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3,341 results on '"Leipsic, Jonathon"'

152. Impact of age on coronary artery plaque progression and clinical outcome: A PARADIGM substudy

Author

Kim, Minkwan, Lee, Seung-Pyo, Kwak, Soongu, Yang, Seokhun, Kim, Yong-Jin, Andreini, Daniele, Al-Mallah, Mouaz H., Budoff, Matthew J., Cademartiri, Filippo, Chinnaiyan, Kavitha, Choi, Jung Hyun, Conte, Edoardo, Marques, Hugo, de Araújo Gonçalves, Pedro, Gottlieb, Ilan, Hadamitzky, Martin, Leipsic, Jonathon A., Maffei, Erica, Pontone, Gianluca, Raff, Gilbert L., Shin, Sanghoon, Lee, Byoung Kwon, Chun, Eun Ju, Sung, Ji Min, Lee, Sang-Eun, Berman, Daniel S., Lin, Fay Y., Virmani, Renu, Samady, Habib, Stone, Peter H., Narula, Jagat, Bax, Jeroen J., Shaw, Leslee J., Min, James K., and Chang, Hyuk-Jae

Published
2021
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153. Atherogenic index of plasma and the risk of rapid progression of coronary atherosclerosis beyond traditional risk factors

Author

Won, Ki-Bum, Heo, Ran, Park, Hyung-Bok, Lee, Byoung Kwon, Lin, Fay Y., Hadamitzky, Martin, Kim, Yong-Jin, Sung, Ji Min, Conte, Edoardo, Andreini, Daniele, Pontone, Gianluca, Budoff, Matthew J., Gottlieb, Ilan, Chun, Eun Ju, Cademartiri, Filippo, Maffei, Erica, Marques, Hugo, de Araújo Gonçalves, Pedro, Leipsic, Jonathon A., Lee, Sang-Eun, Shin, Sanghoon, Choi, Jung Hyun, Virmani, Renu, Samady, Habib, Chinnaiyan, Kavitha, Berman, Daniel S., Narula, Jagat, Shaw, Leslee J., Bax, Jeroen J., Min, James K., and Chang, Hyuk-Jae

Published
2021
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154. Outcomes 2 Years After Transcatheter Aortic Valve Replacement in Patients at Low Surgical Risk

Author

Leon, Martin B., Mack, Michael J., Hahn, Rebecca T., Thourani, Vinod H., Makkar, Raj, Kodali, Susheel K., Alu, Maria C., Madhavan, Mahesh V., Chau, Katherine H., Russo, Mark, Kapadia, Samir R., Malaisrie, S. Chris, Cohen, David J., Blanke, Philipp, Leipsic, Jonathon A., Williams, Mathew R., McCabe, James M., Brown, David L., Babaliaros, Vasilis, Goldman, Scott, Herrmann, Howard C., Szeto, Wilson Y., Genereux, Philippe, Pershad, Ashish, Lu, Michael, Webb, John G., Smith, Craig R., and Pibarot, Philippe

Published
2021
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156. Society of Cardiovascular Computed Tomography / North American Society of Cardiovascular Imaging – Expert Consensus Document on Coronary CT Imaging of Atherosclerotic Plaque

Author

Shaw, Leslee J., Blankstein, Ron, Bax, Jeroen J., Ferencik, Maros, Bittencourt, Marcio Sommer, Min, James K., Berman, Daniel S., Leipsic, Jonathon, Villines, Todd C., Dey, Damini, Al’Aref, Subhi, Williams, Michelle C, Lin, Fay, Baskaran, Lohendran, Litt, Harold, Litmanovich, Diana, Cury, Ricardo, Gianni, Umberto, van den Hoogen, Inge, R. van Rosendael, Alexander, Budoff, Matthew, Chang, Hyuk-Jae, E. Hecht, Harvey, Feuchtner, Gudrun, Ahmadi, Amir, Ghoshajra, Brian B., Newby, David, Chandrashekhar, Y.S., and Narula, Jagat

Published
2021
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157. The clinical utility of FFRCT stratified by age

Author

Anastasius, Malcom, Maggiore, Paul, Huang, Alex, Blanke, Phillip, Patel, Manesh R., Nørgaard, Bjarne Linde, Fairbairn, Timothy A., Nieman, Koen, Akasaka, Takashi, Berman, Daniel S., Raff, Gilbert L., Hurwitz Koweek, Lynne M., Pontone, Gianluca, Kawasaki, Tomohiro, Rønnow Sand, Niels Peter, Jensen, Jesper M., Amano, Tetsuya, Poon, Michael, Øvrehus, Kristian A., Sonck, Jeroen, Rabbat, Mark G., Mullen, Sarah, De Bruyne, Bernard, Rogers, Campbell, Matsuo, Hitoshi, Bax, Jeroen J., and Leipsic, Jonathon

Published
2021
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158. International Impact of COVID-19 on the Diagnosis of Heart Disease

Author

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

Published
2021
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159. Transcatheter Replacement of Transcatheter Versus Surgically Implanted Aortic Valve Bioprostheses

Author

Landes, Uri, Sathananthan, Janarthanan, Witberg, Guy, De Backer, Ole, Sondergaard, Lars, Abdel-Wahab, Mohamed, Holzhey, David, Kim, Won-Keun, Hamm, Christian, Buzzatti, Nicola, Montorfano, Matteo, Ludwig, Sebastian, Conradi, Lenard, Seiffert, Moritz, Guerrero, Mayra, El Sabbagh, Abdallah, Rodés-Cabau, Josep, Guimaraes, Leonardo, Codner, Pablo, Okuno, Taishi, Pilgrim, Thomas, Fiorina, Claudia, Colombo, Antonio, Mangieri, Antonio, Eltchaninoff, Helene, Nombela-Franco, Luis, Van Wiechen, Maarten P.H., Van Mieghem, Nicolas M., Tchétché, Didier, Schoels, Wolfgang H., Kullmer, Matthias, Tamburino, Corrado, Sinning, Jan-Malte, Al-Kassou, Baravan, Perlman, Gidon Y., Danenberg, Haim, Ielasi, Alfonso, Fraccaro, Chiara, Tarantini, Giuseppe, De Marco, Federico, Redwood, Simon R., Lisko, John C., Babaliaros, Vasilis C., Laine, Mika, Nerla, Roberto, Castriota, Fausto, Finkelstein, Ariel, Loewenstein, Itamar, Eitan, Amnon, Jaffe, Ronen, Ruile, Philipp, Neumann, Franz J., Piazza, Nicolo, Alosaimi, Hind, Sievert, Horst, Sievert, Kolja, Russo, Marco, Andreas, Martin, Bunc, Matjaz, Latib, Azeem, Godfrey, Rebecca, Hildick-Smith, David, Chuang, Ming-Yu A., Blanke, Philipp, Leipsic, Jonathon, Wood, David A., Nazif, Tamim M., Kodali, Susheel, Barbanti, Marco, Kornowski, Ran, Leon, Martin B., and Webb, John G.

