Author: "Andrew D, Choi" - Searchworks@Jio Institute Digital Library Search Results

Your search keyword '"Andrew D, Choi"' showing total 147 results

Start Over Author "Andrew D, Choi"

147 results on '"Andrew D, Choi"'

1. Editorial: Multimodality imaging in cardiomyopathy

Author: Allison G. Hays, Andrew D. Choi, Juan Lopez-Mattei, and Monica Mukherjee
Subjects: echocardiography, cardiac magnetic resonance (CMR) imaging, cardiac computed tomographic (CT) imaging, positron emission tomography (PET), multimodality imaging, Diseases of the circulatory (Cardiovascular) system, RC666-701
Published: 2023
Full Text: View/download PDF

2. Impact of COVID-19 Pandemic on Cardiovascular Testing in Asia

Author: Takashi Kudo, MD, PhD, Ryan Lahey, MD, PhD, Cole B. Hirschfeld, MD, Michelle C. Williams, MBChB, PhD, Bin Lu, MD, PhD, Mirvat Alasnag, MD, Mona Bhatia, MD, Hee-Seung Henry Bom, MD, PhD, Tairkhan Dautov, MD, Reza Fazel, MD, MSc, Ganesan Karthikeyan, MD, Felix Y.J. Keng, MBBS, Ronen Rubinshtein, MD, Nathan Better, MBBS, Rodrigo Julio Cerci, MD, Sharmila Dorbala, MD, MPH, Paolo Raggi, MD, Leslee J. Shaw, PhD, Todd C. Villines, MD, João V. Vitola, MD, PhD, Andrew D. Choi, MD, Eli Malkovskiy, Benjamin Goebel, BS, Yosef A. Cohen, BA, Michael Randazzo, MD, Thomas N.B. Pascual, MD, Yaroslav Pynda, MSc, Maurizio Dondi, MD, PhD, Diana Paez, MD, MEd, Andrew J. Einstein, MD, PhD, Andrew J. Einstein, Diana Paez, Maurizio Dondi, Nathan Better, Rodrigo Cerci, Sharmila Dorbala, Thomas N.B. Pascual, Paolo Raggi, Leslee J. Shaw, Todd C. Villines, Joao V. Vitola, Michelle C. Williams, Yaroslav Pynda, Gerd Hinterleitner, Yao Lu, Olga Morozova, Zhuoran Xu, Cole B. Hirschfeld, Yosef Cohen, Benjamin Goebel, Michael Randazzo, Andrew Choi, Juan Lopez-Mattei, Purvi Parwani, Mohammad Nawaz Nasery, Artan Goda, Ervina Shirka, Rabie Benlabgaa, Salah Bouyoucef, Abdelkader Medjahedi, Qais Nailli, Mariela Agolti, Roberto Nicolas Aguero, Maria del Carmen Alak, Lucia Graciela Alberguina, Guillermo Arroñada, Andrea Astesiano, Alfredo Astesiano, Carolina Bas Norton, Pablo Benteo, Juan Blanco, Juan Manuel Bonelli, Jose Javier Bustos, Raul Cabrejas, Jorge Cachero, Roxana Campisi, Alejandro Canderoli, Silvia Carames, Patrícia Carrascosa, Ricardo Castro, Oscar Cendoya, Luciano Martin Cognigni, Carlos Collaud, Claudia Cortes, Javier Courtis, Daniel Cragnolino, Mariana Daicz, Alejandro De La Vega, Silvia Teresa De Maria, Horacio Del Riego, Fernando Dettori, Alejandro Deviggiano, Laura Dragonetti, Mario Embon, Ruben Emilio Enriquez, Jorge Ensinas, Fernando Faccio, Adolfo Facello, Diego Garofalo, Ricardo Geronazzo, Natalia Gonza, Lucas Gutierrez, Miguel Angel Guzzo, Victor Hasbani, Melina Huerin, Victor Jäger, Julio Manuel Lewkowicz, Maria Nieves A. López De Munaín, Jose Maria Lotti, Alejandra Marquez, Osvaldo Masoli, Osvaldo Horacio Masoli, Edgardo Mastrovito, Matias Mayoraz, Graciela Eva Melado, Anibal Mele, Maria Fernanda Merani, Alejandro Horacio Meretta, Susana Molteni, Marcos Montecinos, Eduardo Noguera, Carlos Novoa, Claudio Pereyra Sueldo, Sebastian Perez Ascani, Pablo Pollono, Maria Paula Pujol, Alejandro Radzinschi, Gustavo Raimondi, Marcela Redruello, Marina Rodríguez, Matías Rodríguez, Romina Lorena Romero, Arturo Romero Acuña, Federico Rovaletti, Lucas San Miguel, Lucrecia Solari, Bruno Strada, Sonia Traverso, Sonia Simona Traverzo, Maria del Huerto Velazquez Espeche, Juan Sebastian Weihmuller, Juan Wolcan, Susana Zeffiro, Mari Sakanyan, Scott Beuzeville, Raef Boktor, Patrick Butler, Jennifer Calcott, Loretta Carr, Virgil Chan, Charles Chao, Woon Chong, Mark Dobson, D'Arne Downie, Girish Dwivedi, Barry Elison, Jean Engela, Roslyn Francis, Anand Gaikwad, Ashok Gangasandra Basavaraj, Bruce Goodwin, Robert Greenough, Christian Hamilton-Craig, Victar Hsieh, Subodh Joshi, Karin Lederer, Kenneth Lee, Joseph Lee, John Magnussen, Nghi Mai, Gordon Mander, Fiona Murton, Dee Nandurkar, Johanne Neill, Edward O'Rourke, Patricia O'Sullivan, George Pandos, Kunthi Pathmaraj, Alexander Pitman, Rohan Poulter, Manuja Premaratne, David Prior, Lloyd Ridley, Natalie Rutherford, Hamid Salehi, Connor Saunders, Luke Scarlett, Sujith Seneviratne, Deepa Shetty, Ganesh Shrestha, Jonathan Shulman, Vijay Solanki, Tony Stanton, Murch Stuart, Michael Stubbs, Ian Swainson, Kim Taubman, Andrew Taylor, Paul Thomas, Steven Unger, Anthony Upton, Shankar Vamadevan, William Van Gaal, Johan Verjans, Demetrius Voutnis, Victor Wayne, Peter Wilson, David Wong, Kirby Wong, John Younger, Gudrun Feuchtner, Siroos Mirzaei, Konrad Weiss, Natallia Maroz-Vadalazhskaya, Olivier Gheysens, Filip Homans, Rodrigo Moreno-Reyes, Agnès Pasquet, Veronique Roelants, Caroline M. Van De Heyning, Raúl Araujo Ríos, Valentina Soldat-Stankovic, Sinisa Stankovic, Maria Helena Albernaz Siqueira, Augusto Almeida, Paulo Henrique Alves Togni, Jose Henrique Andrade, Luciana Andrade, Carlos Anselmi, Roberta Araújo, Guilherme Azevedo, Sabbrina Bezerra, Rodrigo Biancardi, Gabriel Blacher Grossman, Simone Brandão, Diego Bromfman Pianta, Lara Carreira, Bruno Castro, Tien Chang, Fernando Cunali, Jr., Roberto Cury, Roberto Dantas, Fernando de Amorim Fernandes, Andrea De Lorenzo, Robson De Macedo Filho, Fernanda Erthal, Fabio Fernandes, Juliano Fernandes, Thiago Ferreira De Souza, Wilson Furlan Alves, Bruno Ghini, Luiz Goncalves, Ilan Gottlieb, Marcelo Hadlich, Vinícius Kameoka, Ronaldo Lima, Adna Lima, Rafael Willain Lopes, Ricardo Machado e Silva, Tiago Magalhães, Fábio Martins Silva, Luiz Eduardo Mastrocola, Fábio Medeiros, José Claudio Meneghetti, Vania Naue, Danilo Naves, Roberto Nolasco, Cesar Nomura, Joao Bruno Oliveira, Eduardo Paixao, Filipe Penna De Carvalho, Ibraim Pinto, Priscila Possetti, Mayra Quinta, Rodrigo Rizzo Nogueira Ramos, Ricardo Rocha, Alfredo Rodrigues, Carlos Rodrigues, Leila Romantini, Adelina Sanches, Sara Santana, Leonardo Sara da Silva, Paulo Schvartzman, Cristina Sebastião Matushita, Tiago Senra, Afonso Shiozaki, Maria Eduarda Menezes de Siqueira, Cristiano Siqueira, Paola Smanio, Carlos Eduardo Soares, José Soares Junior, Marcio Sommer Bittencourt, Bernardo Spiro, Cláudio Tinoco Mesquita, Jorge Torreao, Rafael Torres, Marly Uellendahl, Guilherme Urpia Monte, Otávia Veríssimo, Estevan Vieira Cabeda, Felipe Villela Pedras, Roberto Waltrick, Marcello Zapparoli, Hamid Naseer, Marina Garcheva-Tsacheva, Irena Kostadinova, Youdaline Theng, Gad Abikhzer, Rene Barette, Benjamin Chow, Dominique Dabreo, Matthias Friedrich, Ria Garg, Mohammed Nassoh Hafez, Chris Johnson, Marla Kiess, Jonathon Leipsic, Eugene Leung, Robert Miller, Anastasia Oikonomou, Stephan Probst, Idan Roifman, Gary Small, Vikas Tandon, Adwait Trivedi, James White, Katherine Zukotynski, Jose Canessa, Gabriel Castro Muñoz, Carmen Concha, Pablo Hidalgo, Cesar Lovera, Teresa Massardo, Luis Salazar Vargas, Pedro Abad, Harold Arturo, Sandra Ayala, Luis Benitez, Alberto Cadena, Carlos Caicedo, Antonio Calderón Moncayo, Sharon Gomez, Claudia T. Gutierrez Villamil, Claudia Jaimes, Juan Londoño, Juan Luis Londoño Blair, Luz Pabon, Mauricio Pineda, Juan Carlos Rojas, Diego Ruiz, Manuel Valencia Escobar, Andres Vasquez, Damiana Vergel, Alejandro Zuluaga, Isabel Berrocal Gamboa, Gabriel Castro, Ulises González, Ana Baric, Tonci Batinic, Maja Franceschi, Maja Hrabak Paar, Mladen Jukic, Petar Medakovic, Viktor Persic, Marina Prpic, Ante Punda, Juan Felipe Batista, Juan Manuel Gómez Lauchy, Yamile Marcos Gutierrez, Rayner Menéndez, Amalia Peix, Luis Rochela, Christoforos Panagidis, Ioannis Petrou, Vaclav Engelmann, Milan Kaminek, Vladimír Kincl, Otto Lang, Milan Simanek, Jawdat Abdulla, Morten Bøttcher, Mette Christensen, Lars Christian Gormsen, Philip Hasbak, Søren Hess, Paw Holdgaard, Allan Johansen, Kasper Kyhl, Bjarne Linde Norgaard, Kristian Altern Øvrehus, Niels Peter Rønnow Sand, Rolf Steffensen, Anders Thomassen, Bo Zerahn, Alfredo Perez, Giovanni Alejandro Escorza Velez, Mayra Sanchez Velez, Islam Shawky Abdel Aziz, Mahasen Abougabal, Taghreed Ahmed, Adel Allam, Ahmed Asfour, Mona Hassan, Alia Hassan, Ahmed Ibrahim, Sameh Kaffas, Ahmed Kandeel, Mohamed Mandour Ali, Ahmad Mansy, Hany Maurice, Sherif Nabil, Mahmoud Shaaban, Ana Camila Flores, Anne Poksi, Juhani Knuuti, Velipekka Kokkonen, Martti Larikka, Valtteri Uusitalo, Matthieu Bailly, Samuel Burg, Jean-François Deux, Vincent Habouzit, Fabien Hyafil, Olivier Lairez, Franck Proffit, Hamza Regaieg, Laure Sarda-Mantel, Vania Tacher, Roman P. Schneider, Harold Ayetey, George Angelidis, Aikaterini Archontaki, Sofia Chatziioannou, Ioannis Datseris, Christina Fragkaki, Panagiotis Georgoulias, Sophia Koukouraki, Maria Koutelou, Eleni Kyrozi, Evangelos Repasos, Petros Stavrou, Pipitsa Valsamaki, Carla Gonzalez, Goleat Gutierrez, Alejandro Maldonado, Klara Buga, Ildiko Garai, Pál Maurovich-Horvat, Erzsébet Schmidt, Balint Szilveszter, Edit Várady, Nilesh Banthia, Jinendra Kumar Bhagat, Rishi Bhargava, Vivek Bhat, Mona Bhatia, Partha Choudhury, Vijay Sai Chowdekar, Aparna Irodi, Shashank Jain, Elizabeth Joseph, Sukriti Kumar, Prof Dr Girijanandan Mahapatra, Deepanjan Mitra, Bhagwant Rai Mittal, Ahmad Ozair, Chetan Patel, Tapan Patel, Ravi Patel, Shivani Patel, Sudhir Saxena, Shantanu Sengupta, Santosh Singh, Bhanupriya Singh, Ashwani Sood, Atul Verma, Erwin Affandi, Padma Savenadia Alam, Edison Edison, Gani Gunawan, Habusari Hapkido, Basuki Hidayat, Aulia Huda, Anggoro Praja Mukti, Djoko Prawiro, Erwin Affandi Soeriadi, Hilman Syawaluddin, Amjed Albadr, Majid Assadi, Farshad Emami, Golnaz Houshmand, Majid Maleki, Maryam Tajik Rostami, Seyed Rasoul Zakavi, Eed Abu Zaid, Svetlana Agranovich, Yoav Arnson, Rachel Bar-Shalom, Alex Frenkel, Galit Knafo, Rachel Lugassi, Israel Shlomo Maor Moalem, Maya Mor, Noam Muskal, Sara Ranser, Aryeh Shalev, Domenico Albano, Pierpaolo Alongi, Gaspare Arnone, Elisa Bagatin, Sergio Baldari, Matteo Bauckneht, Paolo Bertelli, Francesco Bianco, Rachele Bonfiglioli, Roberto Boni, Andrea Bruno, Isabella Bruno, Elena Busnardo, Elena Califaretti, Luca Camoni, Aldo Carnevale, Roberta Casoni, Armando Ugo Cavallo, Giorgio Cavenaghi, Franca Chierichetti, Marcello Chiocchi, Corrado Cittanti, Mauro Colletta, Umberto Conti, Alberto Cossu, Alberto Cuocolo, Marco Cuzzocrea, Maria Luisa De Rimini, Giuseppe De Vincentis, Eleonora Del Giudice, Alberico Del Torto, Veronica Della Tommasina, Rexhep Durmo, Paola Anna Erba, Laura Evangelista, Riccardo Faletti, Evelina Faragasso, Mohsen Farsad, Paola Ferro, Luigia Florimonte, Viviana Frantellizzi, Fabio Massimo Fringuelli, Marco Gatti, Angela Gaudiano, Alessia Gimelli, Raffaele Giubbini, Francesca Giuffrida, Salvatore Ialuna, Riccardo Laudicella, Lucia Leccisotti, Lucia Leva, Riccardo Liga, Carlo Liguori, Giampiero Longo, Margherita Maffione, Maria Elisabetta Mancini, Claudio Marcassa, Elisa Milan, Barbara Nardi, Sara Pacella, Giovanna Pepe, Gianluca Pontone, Sabina Pulizzi, Natale Quartuccio, Lucia Rampin, Fabrizio Ricci, Pierluigi Rossini, Giuseppe Rubini, Vincenzo Russo, Gian Mauro Sacchetti, Gianmario Sambuceti, Massimo Scarano, Roberto Sciagrà, Massimiliano Sperandio, Antonella Stefanelli, Guido Ventroni, Stefania Zoboli, Dainia Baugh, Duane Chambers, Ernest Madu, Felix Nunura, Hiroshi Asano, Chimura Misato Chimura, Shinichiro Fujimoto, Koichiro Fujisue, Tomohisa Fukunaga, Yoshimitsu Fukushima, Kae Fukuyama, Jun Hashimoto, Yasutaka Ichikawa, Nobuo Iguchi, Masamichi Imai, Anri Inaki, Hayato Ishimura, Satoshi Isobe, Toshiaki Kadokami, Takao Kato, Takashi Kudo, Shinichiro Kumita, Hirotaka Maruno, Hiroyuki Mataki, Masao Miyagawa, Ryota Morimoto, Masao Moroi, Shigeki Nagamachi, Kenichi Nakajima, Tomoaki Nakata, Ryo Nakazato, Mamoru Nanasato, Masanao Naya, Takashi Norikane, Yasutoshi Ohta, Satoshi Okayama, Atsutaka Okizaki, Yoichi Otomi, Hideki Otsuka, Masaki Saito, Sakata Yasushi Sakata, Masayoshi Sarai, Daisuke Sato, Shinya Shiraishi, Yoshinobu Suwa, Kentaro Takanami, Kazuya Takehana, Junichi Taki, Nagara Tamaki, Yasuyo Taniguchi, Hiroki Teragawa, Nobuo Tomizawa, Kenichi Tsujita, Kyoko Umeji, Yasushi Wakabayashi, Shinichiro Yamada, Shinya Yamazaki, Tatsuya Yoneyama, Mohammad Rawashdeh, Daultai Batyrkhanov, Tairkhan Dautov, Khalid Makhdomi, Kevin Ombati, Faridah Alkandari, Masoud Garashi, Tchoyoson Lim Coie, Sonexay Rajvong, Artem Kalinin, Marika Kalnina, Mohamad Haidar, Renata Komiagiene, Giedre Kviecinskiene, Mindaugas Mataciunas, Donatas Vajauskas, Christian Picard, Noor Khairiah A. Karim, Luise Reichmuth, Anthony Samuel, Mohammad Aaftaab Allarakha, Ambedhkar Shantaram Naojee, Erick Alexanderson-Rosas, Erika Barragan, Alejandro Becerril González-Montecinos, Manuel Cabada, Daniel Calderon Rodriguez, Isabel Carvajal-Juarez, Violeta Cortés, Filiberto Cortés, Erasmo De La Peña, Manlio Gama-Moreno, Luis González, Nelsy Gonzalez Ramírez, Moisés Jiménez-Santos, Luis Matos, Edgar Monroy, Martha Morelos, Mario Ornelas, Jose Alberto Ortga Ramirez, Andrés Preciado-Anaya, Óscar Ulises Preciado-Gutiérrez, Adriana Puente Barragan, Sandra Graciela Rosales Uvera, Sigelinda Sandoval, Miguel Santaularia Tomas, Lilia M. Sierra-Galan, Silvia Siu, Enrique Vallejo, Mario Valles, Marc Faraggi, Erdenechimeg Sereegotov, Srdja Ilic, Nozha Ben-Rais, Nadia Ismaili Alaoui, Sara Taleb, Khin Pa Pa Myo, Phyo Si Thu, Ram Kumar Ghimire, Bijoy Rajbanshi, Peter Barneveld, Andor Glaudemans, Jesse Habets, Klaas Pieter Koopmans, Jeroen Manders, Stefan Pool, Arthur Scholte, Asbjørn Scholtens, Riemer Slart, Paul Thimister, Erik-Jan Van Asperen, Niels Veltman, Derk Verschure, Nils Wagenaar, John Edmond, Chris Ellis, Kerryanne Johnson, Ross Keenan, Shaw Hua (Anthony) Kueh, Christopher Occleshaw, Alexander Sasse, Andrew To, Niels Van Pelt, Calum Young, Teresa Cuadra, Hector Bladimir Roque Vanegas, Idrissa Adamou Soli, Djibrillou Moussa Issoufou, Tolulope Ayodele, Chibuzo Madu, Yetunde Onimode, Elen Efros-Monsen, Signe Helene Forsdahl, Jenni-Mari Hildre Dimmen, Arve Jørgensen, Isabel Krohn, Pål Løvhaugen, Anders Tjellaug Bråten, Humoud Al Dhuhli, Faiza Al Kindi, Naeema Al-Bulushi, Zabah Jawa, Naima Tag, Muhammad Shehzad Afzal, Shazia Fatima, Muhammad Numair Younis, Musab Riaz, Mohammad Saadullah, Yariela Herrera, Dora Lenturut-Katal, Manuel Castillo Vázquez, José Ortellado, Afroza Akhter, Dianbo Cao, Stephen Cheung, Xu Dai, Lianggeng Gong, Dan Han, Yang Hou, Caiying Li, Tao Li, Dong Li, Sijin Li, Jinkang Liu, Hui Liu, Bin Lu, Ming Yen Ng, Kai Sun, Gongshun Tang, Jian Wang, Ximing Wang, Zhao-Qian Wang, Yining Wang, Yifan Wang, Jiang Wu, Zhifang Wu, Liming Xia, Jiangxi Xiao, Lei Xu, Youyou Yang, Wu Yin, Jianqun Yu, Li Yuan, Tong Zhang, Longjiang Zhang, Yong-Gao Zhang, Xiaoli Zhang, Li Zhu, Ana Alfaro, Paz Abrihan, Asela Barroso, Eric Cruz, Marie Rhiamar Gomez, Vincent Peter Magboo, John Michael Medina, Jerry Obaldo, Davidson Pastrana, Christian Michael Pawhay, Alvin Quinon, Jeanelle Margareth Tang, Bettina Tecson, Kristine Joy Uson, Mila Uy, Magdalena Kostkiewicz, Jolanta Kunikowska, Nuno Bettencourt, Guilhermina Cantinho, Antonio Ferreira, Ghulam Syed, Samer Arnous, Said Atyani, Angela Byrne, Tadhg Gleeson, David Kerins, Conor Meehan, David Murphy, Mark Murphy, John Murray, Julie O'Brien, Ji-In Bang, Henry Bom, Sang-Geon Cho, Chae Moon Hong, Su Jin Jang, Yong Hyu Jeong, Won Jun Kang, Ji-Young Kim, Jaetae Lee, Chang Kyeong Namgung, Young So, Kyoung Sook Won, Venjamin Majstorov, Marija Vavlukis, Barbara Gužic Salobir, Monika Štalc, Theodora Benedek, Imre Benedek, Raluca Mititelu, Claudiu Adrian Stan, Alexey Ansheles, Olga Dariy, Olga Drozdova, Nina Gagarina, Vsevolod Milyevich Gulyaev, Irina Itskovich, Anatoly Karalkin, Alexander Kokov, Ekaterina Migunova, Viktor Pospelov, Daria Ryzhkova, Guzaliya Saifullina, Svetlana Sazonova, Vladimir Sergienko, Irina Shurupova, Tatjana Trifonova, Wladimir Yurievich Ussov, Margarita Vakhromeeva, Nailya Valiullina, Konstantin Zavadovsky, Kirill Zhuravlev, Mirvat Alasnag, Subhani Okarvi, Dragana Sobic Saranovic, Felix Keng, Jia Hao Jason See, Ramkumar Sekar, Min Sen Yew, Andrej Vondrak, Shereen Bejai, George Bennie, Ria Bester, Gerrit Engelbrecht, Osayande Evbuomwan, Harlem Gongxeka, Magritha Jv Vuuren, Mitchell Kaplan, Purbhoo Khushica, Hoosen Lakhi, Lizette Louw, Nico Malan, Katarina Milos, Moshe Modiselle, Stuart More, Mathava Naidoo, Leonie Scholtz, Mboyo Vangu, Santiago Aguadé-Bruix, Isabel Blanco, Antonio Cabrera, Alicia Camarero, Irene Casáns-Tormo, Hug Cuellar-Calabria, Albert Flotats, Maria Eugenia Fuentes Cañamero, María Elia García, Amelia Jimenez-Heffernan, Rubén Leta, Javier Lopez Diaz, Luis Lumbreras, Juan Javier Marquez-Cabeza, Francisco Martin, Anxo Martinez de Alegria, Francisco Medina, Maria Pedrera Canal, Virginia Peiro, Virginia Pubul-Nuñez, Juan Ignacio Rayo Madrid, Cristina Rodríguez Rey, Ricardo Ruano Perez, Joaquín Ruiz, Gertrudis Sabatel Hernández, Ana Sevilla, Nahla Zeidán, Damayanthi Nanayakkara, Chandraguptha Udugama, Magnus Simonsson, Hatem Alkadhi, Ronny Ralf Buechel, Peter Burger, Luca Ceriani, Bart De Boeck, Christoph Gräni, Alix Juillet de Saint Lager Lucas, Christel H. Kamani, Nadine Kawel-Boehm, Robert Manka, John O. Prior, Axel Rominger, Jean-Paul Vallée, Benjapa Khiewvan, Teerapon Premprabha, Tanyaluck Thientunyakit, Ali Sellem, Kemal Metin Kir, Haluk Sayman, Mugisha Julius Sebikali, Zerida Muyinda, Yaroslav Kmetyuk, Pavlo Korol, Olena Mykhalchenko, Volodymyr Pliatsek, Maryna Satyr, Batool Albalooshi, Mohamed Ismail Ahmed Hassan, Jill Anderson, Punit Bedi, Thomas Biggans, Anda Bularga, Russell Bull, Rajesh Burgul, John-Paul Carpenter, Duncan Coles, David Cusack, Aparna Deshpande, John Dougan, Timothy Fairbairn, Alexia Farrugia, Deepa Gopalan, Alistair Gummow, Prasad Guntur Ramkumar, Mark Hamilton, Mark Harbinson, Thomas Hartley, Benjamin Hudson, Nikhil Joshi, Michael Kay, Andrew Kelion, Azhar Khokhar, Jamie Kitt, Ken Lee, Chen Low, Sze Mun Mak, Ntouskou Marousa, Jon Martin, Elisa Mcalindon, Leon Menezes, Gareth Morgan-Hughes, Alastair Moss, Anthony Murray, Edward Nicol, Dilip Patel, Charles Peebles, Francesca Pugliese, Jonathan Carl Luis Rodrigues, Christopher Rofe, Nikant Sabharwal, Rebecca Schofield, Thomas Semple, Naveen Sharma, Peter Strouhal, Deepak Subedi, William Topping, Katharine Tweed, Jonathan Weir-Mccall, Suhny Abbara, Taimur Abbasi, Brian Abbott, Shady Abohashem, Sandra Abramson, Tarek Al-Abboud, Mouaz Al-Mallah, Omar Almousalli, Karthikeyan Ananthasubramaniam, Mohan Ashok Kumar, Jeffrey Askew, Lea Attanasio, Mallory Balmer-Swain, Richard R. Bayer, Adam Bernheim, Sabha Bhatti, Erik Bieging, Ron Blankstein, Stephen Bloom, Sean Blue, David Bluemke, Andressa Borges, Kelley Branch, Paco Bravo, Jessica Brothers, Matthew Budoff, Renée Bullock-Palmer, Angela Burandt, Floyd W. Burke, Kelvin Bush, Candace Candela, Elizabeth Capasso, Joao Cavalcante, Donald Chang, Saurav Chatterjee, Yiannis Chatzizisis, Michael Cheezum, Tiffany Chen, Jennifer Chen, Marcus Chen, James Clarcq, Ayreen Cordero, Matthew Crim, Sorin Danciu, Bruce Decter, Nimish Dhruva, Neil Doherty, Rami Doukky, Anjori Dunbar, William Duvall, Rachael Edwards, Kerry Esquitin, Husam Farah, Emilio Fentanes, Maros Ferencik, Daniel Fisher, Daniel Fitzpatrick, Cameron Foster, Tony Fuisz, Michael Gannon, Lori Gastner, Myron Gerson, Brian Ghoshhajra, Alan Goldberg, Brian Goldner, Jorge Gonzalez, Rosco Gore, Sandra Gracia-López, Fadi Hage, Agha Haider, Sofia Haider, Yasmin Hamirani, Karen Hassen, Mallory Hatfield, Carolyn Hawkins, Katie Hawthorne, Nicholas Heath, Robert Hendel, Phillip Hernandez, Gregory Hill, Stephen Horgan, Jeff Huffman, Lynne Hurwitz, Ami Iskandrian, Rajesh Janardhanan, Christine Jellis, Scott Jerome, Dinesh Kalra, Summanther Kaviratne, Fernando Kay, Faith Kelly, Omar Khalique, Mona Kinkhabwala, George Kinzfogl Iii, Jacqueline Kircher, Rachael Kirkbride, Michael Kontos, Anupama Kottam, Joseph Krepp, Jay Layer, Steven H. Lee, Jeffrey Leppo, John Lesser, Steve Leung, Howard Lewin, Diana Litmanovich, Yiyan Liu, Kathleen Magurany, Jeremy Markowitz, Amanda Marn, Stephen E. Matis, Michael Mckenna, Tony Mcrae, Fernando Mendoza, Michael Merhige, David Min, Chanan Moffitt, Karen Moncher, Warren Moore, Shamil Morayati, Michael Morris, Mahmud Mossa-Basha, Zorana Mrsic, Venkatesh Murthy, Prashant Nagpal, Kyle Napier, Katarina Nelson, Prabhjot Nijjar, Medhat Osman, Edward Passen, Amit Patel, Pravin Patil, Ryan Paul, Lawrence Phillips, Venkateshwar Polsani, Rajaram Poludasu, Brian Pomerantz, Thomas Porter, Ryan Prentice, Amit Pursnani, Mark Rabbat, Suresh Ramamurti, Florence Rich, Hiram Rivera Luna, Austin Robinson, Kim Robles, Cesar Rodríguez, Mark Rorie, John Rumberger, Raymond Russell, Philip Sabra, Diego Sadler, Mary Schemmer, U. Joseph Schoepf, Samir Shah, Nishant Shah, Sujata Shanbhag, Gaurav Sharma, Steven Shayani, Jamshid Shirani, Pushpa Shivaram, Steven Sigman, Mitch Simon, Ahmad Slim, David Smith, Alexandra Smith, Prem Soman, Aditya Sood, Monvadi Barbara Srichai-Parsia, James Streeter, Albert T, Ahmed Tawakol, Dustin Thomas, Randall Thompson, Tara Torbet, Desiree Trinidad, Shawn Ullery, Samuel Unzek, Seth Uretsky, Srikanth Vallurupalli, Vikas Verma, Alfonso Waller, Ellen Wang, Parker Ward, Gaby Weissman, George Wesbey, Kelly White, David Winchester, David Wolinsky, Sandra Yost, Michael Zgaljardic, Omar Alonso, Mario Beretta, Rodolfo Ferrando, Miguel Kapitan, Fernando Mut, Omoa Djuraev, Gulnora Rozikhodjaeva, Ha Le Ngoc, Son Hong Mai, and Xuan Canh Nguyen
Subjects: cardiac testing, cardiovascular disease, coronavirus, COVID-19, global health, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract: Background: The coronavirus disease-2019 (COVID-19) pandemic significantly affected management of cardiovascular disease around the world. The effect of the pandemic on volume of cardiovascular diagnostic procedures is not known. Objectives: This study sought to evaluate the effects of the early phase of the COVID-19 pandemic on cardiovascular diagnostic procedures and safety practices in Asia. Methods: The International Atomic Energy Agency conducted a worldwide survey to assess changes in cardiovascular procedure volume and safety practices caused by COVID-19. Testing volumes were reported for March 2020 and April 2020 and were compared to those from March 2019. Data from 180 centers across 33 Asian countries were grouped into 4 subregions for comparison. Results: Procedure volumes decreased by 47% from March 2019 to March 2020, showing recovery from March 2020 to April 2020 in Eastern Asia, particularly in China. The majority of centers cancelled outpatient activities and increased time per study. Practice changes included implementing physical distancing and restricting visitors. Although COVID testing was not commonly performed, it was conducted in one-third of facilities in Eastern Asia. The most severe reductions in procedure volumes were observed in lower-income countries, where volumes decreased 81% from March 2019 to April 2020. Conclusions: The COVID-19 pandemic in Asia caused significant reductions in cardiovascular diagnostic procedures, particularly in low-income countries. Further studies on effects of COVID-19 on cardiovascular outcomes and changes in care delivery are warranted.
Published: 2021
Full Text: View/download PDF

