schoepf, Ryo Nakazato, Faisal Nabi, Yang Gao, Bin Lu, Muhammad Akram Khan, Alessia Gimelli, Jason Cole, Sang-Hoon Shin, Hyung-Bok Park, Chang-Wook Nam, Bon-Kwon Koo, Ae-Young Her, Joon-Hyung Doh, Jung Hyun Choi, Hyuk-Jae Chang, Richard J. Katz, Hugo Marques, James P. Earls, Rebecca A. Jonas
Objectives: This study evaluates the relationship between atherosclerotic plaque characteristics (APCs) and angiographic stenosis severity in patients with and without diabetes. Background: Whether APCs differ based on lesion severity and diabetic st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b2fdb6f8bf3c200d92953b818af88bf
https://doi.org/10.2337/figshare.21341007
https://doi.org/10.2337/figshare.21341007
Autor:
Andrew Lin, Pepijn A. van Diemen, Manish Motwani, Priscilla McElhinney, Yuka Otaki, Donghee Han, Alan Kwan, Evangelos Tzolos, Eyal Klein, Keiichiro Kuronuma, Kajetan Grodecki, Benjamin Shou, Richard Rios, Nipun Manral, Sebastien Cadet, Ibrahim Danad, Roel S. Driessen, Daniel S. Berman, Bjarne L. Nørgaard, Piotr J. Slomka, Paul Knaapen, Damini Dey
Publikováno v:
Circulation: Cardiovascular Imaging, 15(10):e014369, 710-720
Lin, A, van Diemen, P A, Motwani, M, McElhinney, P, Otaki, Y, Han, D, Kwan, A, Tzolos, E, Klein, E, Kuronuma, K, Grodecki, K, Shou, B, Rios, R, Manral, N, Cadet, S, Danad, I, Driessen, R S, Berman, D S, Nørgaard, B L, Slomka, P J, Knaapen, P & Dey, D 2022, ' Machine Learning From Quantitative Coronary Computed Tomography Angiography Predicts Fractional Flow Reserve-Defined Ischemia and Impaired Myocardial Blood Flow ', Circulation: Cardiovascular Imaging, vol. 15, no. 10, e014369, pp. 710-720 . https://doi.org/10.1161/CIRCIMAGING.122.014369
Lin, A, van Diemen, P A, Motwani, M, McElhinney, P, Otaki, Y, Han, D, Kwan, A, Tzolos, E, Klein, E, Kuronuma, K, Grodecki, K, Shou, B, Rios, R, Manral, N, Cadet, S, Danad, I, Driessen, R S, Berman, D S, Nørgaard, B L, Slomka, P J, Knaapen, P & Dey, D 2022, ' Machine Learning From Quantitative Coronary Computed Tomography Angiography Predicts Fractional Flow Reserve-Defined Ischemia and Impaired Myocardial Blood Flow ', Circulation. Cardiovascular Imaging (Online), vol. 15, no. 10, pp. 710-720 . https://doi.org/10.1161/CIRCIMAGING.122.014369
Lin, A, van Diemen, P A, Motwani, M, McElhinney, P, Otaki, Y, Han, D, Kwan, A, Tzolos, E, Klein, E, Kuronuma, K, Grodecki, K, Shou, B, Rios, R, Manral, N, Cadet, S, Danad, I, Driessen, R S, Berman, D S, Nørgaard, B L, Slomka, P J, Knaapen, P & Dey, D 2022, ' Machine Learning From Quantitative Coronary Computed Tomography Angiography Predicts Fractional Flow Reserve-Defined Ischemia and Impaired Myocardial Blood Flow ', Circulation: Cardiovascular Imaging, vol. 15, no. 10, e014369, pp. 710-720 . https://doi.org/10.1161/CIRCIMAGING.122.014369
Lin, A, van Diemen, P A, Motwani, M, McElhinney, P, Otaki, Y, Han, D, Kwan, A, Tzolos, E, Klein, E, Kuronuma, K, Grodecki, K, Shou, B, Rios, R, Manral, N, Cadet, S, Danad, I, Driessen, R S, Berman, D S, Nørgaard, B L, Slomka, P J, Knaapen, P & Dey, D 2022, ' Machine Learning From Quantitative Coronary Computed Tomography Angiography Predicts Fractional Flow Reserve-Defined Ischemia and Impaired Myocardial Blood Flow ', Circulation. Cardiovascular Imaging (Online), vol. 15, no. 10, pp. 710-720 . https://doi.org/10.1161/CIRCIMAGING.122.014369
Background: A pathophysiological interplay exists between plaque morphology and coronary physiology. Machine learning (ML) is increasingly being applied to coronary computed tomography angiography (CCTA) for cardiovascular risk stratification. We sou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cfcd2b87d919d9831c522f908b8e32c
https://research.vumc.nl/en/publications/883eebb2-3ff0-4047-9201-71ed9518eb5f
https://research.vumc.nl/en/publications/883eebb2-3ff0-4047-9201-71ed9518eb5f