Published
2021
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161. Comparison of Coronary Atherosclerotic Plaque Progression in East Asians and Caucasians by Serial Coronary Computed Tomographic Angiography:A PARADIGM Substudy

Author

Ben Zekry, Sagit, Sreedharan, Subhashaan, Han, Donghee, Sellers, Stephanie, Ahmadi, Amir A., Blanke, Philipp, Hadamitzky, Martin, Kim, Yong-Jin, Conte, Edoardo, Andreini, Daniele, Pontone, Gianluca, Budoff, Matthew J., Gottlieb, Ilan, Lee, Byoung Kwon, Chun, Eun Ju, Cademartiri, Filippo, Maffei, Erica, Marques, Hugo, Shin, Sanghoon, Choi, Jung Hyun, Virmani, Renu, Samady, Habib, Stone, Peter H., Berman, Daniel S., Narula, Jagat, Shaw, Leslee J., Bax, Jeroen J., Leipsic, Jonathon, and Chang, Hyuk-Jae

Published
2021
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162. 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

Choi, Andrew D., Thomas, Dustin M., Lee, James, Abbara, Suhny, Cury, Ricardo C., Leipsic, Jonathon A., Maroules, Christopher, Nagpal, Prashant, Steigner, Michael L., Wang, Dee Dee, Williams, Michelle C., Zeb, Irfan, Villines, Todd C., and Blankstein, Ron

Published
2021
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164. Temporal changes in FFRCT-Guided Management of Coronary Artery Disease – Lessons from the ADVANCE Registry

Author

Nous, Fay., Budde, Ricardo P.J., Fairbairn, Timothy A., Akasaka, Takashi, Nørgaard, Bjarne L., Berman, Daniel S., Raff, Gilbert, Hurwitz-Koweek, Lynne M., Pontone, Gianluca, Kawasaki, Tomohiro, Sand, Niels Peter R., Jensen, Jesper M., Amano, Tetsuya, Poon, Michael, Øvrehus, Kristian A., Sonck, Jeroen, Rabbat, Mark G., Mullen, Sarah, De Bruyne, Bernard, Rogers, Campbell, Matsuo, Hitoshi, Bax, Jeroen J., Leipsic, Jonathon, Patel, Manesh R., and Nieman, Koen

Published
2021
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167. Coronary revascularization vs. medical therapy following coronary-computed tomographic angiography in patients with low-, intermediate- and high-risk coronary artery disease: results from the CONFIRM long-term registry

Author

Schulman-Marcus, Joshua, Lin, Fay Y, Gransar, Heidi, Berman, Daniel, Callister, Tracy, DeLago, Augustin, Hadamitzky, Martin, Hausleiter, Joerg, Al-Mallah, Mouaz, Budoff, Matthew, Kaufmann, Philipp, Achenbach, Stephan, Raff, Gilbert, Chinnaiyan, Kavitha, Cademartiri, Filippo, Maffei, Erica, Villines, Todd, Kim, Yong-Jin, Leipsic, Jonathon, Feuchtner, Gudrun, Rubinshtein, Ronen, Pontone, Gianluca, Andreini, Daniele, Marques, Hugo, Chang, Hyuk-Jae, Chow, Benjamin JW, Cury, Ricardo C, Dunning, Allison, Shaw, Leslee, and Min, James K

Subjects
Heart Disease, Biomedical Imaging, Clinical Research, Cardiovascular, Heart Disease - Coronary Heart Disease, Atherosclerosis, Good Health and Well Being, Age Factors, Aged, Analysis of Variance, Cardiotonic Agents, Cause of Death, Computed Tomography Angiography, Coronary Angiography, Coronary Artery Disease, Female, Humans, Internationality, Kaplan-Meier Estimate, Male, Middle Aged, Multivariate Analysis, Myocardial Revascularization, Odds Ratio, Percutaneous Coronary Intervention, Prognosis, Proportional Hazards Models, Registries, Risk Assessment, Severity of Illness Index, Sex Factors, Survival Analysis, Treatment Outcome, coronary-computed tomographic angiography, CAD, revascularization, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology
Abstract

AimsTo identify the effect of early revascularization on 5-year survival in patients with CAD diagnosed by coronary-computed tomographic angiography (CCTA).Methods and resultsWe examined 5544 stable patients with suspected CAD undergoing CCTA who were followed a median of 5.5 years in a large international registry. Patients were categorized as having low-, intermediate-, or high-risk CAD based on CCTA findings. Two treatment groups were defined: early revascularization within 90 days of CCTA (n = 1171) and medical therapy (n = 4373). To account for the non-randomized referral to revascularization, we developed a propensity score by logistic regression. This score was incorporated into Cox proportional hazard models to calculate the effect of revascularization on all-cause mortality. Death occurred in 363 (6.6%) patients and was more frequent in medical therapy. In multivariable models, when compared with medical therapy, the mortality benefit of revascularization varied significantly over time and by CAD risk (P for interaction 0.04). In high-risk CAD, revascularization was significantly associated with lower mortality at 1 year (hazard ratio [HR] 0.22, 95% confidence interval [CI] 0.11-0.47) and 5 years (HR 0.31, 95% CI 0.18-0.54). For intermediate-risk CAD, revascularization was associated with reduced mortality at 1 year (HR 0.45, 95% CI 0.22-0.93) but not 5 years (HR 0.63, 95% CI 0.33-1.20). For low-risk CAD, there was no survival benefit at either time point.ConclusionsEarly revascularization was associated with reduced 1-year mortality in intermediate- and high-risk CAD detected by CCTA, but this association only persisted for 5-year mortality in high-risk CAD.

Published
2017

168. Relationship of Hypertension to Coronary Atherosclerosis and Cardiac Events in Patients With Coronary Computed Tomographic Angiography

Author

Nakanishi, Rine, Baskaran, Lohendran, Gransar, Heidi, Budoff, Matthew J, Achenbach, Stephan, Al-Mallah, Mouaz, Cademartiri, Filippo, Callister, Tracy Q, Chang, Hyuk-Jae, Chinnaiyan, Kavitha, Chow, Benjamin JW, DeLago, Augustin, Hadamitzky, Martin, Hausleiter, Joerg, Cury, Ricardo, Feuchtner, Gudrun, Kim, Yong-Jin, Leipsic, Jonathon, Kaufmann, Philipp A, Maffei, Erica, Raff, Gilbert, Shaw, Leslee J, Villines, Todd C, Dunning, Allison, Marques, Hugo, Pontone, Gianluca, Andreini, Daniele, Rubinshtein, Ronen, Bax, Jeroen, Jones, Erica, Hindoyan, Niree, Gomez, Millie, Lin, Fay Y, Min, James K, and Berman, Daniel S

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Biomedical Imaging, Atherosclerosis, Heart Disease - Coronary Heart Disease, Heart Disease, Hypertension, Cardiovascular, Clinical Research, 4.1 Discovery and preclinical testing of markers and technologies, 2.1 Biological and endogenous factors, Detection, screening and diagnosis, Aetiology, Aged, Computed Tomography Angiography, Coronary Angiography, Coronary Artery Disease, Female, Humans, International Cooperation, Male, Middle Aged, Myocardial Ischemia, Outcome and Process Assessment, Health Care, Prognosis, Proportional Hazards Models, Prospective Studies, Registries, Risk Assessment, Risk Factors, Severity of Illness Index, angiography, atherosclerosis, coronary artery disease, hypertension, risk factors, Cardiorespiratory Medicine and Haematology, Clinical Sciences, Public Health and Health Services, Cardiovascular System & Hematology, Cardiovascular medicine and haematology, Clinical sciences
Abstract