3. Refinando o Risco Cardiovascular: Olhando Abaixo da Superfície do Cálcio

Author: Nick S. Nurmohamed, Catherine Cantlay, Alfateh Sidahmed, and Andrew D. Choi
Subjects: Angiografia por Tomografia Computadorizada, Gordura Epicárdica, Cálcio da Artéria Coronária, Placa, Aterosclerose, Diseases of the circulatory (Cardiovascular) system, RC666-701
Published: 2022
Full Text: View/download PDF

4. JACC: Case Reports

Author: Purvi Parwani, MBBS, MPH, Nadeen N. Faza, MD, Marat Fudim, MD, MHS, Estefania Oliveros, MD, MSc, Yevgeniy Brailovsky, DO, MSc, Andrew D. Choi, MD, and Julia Grapsa, MD, PhD
Subjects: altmetric score, Cardiotwitter, case reports, social media, Twitter, Diseases of the circulatory (Cardiovascular) system, RC666-701
Published: 2020
Full Text: View/download PDF

5. Cardiac CT angiography in current practice: An American society for preventive cardiology clinical practice statement✰

Author: Matthew J. Budoff, Suvasini Lakshmanan, Peter P. Toth, Harvey S. Hecht, Leslee J. Shaw, David J. Maron, Erin D. Michos, Kim A. Williams, Khurram Nasir, Andrew D. Choi, Kavitha Chinnaiyan, James Min, and Michael Blaha
Subjects: Diseases of the circulatory (Cardiovascular) system, RC666-701, Public aspects of medicine, RA1-1270
Abstract: In this clinical practice statement, we represent a summary of the current evidence and clinical applications of cardiac computed tomography (CT) in evaluation of coronary artery disease (CAD), from an expert panel organized by the American Society for Preventive Cardiology (ASPC), and appraises the current use and indications of cardiac CT in clinical practice. Cardiac CT is emerging as a front line non-invasive diagnostic test for CAD, with evidence supporting the clinical utility of cardiac CT in diagnosis and prevention. CCTA offers several advantages beyond other testing modalities, due to its ability to identify and characterize coronary stenosis severity and pathophysiological changes in coronary atherosclerosis and stenosis, aiding in early diagnosis, prognosis and management of CAD. This document further explores the emerging applications of CCTA based on functional assessment using CT derived fractional flow reserve, peri‑coronary inflammation and artificial intelligence (AI) that can provide personalized risk assessment and guide targeted treatment. We sought to provide an expert consensus based on the latest evidence and best available clinical practice guidelines regarding the role of CCTA as an essential tool in cardiovascular prevention – applicable to risk assessment and early diagnosis and management, noting potential areas for future investigation.
Published: 2022
Full Text: View/download PDF