Hypertension is an atherosclerosis factor and is associated with cardiovascular risk. We investigated the relationship between hypertension and the presence, extent, and severity of coronary atherosclerosis in coronary computed tomographic angiography and cardiac events risk. Of 17 181 patients enrolled in the CONFIRM registry (Coronary CT Angiography Evaluation for Clinical Outcomes: An International Multicenter Registry) who underwent ≥64-detector row coronary computed tomographic angiography, we identified 14 803 patients without known coronary artery disease. Of these, 1434 hypertensive patients were matched to 1434 patients without hypertension. Major adverse cardiac events risk of hypertension and non-hypertensive patients was evaluated with Cox proportional hazards models. The prognostic associations between hypertension and no-hypertension with increasing degree of coronary stenosis severity (nonobstructive or obstructive ≥50%) and extent of coronary artery disease (segment involvement score of 1-5, >5) was also assessed. Hypertension patients less commonly had no coronary atherosclerosis and more commonly had nonobstructive and 1-, 2-, and 3-vessel disease than the no-hypertension group. During a mean follow-up of 5.2±1.2 years, 180 patients experienced cardiac events, with 104 (2.0%) occurring in the hypertension group and 76 (1.5%) occurring in the no-hypertension group (hazard ratios, 1.4; 95% confidence intervals, 1.0-1.9). Compared with no-hypertension patients without coronary atherosclerosis, hypertension patients with no coronary atherosclerosis and obstructive coronary disease tended to have higher risk of cardiac events. Similar trends were observed with respect to extent of coronary artery disease. Compared with no-hypertension patients, hypertensive patients have increased presence, extent, and severity of coronary atherosclerosis and tend to have an increase in major adverse cardiac events.

Published
2017

169. Prognostic Significance of Nonobstructive Left Main Coronary Artery Disease in Women Versus Men: Long-Term Outcomes From the CONFIRM (Coronary CT Angiography Evaluation For Clinical Outcomes: An International Multicenter) Registry.

Author

Xie, Joe X, Eshtehardi, Parham, Varghese, Tina, Goyal, Abhinav, Mehta, Puja K, Kang, William, Leipsic, Jonathon, Ó Hartaigh, Bríain, Bairey Merz, C Noel, Berman, Daniel S, Gransar, Heidi, Budoff, Matthew J, Achenbach, Stephan, Callister, Tracy Q, Marques, Hugo, Rubinshtein, Ronen, Al-Mallah, Mouaz H, Andreini, Daniele, Pontone, Gianluca, Cademartiri, Filippo, Maffei, Erica, Chinnaiyan, Kavitha, Raff, Gilbert, Hadamitzky, Martin, Hausleiter, Joerg, Feuchtner, Gudrun, Kaufmann, Philipp A, Villines, Todd C, Chow, Benjamin JW, Min, James K, and Shaw, Leslee J

Subjects
Coronary Vessels, Humans, Coronary Stenosis, Disease Progression, Coronary Angiography, Prognosis, Myocardial Revascularization, Severity of Illness Index, Registries, Proportional Hazards Models, Risk Assessment, Risk Factors, Retrospective Studies, Predictive Value of Tests, Sex Factors, Time Factors, Aged, Middle Aged, Female, Male, Coronary Artery Disease, Health Status Disparities, Kaplan-Meier Estimate, Computed Tomography Angiography, coronary computed tomographic angiography, incidence, left main, nonobstructive coronary artery disease, sex disparities in coronary heart disease, Patient Safety, Clinical Research, Heart Disease, Atherosclerosis, Biomedical Imaging, Cardiovascular, Heart Disease - Coronary Heart Disease, 4.2 Evaluation of markers and technologies, Cardiovascular System & Hematology, Clinical Sciences
Abstract

BackgroundPatients with obstructive (≥50% stenosis) left main (LM) coronary artery disease (CAD) are at high risk for adverse events; prior studies have also documented worse outcomes among women than men with severe multivessel/LM CAD. However, the prognostic significance of nonobstructive (1%-49% stenosis) LM CAD, including sex-specific differences, has not been previously examined.Methods and resultsIn the long-term CONFIRM (Coronary CT Angiography Evaluation For Clinical Outcomes: An International Multicenter) registry, patients underwent elective coronary computed tomographic angiography for suspected CAD and were followed for 5 years. After excluding those with obstructive LM CAD, 5166 patients were categorized as having normal LM or nonobstructive LM (18% of cohort). Cumulative 5-year incidence of death, myocardial infarction, or revascularization was higher among patients with nonobstructive LM than normal LM in both women and men: women (34.3% versus 15.4%; P

Published
2017

170. Prognostic implications of coronary artery calcium in the absence of coronary artery luminal narrowing

Author

Cho, Iksung, Hartaigh, Bríain Ó, Gransar, Heidi, Valenti, Valentina, Lin, Fay Y, Achenbach, Stephan, Berman, Daniel S, Budoff, Matthew J, Callister, Tracy Q, Al-Mallah, Mouaz H, Cademartiri, Filippo, Chinnaiyan, Kavitha, Chow, Benjamin JW, Dunning, Allison M, DeLago, Augustin, Villines, Todd C, Hadamitzky, Martin, Hausleiter, Joerg, Leipsic, Jonathon, Shaw, Leslee J, Kaufmann, Philipp A, Cury, Ricardo C, Feuchtner, Gudrun, Kim, Yong-Jin, Maffei, Erica, Raff, Gilbert, Pontone, Gianluca, Andreini, Daniele, Chang, Hyuk-Jae, and Min, James K

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Heart Disease - Coronary Heart Disease, Heart Disease, Prevention, Clinical Research, Atherosclerosis, Cardiovascular, Detection, screening and diagnosis, 4.2 Evaluation of markers and technologies, Good Health and Well Being, Adult, Aged, Asymptomatic Diseases, Computed Tomography Angiography, Coronary Angiography, Coronary Artery Disease, Coronary Stenosis, Coronary Vessels, Europe, Female, Humans, Israel, Kaplan-Meier Estimate, Male, Middle Aged, North America, Predictive Value of Tests, Prevalence, Prognosis, Proportional Hazards Models, Prospective Studies, Registries, Risk Factors, Time Factors, Vascular Calcification, Coronary computed tomographic, angiography, Coronary artery calcium scoring, Coronary artery disease, Coronary computed tomographic angiography, Cardiorespiratory Medicine and Haematology, Clinical Sciences, Cardiovascular System & Hematology, Cardiovascular medicine and haematology, Clinical sciences
Abstract

Background and aimsCoronary artery calcium (CAC) scoring is a predictor of future adverse clinical events, and a surrogate measure of overall coronary artery plaque burden. Coronary computed tomographic angiography (CCTA) is a contrast-enhanced method that allows for visualization of plaque as well as whether that plaque causes luminal narrowing. To date, the prognosis of individuals with CAC but without stenosis has not been reported. We explored the prevalence of CAC>0 and its prognostic utility for future mortality for patients without luminal narrowing by CCTA.MethodsFrom 17 sites in 9 countries, we identified patients without known coronary artery disease, who underwent CAC scoring and CCTA, and were followed for >3 years. CCTA was graded for % stenosis according to a modified American Heart Association 16-segment model. We calculated hazard ratios (HR) with 95% confidence intervals (95% CI) for incident mortality and compared risk of death for patients as a function of presence or absence of CAC and presence or absence of luminal narrowing by CCTA.ResultsAmong 6656 patients who underwent CCTA and CAC scoring, 399 patients (6.0%) had no coronary luminal narrowing but CAC>0. During a median follow-up of 5.1 years (IQR: 3.9-5.9 years), 456 deaths occurred. Compared to individuals without luminal narrowing or CAC, individuals without luminal narrowing but CAC>0 were older, more likely to be male and had higher rates of diabetes, hypertension, and dyslipidemia. Individuals without luminal narrowing but CAC experienced a 2-fold increased risk of mortality, with increasing risk of mortality with higher CAC score. Following adjustment, incident death persisted (HR, 1.8; 95% CI, 1.1-2.9, p = 0.02) among patients without luminal narrowing but with CAC>0 compared with patients whose CACS = 0. Individuals without luminal narrowing but CAC ≥100 had mortality risks similar to individuals with non-obstructive CAD (0

Published
2017

171. Improved 5-year prediction of all-cause mortality by coronary CT angiography applying the CONFIRM score

Author

Deseive, Simon, Shaw, Leslee J, Min, James K, Achenbach, Stephan, Andreini, Daniele, Al-Mallah, Mouaz H, Berman, Daniel S, Budoff, Matthew J, Callister, Tracy Q, Cademartiri, Filippo, Chang, Hyuk-Jae, Chinnaiyan, Kavitha, Chow, Benjamin JW, Cury, Ricardo C, DeLago, Augustin, Dunning, Allison M, Feuchtner, Gudrun, Kaufmann, Philipp A, Kim, Yong-Jin, Leipsic, Jonathon, Marques, Hugo, Maffei, Erica, Pontone, Gianluca, Raff, Gilbert, Rubinshtein, Ronin, Villines, Todd C, Hausleiter, Jörg, and Hadamitzky, Martin

Subjects
Cardiovascular, Heart Disease, Clinical Research, Patient Safety, 4.2 Evaluation of markers and technologies, Detection, screening and diagnosis, Good Health and Well Being, Aged, Analysis of Variance, Cause of Death, Cohort Studies, Computed Tomography Angiography, Coronary Angiography, Coronary Artery Disease, Disease-Free Survival, Female, Humans, Internationality, Kaplan-Meier Estimate, Male, Middle Aged, Multivariate Analysis, Predictive Value of Tests, Proportional Hazards Models, Quality Improvement, ROC Curve, Registries, Risk Assessment, Severity of Illness Index, Survival Analysis, Time Factors, Cardiac computer tomographic angiography, Prognosis, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology
Abstract

AimsTo investigate the long-term performance of the CONFIRM score for prediction of all-cause mortality in a large patient cohort undergoing coronary computed tomography angiography (CCTA).Methods and resultsPatients with a 5-year follow-up from the international multicentre CONFIRM registry were included. The primary endpoint was all-cause mortality. The predictive value of the CONFIRM score over clinical risk scores (Morise, Framingham, and NCEP ATP III score) was studied in the entire patient population as well as in subgroups. Improvement in risk prediction and patient reclassification were assessed using categorical net reclassification index (NRI) and integrated discrimination improvement (IDI). During a median follow-up period of 5.3 years, 982 (6.5%) of 15 219 patients died. The CONFIRM score outperformed the prognostic value of the studied three clinical risk scores (c-indices: CONFIRM score 0.696, NCEP ATP III score 0.675, Framingham score 0.610, Morise score 0.606; c-index for improvement CONFIRM score vs. NCEP ATP III score 0.650, P < 0.0001). Application of the CONFIRM score allowed reclassification of 34% of patients when compared with the NCEP ATP III score, which was the best clinical risk score. Reclassification was significant as revealed by categorical NRI (0.06 with 95% CI 0.02 and 0.10, P = 0.005) and IDI (0.013 with 95% CI 0.01 and 0.015, P < 0.001). Subgroup analysis revealed a comparable performance in a variety of patient subgroups.ConclusionsThe CONFIRM score permits a significantly improved prediction of mortality over clinical risk scores for >5 years after CCTA. These findings are consistent in a large variety of patient subgroups.

Published
2017

172. Predictive Value of Age- and Sex-Specific Nomograms of Global Plaque Burden on Coronary Computed Tomography Angiography for Major Cardiac Events

Author

Naoum, Christopher, Berman, Daniel S, Ahmadi, Amir, Blanke, Philipp, Gransar, Heidi, Narula, Jagat, Shaw, Leslee J, Kritharides, Leonard, Achenbach, Stephan, Al-Mallah, Mouaz H, Andreini, Daniele, Budoff, Matthew J, Cademartiri, Filippo, Callister, Tracy Q, Chang, Hyuk-Jae, Chinnaiyan, Kavitha, Chow, Benjamin, Cury, Ricardo C, DeLago, Augustin, Dunning, Allison, Feuchtner, Gudrun, Hadamitzky, Martin, Hausleiter, Joerg, Kaufmann, Philipp A, Kim, Yong-Jin, Maffei, Erica, Marquez, Hugo, Pontone, Gianluca, Raff, Gilbert, Rubinshtein, Ronen, Villines, Todd C, Min, James, and Leipsic, Jonathon

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Heart Disease - Coronary Heart Disease, Heart Disease, Atherosclerosis, Biomedical Imaging, Cardiovascular, 4.2 Evaluation of markers and technologies, Detection, screening and diagnosis, Good Health and Well Being, Adult, Age Factors, Aged, Canada, Computed Tomography Angiography, Coronary Angiography, Coronary Artery Disease, Coronary Vessels, Europe, Female, Humans, Male, Middle Aged, Multidetector Computed Tomography, Nomograms, Plaque, Atherosclerotic, Predictive Value of Tests, Prevalence, Prognosis, Prospective Studies, Registries, Reproducibility of Results, Republic of Korea, Risk Factors, Severity of Illness Index, Sex Factors, United States, computed tomography angiography, coronary artery disease, coronary angiography, epidemiology, nomograms, Cardiovascular System & Hematology, Cardiovascular medicine and haematology, Clinical sciences
Abstract

Age-adjusted coronary artery disease (CAD) burden identified on coronary computed tomography angiography predicts major adverse cardiovascular event (MACE) risk; however, it seldom contributes to clinical decision making because of a lack of nomographic data. We aimed to develop clinically pragmatic age- and sex-specific nomograms of CAD burden using coronary computed tomography angiography and to validate their prognostic use. Patients prospectively enrolled in phase I of the CONFIRM registry (Coronary CT Angiography Evaluation for Clinical Outcomes) were included (derivation cohort: n=21,132; 46% female) to develop CAD nomograms based on age-sex percentiles of segment involvement score (SIS) at each year of life (40-79 years). The relationship between SIS age-sex percentiles (SIS%) and MACE (all-cause death, myocardial infarction, unstable angina, and late revascularization) was tested in a nonoverlapping validation cohort (phase II, CONFIRM registry; n=3030, 44% female) by stratifying patients into 3 SIS% groups (≤50th, 51-75th, and >75th) and comparing annualized MACE rates and time to MACE using multivariable Cox proportional hazards models adjusting for Framingham risk and chest pain typicality. Age-sex percentiles were well fitted to second-order polynomial curves (men: R2=0.86±0.12; women: R2=0.86±0.14). Using the nomograms, there were 1576, 965, and 489 patients, respectively, in the ≤50th, 51-75th, and >75th SIS% groups. Annualized event rates were higher among patients with greater CAD burden (2.1% [95% confidence interval: 1.7%-2.7%], 3.9% [95% confidence interval: 3.0%-5.1%], and 7.2% [95% confidence interval: 5.4%-9.6%] in ≤50th, 51-75th, and >75th SIS% groups, respectively; P75th SIS% group; P

Published
2017

173. Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis

Author

Motwani, Manish, Dey, Damini, Berman, Daniel S, Germano, Guido, Achenbach, Stephan, Al-Mallah, Mouaz H, Andreini, Daniele, Budoff, Matthew J, Cademartiri, Filippo, Callister, Tracy Q, Chang, Hyuk-Jae, Chinnaiyan, Kavitha, Chow, Benjamin JW, Cury, Ricardo C, Delago, Augustin, Gomez, Millie, Gransar, Heidi, Hadamitzky, Martin, Hausleiter, Joerg, Hindoyan, Niree, Feuchtner, Gudrun, Kaufmann, Philipp A, Kim, Yong-Jin, Leipsic, Jonathon, Lin, Fay Y, Maffei, Erica, Marques, Hugo, Pontone, Gianluca, Raff, Gilbert, Rubinshtein, Ronen, Shaw, Leslee J, Stehli, Julia, Villines, Todd C, Dunning, Allison, Min, James K, and Slomka, Piotr J