6. Artificial Intelligence Advancements in the Cardiovascular Imaging of Coronary Atherosclerosis

Author: Pedro Covas, Eison De Guzman, Ian Barrows, Andrew J. Bradley, Brian G. Choi, Joseph M. Krepp, Jannet F. Lewis, Richard Katz, Cynthia M. Tracy, Robert K. Zeman, James P. Earls, and Andrew D. Choi
Subjects: artificial intelligence, machine learning, coronary artery disease, cardiovascular imaging, atherosclerosis, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract: Coronary artery disease is a leading cause of death worldwide. There has been a myriad of advancements in the field of cardiovascular imaging to aid in diagnosis, treatment, and prevention of coronary artery disease. The application of artificial intelligence in medicine, particularly in cardiovascular medicine has erupted in the past decade. This article serves to highlight the highest yield articles within cardiovascular imaging with an emphasis on coronary CT angiography methods for % stenosis evaluation and atherosclerosis quantification for the general cardiologist. The paper finally discusses the evolving paradigm of implementation of artificial intelligence in real world practice.
Published: 2022
Full Text: View/download PDF

7. Relationship of age, atherosclerosis and angiographic stenosis using artificial intelligence

Author: 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, and Tami R Crabtree
Subjects: Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract: 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-hoc analysis of data from 303 subjects enrolled in the CREDENCE (Computed TomogRaphic Evaluation of Atherosclerotic Determinants of Myocardial IsChEmia) trial who were referred for invasive coronary angiography and subsequently underwent coronary computed tomographic angiography (CCTA). In this study, a blinded core laboratory analysing quantitative coronary angiography images classified lesions as obstructive (≥50%) or non-obstructive (65 had more PV and CP than patients 65 had more CP than younger patients in both obstructive (29.2 mm3 vs 48.2 mm3; p
Published: 2021
Full Text: View/download PDF

8. Social Media

Author: Purvi Parwani, MBBS, Andrew D. Choi, MD, Pooja Swamy, MD, Mohammed Chamsi-Pasha, MD, Rafael Vidal-Perez, MD, PhD, and Mamas A. Mamas, BM, BCH, MA, DPhil
Subjects: cardiotwitter, case reports, social media, twitter, Diseases of the circulatory (Cardiovascular) system, RC666-701
Published: 2019
Full Text: View/download PDF

9. AI Evaluation of Stenosis on Coronary CTA, Comparison With Quantitative Coronary Angiography and Fractional Flow Reserve

Author: 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, and NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
Subjects: Radiology, Nuclear Medicine and imaging, Cardiology and Cardiovascular Medicine
Abstract: 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 tomography angiography (AI-QCT) analyses to core lab-interpreted coronary computed tomography angiography (CTA), core lab quantitative coronary angiography (QCA), and invasive fractional flow reserve (FFR). BACKGROUND: Clinical reads of coronary CTA, especially by less experienced readers, may result in overestimation of coronary artery disease stenosis severity compared with expert interpretation. AI-based solutions applied to coronary CTA may overcome these limitations. METHODS: Coronary CTA, FFR, and QCA data from 303 stable patients (64 ± 10 years of age, 71% male) from the CREDENCE (Computed TomogRaphic Evaluation of Atherosclerotic DEtermiNants of Myocardial IsChEmia) trial were retrospectively analyzed using an Food and Drug Administration-cleared cloud-based software that performs AI-enabled coronary segmentation, lumen and vessel wall determination, plaque quantification and characterization, and stenosis determination. RESULTS: Disease prevalence was high, with 32.0%, 35.0%, 21.0%, and 13.0% demonstrating ≥50% stenosis in 0, 1, 2, and 3 coronary vessel territories, respectively. Average AI-QCT analysis time was 10.3 ± 2.7 minutes. AI-QCT evaluation demonstrated per-patient sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of 94%, 68%, 81%, 90%, and 84%, respectively, for ≥50% stenosis, and of 94%, 82%, 69%, 97%, and 86%, respectively, for detection of ≥70% stenosis. There was high correlation between stenosis detected on AI-QCT evaluation vs QCA on a per-vessel and per-patient basis (intraclass correlation coefficient = 0.73 and 0.73, respectively; P < 0.001 for both). False positive AI-QCT findings were noted in in 62 of 848 (7.3%) vessels (stenosis of ≥70% by AI-QCT and QCA of
Published: 2023
Full Text: View/download PDF

10. Structural Heart Imaging Survey Highlights

Author: James C. Lee, Jeffrey B. Geske, Akhil Narang, Omar K. Khalique, Andrew D. Choi, Yee-Ping Sun, João L. Cavalcante, Duane S. Pinto, Sameer A. Gafoor, Dinesh H. Jagasia, Marcelo F. DiCarli, Todd C. Villines, Stephen H. Little, Rebecca T. Hahn, and Dee Dee Wang
Subjects: Radiology, Nuclear Medicine and imaging, Cardiology and Cardiovascular Medicine
Published: 2023
Full Text: View/download PDF

11. Cardiac computed tomographic imaging in cardio-oncology: An expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT). Endorsed by the International Cardio-Oncology Society (ICOS)

Author: Juan Lopez-Mattei, Eric H. Yang, Lauren A. Baldassarre, Ali Agha, Ron Blankstein, Andrew D. Choi, Marcus Y. Chen, Nandini Meyersohn, Ryan Daly, Ahmad Slim, Carlos Rochitte, Michael Blaha, Seamus Whelton, Omar Dzaye, Susan Dent, Sarah Milgrom, Bonnie Ky, Cezar Iliescu, Mamas A. Mamas, and Maros Ferencik
Subjects: Radiology, Nuclear Medicine and imaging, Cardiology and Cardiovascular Medicine
Published: 2023
Full Text: View/download PDF

12. Great debates in cardiac computed tomography: OPINION: 'Artificial intelligence is key to the future of CCTA – The great hope'

Author: Manish Motwani, Michelle C. Williams, Koen Nieman, and Andrew D. Choi
Subjects: Radiology, Nuclear Medicine and imaging, Cardiology and Cardiovascular Medicine
Published: 2023
Full Text: View/download PDF

13. CAD-RADS™ 2.0 - 2022 Coronary Artery Disease-Reporting and Data System

Author: Ricardo C. Cury, Jonathon Leipsic, Suhny Abbara, Stephan Achenbach, Daniel Berman, Marcio Bittencourt, Matthew Budoff, Kavitha Chinnaiyan, Andrew D. Choi, Brian Ghoshhajra, Jill Jacobs, Lynne Koweek, John Lesser, Christopher Maroules, Geoffrey D. Rubin, Frank J. Rybicki, Leslee J. Shaw, Michelle C. Williams, Eric Williamson, Charles S. White, Todd C. Villines, and Ron Blankstein
Subjects: Radiology, Nuclear Medicine and imaging, Cardiology and Cardiovascular Medicine
Published: 2022
Full Text: View/download PDF

14. Interobserver variability among expert readers quantifying plaque volume and plaque characteristics on coronary CT angiography: a CLARIFY trial sub-study

Author: Rebecca A. Jonas, Shaneke Weerakoon, Rebecca Fisher, William F. Griffin, Vishak Kumar, Habib Rahban, Hugo Marques, Ronald P. Karlsberg, Robert S. Jennings, Tami R. Crabtree, Andrew D. Choi, and James P. Earls
Subjects: Observer Variation, Artificial Intelligence, Computed Tomography Angiography, Coronary Stenosis, Humans, Radiology, Nuclear Medicine and imaging, Coronary Artery Disease, Coronary Angiography, Tomography, X-Ray Computed, Plaque, Atherosclerotic
Abstract: The difference between expert level (L3) reader and artificial intelligence (AI) performance for quantifying coronary plaque and plaque components is unknown.This study evaluates the interobserver variability among expert readers for quantifying the volume of coronary plaque and plaque components on coronary computed tomographic angiography (CCTA) using an artificial intelligence enabled quantitative CCTA analysis software as a reference (AI-QCT).This study uses CCTA imaging obtained from 232 patients enrolled in the CLARIFY (CT EvaLuation by ARtificial Intelligence For Atherosclerosis, Stenosis and Vascular MorphologY) study. Readers quantified overall plaque volume and the % breakdown of noncalcified plaque (NCP) and calcified plaque (CP) on a per vessel basis. Readers categorized high risk plaque (HRP) based on the presence of low-attenuation-noncalcified plaque (LA-NCP) and positive remodeling (PR; ≥1.10). All CCTAs were analyzed by an FDA-cleared software service that performs AI-driven plaque characterization and quantification (AI-QCT) for comparison to L3 readers. Reader generated analyses were compared among readers and to AI-QCT generated analyses.When evaluating plaque volume on a per vessel basis, expert readers achieved moderate to high interobserver consistency with an intra-class correlation coefficient of 0.78 for a single reader score and 0.91 for mean scores. There was a moderate trend between readers 1, 2, and 3 and AI with spearman coefficients of 0.70, 0.68 and 0.74, respectively. There was high discordance between readers and AI plaque component analyses. When quantifying %NCP v. %CP, readers 1, 2, and 3 achieved a weighted kappa coefficient of 0.23, 0.34 and 0.24, respectively, compared to AI with a spearman coefficient of 0.38, 0.51, and 0.60, respectively. The intra-class correlation coefficient among readers for plaque composition assessment was 0.68. With respect to HRP, readers 1, 2, and 3 achieved a weighted kappa coefficient of 0.22, 0.26, and 0.17, respectively, and a spearman coefficient of 0.36, 0.35, and 0.44, respectively.Expert readers performed moderately well quantifying total plaque volumes with high consistency. However, there was both significant interobserver variability and high discordance with AI-QCT when quantifying plaque composition.
Published: 2022
Full Text: View/download PDF

15. Quantitative plaque analysis with A.I.-augmented CCTA in end-stage renal disease and complex CAD

Author: Geoffrey W. Cho, Ahmed K. Ghanem, Carlos G. Quesada, Tami R. Crabtree, Robert S. Jennings, Matthew J. Budoff, Andrew D. Choi, James K. Min, Ronald P. Karlsberg, and James P. Earls
Subjects: Male, Computed Tomography Angiography, Predictive Value of Tests, Coronary Stenosis, Humans, Kidney Failure, Chronic, Female, Radiology, Nuclear Medicine and imaging, Constriction, Pathologic, Coronary Artery Disease, Coronary Angiography, Plaque, Atherosclerotic, Retrospective Studies
Abstract: Adverse cardiovascular events are a significant cause of mortality in end-stage renal disease (ESRD) patients. High-risk plaque anatomy may be a significant contributor. However, their atherosclerotic phenotypes have not been described. We sought to define atherosclerotic plaque characteristics (APC) in dialysis patients using artificial-intelligence augmented CCTA.We retrospectively analyzed ESRD patients referred for CCTA using an FDA approved artificial-intelligence augmented-CCTA program (Cleerly). Coronary lesions were evaluated for APCs by CCTA. APCs included percent atheroma volume(PAV), low-density non-calcified-plaque (LD-NCP), non-calcified-plaque (NCP), calcified-plaque (CP), length, and high-risk-plaque (HRP), defined by LD-NCP and positive arterial remodeling1.10 (PR).79 ESRD patients were enrolled, mean age 65.3 years, 32.9% female. Disease distribution was non-obstructive (65.8%), 1-vessel disease (21.5%), 2-vessel disease (7.6%), and 3-vessel disease (5.1%). Mean total plaque volume (TPV) was 810.0 mmOur study provides novel insight into ESRD plaque phenotypes and demonstrates that artificial-intelligence augmented CCTA analysis is feasible for CAD characterization despite severe calcification. We demonstrate elevated plaque burden and stenosis caused by predominantly non-calcified-plaque. Furthermore, the quantity of calcified-plaques increased with age, with men exhibiting increased number of 2-feature plaques and higher plaque volumes. Artificial-intelligence augmented CCTA analysis of APCs may be a promising metric for cardiac risk stratification and warrants further prospective investigation.
Published: 2022
Full Text: View/download PDF

16. Coronary CTA With AI-QCT Interpretation

Author: 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, Cardiology, ACS - Atherosclerosis & ischemic syndromes, and ACS - Heart failure & arrhythmias
Subjects: Male, Computed Tomography Angiography, CCTA, artificial intelligence, atherosclerosis, coronary CT, coronary CTA, coronary artery disease, fractional flow reserve, quantitative coronary angiography, Myocardial Ischemia, Settore MED/11 - Malattie dell'Apparato Cardiovascolare, Constriction, Pathologic, Coronary Angiography, Predictive Value of Tests, Humans, Radiology, Nuclear Medicine and imaging, Prospective Studies, Aged, Retrospective Studies, Coronary Stenosis, Myocardial Perfusion Imaging, General Medicine, Middle Aged, Reference Standards, Fractional Flow Reserve, Myocardial, Female
Abstract: 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 imaging (MPI) and coronary CTA with artificial intelligence quantitative CT (AI-QCT) interpretation for detection of obstructive CAD on invasive angiography and to assess the downstream impact of including coronary CTA with AI-QCT in diagnostic algorithms. METHODS. This study entailed a retrospective post hoc analysis of the derivation cohort of the prospective 23-center Computed Tomographic Evaluation of Atherosclerotic Determinants of Myocardial Ischemia (CREDENCE) trial. The study included 301 patients (88 women and 213 men; mean age, 64.4 ± 10.2 [SD] years) recruited from May 2014 to May 2017 with stable symptoms of myocardial ischemia referred for nonemergent invasive angiography. Patients underwent coronary CTA and MPI before angiography with quantitative coronary angiography (QCA) measurements and fractional flow reserve (FFR). CTA examinations were analyzed using an FDA-cleared cloud-based software platform that performs AI-QCT for stenosis determination. Diagnostic performance was evaluated. Diagnostic algorithms were compared. RESULTS. Among 102 patients with no ischemia on MPI, AI-QCT identified obstructive (≥ 50%) stenosis in 54% of patients, including severe (≥ 70%) stenosis in 20%. Among 199 patients with ischemia on MPI, AI-QCT identified nonobstructive (1-49%) stenosis in 23%. AI-QCT had significantly higher AUC (all p < .001) than MPI for predicting ≥ 50% stenosis by QCA (0.88 vs 0.66), ≥ 70% stenosis by QCA (0.92 vs 0.81), and FFR < 0.80 (0.90 vs 0.71). An AI-QCT result of ≥ 50% stenosis and ischemia on stress MPI had sensitivity of 95% versus 74% and specificity of 63% versus 43% for detecting ≥ 50% stenosis by QCA measurement. Compared with performing MPI in all patients and those showing ischemia undergoing invasive angiography, a scenario of performing coronary CTA with AIQCT in all patients and those showing ≥ 70% stenosis undergoing invasive angiography would reduce invasive angiography utilization by 39%; a scenario of performing MPI in all patients and those showing ischemia undergoing coronary CTA with AI-QCT and those with ≥ 70% stenosis on AI-QCT undergoing invasive angiography would reduce invasive angiography utilization by 49%. CONCLUSION. Coronary CTA with AI-QCT had higher diagnostic performance than MPI for detecting obstructive CAD. CLINICAL IMPACT. A diagnostic algorithm incorporating AI-QCT could substantially reduce unnecessary downstream invasive testing and costs. TRIAL REGISTRATION. Clinicaltrials.gov NCT02173275.
Published: 2022
Full Text: View/download PDF

17. Atherosclerosis Imaging Quantitative Computed Tomography (AI-QCT) to guide referral to invasive coronary angiography in the randomized controlled CONSERVE trial

Author: Yumin Kim, Andrew D. Choi, Anha Telluri, Isabella Lipkin, Andrew J. Bradley, Alfateh Sidahmed, Rebecca Jonas, Daniele Andreini, Ravi Bathina, Andrea Baggiano, Rodrigo Cerci, Eui‐Young Choi, Jung‐Hyun Choi, So‐Yeon Choi, Namsik Chung, Jason Cole, Joon‐Hyung Doh, Sang‐Jin Ha, Ae‐Young Her, Cezary Kepka, Jang‐Young Kim, Jin Won Kim, Sang‐Wook Kim, Woong Kim, Gianluca Pontone, Todd C. Villines, Iksung Cho, Ibrahim Danad, Ran Heo, Sang‐Eun Lee, Ji Hyun Lee, Hyung‐Bok Park, Ji‐min Sung, Tami Crabtree, James P. Earls, James K. Min, Hyuk‐Jae Chang, and Cardiology
Subjects: General Medicine, Cardiology and Cardiovascular Medicine
Abstract: Aims: We compared diagnostic performance, costs, and association with major adverse cardiovascular events (MACE) of clinical coronary computed tomography angiography (CCTA) interpretation versus semiautomated approach that use artificial intelligence and machine learning for atherosclerosis imaging-quantitative computed tomography (AI-QCT) for patients being referred for nonemergent invasive coronary angiography (ICA). Methods: CCTA data from individuals enrolled into the randomized controlled Computed Tomographic Angiography for Selective Cardiac Catheterization trial for an American College of Cardiology (ACC)/American Heart Association (AHA) guideline indication for ICA were analyzed. Site interpretation of CCTAs were compared to those analyzed by a cloud-based software (Cleerly, Inc.) that performs AI-QCT for stenosis determination, coronary vascular measurements and quantification and characterization of atherosclerotic plaque. CCTA interpretation and AI-QCT guided findings were related to MACE at 1-year follow-up. Results: Seven hundred forty-seven stable patients (60 ± 12.2 years, 49% women) were included. Using AI-QCT, 9% of patients had no CAD compared with 34% for clinical CCTA interpretation. Application of AI-QCT to identify obstructive coronary stenosis at the ≥50% and ≥70% threshold would have reduced ICA by 87% and 95%, respectively. Clinical outcomes for patients without AI-QCT-identified obstructive stenosis was excellent; for 78% of patients with maximum stenosis < 50%, no cardiovascular death or acute myocardial infarction occurred. When applying an AI-QCT referral management approach to avoid ICA in patients with
Published: 2023
Full Text: View/download PDF