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Heart Disease, Heart Disease - Coronary Heart Disease, Cardiovascular, Clinical Research, Prevention, Biomedical Imaging, 4.2 Evaluation of markers and technologies, Detection, screening and diagnosis, Good Health and Well Being, Cause of Death, Computed Tomography Angiography, Coronary Artery Disease, Feasibility Studies, Female, Humans, Machine Learning, Male, Middle Aged, Prospective Studies, Registries, Risk Factors, Coronary artery disease, Coronary CT angiography, Prognosis, Machine learning, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology, Clinical sciences
Abstract

AimsTraditional prognostic risk assessment in patients undergoing non-invasive imaging is based upon a limited selection of clinical and imaging findings. Machine learning (ML) can consider a greater number and complexity of variables. Therefore, we investigated the feasibility and accuracy of ML to predict 5-year all-cause mortality (ACM) in patients undergoing coronary computed tomographic angiography (CCTA), and compared the performance to existing clinical or CCTA metrics.Methods and resultsThe analysis included 10 030 patients with suspected coronary artery disease and 5-year follow-up from the COronary CT Angiography EvaluatioN For Clinical Outcomes: An InteRnational Multicenter registry. All patients underwent CCTA as their standard of care. Twenty-five clinical and 44 CCTA parameters were evaluated, including segment stenosis score (SSS), segment involvement score (SIS), modified Duke index (DI), number of segments with non-calcified, mixed or calcified plaques, age, sex, gender, standard cardiovascular risk factors, and Framingham risk score (FRS). Machine learning involved automated feature selection by information gain ranking, model building with a boosted ensemble algorithm, and 10-fold stratified cross-validation. Seven hundred and forty-five patients died during 5-year follow-up. Machine learning exhibited a higher area-under-curve compared with the FRS or CCTA severity scores alone (SSS, SIS, DI) for predicting all-cause mortality (ML: 0.79 vs. FRS: 0.61, SSS: 0.64, SIS: 0.64, DI: 0.62; P< 0.001).ConclusionsMachine learning combining clinical and CCTA data was found to predict 5-year ACM significantly better than existing clinical or CCTA metrics alone.

Published
2017

174. Abnormal Exertional Breathlessness on Cardiopulmonary Cycle Exercise Testing in Relation to Self-Reported and Physiologic Responses in Chronic Airflow Limitation

Author

Ekström, Magnus, Li, Pei Zhi, Lewthwaite, Hayley, Bourbeau, Jean, Tan, Wan C., Jensen, Dennis, Bourbeau, Jean, Tan, Wan C., FitzGerald, J. Mark, Sin, Don D., Marciniuk, Darcy D., O’Donnell, Denis E., Hernandez, Paul, Chapman, Kenneth R., Walker, Brandie, Aaron, Shawn, Maltais, François, Samet, Jonathon, Puhan, Milo, Hamid, Qutayba, Hogg, James C., Bourbeau, Jean, Doiron, Dany, Mancino, Palmina, Li, Pei Zhi, Jensen, Dennis, Baglole, Carolyn, Fortier, Yvan, Tan, Wan C., Sin, Don, Yang, Julia, Road, Jeremy, Comeau, Joe, Png, Adrian, Johnson, Kyle, Coxson, Harvey, Leipsic, Jonathon, Hague, Cameron, Kirby, Miranda, Sadatsafavi, Mohsen, To, Teresa, Gershon, Andrea, Tan, Wan C., Coxson, Harvey, Tan, Wan C., Coxson, Harvey, Bourbeau, Jean, Li, Pei-Zhi, Song, Zhi, Benedetti, Andrea, Jensen, Dennis, Fortier, Yvan, Kirby, Miranda, Tan, Wan C., Lo, Christine, Cheng, Sarah, Un, Elena, Fung, Cynthia, Wang, Wen Tiang, Zheng, Liyun, Faroon, Faize, Radivojevic, Olga, Chung, Sally, Zou, Carl, Bourbeau, Jean, Mancino, Palmina, Baril, Jacinthe, Labonte, Laura, Chapman, Kenneth, McClean, Patricia, Audisho, Nadeen, Walker, Brandie, Dumonceaux, Curtis, Machado, Lisette, Hernandez, Paul, Fulton, Scott, Osterling, Kristen, Wigerius, Denise, Aaron, Shawn, Vandemheen, Kathy, Pratt, Gay, Bergeron, Amanda, O’Donnell, Denis, McNeil, Matthew, Whelan, Kate, Maltais, François, Brouillard, Cynthia, Marciniuk, Darcy, Clemens, Ron, Baran, Janet, and Leuschen, Candice

Abstract

Exertional breathlessness is a cardinal symptom of cardiorespiratory disease.

Published
2024
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175. Rationale and design of the Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography IMaging (PARADIGM) registry: A comprehensive exploration of plaque progression and its impact on clinical outcomes from a multicenter serial coronary computed tomographic angiography study

Author

Lee, Sang-Eun, Chang, Hyuk-Jae, Rizvi, Asim, Hadamitzky, Martin, Kim, Yong-Jin, Conte, Edoardo, Andreini, Daniele, Pontone, Gianluca, Volpato, Valentina, Budoff, Matthew J, Gottlieb, Ilan, Lee, Byoung Kwon, Chun, Eun Ju, Cademartiri, Filippo, Maffei, Erica, Marques, Hugo, Leipsic, Jonathon A, Shin, Sanghoon, Choi, Jung Hyun, Chung, Namsik, and Min, James K

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Heart Disease - Coronary Heart Disease, Cardiovascular, Heart Disease, Clinical Research, Biomedical Imaging, Patient Safety, Atherosclerosis, 4.2 Evaluation of markers and technologies, Detection, screening and diagnosis, Adult, Aged, Computed Tomography Angiography, Coronary Artery Disease, Coronary Vessels, Disease Progression, Female, Humans, Male, Middle Aged, Plaque, Atherosclerotic, Predictive Value of Tests, Prognosis, Registries, Risk Assessment, Cardiorespiratory Medicine and Haematology, Public Health and Health Services, Cardiovascular System & Hematology, Cardiovascular medicine and haematology
Abstract

BackgroundThe natural history of coronary artery disease (CAD) in patients with low-to-intermediate risk is not well characterized. Although earlier invasive serial studies have documented the progression of atherosclerotic burden, most were focused on high-risk patients only. The PARADIGM registry is a large, prospective, multinational dynamic observational registry of patients undergoing serial coronary computed tomographic angiography (CCTA). The primary aim of PARADIGM is to characterize the natural history of CAD in relation to clinical and laboratory data.DesignThe PARADIGM registry (ClinicalTrials.govNCT02803411) comprises ≥2,000 consecutive patients across 9 cluster sites in 7 countries. PARADIGM sites were chosen on the basis of adequate CCTA volume, site CCTA proficiency, local demographic characteristics, and medical facilities to ensure a broad-based sample of patients. Patients referred for clinically indicated CCTA will be followed up and enrolled if they had a second CCTA scan. Patients will also be followed up beyond serial CCTA performance to identify adverse CAD events that include cardiac and noncardiac death, myocardial infarction, unstable angina, target vessel revascularization, and CAD-related hospitalization.SummaryThe results derived from the PARADIGM registry are anticipated to add incremental insight into the changes in CCTA findings in accordance with the progression or regression of CAD that confer prognostic value beyond demographic and clinical characteristics.

Published
2016

176. CAD-RADS™: Coronary Artery Disease - Reporting and Data System: An Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Radiology (ACR) and the North American Society for Cardiovascular Imaging (NASCI). Endorsed by the American College of Cardiology.

Author

Cury, Ricardo C, Abbara, Suhny, Achenbach, Stephan, Agatston, Arthur, Berman, Daniel S, Budoff, Matthew J, Dill, Karin E, Jacobs, Jill E, Maroules, Christopher D, Rubin, Geoffrey D, Rybicki, Frank J, Schoepf, U Joseph, Shaw, Leslee J, Stillman, Arthur E, White, Charles S, Woodard, Pamela K, and Leipsic, Jonathon A

Subjects
Coronary Angiography, Cardiology, Radiology, Documentation, North America, United States, Coronary Artery Disease, Practice Guidelines as Topic, Electronic Health Records, Computed Tomography Angiography, CAD-RADS, Coronary artery disease, coronary CTA, report standardization terminology, reporting and data system, stenosis severity, Atherosclerosis, Heart Disease - Coronary Heart Disease, Cardiovascular, Biomedical Imaging, Heart Disease, 4.2 Evaluation of markers and technologies, Detection, screening and diagnosis, Clinical Sciences, Public Health and Health Services, Nuclear Medicine & Medical Imaging
Abstract

The intent of CAD-RADS - Coronary Artery Disease Reporting and Data System is to create a standardized method to communicate findings of coronary CT angiography (coronary CTA) in order to facilitate decision-making regarding further patient management. The suggested CAD-RADS classification is applied on a per-patient basis and represents the highest-grade coronary artery lesion documented by coronary CTA. It ranges from CAD-RADS 0 (Zero) for the complete absence of stenosis and plaque to CAD-RADS 5 for the presence of at least one totally occluded coronary artery and should always be interpreted in conjunction with the impression found in the report. Specific recommendations are provided for further management of patients with stable or acute chest pain based on the CAD-RADS classification. The main goal of CAD-RADS is to standardize reporting of coronary CTA results and to facilitate communication of test results to referring physicians along with suggestions for subsequent patient management. In addition, CAD-RADS will provide a framework of standardization that may benefit education, research, peer-review and quality assurance with the potential to ultimately result in improved quality of care.

Published
2016

177. Long-Term Prognostic Utility of Coronary CT Angiography in Stable Patients With Diabetes Mellitus

Author

Blanke, Philipp, Naoum, Christopher, Ahmadi, Amir, Cheruvu, Chaitu, Soon, Jeanette, Arepalli, Chesnal, Gransar, Heidi, Achenbach, Stephan, Berman, Daniel S, Budoff, Matthew J, Callister, Tracy Q, Al-Mallah, Mouaz H, Cademartiri, Filippo, Chinnaiyan, Kavitha, Rubinshtein, Ronen, Marquez, Hugo, DeLago, Augustin, Villines, Todd C, Hadamitzky, Martin, Hausleiter, Joerg, Shaw, Leslee J, Kaufmann, Philipp A, Cury, Ricardo C, Feuchtner, Gudrun, Kim, Yong-Jin, Maffei, Erica, Raff, Gilbert, Pontone, Gianluca, Andreini, Daniele, Chang, Hyuk-Jae, Chow, Benjamin W, Min, James, and Leipsic, Jonathon

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Cardiovascular, Biomedical Imaging, Heart Disease - Coronary Heart Disease, Atherosclerosis, Heart Disease, Clinical Research, Diabetes, Detection, screening and diagnosis, 4.2 Evaluation of markers and technologies, Metabolic and endocrine, Good Health and Well Being, Aged, Computed Tomography Angiography, Coronary Angiography, Coronary Artery Disease, Coronary Stenosis, Diabetes Mellitus, Female, Humans, Kaplan-Meier Estimate, Male, Middle Aged, Multidetector Computed Tomography, Multivariate Analysis, Predictive Value of Tests, Prevalence, Prognosis, Propensity Score, Proportional Hazards Models, Prospective Studies, Registries, Risk Factors, Severity of Illness Index, Time Factors, coronary CT angiography, diabetes mellitus, prognosis, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology, Clinical sciences
Abstract

ObjectivesThe goal of this study was to determine the long-term prognostic value of coronary computed tomography angiography (CTA) among patients with diabetes mellitus (DM) compared with nondiabetic subjects.BackgroundThe long-term prognostic value of coronary CTA in patients with DM is not well established.MethodsPatients enrolled in the CONFIRM (Coronary CT Angiography Evaluation for Clinical Outcomes: An International Multicenter) registry with 5-year follow-up data were identified. The extent and severity of coronary artery disease (CAD) were analyzed at baseline coronary CTA and in relation to outcomes between diabetic and nondiabetic patients. CAD according to coronary CTA was defined as none (0% stenosis), nonobstructive (1% to 49% stenosis), or obstructive (≥50% stenosis). Time to death (and in a subgroup, time to major adverse cardiovascular event) was estimated by using multivariable Cox proportional hazards models.ResultsA total of 1,823 patients were identified as having DM with 5-year clinical follow-up and were propensity-matched to 1,823 patients without DM (mean age 61.8 ± 10.9 years; 54.4% male). Patients with DM did not exhibit a heightened risk of death compared with the propensity-matched nondiabetic subjects in the absence of CAD on coronary CTA (risk-adjusted hazard ratio [HR] of DM: 1.32; 95% confidence interval [CI]: 0.78 to 2.24; p = 0.296). Patients with DM were at increased risk of dying compared with nondiabetic subjects in the setting of nonobstructive CAD (in the propensity-matched cohort: HR, 2.10; 95% CI: 1.43 to 3.09; p < 0.001) with a mortality risk greater than nondiabetic subjects with obstructive disease (p < 0.001). In a risk-adjusted hazard analysis among patients with DM, both per-patient obstructive CAD and nonobstructive CAD conferred an increase in all-cause mortality risk compared with patients without atherosclerosis on coronary CTA (nonobstructive disease-HR: 2.07; 95% CI: 1.33 to 3.24; p = 0.001; obstructive disease-HR: 2.22; 95% CI: 1.47 to 3.36; p < 0.001).ConclusionsAmong patients with DM, nonobstructive and obstructive CAD according to coronary CTA were associated with higher rates of all-cause mortality and major adverse cardiovascular events at 5 years, and this risk was significantly higher than in nondiabetic subjects. Importantly, patients with DM without CAD according to coronary CTA were at a risk comparable to that of nondiabetic subjects.