18. CT-FFR

Author: Andrew D. Choi
Subjects: Radiology, Nuclear Medicine and imaging, Cardiology and Cardiovascular Medicine
Published: 2023
Full Text: View/download PDF

19. Emerging Roles for Artificial Intelligence in Heart Failure Imaging

Author: Andrew J. Bradley, Malik Ghawanmeh, Ashley M. Govi, Pedro Covas, Gurusher Panjrath, and Andrew D. Choi
Subjects: General Medicine, Cardiology and Cardiovascular Medicine
Published: 2023
Full Text: View/download PDF

20. Contemporary cardiovascular computed tomography (CCT) training: Serial surveys of the international CCT community by the Fellow and Resident Leaders of the Society of Cardiovascular Computed Tomography (SCCT) Committee (FiRST) and SCCT Future Leaders Program (FLP)

Author: Nidhi Madan, David J. Hur, Michael P. Gannon, Sumit Gupta, Jonathan R. Weir-McCall, Claire Johns, Arnav Kumar, Prashant Nagpal, Emilio Fentanes, James Lee, Andrew D. Choi, Maros Ferencik, Christopher D. Maroules, Todd C. Villines, and Edward D. Nicol
Subjects: Radiology, Nuclear Medicine and imaging, Cardiology and Cardiovascular Medicine
Published: 2023
Full Text: View/download PDF

21. Diabetes, Atherosclerosis, and Stenosis by AI

Author: 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, Cardiology, ACS - Atherosclerosis & ischemic syndromes, and ACS - Heart failure & arrhythmias
Subjects: Advanced and Specialized Nursing, Endocrinology, Diabetes and Metabolism, Internal Medicine
Abstract: 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 unknown. RESEARCH DESIGN AND METHODS We retrospectively evaluated 303 subjects from the Computed TomogRaphic Evaluation of Atherosclerotic Determinants of Myocardial IsChEmia (CREDENCE) trial referred for invasive coronary angiography with coronary computed tomographic angiography (CCTA) and classified lesions as obstructive (≥50% stenosed) or nonobstructive using blinded core laboratory analysis of quantitative coronary angiography. CCTA quantified APCs, including plaque volume (PV), calcified plaque (CP), noncalcified plaque (NCP), low-density NCP (LD-NCP), lesion length, positive remodeling (PR), high-risk plaque (HRP), and percentage of atheroma volume (PAV; PV normalized for vessel volume). The relationship between APCs, stenosis severity, and diabetes status was assessed. RESULTS Among the 303 patients, 95 (31.4%) had diabetes. There were 117 lesions in the cohort with diabetes, 58.1% of which were obstructive. Patients with diabetes had greater plaque burden (P = 0.004). Patients with diabetes and nonobstructive disease had greater PV (P = 0.02), PAV (P = 0.02), NCP (P = 0.03), PAV NCP (P = 0.02), diseased vessels (P = 0.03), and maximum stenosis (P = 0.02) than patients without diabetes with nonobstructive disease. APCs were similar between patients with diabetes with nonobstructive disease and patients without diabetes with obstructive disease. Diabetes status did not affect HRP or PR. Patients with diabetes had similar APCs in obstructive and nonobstructive lesions. CONCLUSIONS Patients with diabetes and nonobstructive stenosis had an association to similar APCs as patients without diabetes who had obstructive stenosis. Among patients with nonobstructive disease, patients with diabetes had more total PV and NCP.
Published: 2023
Full Text: View/download PDF

22. Highlights of the 16th annual scientific meeting of the society of cardiovascular computed tomography

Author: Michelle C. Williams, Koen Nieman, Maros Ferencik, Kelley R. Branch, Brian B. Ghoshhajra, Edward D. Nicol, Andrew D. Choi, and Eric E. Williamson
Subjects: medicine.medical_specialty, Heart disease, Coronavirus disease 2019 (COVID-19), medicine.diagnostic_test, business.industry, valvular heart disease, Computed tomography, medicine.disease, Coronary artery disease, Clinical Practice, Analytics, On demand, Medicine, Radiology, Nuclear Medicine and imaging, Medical physics, Cardiology and Cardiovascular Medicine, business
Abstract: The 16th Society of Cardiovascular Computed Tomography (SCCT) annual scientific meeting welcomed 781 digital attendees from 55 countries. The program included 27 sessions across three simultaneously streaming channels, 11 exhibitors, 153 poster presentations, and 32 hours of on demand videos. The main themes of the meeting included coronary artery disease, valvular heart disease, structural heart disease, and advanced analytics including machine learning. This article summaries the main themes of the meeting and some of the key presentations, which will shape the future of cardiovascular computed tomography in clinical practice.
Published: 2021
Full Text: View/download PDF

23. Diabetes, Atherosclerosis and Stenosis by AI

Author: 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, and Rebecca A. Jonas
Abstract: 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 status is unknown. Methods: We retrospectively evaluated 303 subjects from the CREDENCE trial referred for invasive coronary angiography with coronary computed tomographic angiography (CCTA) and classified lesions as obstructive (>50% stenosed) or non-obstructive using blinded core laboratory analysis of quantitative coronary angiography. CCTA quantified APCs including plaque volume (PV), calcified plaque (CP), noncalcified plaque (NCP), low density noncalcified plaque (LD-NCP), lesion length, positive remodeling (PR), high-risk plaque (HRP) and percent atheroma volume (PAV; plaque volume normalized for vessel volume). The relationship between APCs, stenosis severity and diabetic status was assessed. Results: Among the 303 patients, 95 (31.4%) had diabetes. There were 117 lesions in the diabetic cohort, 58.1% of which were obstructive. Patients with diabetes had greater plaque burden (p=0.004). Patients with diabetes and nonobstructive disease had greater PV (p=0.02), PAV (p=0.02), NCP (p=0.03), PAV NCP (p=0.02), diseased vessels (p=0.03), and max stenosis (p=0.02) than nondiabetic patients with nonobstructive disease. APCs were similar between diabetics with non-obstructive disease and non-diabetic patients with obstructive disease. Diabetic status did not affect HRP or PR. Patients with diabetes had similar APCs in obstructive and non-obstructive lesions. Conclusions: Patients with diabetes and non-obstructive stenosis had an association to similar APCs as patients without diabetes who have obstructive stenosis. Among patients with non-obstructive disease, patients with diabetes had more total PV and NCP.
Published: 2022
Full Text: View/download PDF

24. International practice patterns of coronary artery calcium scanning prior to coronary CT angiography

Author: J. Ford Franklin, Andrew S. Brown, Andrew D. Choi, David J. Hur, and Todd C. Villines
Subjects: Radiology, Nuclear Medicine and imaging, Cardiology and Cardiovascular Medicine
Published: 2022

25. CAD-RADS™ 2.0 – 2022 Coronary Artery Disease – Reporting and Data System An Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Cardiology (ACC), the American College of Radiology (ACR) and the North America Society of Cardiovascular Imaging (NASCI)

Author: Ricardo C. Cury, Jonathon Leipsic, Suhny Abbara, Stephan Achenbach, Daniel Berman, Marcio Bittencourt, Matthew Budoff, Kavitha Chinnaiyan, Andrew D. Choi, Brian Ghoshhajra, Jill Jacobs, Lynne Koweek, John Lesser, Christopher Maroules, Geoffrey D. Rubin, Frank J. Rybicki, Leslee J. Shaw, Michelle C. Williams, Eric Williamson, Charles S. White, Todd C. Villines, and Ron Blankstein
Subjects: Radiology, Nuclear Medicine and imaging
Published: 2022
Full Text: View/download PDF

26. Social Media as a Tool to Advance Women in Cardiology: Paving the Way for Gender Equality and Diversity

Author: Purvi Parwani, Andrew D. Choi, Nooshin Beygui, Srihari S. Naidu, Erin D. Michos, Julia Grapsa, Disha Bahl, Poonam Velagapudi, and Christina Mansour
Subjects: medicine.medical_specialty, Gender equality, media_common.quotation_subject, Field (Bourdieu), Review, Representation (politics), RC666-701, Internal medicine, Cardiology, medicine, Diseases of the circulatory (Cardiovascular) system, Social media, Sociology, Salary, Cardiology and Cardiovascular Medicine, Dissemination, Virtual community, Diversity (politics), media_common
Abstract: Although the number of women in the field of medicine continues to rise, the discrimination against women and the gender inequity in both leadership roles and salary remains persistent. The gender divide is particularly prominent in male-dominated specialties, such as cardiology. Social media help foster global connections and disseminate information quickly and worldwide. The rise of social media has influenced how female physicians communicate and has shown its benefits particularly within the field of cardiology. Virtual platforms are important avenues where female physicians have united for greater representation of gender issues and advocacy efforts. Social media further amplify gender-equality activism by facilitating the conversations surrounding gender equity and proposing solutions to self-identified issues by the virtual community of female physicians and their allies. In this review, we discuss the role of social media as tools for advancing women in the field of cardiology and fostering gender equality and diversity., Graphical abstract
Published: 2021

27. Becoming an Expert Practitioner

Author: Ron Blankstein and Andrew D. Choi
Subjects: medicine.medical_specialty, Cardiac computed tomography, business.industry, Medicine, Radiology, Nuclear Medicine and imaging, Medical physics, Cardiology and Cardiovascular Medicine, business
Published: 2021
Full Text: View/download PDF

28. Direct Comparison of Outcomes After Transcatheter Aortic Valve Replacement in Veterans and Non-Veterans Using the Transcatheter Valve Therapy Registry

Author: Michael A, Napolitano, Timothy J, Holleran, Andrew D, Sparks, Jason R, Morrissette, Jennifer A, DoCampo, Federico E, Mordini, Michael D, Greenberg, Ramesh, Mazhari, Jonathan S, Reiner, Andrew D, Choi, Joseph, Krepp, Farzad, Najam, Elizabeth S, Pocock, Jared L, Antevil, Gregory D, Trachiotis, and Christian D, Nagy
Subjects: Transcatheter Aortic Valve Replacement, Treatment Outcome, Risk Factors, Aortic Valve, Humans, Aortic Valve Stenosis, Registries, United States
Abstract: This study aims to compare veterans and non-veterans undergoing transcatheter aortic valve replacement (TAVR) using data from the Society for Thoracic Surgeons/American College of Cardiology Transcatheter Valve Therapy (STS/ACC TVT) registry.Patients undergoing TAVR at George Washington University (GWU) and veterans treated at Washington DC Veterans Affairs Medical Center (VAMC) who underwent TAVR at GWU from 2014-2020 were included. All patients were reported in the TVT registry. Emergency and valve-in-valve TAVR were excluded. Cohorts were divided based on veteran status. Operators were the same for both groups. Outcomes were compared at 30 days and 1 year. The primary outcome was mortality and secondary outcomes were morbidity metrics.A total of 299 patients (91 veterans, 208 non-veterans) were included. Veterans had higher rates of hypertension (87.9% vs 77.9%; P=.04), diabetes (46.7% vs 28.9%; P.01), and lung disease (2.4% vs 11.0%; P.001). Outcomes were not significantly different between veterans and non-veterans, including 30-day mortality (0% vs 2.9%, respectively; P=.18), 1-year mortality (9.8% vs 10.7%, respectively; P=.61), stroke incidence (0% vs 2.5%, respectively; P=.73), median intensive care unit stay (24 hours in both groups), and overall hospital stay (2 days in both groups).The affiliation between a VAMC and an academic medical center allowed for direct comparison between veterans and non-veterans undergoing TAVR by the same operators using the TVT registry. Despite significantly higher rates of comorbidities, veterans had equivalent outcomes compared with non-veterans. This may be in part due to the comprehensive care that veterans receive in the VAMC and this institution's integrated heart center team.
Published: 2022

29. Social Media as a Means to Disseminate and Advocate Cardiovascular Research: Why, How, and Best Practices

Author: Giuliana Lee, Erin D. Michos, and Andrew D. Choi
Subjects: 0301 basic medicine, Biomedical Research, business.industry, Communication, Best practice, Cardiology, General Medicine, Public relations, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, Work (electrical), Cardiovascular Diseases, 030220 oncology & carcinogenesis, Scale (social sciences), Humans, Portfolio, Medicine, Social media, Altmetrics, Cardiology and Cardiovascular Medicine, business, Citation, Social Media, Dissemination
Abstract: The use of Twitter or other social media platforms for research can transcend current limitations in the dissemination of research and present new opportunities for research networking by connecting researchers, clinicians, policymakers, the public, and other stakeholders on a global scale. As social media influence continues to expand, it becomes increasingly important for cardiovascular researchers to employ social media strategies to increase the impact of their research work, for the ultimate goal of improved outcomes for patients living with or at risk for cardiovascular diseases. Altmetrics are novel metrics that track the attention that scholarly outputs are receiving in non-traditional sources such as in the news, blogs, and social media posts. These alternative metrics record research dissemination beyond traditional journal citation indices, while also predicting and even promoting future citations. This review outlines various methods of how social media can be used to disseminate research, guidance on how to develop a social media portfolio for consideration of academic promotion, and some best practices for promoting one’s research work.
Published: 2021
Full Text: View/download PDF

30. Practical Clinical Application of Cardiac Computed Tomography–Derived Fractional Flow Reserve

Author: Talal Alzahrani, Ahmed Tashkandi, Abdullah Sarkar, Claudio Smuclovisky, James P. Earls, and Andrew D. Choi
Subjects: Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract: In the past decade, advances in coronary computed tomography angiography (CTA) technology have resulted in high sensitivity and negative predictive value in detecting coronary artery disease (CAD) compared with invasive coronary angiography, particularly for patients with mild or severe stenosis. However, anatomical evaluation of CAD by CTA has modest specificity for patients with intermediate-grade stenoses. The recent development of the use of cardiac computed tomography–derived fractional flow reserve (FFR-CT) seeks to address this gap as a proposed method of functional assessment of CAD by CTA. In this article we aim to mix common clinical cases with the current technical methods, validation, outcomes, and registry studies as well as the technical, financial and research limitations of FFR-CT analysis to guide the cardiac imaging specialist in evaluating this technique. FFR-CT analysis may help reduce additive functional testing for the smaller proportion of patients with intermediate stenosis undergoing coronary CTA where the atherosclerosis significance is uncertain.
Published: 2019
Full Text: View/download PDF

31. The Journal of Cardiovascular Computed Tomography: 2020 Year in review

Author: Jonathon Leipsic, Michael T. Lu, James P. Earls, Seamus P. Whelton, Maros Ferencik, Damini Dey, Heidi Gransar, Todd C. Villines, Jonathan R. Weir-McCall, Marcus Y. Chen, Carlo N. De Cecco, Gudrun Feuchtner, Andrew D. Choi, Pál Maurovich-Horvat, Armin Arbab-Zadeh, Daniele Andreini, Harvey S. Hecht, Mohamed Marwan, Edward D. Nicol, Gianluca Pontone, Subhi J. Al'Aref, Michelle C. Williams, Weir-McCall, Jonathan [0000-0001-5842-842X], and Apollo - University of Cambridge Repository
Subjects: medicine.medical_specialty, Cardiac computed tomography, Biomedical Research, Heart Diseases, Heart disease, Coronavirus disease 2019 (COVID-19), Computed Tomography Angiography, Computed tomography, Coronary Artery Disease, 030204 cardiovascular system & hematology, Coronary Angiography, Coronary artery calcium, 030218 nuclear medicine & medical imaging, Coronary artery disease, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Pandemic, Cardiac CT, Humans, Medicine, Radiology, Nuclear Medicine and imaging, Social media, Coronary CT angiography, Structural heart disease, Journal of cardiovascular computed tomography, Computed tomography angiography, medicine.diagnostic_test, SARS-CoV-2, business.industry, Year in review, COVID-19, Prognosis, medicine.disease, Family medicine, Host-Pathogen Interactions, Periodicals as Topic, Cardiology and Cardiovascular Medicine, business
Abstract: The purpose of this review is to highlight the most impactful, educational, and frequently downloaded articles published in the Journal of Cardiovascular Computed Tomography (JCCT) for the year 2020. The JCCT reached new records in 2020 for the number of research submissions, published manuscripts, article downloads and social media impressions. The articles in this review were selected by the Editorial Board of the JCCT and are comprised predominately of original research publications in the following categories: Coronavirus disease 2019 (COVID-19), coronary artery disease, coronary physiology, structural heart disease, and technical advances. The Editorial Board would like to thank each of the authors, peer-reviewers and the readers of JCCT for making 2020 one of the most successful years in its history, despite the challenging circumstances of the global COVID-19 pandemic.
Published: 2021
Full Text: View/download PDF

32. 2020 SCCT Guideline for Training Cardiology and Radiology Trainees as Independent Practitioners (Level II) and Advanced Practitioners (Level III) in Cardiovascular Computed Tomography: A Statement from the Society of Cardiovascular Computed Tomography