Published
2016

178. Coronary Artery Disease - Reporting and Data System (CAD-RADS) An Expert Consensus Document of SCCT, ACR and NASCI: Endorsed by the ACC

Author

Cury, Ricardo C, Abbara, Suhny, Achenbach, Stephan, Agatston, Arthur, Berman, Daniel S, Budoff, Matthew J, Dill, Karen E, Jacobs, Jill E, Maroules, Christopher D, Rubin, Geoffrey D, Rybicki, Frank J, Schoepf, U Joseph, Shaw, Leslee J, Stillman, Arthur E, White, Charles S, Woodard, Pamela K, and Leipsic, Jonathon A

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Clinical Sciences, Cardiovascular, Heart Disease - Coronary Heart Disease, Atherosclerosis, Biomedical Imaging, Heart Disease, 7.3 Management and decision making, Management of diseases and conditions, Detection, screening and diagnosis, 4.2 Evaluation of markers and technologies, Cardiology, Clinical Decision-Making, Computed Tomography Angiography, Consensus, Coronary Angiography, Coronary Artery Disease, Coronary Vessels, Data Collection, Documentation, Electronic Health Records, Forms and Records Control, Humans, Information Storage and Retrieval, Predictive Value of Tests, Prognosis, Severity of Illness Index, Terminology as Topic, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology, Clinical sciences
Abstract

The intent of CAD-RADS - Coronary Artery Disease Reporting and Data System is to create a standardized method to communicate findings of coronary CT angiography (coronary CTA) in order to facilitate decision-making regarding further patient management. The suggested CAD-RADS classification is applied on a per-patient basis and represents the highest-grade coronary artery lesion documented by coronary CTA. It ranges from CAD-RADS 0 (Zero) for the complete absence of stenosis and plaque to CAD-RADS 5 for the presence of at least one totally occluded coronary artery and should always be interpreted in conjunction with the impression found in the report. Specific recommendations are provided for further management of patients with stable or acute chest pain based on the CAD-RADS classification. The main goal of CAD-RADS is to standardize reporting of coronary CTA results and to facilitate communication of test results to referring physicians along with suggestions for subsequent patient management. In addition, CAD-RADS will provide a framework of standardization that may benefit education, research, peer-review and quality assurance with the potential to ultimately result in improved quality of care.

Published
2016

181. Optimal Fluoroscopic Projections of Coronary Ostia and Bifurcations Defined by Computed Tomographic Coronary Angiography

Author

Kočka, Viktor, Thériault-Lauzier, Pascal, Xiong, Tian-Yuan, Ben-Shoshan, Jeremy, Petr, Róbert, Laboš, Marek, Buithieu, Jean, Mousavi, Negareh, Pilgrim, Thomas, Praz, Fabien, Overtchouk, Pavel, Beaudry, Jean-Pierre, Spaziano, Marco, Pelletier, Jean-Philippe, Martucci, Giuseppe, Dandona, Sonny, Rinfret, Stéphane, Windecker, Stephan, Leipsic, Jonathon, and Piazza, Nicolo

Published
2020
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183. Coronary ostial eccentricity in severe aortic stenosis: Guidance for BASILICA transcatheter leaflet laceration

Author

Komatsu, Ikki, Leipsic, Jonathon, Webb, John G., Blanke, Philipp, Mackensen, G. Burkhard, Don, Creighton W., McCabe, James M., Rumer, Christopher, Tan, Christina W., Levin, Dmitry B., Ramos, Mario, Aldea, Gabriel S., Reisman, Mark, Wijeysundera, Harindra C., Radhakrishnan, Sam, Sathananthan, Janarthanan, Piazza, Nicolo, Kornowski, Ran, and Dvir, Danny

Published
2020
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188. Prognostic significance of subtle coronary calcification in patients with zero coronary artery calcium score: From the CONFIRM registry

Author

Han, Donghee, Klein, Eyal, Friedman, John, Gransar, Heidi, Achenbach, Stephan, Al-Mallah, Mouaz H., Budoff, Matthew J., Cademartiri, Filippo, Maffei, Erica, Callister, Tracy Q., Chinnaiyan, Kavitha, Chow, Benjamin J.W., DeLago, Augustin, Hadamitzky, Martin, Hausleiter, Joerg, Kaufmann, Philipp A., Villines, Todd C., Kim, Yong-Jin, Leipsic, Jonathon, Feuchtner, Gudrun, Cury, Ricardo C., Pontone, Gianluca, Andreini, Daniele, Marques, Hugo, Rubinshtein, Ronen, Chang, Hyuk-Jae, Lin, Fay Y., Shaw, Leslee J., Min, James K., and Berman, Daniel S.

Published
2020
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189. Coronary bypass surgery guided by computed tomography in a low-risk population.

Author

Serruys, Patrick W, Kageyama, Shigetaka, Pompilio, Giulio, Andreini, Daniele, Pontone, Gianluca, Mushtaq, Saima, Meir, Mark La, Mey, Johan De, Tanaka, Kaoru, Doenst, Torsten, Teichgräber, Ulf, Schneider, Ulrich, Puskas, John D, Narula, Jagat, Gupta, Himanshu, Agarwal, Vikram, Leipsic, Jonathon, Masuda, Shinichiro, Kotoku, Nozomi, and Tsai, Tsung-Ying

Subjects
CORONARY artery bypass, COMPUTED tomography, CORONARY circulation, THORACIC surgery, CORONARY angiography
Abstract

Background and Aims In patients with three-vessel disease and/or left main disease, selecting revascularization strategy based on coronary computed tomography angiography (CCTA) has a high level of virtual agreement with treatment decisions based on invasive coronary angiography (ICA). Methods In this study, coronary artery bypass grafting (CABG) procedures were planned based on CCTA without knowledge of ICA. The CABG strategy was recommended by a central core laboratory assessing the anatomy and functionality of the coronary circulation. The primary feasibility endpoint was the percentage of operations performed without access to the ICA. The primary safety endpoint was graft patency on 30-day follow-up CCTA. Secondary endpoints included topographical adequacy of grafting, major adverse cardiac and cerebrovascular (MACCE), and major bleeding events at 30 days. The study was considered positive if the lower boundary of confidence intervals (CI) for feasibility was ≥75% (NCT04142021). Results The study enrolled 114 patients with a mean (standard deviation) anatomical SYNTAX score and Society of Thoracic Surgery score of 43.6 (15.3) and 0.81 (0.63), respectively. Unblinding ICA was required in one case yielding a feasibility of 99.1% (95% CI 95.2%–100%). The concordance and agreement in revascularization planning between the ICA- and CCTA-Heart Teams was 82.9% with a moderate kappa of 0.58 (95% CI 0.50–0.66) and between the CCTA-Heart Team and actual treatment was 83.7% with a substantial kappa of 0.61 (95% CI 0.53–0.68). The 30-day follow-up CCTA in 102 patients (91.9%) showed an anastomosis patency rate of 92.6%, whilst MACCE was 7.2% and major bleeding 2.7%. Conclusions CABG guided by CCTA is feasible and has an acceptable safety profile in a selected population of complex coronary artery disease. [ABSTRACT FROM AUTHOR]

Published
2024
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190. Impact of coronary CT image quality on the accuracy of the FFRCT Planner.

Author

Andreini, Daniele, Belmonte, Marta, Penicka, Martin, Van Hoe, Lieven, Mileva, Niya, Paolisso, Pasquale, Nagumo, Sakura, Nørgaard, Bjarne L., Ko, Brian, Otake, Hiromasa, Koo, Bon-Kwon, Jensen, Jesper Møller, Mizukami, Takuya, Munhoz, Daniel, Updegrove, Adam, Taylor, Charles, Leipsic, Jonathon, Sonck, Jeroen, De Bruyne, Bernard, and Collet, Carlos

Subjects
COMPUTED tomography, PERCUTANEOUS coronary intervention, CORONARY angiography, PLANNERS, LIKERT scale
Abstract

Objective: To assess the accuracy of a virtual stenting tool based on coronary CT angiography (CCTA) and fractional flow reserve (FFR) derived from CCTA (FFRCT Planner) across different levels of image quality. Materials and methods: Prospective, multicenter, single-arm study of patients with chronic coronary syndromes and lesions with FFR ≤ 0.80. All patients underwent CCTA performed with recent-generation scanners. CCTA image quality was adjudicated using the four-point Likert scale at a per-vessel level by an independent committee blinded to the FFRCT Planner. Patient- and technical-related factors that could affect the FFRCT Planner accuracy were evaluated. The FFRCT Planner was applied mirroring percutaneous coronary intervention (PCI) to determine the agreement with invasively measured post-PCI FFR. Results: Overall, 120 patients (123 vessels) were included. Invasive post-PCI FFR was 0.88 ± 0.06 and Planner FFRCT was 0.86 ± 0.06 (mean difference 0.02 FFR units, the lower limit of agreement (LLA) − 0.12, upper limit of agreement (ULA) 0.15). CCTA image quality was assessed as excellent (Likert score 4) in 48.3%, good (Likert score 3) in 45%, and sufficient (Likert score 2) in 6.7% of patients. The FFRCT Planner was accurate across different levels of image quality with a mean difference between FFRCT Planner and invasive post-PCI FFR of 0.02 ± 0.07 in Likert score 4, 0.02 ± 0.07 in Likert score 3 and 0.03 ± 0.08 in Likert score 2, p = 0.695. Nitrate dose ≥ 0.8mg was the only independent factor associated with the accuracy of the FFRCT Planner (95%CI − 0.06 to − 0.001, p = 0.040). Conclusion: The FFRCT Planner was accurate in predicting post-PCI FFR independent of CCTA image quality. Clinical relevance statement: Being accurate in predicting post-PCI FFR across a wide spectrum of CT image quality, the FFRCT Planner could potentially enhance and guide the invasive treatment. Adequate vasodilation during CT acquisition is relevant to improve the accuracy of the FFRCT Planner. Key Points: • The fractional flow reserve derived from coronary CT angiography (FFRCT) Planner is a novel tool able to accurately predict fractional flow reserve after percutaneous coronary intervention. • The accuracy of the FFRCT Planner was confirmed across a wide spectrum of CT image quality. Nitrates dose at CT acquisition was the only independent predictor of its accuracy. • The FFRCT Planner could potentially enhance and guide the invasive treatment. [ABSTRACT FROM AUTHOR]

Published
2024
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192. Per-lesion versus per-patient analysis of coronary artery disease in predicting the development of obstructive lesions: the Progression of AtheRosclerotic PlAque DetermIned by Computed TmoGraphic Angiography Imaging (PARADIGM) study

Author

Lee, Sang-Eun, Sung, Ji Min, Andreini, Daniele, Al-Mallah, Mouaz H., Budoff, Matthew J., Cademartiri, Filippo, Chinnaiyan, Kavitha, Choi, Jung Hyun, Chun, Eun Ju, Conte, Edoardo, Gottlieb, Ilan, Hadamitzky, Martin, Kim, Yong Jin, Lee, Byoung Kwon, Leipsic, Jonathon A., Maffei, Erica, Marques, Hugo, de Araújo Gonçalves, Pedro, Pontone, Gianluca, Shin, Sanghoon, Stone, Peter H., Samady, Habib, Virmani, Renu, Narula, Jagat, Berman, Daniel S., Shaw, Leslee J., Bax, Jeroen J., Lin, Fay Y., Min, James K., and Chang, Hyuk-Jae

Published
2020
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194. Performance Characteristics of Spirometry With Negative Bronchodilator Response and Methacholine Challenge Testing and Implications for Asthma Diagnosis

Author

Aaron, Shawn, Martin, James, Paré, Peter, Hogg, James, Carlsten, Christopher, Leipsic, Jonathon, Sin, Don, Tan, Wan, Guenette, Jordan, FitzGerald, Mark, Coxson, Harvey, Sadatsafavi, Mohsen, Marra, Carlo, Mayo, John, Proud, David, Leigh, Richard, Kozyrskyj, Anita, Quail, Jacqueline, Halayko, Andrew, Brownell, Marni, Parraga, Grace, Nair, Parameswaran, Stampfli, Martin, O’Byrne, Paul, Gupta, Samir, Zamel, Noe, Ratjen, Felix, Brooks, Dina, Gershon, Andrea, To, Teresa, Ungar, Wendy, Lougheed, Diane, O’Donnell, Denis, Thebaud, Bernard, Pakhale, Smita, Fergusson, Dean, Graham, Ian, Grimshaw, Jeremy, Vandemheen, Katherine, Van Dam, Anne, Benedetti, Andrea, Bourbeau, Jean, Lands, Larry, Jensen, Dennis, Landry, Jennifer, Blais, Lucie, Ducharme, Francine, Lemière, Catherine, Nuyt, Anne-Monique, Bossé, Yohan, Boulet, Louis-Philippe, Maltais, Francois, Doucet, Marieve, Hernandez, Paul, Selvanathan, Janannii, Aaron, Shawn D., Sykes, Jenna R., Vandemheen, Katherine L., FitzGerald, J. Mark, Ainslie, Martha, Field, Stephen K., McIvor, R. Andrew, Mayers, Irvin, Mulpuru, Sunita, Alvarez, Gonzalo G., and Mallick, Ranjeeta

Published
2020
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195. Safe Reintroduction of Cardiovascular Services During the COVID-19 Pandemic: From the North American Society Leadership

Author

Wood, David A., Mahmud, Ehtisham, Thourani, Vinod H., Sathananthan, Janarthanan, Virani, Alice, Poppas, Athena, Harrington, Robert A., Dearani, Joseph A., Swaminathan, Madhav, Russo, Andrea M., Blankstein, Ron, Dorbala, Sharmila, Carr, James, Virani, Sean, Gin, Kenneth, Packard, Alan, Dilsizian, Vasken, Légaré, Jean-François, Leipsic, Jonathon, Webb, John G., and Krahn, Andrew D.

Published
2020
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196. Differences in Progression to Obstructive Lesions per High-Risk Plaque Features and Plaque Volumes With CCTA

Author

Lee, Sang-Eun, Sung, Ji Min, Andreini, Daniele, Al-Mallah, Mouaz H., Budoff, Matthew J., Cademartiri, Filippo, Chinnaiyan, Kavitha, Choi, Jung Hyun, Chun, Eun Ju, Conte, Edoardo, Gottlieb, Ilan, Hadamitzky, Martin, Kim, Yong Jin, Lee, Byoung Kwon, Leipsic, Jonathon A., Maffei, Erica, Marques, Hugo, de Araújo Gonçalves, Pedro, Pontone, Gianluca, Raff, Gilbert L., Shin, Sanghoon, Stone, Peter H., Samady, Habib, Virmani, Renu, Narula, Jagat, Berman, Daniel S., Shaw, Leslee J., Bax, Jeroen J., Lin, Fay Y., Min, James K., and Chang, Hyuk-Jae

Published
2020
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200. The Journal of Cardiovascular Computed Tomography year in review – 2019

Author

Choi, Jeong W., van Rosendael, Alexander R., Bax, A. Maxim, van den Hoogen, Inge J., Gianni, Umberto, Baskaran, Lohendran, Andreini, Daniele, De Cecco, Carlo N., Earls, James, Ferencik, Maros, Hecht, Harvey, Leipsic, Jonathon A., Maurovich-Horvat, Pál, Nicol, Edward, Pontone, Gianluca, Raman, Subha, Schoenhagen, Paul, Arbab-Zadeh, Armin, Choi, Andrew D., Feuchtner, Gudrun, Weir-McCall, Jonathan, Chinnaiyan, Kavitha, Whelton, Seamus, Min, James K., Villines, Todd C., and Al’Aref, Subhi J.

Published
2020
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