Author: Ron Blankstein, Dustin M. Thomas, Irfan Zeb, Andrew D. Choi, Dee Dee Wang, Suhny Abbara, Christopher D. Maroules, James Lee, Prashant Nagpal, MBChB Michelle C. Williams, Jonathon Leipsic, Todd C. Villines, Michael L. Steigner, and Ricardo C. Cury
Subjects: medicine.medical_specialty, Consensus, Cardiac computed tomography, genetic structures, education, Cardiology, Computed tomography, Radiology, Interventional, 030204 cardiovascular system & hematology, Radiography, Interventional, Article, 030218 nuclear medicine & medical imaging, Coronary artery disease, 03 medical and health sciences, Cardiologists, 0302 clinical medicine, Imaging Tool, Internal medicine, Radiologists, Humans, Training, Medicine, Radiology, Nuclear Medicine and imaging, Curriculum, Special Report, Statement (computer science), medicine.diagnostic_test, business.industry, Guideline, medicine.disease, Education, Medical, Graduate, Clinical Competence, Level ii, Radiology, Level iii, Tomography, X-Ray Computed, business, Cardiology and Cardiovascular Medicine, Specialization
Abstract: Cardiovascular computed tomography (CCT) is a well-validated noninvasive imaging tool with an ever-expanding array of applications beyond the assessment of coronary artery disease. These include the evaluation of structural heart diseases, congenital heart diseases, peri-procedural electrophysiology applications, and the functional evaluation of ischemia. This breadth requires a robust and diverse training curriculum to ensure graduates of CCT training programs meet minimum competency standards for independent CCT interpretation. This statement from the Society of Cardiovascular Computed Tomography aims to supplement existing societal training guidelines by providing a curriculum and competency framework to inform the development of a comprehensive, integrated training experience for cardiology and radiology trainees in CCT. This article is being published synchronously in Radiology: Cardiothoracic Imaging, Journal of Cardiovascular Computed Tomography, and JACC: Cardiovascular Imaging. © 2020 Society of Cardiovascular Computed Tomography. Published by RSNA with permission.
Published: 2021
Full Text: View/download PDF

33. The Journal of cardiovascular computed tomography: A year in review 2021

Author: Márton Kolossváry, Anna B. Reid, Andrea Baggiano, Prashant Nagpal, Arzu Canan, Subhi J. Al’Aref, Daniele Andreini, João L. Cavalcante, Carlo N. de Cecco, Anjali Chelliah, Marcus Y. Chen, Andrew D. Choi, Damini Dey, Timothy Fairbairn, Maros Ferencik, Heidi Gransar, Harvey Hecht, Jonathan Leipsic, Michael T. Lu, Mohamed Marwan, Pál Maurovich-Horvat, Ming-Yen Ng, Edward D. Nicol, Gianluca Pontone, Rozemarijn Vliegenthart, Seamus P. Whelton, Michelle C. Williams, Armin Arbab-Zadeh, Kanwal M. Farooqi, Jonathan Weir-McCall, Gudrun Feuchtner, Todd C. Villines, Cardiovascular Centre (CVC), and Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE)
Subjects: Cardiac computed tomography, Journal of Cardiovascular Computed Tomography, Settore MED/11 - Malattie dell'Apparato Cardiovascolare, Cardiac computed tomography angiography, Coronary atherosclerosis, Structural heart disease, Prognosis, Cardiovascular Diseases, Predictive Value of Tests, Humans, Radiology, Nuclear Medicine and imaging, Journal Impact Factor, Tomography, X-Ray Computed, Cardiology and Cardiovascular Medicine
Abstract: This review aims to summarize original articles published in the Journal of Cardiovascular Computed Tomography (JCCT) for the year 2021, focusing on those that had the most scientific and educational impact. The JCCT continues to expand; the number of submissions, published manuscripts, cited articles, article downloads, social media presence, and impact factor continues to increase. The articles selected by the Editorial Board of the JCCT in this review focus on coronary artery disease, coronary physiology, structural heart disease, and technical advances in cardiovascular CT. In addition, we highlight key consensus documents and guidelines published in the Journal in 2021. The Journal recognizes the tremendous work done by each author and reviewer this year - thank you.
Published: 2022

34. Worldwide Disparities in Recovery of Cardiac Testing 1 Year Into COVID-19

Author: Andrew J. Einstein, Cole Hirschfeld, Michelle C. Williams, Joao V. Vitola, Nathan Better, Todd C. Villines, Rodrigo Cerci, Leslee J. Shaw, Andrew D. Choi, Sharmila Dorbala, Ganesan Karthikeyan, Bin Lu, Valentin Sinitsyn, Alexey A. Ansheles, Takashi Kudo, Chiara Bucciarelli-Ducci, Bjarne Linde Nørgaard, Pál Maurovich-Horvat, Roxana Campisi, Elisa Milan, Lizette Louw, Adel H. Allam, Mona Bhatia, Lorenzo Sewanan, Eli Malkovskiy, Yosef Cohen, Michael Randazzo, Jagat Narula, Olga Morozova, Thomas N.B. Pascual, Yaroslav Pynda, Maurizio Dondi, Diana Paez, Gerd Hinterleitner, Yao Lu, Zhuoran Xu, Cole B. Hirschfeld, Ikenna Erinne, Mrinali Shetty, Andrew Choi, Juan Lopez-Mattei, Purvi Parwani, Artan Goda, Ervina Shirka, Salah Bouyoucef, Lydia Chelghoum, Farouk Mansouri, Abdelkader Medjahedi, Qais Naili, Mokhtar Ridouh, Diego Alasia, Lucia Alberghina, Natalia Aramayo, Diego Buchara, Franco Gabriel Busso, Jose Javier Bustos Rivadero, Jorge Camilletti, Hugo Campanelli, Ricardo Belisario Castro, Mariana Daicz, Horacio del Riego, Laura Dragonetti, Diego Echazarreta, Juan Erriest, Fernando Faccio, Adolfo Facello, Hugo Gallegos, Ricardo Geronazzo, Horacio Glait, Victor Hasbani, Victor Jäger, Julio Manuel Lewkowicz, Jose Lotti, Neiva Maciel, Osvaldo Masoli, Edgardo Mastrovito, Maria Medus, Maria Fernanda Merani, Susana Molteni, Marcos Montecinos, Gustavo Parisi, Claudio Pereyra Sueldo, Diego Perez de Arenaza, Luis Quintana, Alejandro Radzinschi, Marcela Redruello, Marina Rodríguez, Horacio Rojas, Arturo Romero Acuña, Daniel Schere, Sonia Traverso, Gustavo Vazquez, Susana Zeffiro, Mari Sakanyan, Scott Beuzeville, Raef Boktor, Michael Crowley, D'Arne Downie, Girish Dwivedi, Barry Elison, Omar Farouque, Kim Jasper, Subodh Joshi, Joseph Lee, Kenneth Lee, Elaine Lui, Peter Mcconachie, Joanne Meaker, Dee Nandurkar, Johanne Neill, Edward O'Rourke, Patricia O'Sullivan, George Pandos, Manuja Premaratne, David Prior, Natalie Rutherford, Connor Saunders, Kim Taubman, Andrew Tauro, Andrew Taylor, James Theuerle, Paul Thomas, Jonathan Tow, Anthony Upton, Shankar Vamadevan, Victor Wayne, Eva Alina Wegner, David Wong, John Younger, Dietrich Beitzke, Gudrun Feuchtner, Oliver Sommer, Konrad Weiss, Natallia Maroz-Vadalazhskaya, Uladzimir Tserakhau, Filip Homans, Caroline M. Van De Heyning, Raúl Araujo, Valentina Soldat-Stankovic, Sinisa Stankovic, Augusto Almeida, Carlos Anselmi, Guilherme S.A. Azevedo, Marcio Sommer Bittencourt, Diego Bromfman Pianta, Estevan Cabeda, Lara Carreira, Igor Coelho, Fernando de Amorim Fernandes, Andrea de Lorenzo, Roberta Delgado, Fernanda Erthal, Fabio Fernandes, Juliano Fernandes, Thiago Ferreira de Souza, Murilo Foppa, Wilson Furlan Matos Alves, Cibele Gontijo, Ilan Gottlieb, Gabriel Grossman, Maria Helena Albernaz Siqueira, Cesar Higa Nomura, Katia Hiromoto Koga, Ronaldo Lima, Rafael Lopes, Hugo Humberto Marçal Filho, Paulo Masiero, Luiz Mastrocola, Maria Eduarda Menezes de Siqueira, Claudio Mesquita, Danilo Naves, Filipe Penna, Ibraim Pinto, Thércio Rocha, Juliana Leal Rocha, Alfredo Rodrigues, Leila Salioni, Adelina Sanches, Marcelo Santos, Leonardo Sara Da Silva, Paulo Schvartzman, Cristina Sebastião Matushita, Tiago Senra, Marcelo Silva, Carlos Eduardo Soares, Bernardo Spiro, Carlos Eduardo Suaide Silva, Rafael Torres, Guilherme Urpia Monte, Andrea Vilela, Alexandre Volney Villa, Joao Vitola, Themissa Voss, Roberto Waltrick, Marcello Zapparoli, Hamid Naseer, Marina Garcheva-Tsacheva, Tiémégna Florence Ouattara, Sarameth Thou, Soley Varoeun, Gad Abikhzer, Rob Beanlands, Michael Chetrit, Dominique Dabreo, Carole Dennie, Matthias Friedrich, Mohmmed Nassoh Hafez, Kate Hanneman, Robert Miller, Anastasia Oikonomou, Idan Roifman, Gary Small, Vikas Tandon, Adwait Trivedi, James White, Katherine Zukotynski, Rita Alay, Carmen Concha, Teresa Massardo, Pedro Abad, Kelly Anzola, Harold Arturo, Luis Benitez, Alberto Cadena, Carlos Caicedo Zamudio, Antonio Calderón, Claudia T. Gutierrez Villamil, Claudia Jaimes, Juan L. Londono, Nelson Lopez, Sonia Merlano-Gaitan, Ramon Murgieitio-Cabrera, Manuel Valencia, Damiana Vergel, Alejandro Zuluaga Santamaria, Felix Solis, Tonci Batinic, Maja Franceschi, Maja Hrabak Paar, Marina Prpic, Cuba: Juan Felipe Batista, Lazaro Omar Cabrera, Amalia Peix, Yamilé Peña, Luis Manuel Rochela Vázquez, Ioannis Ntalas, Milan Kaminek, Vladimir Kincl, Otto Lang, Jawdat Abdulla, Morten Bøttcher, Martin Busk, Uka Geisler, Lars C. Gormsen, Nicolaj Hansson, Søren Hess, Jens Hove, Lars Thorbjoern Jensen, Magnus T. Jensen, Kristian Hay Kragholm, Bjarne L. Nørgaard, Kristian Øvrehus, Jan Rasmussen, Niels Peter Rønnow Sand, Hanne Sondergaard, Tomas Zaremba, Herwin Speckter, Nelson Amores, Mayra Sanchez Velez, Taghreed Abd Alrahman, Sherif Abd Elsamad, Alia Abdelfattah, Adel Allam, Sameh Elkaffas, Mona Hassan, Elshaymaa Hussein, Ahmed Ibrahim, Ahmed Kandeel, Mohamed Mandour Ali, Mahmoud Shaaban, Camila Flores, Verónica Vanesa Gómez Leiva, Anita Liiver, Martti Larikka, Valtteri Uusitalo, Denis Agostini, Clothilde Berger, Matthieu Dietz, Fabien Hyafil, Mickaël Ohana, Kevin Prigent, Hamza Regaieg, Laure Sarda-Mantel, Darach O. H-Ici, Harold Ayetey, George Angelidis, Christina Fragkaki, Chrysoula Fragkiadaki, Panagiotis Georgoulias, Maria Koutelou, Elena Kyrozi, Niki Lama, Vassilis Prassopoulos, Michael Spartalis, Theodora Zaglavara, Carla Gonzalez, Goleat Gutierrez, Alejandro Maldonado, Yassine Martinez, Attila Kovács, Bálint Szilveszter, Nilesh Banthia, Vivek Bhat, Partha Choudhury, Vijay Sai Chowdekar, Johann Christopher, Tushar Garg, Naresh Kumar Goyal, Ripen Kumar Gupta, Abhishek Gupta, Julie Hephzibah, Shashank Jain, Jesu Krupa, Parveen Kumar, Sukriti Kumar, Arati Lalchandani, Animesh Mishra, Vivaswan Dutt Mishra, Parul Mohan, Ahmad Ozair, Shivani Pandey, Ramanathapuram Parameswaran, Chetan Patel, Tapan Patel, Shivani Patel, Leena Robinson Vimala, Dr Pradosh Kumar Sarangi, Shantanu Sengupta, Arvind Sethi, Amit Sharma, Awadhesh Kumar Sharma, Punit Sharma, Apurva Shrigiriwar, Santosh Singh, Harpreet Singh, Ashwani Sood, Atul Verma, Ajay Vyas, Erwin Affandi Soeriadi, Edison Bun, Febby Hutomo, Hilman Syawaluddin, Ryan Yudistiro, Amjed Albadr, Majid Assadi, Farshad Emami, Alireza Emami-Ardekani, Saeed Farzanehfar, Ramezan Jafari, Reyhaneh Manafi-Farid, Maryam Tajik, Yoav Arnson, Shmuel Fuchs, Ronen Goldkorn, John Kennedy, Marina Leitman, Aryeh Shalev, Wanda Acampa, Domenico Albano, Pierpaolo Alongi, Gaspare Arnone, Roberta Assante, Anna Baritussio, Matteo Bauckneht, Francesco Bianco, Rachele Bonfiglioli, Francesco Bovenzi, Isabella Bruno, Andrea Bruno, Elena Busnardo, Elena Califaretti, Roberta Casoni, Vittorio Censullo, Franca Chierichetti, Marcello Chiocchi, Corrado Cittanti, Alberto Clemente, Alberto Cuocolo, Maria Luisa De Rimini, Giuseppe De Vincentis, Veronica Della Tommasina, Santo Dellegrottaglie, Paola Anna Erba, Laura Evangelista, Lara Faggi, Evelina Faragasso, Luigia Florimonte, Viviana Frantellizzi, Marco Gatti, Angela Gaudiano, Fabrizia Gelardi, Alberto Gerali, Alessia Gimelli, Marco Guglielmo, Lucia Leccisotti, Riccardo Liga, Carlo Liguori, Giampiero Longo, Margherita Maffione, Claudio Marcassa, Giovanni Matassa, Donato Mele, Luca Mircoli, Andrea Paccagnella, Sara Pacella, Federica Padovano, Dario Pellegrini, Valeria Pergola, Luca Pugliese, Natale Quartuccio, Lucia Rampin, Fabrizio Ricci, Giuseppe Rubini, Vincenzo Russo, Gianmario Sambuceti, Alessandra Scatteia, Roberto Sciagrà, Gianluca Spidalieri, Antonella Stefanelli, Carlo Tedeschi, Guido Ventroni, Dainia Baugh, Ernest Madu, Tadao Aikawa, Hiroshi Asano, Shinichiro Fujimoto, Koichiro Fujise, Yoshimitsu Fukushima, Kae Fukuyama, Yasutaka Ichikawa, Reiko Ideguchi, Nobuo Iguchi, Masamichi Imai, Hayato Ishimura, Satoshi Isobe, Kimiteru Ito, Yu Izawa, Toshiaki Kadokami, Tokuo Kasai, Takao Kato, Takashi Kawamoto, Shigeru Kiryu, Shinichiro Kumita, Osamu Manabe, Hirotaka Maruno, Naoya Matsumoto, Masao Miyagawa, Masao Moroi, Shigeki Nagamachi, Kenichi Nakajima, Ryo Nakazato, Mamoru Nanasato, Masanao Naya, Takashi Norikane, Yasutoshi Ohta, Yoichi Otomi, Hideki Otsuka, Noriko Oyama-Manabe, Masaki Saito, Masayoshi Sarai, Junichi Sato, Daisuke Sato, Shinya Shiraishi, Kentaro Takanami, Kazuya Takehana, Yasuyo Taniguchi, Hiroki Teragawa, Nobuo Tomizawa, Kyoko Umeji, Yasushi Wakabayashi, Shinichiro Yamada, Shinya Yamazaki, Tatsuya Yoneyama, Mohammad Rawashdeh, Tairkhan Dautov, Khalid Makhdomi, Mostafa Abass, Masoud Garashi, Qaisar Siraj, Marika Kalnina, Mohamad Haidar, Renata Komiagiene, Giedre Kviecinskiene, Donatas Vajauskas, Noor Khairiah A. Karim, Mady Doucoure, Luise Reichmuth, Anthony Samuel, Mohamed Lemine Dieng, Ambedhkar Shantaram Naojee, Estrella Aguilera Hernandez, Cesar Rene Alducin Tellez, Erick Alexánderson-Rosas, Erika Barragan, Manuel Cabada, Daniel Calderón, Isabel Carvajal-Juarez, José Esparza, Manlio Gerardo Gama-Moreno, Virginia Garcia Quinto, Nelsy Coromoto Gonzalez, Mary Carmen Herrera-Zarza, Aloha Meave, Jesus Gregorio Medina Verdugo, Gabriela Melendez, Rafael Humberto Morales Murguia, Carlos Salvador Navarro Quiroz, Mario Ornelas, Andres Preciado-Anaya, Oscar Ulises Preciado-Gutiérrez, Adriana Puente, Aristóteles Ramírez Salazar, Sandra Graciela Rosales Uvera, Sandra Rosales-Uvera, Jose Antonio Serna Macias, Lilia Sierra-Galan, Lilia M. Sierra-Galan, Juan Carlos Tirado Alderete, Enrique Vallejo, Marc Faraggi, Erdenechimeg Sereegotov, Nouzha Ben Rais, Nadia Ismaili Alaoui, Thiri Kyiphyu, Su Thet Oo, Soe Myat Win, Htin Zar, Ram Ghimire, Madhu Neupane, Andor Glaudemans, Riemer Slart, Derk Verschure, Berry Allen, John Edmond, Clare Mckenzie, Stuart Tie, Niels Van Pelt, Kirsten Worthington, Calum Young, Idrissa Adamou Soli, Shehu Kana, Uchenna Onubogu, Mahmoud Sani, Anders Tjellaug Bråten, Arve Jørgensen, Hanne-Elin Vassbotn, Humoud Al Dhuhli, Zabah Jawa, Naima Tag, Shazia Fatima, Muhammad Babar Imran, Muhammad Numair Younis, Mohammad Saadullah, Yariela Herrera Malo, Dora Lenturut-Katal, Manuel Castillo, José Ortellado, Afroza Akhter, F. Aaysha Cader, Raihan Hussain, Saidur Rahman Khan, Tapati Mandal, Faria Nasreen, Yunqiang An, Dianbo Cao, Lianggeng Gong, Yang Hou, Chongfu Jia, Tao Li, Caiying Li, Hui Liu, Wenya Liu, Jinkang Liu, Ming-Yen Ng, Heshui Shi, Chunxiang Tang, Ximing Wang, Zhaoqian Wang, Yining Wang, Jiang Wu, Yan Yi, Li Yuan, Tong Zhang, Longjiang Zhang, Edith Chavez, Carlos Cruz, Christian Llontop, Rosanna Morales, Paz Abrihan, Asela Bustos-Barroso, Michele Duldulao-Ogbac, Christopher Eduarte, Jerry Obaldo, Alvin Quinon, Belinda San Juan, Carlo Joe San Juan, Marie Rhiamar Sauler-Gomez, Mila Uy, Magdalena Kostkiewicz, Jolanta Kunikowska, Anna Teresinska, Tomasz Urbanik, Nuno Bettencourt, Ricardo Fontes-Carvalho, Cristina Gavina, Lino Gonçalves, Filipe Macedo, Nuno Moreno, Carla Sousa, Ana Teresa Timoteo, Maria João Vidigal, Mahmoud Al Heidous, Subramaniyan Ramanathan, Samer Arnous, Said Aytani, Angela Byrne, Tadhg Gleeson, David Kerins, Julie O'Brien, Ji-In Bang, Henry Bom, Miju Cheon, Gi Jeong Cheon, Sang-Geon Cho, Chae Moon Hong, Yong Hyu Jeong, Won Jun Kang, Yeon-Koo Kang, Ji-Young Kim, So Won Oh, Young So, Ho-Chun Song, Kyoung Sook Won, Soo Woong Yoo, Irena Mitevska, Marija Vavlukis, Barbara Gužic Salobir, Monika Štalc, Theodora Benedek, Marian Pop, Claudiu Stan, Alexey Ansheles, Olga Dariy, Nina Gagarina, Irina Itskovich, Anatoliy Karalkin, Alexander Kokov, Gulya Marina, Ekaterina Migunova, Viktor Pospelov, Daria Ryzhkova, Guzaliya Sayfullina, Vladimir Sergienko, Irina Shurupova, Margarita Vakhromeeva, Nailia Valiullina, Konstantin Zavadovsky, Kirill Zhuravlev, Rami Abazid, Turki Al Garni, Mirvat Alasnag, Ahmed Aljizeeri, Hamid Amer, Ahmad Amro, Hesham Hamdy, Osama Smettei, Dragana Sobic Saranovic, Marina Vlajkovic, Felix Keng, Jason See, Zuzana Berecova, Jana Polakova Mistinova, Osayande Evbuomwan, Nerisha Govender, Jonathan Hack, Bawinile Hadebe, Khanyisile Hlongwa, Mitchell Kaplan, Hoosen Lakhi, Katarina Milos, Moshe Modiselle, Stuart More, Ntanganedzeni Muambadzi, Leonie Scholtz, Manuel Barreiro-Perez, Isabel Blanco, Jordi Broncano, Alicia Camarero, Irene Casáns-Tormo, Javier De Haro, Albert Flotats, Elia García, Ceferino Gutierrez Mendiguchia, Amelia Jimenez-Heffernan, Ruben Leta, Javier Lopez Diaz, Luis Lumbreras Vega, Ana Manovel-Sánchez, Amparo Martinez Monzonis, Bianca Patrut, Virginia Pubul, Ricardo Ruano Perez, Nahla Zeidan, Damayanthi Nanayakkara, Ahmed Suliman, Henrik Engblom, Mustafa Murtadha, Ellen Ostenfeld, Magnus Simonsson, Hatem Alkadhi, Ronny Ralf Buechel, Peter Burger, Christoph Gräni, Christel Kamani, Nadine Kawel-Böhm, Bernd Klaeser, Robert Manka, John Prior, Tawika Kaewchur, Benjapa Khiewvan, Arpakorn Kositwattanarerk, Sirianong Namwongprom, Tanyaluck Thientunyakit, Haluk Burcak Sayman, Mahmut Yüksel, Mugisha Julius Sebikali, Emmy Okello, Pavlo Korol, Iryna Noverko, Maryna Satyr, Tahir Ahmad, Khaled Alfakih, Ivo Andrade, Susan Buckingham, Anda Bularga, John-Paul Carpenter, Graham Cole, David Cusack, Sarojini David, Patrick Davis, Timothy Fairbairn, Arjun Ghosh, Prasad Guntur Ramkumar, Mark Hamilton, Faisal Haque, Benjamin Hudson, Annette Johnstone, V.J. Karthikeyan, Mike Kay, Mohammad Ali Khan, Jamie Kitt, Chen Sheng Low, Elisa Mcalindon, David Mccreavy, Brian Morrissey, Manish Motwani, Dilip Na, Edward Nicol, Dilip Patel, Jonathan Rodrigues, Chris Rofe, Rebecca Schofield, Thomas Semple, Azeem Sheikh, Apurva Sinha, Deepak Subedi, William Topping, Katherine Tweed, Stephen Richard Underwood, Jonathan Weir-Mccall, Hamed Zuhairy, Taimur Abbasi, Shady Abohashem, Sandra Abramson, Mouaz Al-Mallah, Mohan Ashok Kumar, Mallory Balmer-Swain, Daniel Berman, Adam Bernheim, Sabha Bhatti, Robert Biederman, Erik Bieging, Scott Bingham, Stephen Bloom, Sean Blue, Andressa Borges, Kelley Branch, Paco Bravo, Sujatha Buddhe, Matthew Budoff, Renée Bullock-Palmer, Michael Cahill, Candace Candela, Jane Cao, Saurav Chatterjee, Yiannis Chatzizisis, Nita Ray Chaudhuri, Michael Cheezum, Anjali Chelliah, Tiffany Chen, Marcus Chen, Lu Chen, Aalap Chokshi, Jina Chung, Sorin Danciu, William DeSisto, Michael Dilorenzo, Rami Doukky, William Duvall, Maros Ferencik, Cameron Foster, Anthon Fuisz, Michael Gannon, David German, Myron Gerson, Jeffrey Geske, Fadi Hage, Agha Haider, Sofia Haider, Yasmin Hamirani, Karen Hassen, Robert Hendel, Jacqueline Henkel, Stephen Horgan, Mark Hyun, Rajesh Janardhanan, Scott Jerome, Dinesh Kalra, David Kassop, Mona Kinkhabwala, George Kinzfogl, Bernard Koch, Lynne Koweek, Joseph Krepp, Younghoon Kwon, Jay Layer, John Lesser, Steve Leung, Bernadette Lisske, Kathleen Magurany, Jeremy Markowitz, Brenda Mccullough, Azita Moalemi, Chanan Moffitt, Juan Montanez, Warren Moore, Shamil Morayati, Mahmud Mossa-Basha, Zorana Mrsic, Venkatesh Murthy, Prashant Nagpal, Katarina Nelson, Prabhjot Nijjar, Rupal O’Quinn, Edward Passen, Toral Patel, Pravin Patil, Amit Pursnani, Nancy Quachang, Mark Rabbat, Pragya Ranjan, Patricia Rodriguez Lozano, Mary Schemmer, Rebecca Seifried, Nishant Shah, Amee Shah, Sujata Shanbhag, Gaurav Sharma, Robert Skotnicki, Michael Sobczak, Prem Soman, Vincent Sorrell, Monvadi Srichai, Jim Streeter, Leah Strickland, Suliman Suliman, Naghmeh Tebyanian, Dustin Thomas, Randall Thompson, Seth Uretsky, Srikanth Vallurupalli, Marian Vandyck-Acquah, Vikas Verma, Todd Villines, Joseph Weinstein, David Wolinsky, Karolina Zareba, Michael Zgaljardic, Mario Beretta, Rodolfo Ferrando, Miguel Kapitan, Fernando Mut, Omoa Djuraev, Gulnora Rozikhodjaeva, Luisa Vera, Binh Duong Duc, Xuan Canh Nguyen, Phuoc Minh Hiep Nguyen, Translational Immunology Groningen (TRIGR), Cardiovascular Centre (CVC), Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE), Molecular Pharmacology, Drug Design, Einstein, A, Hirschfeld, C, Williams, M, Vitola, J, Better, N, Villines, T, Cerci, R, Shaw, L, Choi, A, Dorbala, S, Karthikeyan, G, Lu, B, Sinitsyn, V, Ansheles, A, Kudo, T, Bucciarelli-Ducci, C, Norgaard, B, Maurovich-Horvat, P, Campisi, R, Milan, E, Louw, L, Allam, A, Bhatia, M, Sewanan, L, Malkovskiy, E, Cohen, Y, Randazzo, M, Narula, J, Morozova, O, Pascual, T, Pynda, Y, Dondi, M, Paez, D, Hinterleitner, G, Lu, Y, Xu, Z, Erinne, I, Shetty, M, Lopez-Mattei, J, Parwani, P, Goda, A, Shirka, E, Bouyoucef, S, Chelghoum, L, Mansouri, F, Medjahedi, A, Naili, Q, Ridouh, M, Alasia, D, Alberghina, L, Aramayo, N, Buchara, D, Busso, F, Bustos Rivadero, J, Camilletti, J, Campanelli, H, Castro, R, Daicz, M, del Riego, H, Dragonetti, L, Echazarreta, D, Erriest, J, Faccio, F, Facello, A, Gallegos, H, Geronazzo, R, Glait, H, Hasbani, V, Jager, V, Lewkowicz, J, Lotti, J, Maciel, N, Masoli, O, Mastrovito, E, Medus, M, Merani, M, Molteni, S, Montecinos, M, Parisi, G, Sueldo, C, Perez de Arenaza, D, Quintana, L, Radzinschi, A, Redruello, M, Rodriguez, M, Rojas, H, Acuna, A, Schere, D, Traverso, S, Vazquez, G, Zeffiro, S, Sakanyan, M, Beuzeville, S, Boktor, R, Crowley, M, Downie, D, Dwivedi, G, Elison, B, Farouque, O, Jasper, K, Joshi, S, Lee, J, Lee, K, Lui, E, Mcconachie, P, Meaker, J, Nandurkar, D, Neill, J, O'Rourke, E, O'Sullivan, P, Pandos, G, Premaratne, M, Prior, D, Rutherford, N, Saunders, C, Taubman, K, Tauro, A, Taylor, A, Theuerle, J, Thomas, P, Tow, J, Upton, A, Vamadevan, S, Wayne, V, Wegner, E, Wong, D, Younger, J, Beitzke, D, Feuchtner, G, Sommer, O, Weiss, K, Maroz-Vadalazhskaya, N, Tserakhau, U, Homans, F, Van De Heyning, C, Araujo, R, Soldat-Stankovic, V, Stankovic, S, Almeida, A, Anselmi, C, Azevedo, G, Bittencourt, M, Pianta, D, Cabeda, E, Carreira, L, Coelho, I, de Amorim Fernandes, F, de Lorenzo, A, Delgado, R, Erthal, F, Fernandes, F, Fernandes, J, Ferreira de Souza, T, Foppa, M, Matos Alves, W, Gontijo, C, Gottlieb, I, Grossman, G, Albernaz Siqueira, M, Nomura, C, Koga, K, Lima, R, Lopes, R, Marcal Filho, H, Masiero, P, Mastrocola, L, Menezes de Siqueira, M, Mesquita, C, Naves, D, Penna, F, Pinto, I, Rocha, T, Rocha, J, Rodrigues, A, Salioni, L, Sanches, A, Santos, M, Da Silva, L, Schvartzman, P, Matushita, C, Senra, T, Silva, M, Soares, C, Spiro, B, Suaide Silva, C, Torres, R, Monte, G, Vilela, A, Villa, A, Voss, T, Waltrick, R, Zapparoli, M, Naseer, H, Garcheva-Tsacheva, M, Ouattara, T, Thou, S, Varoeun, S, Abikhzer, G, Beanlands, R, Chetrit, M, Dabreo, D, Dennie, C, Friedrich, M, Hafez, M, Hanneman, K, Miller, R, Oikonomou, A, Roifman, I, Small, G, Tandon, V, Trivedi, A, White, J, Zukotynski, K, Alay, R, Concha, C, Massardo, T, Abad, P, Anzola, K, Arturo, H, Benitez, L, Cadena, A, Zamudio, C, Calderon, A, Gutierrez Villamil, C, Jaimes, C, Londono, J, Lopez, N, Merlano-Gaitan, S, Murgieitio-Cabrera, R, Valencia, M, Vergel, D, Santamaria, A, Solis, F, Batinic, T, Franceschi, M, Paar, M, Prpic, M, Felipe Batista, C, Cabrera, L, Peix, A, Pena, Y, Rochela Vazquez, L, Ntalas, I, Kaminek, M, Kincl, V, Lang, O, Abdulla, J, Bottcher, M, Busk, M, Geisler, U, Gormsen, L, Hansson, N, Hess, S, Hove, J, Jensen, L, Jensen, M, Kragholm, K, Ovrehus, K, Rasmussen, J, Ronnow Sand, N, Sondergaard, H, Zaremba, T, Speckter, H, Amores, N, Velez, M, Alrahman, T, Elsamad, S, Abdelfattah, A, Elkaffas, S, Hassan, M, Hussein, E, Ibrahim, A, Kandeel, A, Ali, M, Shaaban, M, Flores, C, Gomez Leiva, V, Liiver, A, Larikka, M, Uusitalo, V, Agostini, D, Berger, C, Dietz, M, Hyafil, F, Ohana, M, Prigent, K, Regaieg, H, Sarda-Mantel, L, H-Ici, D, Ayetey, H, Angelidis, G, Fragkaki, C, Fragkiadaki, C, Georgoulias, P, Koutelou, M, Kyrozi, E, Lama, N, Prassopoulos, V, Spartalis, M, Zaglavara, T, Gonzalez, C, Gutierrez, G, Maldonado, A, Martinez, Y, Kovacs, A, Szilveszter, B, Banthia, N, Bhat, V, Choudhury, P, Chowdekar, V, Christopher, J, Garg, T, Goyal, N, Gupta, R, Gupta, A, Hephzibah, J, Jain, S, Krupa, J, Kumar, P, Kumar, S, Lalchandani, A, Mishra, A, Mishra, V, Mohan, P, Ozair, A, Pandey, S, Parameswaran, R, Patel, C, Patel, T, Patel, S, Vimala, L, Kumar Sarangi, D, Sengupta, S, Sethi, A, Sharma, A, Sharma, P, Shrigiriwar, A, Singh, S, Singh, H, Sood, A, Verma, A, Vyas, A, Soeriadi, E, Bun, E, Hutomo, F, Syawaluddin, H, Yudistiro, R, Albadr, A, Assadi, M, Emami, F, Emami-Ardekani, A, Farzanehfar, S, Jafari, R, Manafi-Farid, R, Tajik, M, Arnson, Y, Fuchs, S, Goldkorn, R, Kennedy, J, Leitman, M, Shalev, A, Acampa, W, Albano, D, Alongi, P, Arnone, G, Assante, R, Baritussio, A, Bauckneht, M, Bianco, F, Bonfiglioli, R, Bovenzi, F, Bruno, I, Bruno, A, Busnardo, E, Califaretti, E, Casoni, R, Censullo, V, Chierichetti, F, Chiocchi, M, Cittanti, C, Clemente, A, Cuocolo, A, De Rimini, M, De Vincentis, G, Della Tommasina, V, Dellegrottaglie, S, Erba, P, Evangelista, L, Faggi, L, Faragasso, E, Florimonte, L, Frantellizzi, V, Gatti, M, Gaudiano, A, Gelardi, F, Gerali, A, Gimelli, A, Guglielmo, M, Leccisotti, L, Liga, R, Liguori, C, Longo, G, Maffione, M, Marcassa, C, Matassa, G, Mele, D, Mircoli, L, Paccagnella, A, Pacella, S, Padovano, F, Pellegrini, D, Pergola, V, Pugliese, L, Quartuccio, N, Rampin, L, Ricci, F, Rubini, G, Russo, V, Sambuceti, G, Scatteia, A, Sciagra, R, Spidalieri, G, Stefanelli, A, Tedeschi, C, Ventroni, G, Baugh, D, Madu, E, Aikawa, T, Asano, H, Fujimoto, S, Fujise, K, Fukushima, Y, Fukuyama, K, Ichikawa, Y, Ideguchi, R, Iguchi, N, Imai, M, Ishimura, H, Isobe, S, Ito, K, Izawa, Y, Kadokami, T, Kasai, T, Kato, T, Kawamoto, T, Kiryu, S, Kumita, S, Manabe, O, Maruno, H, Matsumoto, N, Miyagawa, M, Moroi, M, Nagamachi, S, Nakajima, K, Nakazato, R, Nanasato, M, Naya, M, Norikane, T, Ohta, Y, Otomi, Y, Otsuka, H, Oyama-Manabe, N, Saito, M, Sarai, M, Sato, J, Sato, D, Shiraishi, S, Takanami, K, Takehana, K, Taniguchi, Y, Teragawa, H, Tomizawa, N, Umeji, K, Wakabayashi, Y, Yamada, S, Yamazaki, S, Yoneyama, T, Rawashdeh, M, Dautov, T, Makhdomi, K, Abass, M, Garashi, M, Siraj, Q, Kalnina, M, Haidar, M, Komiagiene, R, Kviecinskiene, G, Vajauskas, D, Karim, N, Doucoure, M, Reichmuth, L, Samuel, A, Dieng, M, Naojee, A, Hernandez, E, Alducin Tellez, C, Alexanderson-Rosas, E, Barragan, E, Cabada, M, Calderon, D, Carvajal-Juarez, I, Esparza, J, Gama-Moreno, M, Quinto, V, Gonzalez, N, Herrera-Zarza, M, Meave, A, Medina Verdugo, J, Melendez, G, Morales Murguia, R, Navarro Quiroz, C, Ornelas, M, Preciado-Anaya, A, Preciado-Gutierrez, O, Puente, A, Salazar, A, Rosales Uvera, S, Rosales-Uvera, S, Serna Macias, J, Sierra-Galan, L, Tirado Alderete, J, Vallejo, E, Faraggi, M, Sereegotov, E, Ben Rais, N, Alaoui, N, Kyiphyu, T, Oo, S, Win, S, Zar, H, Ghimire, R, Neupane, M, Glaudemans, A, Slart, R, Verschure, D, Allen, B, Edmond, J, Mckenzie, C, Tie, S, Van Pelt, N, Worthington, K, Young, C, Soli, I, Kana, S, Onubogu, U, Sani, M, Braten, A, Jorgensen, A, Vassbotn, H, Al Dhuhli, H, Jawa, Z, Tag, N, Fatima, S, Imran, M, Younis, M, Saadullah, M, Malo, Y, Lenturut-Katal, D, Castillo, M, Ortellado, J, Akhter, A, Cader, F, Hussain, R, Khan, S, Mandal, T, Nasreen, F, An, Y, Cao, D, Gong, L, Hou, Y, Jia, C, Li, T, Li, C, Liu, H, Liu, W, Liu, J, Ng, M, Shi, H, Tang, C, Wang, X, Wang, Z, Wang, Y, Wu, J, Yi, Y, Yuan, L, Zhang, T, Zhang, L, Chavez, E, Cruz, C, Llontop, C, Morales, R, Abrihan, P, Bustos-Barroso, A, Duldulao-Ogbac, M, Eduarte, C, Obaldo, J, Quinon, A, San Juan, B, San Juan, C, Sauler-Gomez, M, Uy, M, Kostkiewicz, M, Kunikowska, J, Teresinska, A, Urbanik, T, Bettencourt, N, Fontes-Carvalho, R, Gavina, C, Goncalves, L, Macedo, F, Moreno, N, Sousa, C, Timoteo, A, Vidigal, M, Al Heidous, M, Ramanathan, S, Arnous, S, Aytani, S, Byrne, A, Gleeson, T, Kerins, D, O'Brien, J, Bang, J, Bom, H, Cheon, M, Cheon, G, Cho, S, Hong, C, Jeong, Y, Kang, W, Kang, Y, Kim, J, Oh, S, So, Y, Song, H, Won, K, Yoo, S, Mitevska, I, Vavlukis, M, Salobir, B, Stalc, M, Benedek, T, Pop, M, Stan, C, Dariy, O, Gagarina, N, Itskovich, I, Karalkin, A, Kokov, A, Marina, G, Migunova, E, Pospelov, V, Ryzhkova, D, Sayfullina, G, Sergienko, V, Shurupova, I, Vakhromeeva, M, Valiullina, N, Zavadovsky, K, Zhuravlev, K, Abazid, R, Al Garni, T, Alasnag, M, Aljizeeri, A, Amer, H, Amro, A, Hamdy, H, Smettei, O, Saranovic, D, Vlajkovic, M, Keng, F, See, J, Berecova, Z, Mistinova, J, Evbuomwan, O, Govender, N, Hack, J, Hadebe, B, Hlongwa, K, Kaplan, M, Lakhi, H, Milos, K, Modiselle, M, More, S, Muambadzi, N, Scholtz, L, Barreiro-Perez, M, Blanco, I, Broncano, J, Camarero, A, Casans-Tormo, I, De Haro, J, Flotats, A, Garcia, E, Mendiguchia, C, Jimenez-Heffernan, A, Leta, R, Diaz, J, Vega, L, Manovel-Sanchez, A, Monzonis, A, Patrut, B, Pubul, V, Perez, R, Zeidan, N, Nanayakkara, D, Suliman, A, Engblom, H, Murtadha, M, Ostenfeld, E, Simonsson, M, Alkadhi, H, Buechel, R, Burger, P, Grani, C, Kamani, C, Kawel-Bohm, N, Klaeser, B, Manka, R, Prior, J, Kaewchur, T, Khiewvan, B, Kositwattanarerk, A, Namwongprom, S, Thientunyakit, T, Sayman, H, Yuksel, M, Sebikali, M, Okello, E, Korol, P, Noverko, I, Satyr, M, Ahmad, T, Alfakih, K, Andrade, I, Buckingham, S, Bularga, A, Carpenter, J, Cole, G, Cusack, D, David, S, Davis, P, Fairbairn, T, Ghosh, A, Ramkumar, P, Hamilton, M, Haque, F, Hudson, B, Johnstone, A, Karthikeyan, V, Kay, M, Khan, M, Kitt, J, Low, C, Mcalindon, E, Mccreavy, D, Morrissey, B, Motwani, M, Na, D, Nicol, E, Patel, D, Rodrigues, J, Rofe, C, Schofield, R, Semple, T, Sheikh, A, Sinha, A, Subedi, D, Topping, W, Tweed, K, Underwood, S, Weir-Mccall, J, Zuhairy, H, Abbasi, T, Abohashem, S, Abramson, S, Al-Mallah, M, Kumar, M, Balmer-Swain, M, Berman, D, Bernheim, A, Bhatti, S, Biederman, R, Bieging, E, Bingham, S, Bloom, S, Blue, S, Borges, A, Branch, K, Bravo, P, Buddhe, S, Budoff, M, Bullock-Palmer, R, Cahill, M, Candela, C, Cao, J, Chatterjee, S, Chatzizisis, Y, Chaudhuri, N, Cheezum, M, Chelliah, A, Chen, T, Chen, M, Chen, L, Chokshi, A, Chung, J, Danciu, S, Desisto, W, Dilorenzo, M, Doukky, R, Duvall, W, Ferencik, M, Foster, C, Fuisz, A, Gannon, M, German, D, Gerson, M, Geske, J, Hage, F, Haider, A, Haider, S, Hamirani, Y, Hassen, K, Hendel, R, Henkel, J, Horgan, S, Hyun, M, Janardhanan, R, Jerome, S, Kalra, D, Kassop, D, Kinkhabwala, M, Kinzfogl, G, Koch, B, Koweek, L, Krepp, J, Kwon, Y, Layer, J, Lesser, J, Leung, S, Lisske, B, Magurany, K, Markowitz, J, Mccullough, B, Moalemi, A, Moffitt, C, Montanez, J, Moore, W, Morayati, S, Mossa-Basha, M, Mrsic, Z, Murthy, V, Nagpal, P, Nelson, K, Nijjar, P, O'Quinn, R, Passen, E, Patil, P, Pursnani, A, Quachang, N, Rabbat, M, Ranjan, P, Lozano, P, Schemmer, M, Seifried, R, Shah, N, Shah, A, Shanbhag, S, Sharma, G, Skotnicki, R, Sobczak, M, Soman, P, Sorrell, V, Srichai, M, Streeter, J, Strickland, L, Suliman, S, Tebyanian, N, Thomas, D, Thompson, R, Uretsky, S, Vallurupalli, S, Vandyck-Acquah, M, Verma, V, Weinstein, J, Wolinsky, D, Zareba, K, Zgaljardic, M, Beretta, M, Ferrando, R, Kapitan, M, Mut, F, Djuraev, O, Rozikhodjaeva, G, Vera, L, Duc, B, Nguyen, X, Hiep Nguyen, P, Einstein, Andrew J, Hirschfeld, Cole, Williams, Michelle C, Vitola, Joao V, Better, Nathan, Villines, Todd C, Cerci, Rodrigo, Shaw, Leslee J, Choi, Andrew D, Dorbala, Sharmila, Karthikeyan, Ganesan, Lu, Bin, Sinitsyn, Valentin, Ansheles, Alexey A, Kudo, Takashi, Bucciarelli-Ducci, Chiara, Nørgaard, Bjarne Linde, Maurovich-Horvat, Pál, Campisi, Roxana, Milan, Elisa, Louw, Lizette, Allam, Adel H, Bhatia, Mona, Sewanan, Lorenzo, Malkovskiy, Eli, Cohen, Yosef, Randazzo, Michael, Narula, Jagat, Morozova, Olga, Pascual, Thomas N B, Pynda, Yaroslav, Dondi, Maurizio, Paez, Diana, and Cuocolo, Alberto
Subjects: cardiac testing, Health Personnel, delivery of health care, coronavirus, COVID-19, global health, 610 Medicine & health, cardiovascular disease, health personnel, humans, pandemics, surveys and questionnaires, coronaviru, Surveys and Questionnaires, Humans, Cardiology and Cardiovascular Medicine, Delivery of Health Care, Pandemics, COVID-19/epidemiology
Abstract: BACKGROUND: The extent to which health care systems have adapted to the COVID-19 pandemic to provide necessary cardiac diagnostic services is unknown.OBJECTIVES: The aim of this study was to determine the impact of the pandemic on cardiac testing practices, volumes and types of diagnostic services, and perceived psychological stress to health care providers worldwide.METHODS: The International Atomic Energy Agency conducted a worldwide survey assessing alterations from baseline in cardiovascular diagnostic care at the pandemic's onset and 1 year later. Multivariable regression was used to determine factors associated with procedure volume recovery.RESULTS: Surveys were submitted from 669 centers in 107 countries. Worldwide reduction in cardiac procedure volumes of 64% from March 2019 to April 2020 recovered by April 2021 in high- and upper middle-income countries (recovery rates of 108% and 99%) but remained depressed in lower middle- and low-income countries (46% and 30% recovery). Although stress testing was used 12% less frequently in 2021 than in 2019, coronary computed tomographic angiography was used 14% more, a trend also seen for other advanced cardiac imaging modalities (positron emission tomography and magnetic resonance; 22%-25% increases). Pandemic-related psychological stress was estimated to have affected nearly 40% of staff, impacting patient care at 78% of sites. In multivariable regression, only lower-income status and physicians' psychological stress were significant in predicting recovery of cardiac testing.CONCLUSIONS: Cardiac diagnostic testing has yet to recover to prepandemic levels in lower-income countries. Worldwide, the decrease in standard stress testing is offset by greater use of advanced cardiac imaging modalities. Pandemic-related psychological stress among providers is widespread and associated with poor recovery of cardiac testing.
Published: 2022
Full Text: View/download PDF

35. From a priori to evidence and advocacy: The evolving paradigm of CCT competency for structural heart disease

Author: David J. Hur, Dee Dee Wang, and Andrew D. Choi
Subjects: Heart Valve Prosthesis Implantation, Transcatheter Aortic Valve Replacement, Cardiac Catheterization, Treatment Outcome, Predictive Value of Tests, Aortic Valve, Heart Valve Prosthesis, Humans, Radiology, Nuclear Medicine and imaging, Aortic Valve Stenosis, Cardiology and Cardiovascular Medicine
Published: 2022

36. The effect of scan and patient parameters on the diagnostic performance of AI for detecting coronary stenosis on coronary CT angiography

Author: Rebecca A. Jonas, Emil Barkovich, Andrew D. Choi, William F. Griffin, Joanna 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 C. Thompson, James J. Jang, Michael Ridner, Chris Rowan, Erick Avelar, Philippe Généreux, Paul Knaapen, Guus A. de Waard, Gianluca Pontone, Daniele Andreini, Marco Guglielmo, Mouaz H. Al-Mallah, Robert S. Jennings, Tami R. Crabtree, James P. Earls, Cardiology, ACS - Atherosclerosis & ischemic syndromes, ACS - Heart failure & arrhythmias, and NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
Subjects: Male, Artificial intelligence, Computed Tomography Angiography, Coronary Stenosis, CCTA, Atherosclerosis, Coronary artery disease, Coronary computed tomography angiography, Image quality, Settore MED/11 - Malattie dell'Apparato Cardiovascolare, Middle Aged, Coronary Angiography, Predictive Value of Tests, Radiology Nuclear Medicine and imaging, Humans, Female, Radiology, Nuclear Medicine and imaging, Tomography, X-Ray Computed, Aged, Retrospective Studies
Abstract: Publisher Copyright: © 2022 The Authors Objectives: To determine whether coronary computed tomography angiography (CCTA) scanning, scan preparation, contrast, and patient based parameters influence the diagnostic performance of an artificial intelligence (AI) based analysis software for identifying coronary lesions with ≥50% stenosis. Background: CCTA is a noninvasive imaging modality that provides diagnostic and prognostic benefit to patients with coronary artery disease (CAD). The use of AI enabled quantitative CCTA (AI-QCT) analysis software enhances our diagnostic and prognostic ability, however, it is currently unclear whether software performance is influenced by CCTA scanning parameters. Methods: CCTA and quantitative coronary CT (QCT) data from 303 stable patients (64 ± 10 years, 71% male) from the derivation arm of the CREDENCE Trial were retrospectively analyzed using an FDA-cleared cloud-based software that performs AI-enabled coronary segmentation, lumen and vessel wall determination, plaque quantification and characterization, and stenosis determination. The algorithm's diagnostic performance measures (sensitivity, specificity, and accuracy) for detecting coronary lesions of ≥50% stenosis were determined based on concordance with QCA measurements and subsequently compared across scanning parameters (including scanner vendor, model, single vs dual source, tube voltage, dose length product, gating technique, timing method), scan preparation technique (use of beta blocker, use and dose of nitroglycerin), contrast administration parameters (contrast type, infusion rate, iodine concentration, contrast volume) and patient parameters (heart rate and BMI). Results: Within the patient cohort, 13% demonstrated ≥50% stenosis in 3 vessel territories, 21% in 2 vessel territories, 35% in 1 vessel territory while 32% had 400 mg/ml 95.2%; p = 0.0287) in the context of low injection flow rates. On a per patient basis there were no significant differences in AI diagnostic performance measures across all measured scanner, scan technique, patient preparation, contrast, and individual patient parameters. Conclusion: The diagnostic performance of AI-QCT analysis software for detecting moderate to high grade stenosis are unaffected by commonly used CCTA scanning parameters and across a range of common scanning, scanner, contrast and patient variables. Condensed abstract: An AI-enabled quantitative CCTA (AI-QCT) analysis software has been validated as an effective tool for the identification, quantification and characterization of coronary plaque and stenosis through comparison to blinded expert readers and quantitative coronary angiography. However, it is unclear whether CCTA screening parameters related to scanner parameters, scan technique, contrast volume and rate, radiation dose, or a patient's BMI or heart rate at time of scan affect the software's diagnostic measures for detection of moderate to high grade stenosis. AI performance measures were unaffected across a broad range of commonly encountered scanner, patient preparation, scan technique, intravenous contrast and patient parameters. publishersversion published
Published: 2022
Full Text: View/download PDF

37. Coronary Computed Tomography Angiography From Clinical Uses to Emerging Technologies

Author: Ramzi Khamis, Habib Samady, Charles A. Taylor, Andrew D. Choi, Amit K. Dey, Udo Hoffmann, Andrew J. Buckler, James K. Min, Leslee J. Shaw, Matthew J. Budoff, Jagat Narula, Campbell Rogers, Khaled Abdelrahman, Ron Blankstein, Aloke V. Finn, Renu Virmani, Marcus Y. Chen, Nehal N. Mehta, Michelle C. Williams, and Charalambos Antoniades
Subjects: medicine.medical_specialty, Disease detection, business.industry, Coronary computed tomography angiography, State of the art review, 030204 cardiovascular system & hematology, medicine.disease, Coronary artery disease, 03 medical and health sciences, 0302 clinical medicine, Acute chest pain, medicine, 030212 general & internal medicine, Radiology, Subclinical disease, Cardiology and Cardiovascular Medicine, Risk assessment, business
Abstract: Evaluation of coronary artery disease (CAD) using coronary computed tomography angiography (CCTA) has seen a paradigm shift in the last decade. Evidence increasingly supports the clinical utility of CCTA across various stages of CAD, from the detection of early subclinical disease to the assessment of acute chest pain. Additionally, CCTA can be used to noninvasively quantify plaque burden and identify high-risk plaque, aiding in diagnosis, prognosis, and treatment. This is especially important in the evaluation of CAD in immune-driven conditions with increased cardiovascular disease prevalence. Emerging applications of CCTA based on hemodynamic indices and plaque characterization may provide personalized risk assessment, affect disease detection, and further guide therapy. This review provides an update on the evidence, clinical applications, and emerging technologies surrounding CCTA as highlighted at the 2019 National Heart, Lung and Blood Institute CCTA Summit.
Published: 2020
Full Text: View/download PDF

38. JACC: Case Reports

Author: Julia Grapsa, Estefania Oliveros, Yevgeniy Brailovsky, Andrew D. Choi, Nadeen N. Faza, Marat Fudim, and Purvi Parwani
Subjects: 2019-20 coronavirus outbreak, medicine.medical_specialty, Cardiotwitter, Coronavirus disease 2019 (COVID-19), business.industry, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), social media, altmetric score, Twitter, SoMe, social media, Viewpoint, Family medicine, RC666-701, case reports, Medicine, Diseases of the circulatory (Cardiovascular) system, Social media, Cardiology and Cardiovascular Medicine, business, IQR, interquartile range, ComputingMethodologies_COMPUTERGRAPHICS, AAS, altmetric attention score
Abstract: Graphical abstract
Published: 2020

39. Multimodality Cardiovascular Imaging in the Midst of the COVID-19 Pandemic

Author: Koen Nieman, William A. Zoghbi, Thomas H. Marwick, Eike Nagel, Michael Salerno, Jeffrey B. Geske, Subha V. Raman, Raymond Y. Kwong, Farouc A. Jaffer, Marcelo F. DiCarli, Ron Blankstein, Andrew D. Choi, Y S Chandrashekhar, Leslee J. Shaw, Frank A. Flachskampf, Paul A. Grayburn, Partho P. Sengupta, Vasken Dilsizian, and Jonathan Leipsic
Subjects: Male, CAD, coronary artery disease, CAC, coronary artery calcium, 030204 cardiovascular system & hematology, Multimodal Imaging, nuclear cardiology, Occupational safety and health, 030218 nuclear medicine & medical imaging, 0302 clinical medicine, CMR, cardiac magnetic resonance, Health care, Pandemic, echocardiography, Infection control, Medicine, cardiovascular imaging, COVID-19, coronavirus disease 2019, TEE, transesophageal echocardiography, CT, computed tomography, Cardiovascular Diseases, Radiology Nuclear Medicine and imaging, TTE, transthoracic echocardiography, cardiac computer tomography, Female, Patient Safety, CTA, computed tomography angiography, Medical emergency, Coronavirus Infections, Cardiology and Cardiovascular Medicine, PPE, personal protective equipment, Safety Management, Coronavirus disease 2019 (COVID-19), SPECT, single-photon emission tomography, Pneumonia, Viral, Magnetic Resonance Imaging, Cine, POCUS, point-of-care ultrasound, Article, cardiac magnetic resonance, PET, positron emission tomography, Multimodality, 03 medical and health sciences, Patient safety, Humans, Radiology, Nuclear Medicine and imaging, Pandemics, Personal Protective Equipment, Personal protective equipment, Occupational Health, Infection Control, business.industry, COVID-19, medicine.disease, Infectious Disease Transmission, Vertical, United States, Cardiac Imaging Techniques, business, Echocardiography, Transesophageal, Forecasting
Abstract: The coronavirus disease 2019 (COVID-19) pandemic created an unprecedented disruption to routine patient care ([1][1]). Health care professionals scrambled within weeks to attend to the surge of affected individuals amid concerns of hospital capacity and scarcity of personal protective equipment (PPE
Published: 2020
Full Text: View/download PDF

40. Highlights of the fourteenth annual scientific meeting of the Society of Cardiovascular Computed Tomography

Author: Jonathon Leipsic, Brian B. Ghoshhajra, Suhny Abbara, Leslee J. Shaw, Andrew D. Choi, Jonathan R. Weir-McCall, Ron Blankstein, Edward D. Nicol, Kelley R. Branch, and Koen Nieman
Subjects: medicine.medical_specialty, Cardiac computed tomography, medicine.diagnostic_test, business.industry, Computed tomography, 030204 cardiovascular system & hematology, 030218 nuclear medicine & medical imaging, Clinical Practice, 03 medical and health sciences, 0302 clinical medicine, Medicine, Radiology, Nuclear Medicine and imaging, Medical physics, Cardiology and Cardiovascular Medicine, business
Abstract: The 14th Annual Scientific Meeting of the SCCT, held from July 11 to July 14 in Baltimore, MA, was attended by 830 attendees from 31 countries, with a program that included 45 sessions, and 26 exhibitors. This article summarizes several of the key themes and topics that were presented at this meeting, and provides an overview of the technical advances that are likely to impact future clinical practice in cardiovascular computed tomography.
Published: 2020
Full Text: View/download PDF

41. The global social media response to the 14th annual Society of Cardiovascular Computed Tomography scientific sessions

Author: Andrew D. Choi, James Lee, Emilio Fentanes, Erin D. Michos, Martha Gulati, Vasvi Singh, Leslee J. Shaw, Purvi Parwani, Juan Lopez-Mattei, Khurram Nasir, Ron Blankstein, and Koen Nieman
Subjects: medicine.diagnostic_test, Information Dissemination, business.industry, Computed tomography, Congresses as Topic, 030204 cardiovascular system & hematology, Public relations, Scholarly Communication, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Cardiovascular Diseases, Predictive Value of Tests, Humans, Recent memory, Medicine, Radiology, Nuclear Medicine and imaging, Social media, Diffusion of Innovation, Tomography, X-Ray Computed, Cardiology and Cardiovascular Medicine, business, Social Media
Abstract: The 2019 Society of Cardiovascular Computed Tomography (SCCT) Annual Scientific Meeting (ASM) was perhaps the most impactful meeting in recent memory for the field of cardiovascular CT. Beyond just being the highest attended ASM meeting in the society's history, the virtual impact of the meeting extended farther than ever before due to coordinated social media coverage and participation. As a result, the ASM reinforced the fact that the educational paradigm and audience of scientific meetings has changed. Bound through the hashtag #SCCT2019, social media allowed the research, education, networking and trends from this year's ASM to extend beyond the walls of the meeting with a record setting level of digital global reach. Using posts from Twitter as a prism of interests and response of the global cardiovascular CT community, this article presents the topics with the highest social media engagement from the 14th ASM.
Published: 2020
Full Text: View/download PDF

42. Society of Cardiovascular Computed Tomography guidance for use of cardiac computed tomography amidst the COVID-19 pandemic Endorsed by the American College of Cardiology

Author: Gudrun Feuchtner, Todd C. Villines, Andrew D. Choi, Brian B. Ghoshhajra, Suhny Abbara, Ron Blankstein, Michelle C. Williams, Gianluca Pontone, Koen Nieman, and Kelley R. Branch
Subjects: medicine.medical_specialty, Infectious Disease Transmission, Patient-to-Professional, Coronavirus disease 2019 (COVID-19), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Pneumonia, Viral, Computed tomography, 030204 cardiovascular system & hematology, Risk Assessment, Occupational safety and health, Infectious Disease Transmission, Professional-to-Patient, 030218 nuclear medicine & medical imaging, Appointments and Schedules, Betacoronavirus, 03 medical and health sciences, Patient safety, 0302 clinical medicine, Risk Factors, Pandemic, Humans, Medicine, Radiology, Nuclear Medicine and imaging, Pandemics, Occupational Health, medicine.diagnostic_test, SARS-CoV-2, business.industry, Social distance, COVID-19, Radiology Nuclear Medicine and imaging, Family medicine, Patient Safety, Coronavirus Infections, Tomography, X-Ray Computed, Cardiology and Cardiovascular Medicine, business, Risk assessment
Abstract: The world is currently suffering through a pandemic outbreak of severe respiratory syndrome coronavirus 2 (SARS-CoV-2) known as Coronavirus Disease 2019 (COVID-19). The United States (US) Centers for Disease Control and Prevention (CDC) currently advises medical facilities to "reschedule non-urgent outpatient visits as necessary". The European Centre for Disease Prevention and Control, the United Kingdom National Health Service and several other international agencies covering Asia, North America and most regions of the world have recommended similar "social distancing" measures. The Society of Cardiovascular Computed Tomography (SCCT) offers guidance for cardiac CT (CCT) practitioners to help implement these international recommendations in order to decrease the risk of COVID-19 transmission in their facilities while deciding on the timing of outpatient and inpatient CCT exams. This document also emphasizes SCCT's commitment to the health and well-being of CCT technologists, imagers, trainees, and research community, as well as the patients served by CCT.
Published: 2020
Full Text: View/download PDF

43. HIGH DIAGNOSTIC ACCURACY OF AI-ISCHEMIA IN COMPARISON TO PET, FFR-CT, SPECT, AND INVASIVE FFR: A PACIFIC SUB-STUDY

Author: Nick S. Nurmohamed, Ibrahim Danad, Ruurt Jukema, Roel Driessen, Michiel Bom, Ruben Willem De Winter, Ralf Sprengers, Richard J. Katz, Catherine Cantlay, Juhani M. Knuuti, James K. Min, James P. Earls, Andrew D. Choi, and Paul Knaapen
Subjects: Cardiology and Cardiovascular Medicine
Published: 2023
Full Text: View/download PDF

44. QUANTITATIVE PLAQUE STAGING SYSTEM PREDICTS LONG-TERM CARDIOVASCULAR OUTCOMES IN PATIENTS AT RISK FOR ATHEROSCLEROTIC CARDIOVASCULAR DISEASE

Author: Nick S. Nurmohamed, Michiel Bom, Ruurt Jukema, Robin De Groot, Roel Driessen, Pepijn Van Diemen, Ralf Sprengers, James K. Min, James P. Earls, Ibrahim Danad, Andrew D. Choi, and Paul Knaapen
Subjects: Cardiology and Cardiovascular Medicine
Published: 2023
Full Text: View/download PDF

45. INFLAMED TO THE BRINK AND BACK: NON-ATHEROSCLEROTIC STEMI FROM OSTIAL LEFT MAIN DISEASE IN A 25-YEAR-OLD WOMAN

Author: Sowmya N. Swamy, Tatiana Busu, Christian Nagy, Robert Zeman, Esma Akin, and Andrew D. Choi
Subjects: Cardiology and Cardiovascular Medicine
Published: 2023
Full Text: View/download PDF

46. AI-QCT DEMONSTRATES SUPERIOR ACCURACY FOR THE DIAGNOSIS OF OBSTRUCTIVE CAD BY QCA STANDARD COMPARED TO CORE LAB CCTA INTERPRETATION

Author: Nick S. Nurmohamed, Ruurt Jukema, Roel Driessen, Michiel Bom, Ruben Willem De Winter, Ralf Sprengers, Alexander Nap, Alfateh Sidahmed, James K. Min, James P. Earls, Andrew D. Choi, Paul Knaapen, and Ibrahim Danad
Subjects: Cardiology and Cardiovascular Medicine
Published: 2023
Full Text: View/download PDF

47. CARDIAC TAMPONADE AS INITIAL PRESENTATION IN A PATIENT WITH PRIMARY CARDIAC LEIOMYOSARCOMA

Author: Tatiana Busu, Andrew Bradley, Mohammad Shirazi, Shaitalya Vellanki, Mustafa Hammudi, Allen Jay Solomon, Robert Zeman, and Andrew D. Choi
Subjects: Cardiology and Cardiovascular Medicine
Published: 2023
Full Text: View/download PDF

48. Cardiac CT angiography in current practice: An American society for preventive cardiology clinical practice statement

Author: Matthew J. Budoff, Suvasini Lakshmanan, Peter P. Toth, Harvey S. Hecht, Leslee J. Shaw, David J. Maron, Erin D. Michos, Kim A. Williams, Khurram Nasir, Andrew D. Choi, Kavitha Chinnaiyan, James Min, and Michael Blaha
Subjects: screening and diagnosis, Prevention, General Medicine, Cardiovascular, Atherosclerosis, 4.1 Discovery and preclinical testing of markers and technologies, Detection, Heart Disease, Good Health and Well Being, Clinical Research, RC666-701, Diseases of the circulatory (Cardiovascular) system, Biomedical Imaging, Public aspects of medicine, RA1-1270, Heart Disease - Coronary Heart Disease, 4.2 Evaluation of markers and technologies
Abstract: In this clinical practice statement, we represent a summary of the current evidence and clinical applications of cardiac computed tomography (CT) in evaluation of coronary artery disease (CAD), from an expert panel organized by the American Society for Preventive Cardiology (ASPC), and appraises the current use and indications of cardiac CT in clinical practice. Cardiac CT is emerging as a front line non-invasive diagnostic test for CAD, with evidence supporting the clinical utility of cardiac CT in diagnosis and prevention. CCTA offers several advantages beyond other testing modalities, due to its ability to identify and characterize coronary stenosis severity and pathophysiological changes in coronary atherosclerosis and stenosis, aiding in early diagnosis, prognosis and management of CAD. This document further explores the emerging applications of CCTA based on functional assessment using CT derived fractional flow reserve, peri‑coronary inflammation and artificial intelligence (AI) that can provide personalized risk assessment and guide targeted treatment. We sought to provide an expert consensus based on the latest evidence and best available clinical practice guidelines regarding the role of CCTA as an essential tool in cardiovascular prevention – applicable to risk assessment and early diagnosis and management, noting potential areas for future investigation.
Published: 2021

49. Artificial Intelligence Advancements in the Cardiovascular Imaging of Coronary Atherosclerosis

Author: Pedro Covas, Eison De Guzman, Ian Barrows, Andrew J. Bradley, Brian G. Choi, Joseph M. Krepp, Jannet F. Lewis, Richard Katz, Cynthia M. Tracy, Robert K. Zeman, James P. Earls, and Andrew D. Choi
Subjects: Cardiology and Cardiovascular Medicine
Abstract: Coronary artery disease is a leading cause of death worldwide. There has been a myriad of advancements in the field of cardiovascular imaging to aid in diagnosis, treatment, and prevention of coronary artery disease. The application of artificial intelligence in medicine, particularly in cardiovascular medicine has erupted in the past decade. This article serves to highlight the highest yield articles within cardiovascular imaging with an emphasis on coronary CT angiography methods for % stenosis evaluation and atherosclerosis quantification for the general cardiologist. The paper finally discusses the evolving paradigm of implementation of artificial intelligence in real world practice.
Published: 2021

50. Relationship of age, atherosclerosis and angiographic stenosis using artificial intelligence

Author: Hyuk Jae Chang, Todd C. Villines, Jung Hyun Choi, Gianluca Pontone, Michiel J. Bom, Hugo Marques, James J. Jang, Chris Rowan, Ryo Nakazato, Mouaz H. Al-Mallah, Bin Lu, Chang-Wook Nam, Muhammad Akram Khan, Ae-Young Her, Joon-Hyung Doh, Roel S. Driessen, Paul Knaapen, Sanghoon Shin, Robert S Jennings, Hyung-Bok Park, Guus A. de Waard, U. Joseph Schoepf, Randall C. Thompson, Tami R Crabtree, Yang Gao, Philippe Généreux, Alessia Gimelli, Andrew D. Choi, Faisal Nabi, Jason H. Cole, James K. Min, Erick Avelar, Michael Ridner, Bon Kwon Koo, James P. Earls, Daniele Andreini, Rebecca A Jonas, NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM), Comprehensive Health Research Centre (CHRC) - pólo NMS, Cardiology, ACS - Atherosclerosis & ischemic syndromes, and ACS - Heart failure & arrhythmias
Subjects: Coronary angiography, Male, Myocardial ischemia, diagnostic imaging, Computed Tomography Angiography, Coronary Artery Disease, Coronary Angiography, Severity of Illness Index, Computed tomographic, Lesion, Artificial Intelligence, Predictive Value of Tests, medicine, Humans, Diseases of the circulatory (Cardiovascular) system, Prospective Studies, Computed tomography angiography, Aged, medicine.diagnostic_test, business.industry, Incidence, carotid artery diseases, Coronary Stenosis, Lesion types, Middle Aged, medicine.disease, Coronary Vessels, Plaque, Atherosclerotic, United States, Invasive coronary angiography, Stenosis, RC666-701, Female, Artificial intelligence, medicine.symptom, coronary angiography, atherosclerosis, business, Cardiology and Cardiovascular Medicine, computed tomography angiography, Follow-Up Studies
Abstract: ObjectiveThe study evaluates the relationship of coronary stenosis, atherosclerotic plaque characteristics (APCs) and age using artificial intelligence enabled quantitative coronary computed tomographic angiography (AI-QCT).MethodsThis is a post-hoc analysis of data from 303 subjects enrolled in the CREDENCE (Computed TomogRaphic Evaluation of Atherosclerotic Determinants of Myocardial IsChEmia) trial who were referred for invasive coronary angiography and subsequently underwent coronary computed tomographic angiography (CCTA). In this study, a blinded core laboratory analysing quantitative coronary angiography images classified lesions as obstructive (≥50%) or non-obstructive (ResultsThe cohort was 64.4±10.2 years and 29% women. Overall, patients >65 had more PV and CP than patients 65 had more CP than younger patients in both obstructive (29.2 mm3 vs 48.2 mm3; p3 vs 49.4 mm3; pConclusionAI-QCT identifies a unique APC signature that differs by age and degree of stenosis and provides a foundation for AI-guided age-based approaches to atherosclerosis identification, prevention and treatment.
Published: 2021
Full Text: View/download PDF

Catalog

Books, media, physical & digital resources

See catalog results

Searchworks

Select search scope, currently: Articles Catalog books, media & more in Jio Institute collections Articles journal articles & other e-resources

Search

Search Constraints

Refine your results

Search Limiters

Topic

Publication Year Range

Language

Publication Type

Journal

Database

Publisher

147 results on '"Andrew D, Choi"'

Search Results

Catalog

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources