1,644 results on '"Arsanjani, A."'
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2. Assessment of Positive Cardiac Remodeling in Hypertrophic Obstructive Cardiomyopathy Using an Artificial Intelligence–Based Electrocardiographic Platform in Patients Treated With Mavacamten
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Mustafa Suppah, MD, Kaitlin Roehl, PA-C, Kathryn Lew, APRN, NP, MSN, Reza Arsanjani, MD, Steven Lester, MD, Steve Ommen, MD, Jeffrey Geske, MD, Konstantinos C. Siontis, MD, Hartzell Schaff, MD, and Said Alsidawi, MD
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Computer applications to medicine. Medical informatics ,R858-859.7 - Published
- 2024
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3. Association between echocardiographic velocity time integral ratio of mitral valve and left ventricular outflow tract and clinical outcomes post transcatheter edge-to-edge mitral valve repair
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Isabel G. Scalia, Juan M. Farina, Rachel Wraith, Lisa Brown, Mohammed Tiseer Abbas, Milagros Pereyra, Mohamed Allam, Ahmed K. Mahmoud, Moaz A. Kamel, Timothy Barry, F. David Fortuin, Steven J. Lester, John Sweeney, Kristen A. Sell-Dottin, Mohamad Alkhouli, David R. Holmes, Chieh-Ju Chao, Said Alsidawi, Chadi Ayoub, and Reza Arsanjani
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Mitral regurgitation ,Transcatheter edge-to-edge repair ,Prognosis ,Velocity time integral ,Science (General) ,Q1-390 ,Social sciences (General) ,H1-99 - Abstract
Background: Residual mitral regurgitation (MR) is frequent after transcatheter edge-to-edge repair (TEER). There is controversy regarding the clinical impact of residual MR and its quantitative assessment by transthoracic echocardiography (TTE), which is often challenging with multiple eccentric jets and artifact from the clip. The utility of the velocity time integral (VTI) ratio between the mitral valve (MV) and left ventricular outflow tract (LVOT), (VTIMV/LVOT), a simple Doppler measurement that increases with MR, has not been assessed post TEER. Methods: Baseline characteristics, clinical outcomes, and TTE data from patients who underwent TEER between 2014 and 2021 across three academic centers were retrospectively analyzed. Post-procedure TTEs were evaluated for VTIMV/LVOT in the first three months after TEER. One-year outcomes including all-cause and cardiac mortality, major adverse cardiac events, and MV reintervention were compared between patients with high VTIMV/LVOT (≥2.5) and low (
- Published
- 2024
- Full Text
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4. Factors Associated With Coronary Angiography Performed Within 6 Months of Randomization to the Conservative Strategy in the ISCHEMIA Trial
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Pracoń, Radosław, Spertus, John A., Broderick, Samuel, Bangalore, Sripal, Rockhold, Frank W., Ruzyllo, Witold, Demchenko, Elena, Nageh, Thuraia, Grossman, Gabriel Blacher, Mavromatis, Kreton, Manjunath, Cholenahally N., Smanio, Paola E.P., Stone, Gregg W., Mancini, G.B. John, Boden, William E., Newman, Jonathan D., Reynolds, Harmony R., Hochman, Judith S., Maron, David J., Doan, John, Linefsky, Jason, Lee, Raven, Patel, Risha, Miller, Todd, Yang Cho, So, Milbrandt, Susan, Shelstad, Dawn, Banerjee, Subhash, Kamath, Preeti, Tejani, Ishita, Cobos, Stanley E., Quiles, Kirsten J., Dwyer, Raven R., Donnino, Robert M., Espinosa, Dalisa, Phillips, Lawrence M., Saric, Muhamed, Abdul-Nour, Khaled, Schley, Allison, Golden, Heather, Stone, Peter H., Osseni, Hermine, Wiyarand, Charlene, Douglass, Peter, Pomeroy, Hayley, Craft, Alexandra, Harvey, Bethany, Jang, James J., Anaya, Olivia, Yee, Gennie, Goold, Phoebe, Weitz, Steven, Giovannone, Steven, Pritchard, Lori, Arnold, Suzanne, Gans, Rosann, Henry O’Keefe, Jr, James, Kennedy, Paul, Shapiro, Michael D., Ganesan, Shobana, Schlichting, David, Naher, Aynun, El-Hajjar, Mohammad, Sidhu, Mandeep S., Fein, Steven A., Stewart, Wendy L., Torosoff, Mikhail T., Salmi, Kristin M., Lyubarova, Radmila, Mookherjee, Sulagna, Drzymalski, Krzysztof, McFalls, Edward O., Garcia, Santiago A., Bertog, Stefan C., Johnson, Debra K., Siddiqui, Rizwan A., Herrmann, Rebekah R., Ishani, Areef, Hansen, Ronnell A., Georges Khouri, Michel, Arges, Kristine, LeFevre, Melissa, Tomfohr, Jennifer, Goldberg, Jonathan L., Ann Byrne, Kimberly, Zappernick, Taissa, Goldweit, Richard, Canada, Sallie, Kakade, Meghana, Mieses, Patricia, Cobos, Stanley E., Dwyer, Raven R., Cohen, Ronny A., Espinosa, Dalisa, Mirrer, Brooks, Quiles, Kirsten J., Navarro, Victor, Rantinella, Magdalena, Rodriguez, Jessica, Mancilla, Olivia, Winchester, David E., Stinson, Susan, Kronenberg, Marvin, Weyand, Terry, Rogal, Philip, Crook, Sherron C., McFarren, Christopher, Heitner, John F., Ho, Jean, Khan, Saadat, Mohamed, Mahmoud, Dauber, Ira M., Soltau, Mary R., Rose, Delsa K., Wimmer, Rebecca J., Siegel, Kathy E., Derbyshire, Susan, Cannan, Charles, Dixon, Michelle, Leonard, Gerald, Sudarshan, Sriram, Heard, Ciarra, Gabriel, Viviana, Desire, Sukie, Mehta, Puja K., McDaniel, Michael, Rashid, Fauzia, Lerakis, Stamatios, Asier, Senait, Quyyumi, Arshed, Patel, Keyur, Wenger, Nanette K., Hedgepeth, Chester M., Gillis, Jennifer, Hurlburt, Heather, Manocchia, Megan, Rosen, Alan, Moore, Susan, Congdon, Elizabeth, Sahul, Zakir, Brandt, Gail, Marchelletta, Nora, Wippler, Kristina, Booth, David, Taul, Yvonne, Leung, Steve, Isaacs, Jennifer, Abdel-Latif, Ahmed, Bulkley, Viktoria, Reda, Hassan, Rodgers, Caroline, Ziada, Khaled, Setty, Sampoornima, Halverson, Kimberly E., Roraff, Christine, Thorsen, Jonean, Barua, Rajat S., Ojajuni, Amarachi, Olurinde, Oni, Surineni, Kamalakar, Hage, Fadi, Valaiyapathi, Badhma, Caldeira, Christiano, Davies, James E., Leesar, Massoud, Heo, Jaekyeong, Iskandrian, Amy, Al Solaiman, Firas, Singh, Satinder, Dajani, Khaled, Kartje, Carol M., El-Hajjar, Mohammad, Mesropian, Paul Der, Sacco, Joseph, Rawlins, Michele, McCandless, Brian, Thomson, Jennifer, Orgera, Marisa, Sidhu, Mandeep S., Colleen Rogge, Mary, Arif, Imran, Bunke, Julie, Kerr, Hanan, Unterbrink, Kendra, Fannon, Jacqueline, Burman, Cynthia, Trejo, Jorge F., Dubin, Marcia F., Fletcher, Gerald, Lane, Gary E., Neeson, Lynn M., Parikh, Pragnesh P., Pollak, Peter M., Shapiro, Brian P., Landolfo, Kevin, Gemignani, Anthony, Beaudry, Sarah, O’Rourke, Daniel, Meadows, Judith L., Tirado, Stephanie A., Halliday, Janet, Julian, Pamela, Call, Jason T., Lane, Stephanie M., Stanford, Jennifer L., Hannan, Joseph, Bojar, Robert, Arsenault, Patricia, Kumar, Deepti, Sigel, Pamela, Mukai, John, Martin, Edward T., Brooks, Miriam, Vorobiof, Gabriel, Douangvila, Ladda, Gevorgyan, Rubine, Moorman, Alec, Ranjbaran, Fatima, Smith, Bryn, Ohmart, Carly, Kinlay, Scott, Hamburger, Robert J., Rocco, Thomas P., Ly, Samantha, Bhatt, Deepak L., Quinn, Margot C., Croce, Kevin, Temiyasathit, Sara, Quin, Jacquelyn A, Do, Jacquelyn, Anumpa, Jati, Tobin, Desiree, Zenati, Marco, Faxon, David P, Rayos, Glenn, Langdon, Jennifer, Werner Bayer, Marcia, Seedhom, Ashraf, O’Malley, 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Kaneshiro, Renee, Labovitz, Arthur J., Berlowitz, Michael, Kirby, Bonnie J., Rogal, Philip, Tran, Nhi N., McFarren, Christopher, Jahrsdorfer, Catherine, Matar, Fadi, Caldeira, Christiano, Rodriguez, Fatima, Yunis, Reem, Schnittger, Ingela, Patro, Jhina, Fearon, William F., Deedwania, Prakash, Vega, Antonia, Reddy, Kiran, Sweeny, Joseph, Bloise-Adames, Hugo, Jimenez, Santa, Saint Vrestil, Nicole, Bhandari, Reyna, Spizzieri, Christopher, Schade, Danielle, Yost, Roxanne, Hochberg, Claudia P, Beardsley, Paula, Fine, Denise, Salerno, William D., Tancredi, Jana, Arakelian, Patricia, Mathus, Susan, O’Neill, Deborah, Wyman, Ray, Burkhardt, Joy, Hosino, Suellen, Lubyanaya, Oksana A., Salas, Jose D., Zarka, Amer, Aguirre, Maria, Shah, Anil V., Dhawan, Manu, Parra, Diana, Tran, Tri, Haldis, Thomas, Weick, Catherine, Fowler-Lehman, Katie, Spitzer, Natalie, Riedberger, Casey, Weick, Catherine, Kohn, Jeffrey A., Cobos, Stanley E., Dwyer, Raven R., Espinosa, Dalisa, Quiles, Kirsten J., Girotra, 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Arunima, Huda, Zohra, Wall, Matthew, Boan, Araceli, Lenges De Rosen, Veronica, Alam, Mahboob, Turner, Michael C., Hinton, Christine R, Mulhearn, Thomas J., Good, Arnold P., Archer, Beth A., Dionne, Julia S., Allardyce, Cheryl A., Sikora, Lindsey N., Czerniak, Jennifer H., Mull, Jennifer A., Ferguson, Elizabeth, Laube, Frances, Shammas, Nicolas W., Shammas, Gail A, Christensen, Lori, Park, Holly, Chilton, Robert, Hecht, Joan, Nguyen, Patricia K., Vo, Davis, Hirsch, James, Jezior, Matthew, Bindeman, Jody, Salkind, Sara, Espinosa, Dalisa, Desimone, Lori-Ann, Gordon, Paul C., Felix-Stern, Lina, Crain, Thomas, Gomes, Jassira, Gordon, Catherine, Stenberg, Robert, Mann, Aimee, McCreary, Theresa, Pedalino, Ronald P., Cobos, Stanley E., Dwyer, Raven R., Espinosa, Dalisa, Quiles, Kirsten J., Wiesel, Joseph, Cobos, Stanley E., Dwyer, Raven R., Espinosa, Dalisa, Quiles, Kirsten J., Juang, George J., Gopaul, Candace, Hultberg, Karen, Huk, Tauqir, Hussain, Afshan, Al-Amoodi, Mohammed, Zambrano, Yesenia, Medina Rodriguez, Sarah, Milner, Trudie, Wohns, David, Mulder, Abbey, Van Oosterhout, Stacie, Lader, Ellis W., Meyer, Martha, Mumma, Michael, Clapp, Nancy L., Barrentine, Heather, Dharmarajan, Lekshmi, Jose, Jenne M., Cobos, Stanley E., Dwyer, Raven R., Espinosa, Dalisa, Quiles, Kirsten J., Manchery, Jenne, McGarvey Jr, Joseph F.X., McKinney, Vera, Schwarz, Linda, Downes, Thomas R., Kaczkowski, Scott M., Luckasen, Gary J., Jaskowiak, Adam J., Klitch, Joel, Cheong, Benjamin, Dees, Debra, Potluri, Srinivasa, Vasquez, Precilia, Mastouri, Ronald A., Breall, Jeffery A., Hannemann, Elise L., Revtyak, George E., Mae Foltz, Judy, Bazeley, Jonathan W., Li, Dayuan, DeRosa, Emily, Jorgenson, Beth, Riestenberg-Smith, Joyce, Giedd, Kenneth, Old, Wayne, Bariciano, Rebecca, Burt, Francis, Sokhon, Kozhaya, Waldron, Jessica, Mayon, Michelle, Gopal, Deepika, Valeti, Uma S., Ann Peichel, Gretchen, Kobashigawa, Jon, Starks, Brandy, Garcia, Lucilla, Thottam, Maria, Bhargava, Balram, Anand, Anjali, Chakanalil Govindan, Sajeev, Raj, Janitha, Gopalan Nair, Rajesh, Ravindran, Reshma, Rajalekshmi, VS, Nataraj, Nandita, Moorthy, Nagaraja, Nayak, Soundarya, Mylarappa, Mahevamma, Narayanappa, Suryaprakash, Pandit, Neeraj, Bajaj, Sheromani, Kumar Nath, Ranjit, Yadav, Vandana, Mishra, Girish, Dwivedi, S.K., Tewari, Roma, Narain, V.S., Mishra, Meenakshi, Chandra, Sharad, Patel, Shivali, Singh, Suman, Wander, Gurpreet S., Tandon, Rohit, Ralhan, Sarju, Kaur, Baljeet, Aslam, Naved, Gupta, Sonika, Goyal, Abhishek, Bhargava, Balram, Suvarna, Chandini, Karthikeyan, G., Ramakrishnan, S., Seth, Sandeep, Yadav, Rakesh, Singh, Sandeep, Roy, Ambuj, Parakh, Neeraj, Kumar Verma, Sunil, Narang, Rajiv, Mishra, Sundeep, Naik, Nitish, Sharma, Gautam, Kumar Choudhary, Shiv, Patel, Chetan, Gulati, Gurpreet, Sharma, Sanjeev, Bahl, V K, Mathew, Anoop, Mannekkattukudy Kurian, Binoy, Punnoose, Eapen, Avdhoot Gadkari, Milind, Rupesh Karwa, Sheetal, Gadage, Siddharth, Kolhe, Suvarna, Umesh Pillay, Tapan, Satheesh, Santhosh, Vindhya, R. J., Jain, Peeyush, Seth, Ashok, Singh Meharwal, Zile, Mathur, Atul, Verma, Atul, Kaul, Upendra, Bhatia, Mona, Sachdeva, Ankush, Indira Devi, Thounaojam, Jungla, Nungshi, Christopher, Johann, Manjula Rani, K., Menon, Rajeev, Sowjanya Reddy, M., Kumar, Nirmal, Preethi, K., Oomman, Abraham, sidh, Rinu R, Mao, Robert, Ramakrishnan, T., Solomon, Hilda, Francis, Rajesh, Naik, Sudhir, Vamshi, Priya P., Parveen Khan, Sajeeda, Christopher, Johann, Preethi, Kotiboinna, Kumar, Nirmal, Grant, Purvez, Hande, Shweta, Sonawane, Poonam, Kachru, Ranjan, Dubey, Abhishek, Rawat, Kavita, Kumar, Ajit, Ganapathi, Sanjay, K, Jayakumar, CP, Vineeth, Sivadasanpillai, Harikrishnan, Chacko, Manas, Sasidharan, Bijulal, Babu, Suresh, TR, Kapilamoorthy, Christopher, Johann, Reddy, Sowjanya, Polamuri, Praneeth, Rani, Manjula, Kaul, Upendra, Arambam, Priyadarshani, Singh, Bebek, Senior, Roxy, Fox, Keith AA, Young, Grace M., Carruthers, Kathryn, Senior, Roxy, Elghamaz, Ahmed, Gurunathan, Sothinathan, Karogiannis, Nikolaos, Young, Grace M., Shah, Benoy N, Kinsey, Christopher, Trimlett, Richard HJ, Kavalakkat, Raisa, Rubens, Michael B, Evans, Jo, Nicol, Edward D, Hassan, Ikraam, Mittal, Tarun K, Hampson, Reinette, Andreas Gamma, Reto, Williams, Sarah, Holland, Kim, Swan, Karen, de Belder, Mark A, Atkinson, Bev, Thambyrajah, Jeet, Kunhunny, Swapna, Davies, John R, Lindsay, Steven J., Atkinson, Craig, Kurian, John, Krannila, Carita, Jamil, Haqeel, Vinod, Manitha, Raheem, Osama, Hoye, Angela, Chaytor, Lisa, Cox, Leanne, Morrow, Julie, Rowe, Kay, Donnelly, Patrick, Kelly, Stephanie, Valecka, Bernardas, Regan, Susan, Turnbull, Dawn, Chauhan, Anoop, Fleming, Catherine, Ghosh, Arijit, Gratrix, Karen, Preston, Stephen, Barr, Craig, Cartwright, Anne, Alfakih, Khaled, Knighton, Abigail, Byrne, Jonathan, Martin, Katherine, Webb, Ian, Henriksen, Peter, Flint, Laura, Harrison, James, OKane, Peter, Lakeman, Nicki, Ljubez, Anja, de Silva, Ramesh, Conway, Dwayne S. G., Wright, Judith, Exley, Donna, Sirker, Alexander A, Andiapen, Mervyn, Richards, Amy J., Hoole, Stephen P, Wong, Lisa, Witherow, Fraser N., Munro, Melanie J., Johnston, Nicola, Harbinson, Mark, McEvoy, Michelle, Walsh, Simon, Brown, Caroline, Douglas, Hanna, Luckie, Matthew, Charles, Thabitha, Kolakaluri, Laurel, Phillips, Hannah, Sobolewska, Jolanta, Morby, Louise, Hallett, Karen, Corbett, Carolyn, Winstanley, Lynne, Jeetley, Paramjit, Smit, Angelique, Patel, Niket, Kotecha, Tushar, Travill, Christopher, Gent, Susan, Karimullah, Iqbal, Hussain, Nafisa, Al-Bustami, Mahmud, Braganza, Denise, Haines, Fiona, Taaffe, Joanne, Henderson, Robert, Burton, Jane, Pointon, Kate, Colton, Maria, Naik, Surendra, King, Rachel, Mathew, Thomas, Brown, Ammani, Docherty, Andrew, Berry, Colin, McCloy, Lisa, Collison, Damien, Robb, Kate, Roditi, Giles, Paterson, Craig, Crawford, Wenda, Kelly, Joanne, McGregor, Lorraine, Moriarty, Andrew J, Mackin, Anne, Glover, Jason D., Knight, Janet P, Pradhan, Jiwan, Mikhail, Ghada, Bose, Tuhina, Francis, Darrel P., Dzavik, Vladimir, Goodman, Shaun, Gosselin, Gilbert, Gosselin, Gilbert, Proietti, Anna, Brousseau, Myriam, Corfias, Magalie, Blaise, Patricia, Harvey, Luc, Diaz, Ariel, Rheault, Philippe, Barrero, Miguel, Gagné, Carl-Éric, Alarie, Patricia, Pépin-Dubois, Yanek, Arcand, Linda, Costa, Ricardo, Roy, Isabelle, Tung Sia, Ying, Montpetit, Estelle, Lemay, Catherine, Gisbert, Alejandro, Gervais, Pierre, Rheault, Alain, Drouin, Katia, Carl Phaneuf, Denis, Bergeron, Christine, Gosselin, Gilbert, Shelley, Christine, Masson, Christine, Garg, Pallav, Carr, Sandy, Bone, Catherine, Chow, Benjamin J.W., Moga, Ermina, Hessian, Renee C., Kourzenkova, Janetta, Beanlands, Rob S., Walter, Olga, Davies, Richard F., Bainey, Kevin R., Hogg, Norma, Welsh, Suzanne, Cheema, Asim N., Bagai, Akshay, Wald, Ron, Goodman, Shaun, Kushniriuk, Khrystyna, Joseph Graham, John, Hussain, Mohammed, Peterson, Mark, Bello, Olugbenga, Chow, Chi-Ming, Abramson, Beth, Nazir Cheema, Asim, Syed, Ishba, Hussain, Mohammed, Kushniriuk, Khrystyna, Cha, James, Otis, Judy, Otis, Rebecca, Howarth, Andrew G, Seib, Michelle M, Rivest, Sandra M, Sandonato, Rosa, Wong, Graham, Chow, Jackie, Starovoytov, Andrew, Uchida, Naomi, Meadows, Ngaire, Uxa, Amar, Asif, Nadia, Tavares, Suzana, Galiwango, Paul, Bozek, Bev, Kassam, Saleem, Shier, Maria, Mukherjee, Ashok, Larmand, Lori-Ann, Ricci, A. Joseph, Janmohamed, Amir, Hart, Brenda, Lam, Andy, Marucci, Jane, Tai, Sharon, Mehta, Shamir, Brons, Sonya, Beck, Chris, Wong, Glenda, Etherington, Krystal, Arumairajah, Thippeekaa, Udell, Jacob, Aprile, Maria, Karlsson, Sara, Webber, Susan, Généreux, Philippe, Mercure, Chantale, Hameed, Adnan, Aedy, Nancy, Daba, Ledjalem, Farquharson, Fran, Siddiqui, Anam, Carlos Carvalho, Antonio, Lopes, Renato D., Hueb, Whady, Emy Takiuti, Myrthes, Cury Rezende, Paulo, Eustáquio Ribeiro Silva, Expedito, Ciappina Hueb, Alexandre, Pizzol Caetano, Leonardo, Schaan de Quadros, Alexandre, Abdala Karam Kalil, Renato, Peixoto Deiro, Aline, Luiz da Costa Vieira, José, Manica Muller, Alice, Antonieta Pereira de Moraes, Maria, Píccaro de Oliveira, Pedro, Maria Ascoli, Bruna, Bridi, Leonardo, Zottis Poletti, Sílvia, Savaris, Simone, Vitola, João V, Cerci, Rodrigo J, Zier, Sandra S., Farias, Fabio R, Veiga Jr, Vilmar, Fernandes, Miguel M, Antonio Marin-Neto, José, Schmidt, André, de Oliveira Lima Filho, Moysés, Franca da Cunha, Diego, Mendes Oliveira, Ricardo, Reynaldo Abbud Chierice, João, Polanczyk, Carísi A., Rucatti, Guilherme G, Furtado, Mariana V., Igansi, Fernanda, Smidt, Luis F., Haeffner, Mauren P, Carlos Carvalho, Antonio, Almeida, Viviane, Pucci, Gustavo, Sanchez de Souza, Gabriela, Lyra, Flavio, Rabelo Alves Junior, Alvaro, Almeida, Mayana, dos Santos, Viviane, Dracoulakis, Marianna D. A., Oliveira, Natalia S, Lima, Rodolfo G. S. D, Figueiredo, Estevao, Edilena Paulino Azevedo, Bruna, Ricardo Caramori, Paulo, Bizzaro Santos, Marco, Germann, Amanda, Gomes, Vitor, Homem, Rosa, Magedanz, Ellen, Tumelero, Rogerio, Laimer, Rosane, Tognon, Alexandre, Dall’Orto, Frederico, Mesquita, Claudio T., Santos, Roberta P, Colafranseschi, Alexandre S., Oliveira, Amarino C., Carvalho, Luiz A., Palazzo, Isabella C., Sousa, Andre S., Eustáquio Ribeiro da Silva, Expedito, Gabriel Melo de Barros e Silva, Pedro, Yumi Okada, Mariana, de Pádua Silva Baptista, Luciana, Paula Batista, Ana, Jamus Rodrigues, Marcelo, Nogueira Rabaça, Aline, Valério Coimbra de Resende, Marcos, Francisco Saraiva, Jose, Miranda Trama, Larissa, Silva, Talita, Thais de Souza Ormundo, Camila, Vicente, Carla, Costantini, Costantino, Pinheiro, Caroline, Komar, Daniele, Szwed, Hanna, Demkow, Marcin, Kepka, Cezary, Teresinska, Anna, Walesiak, Olga, Kryczka, Karolina, Malinowska, Katarzyna, Henzel, Jan, Solecki, Mateusz, Kaczmarska, Edyta, Mazurek, Tomasz, Maksym, Jakub, Wojtera, Karolina, Fojt, Anna, Szczerba, Ewa, Drozdz, Jaroslaw, Czarniak, Bartosz, Frach, Malgorzata, Szymczyk, Konrad, Niedzwiecka, Iwona, Sobczak, Sebastian, Ciurus, Tomasz, Jakubowski, Piotr, Misztal-Teodorczyk, Magdalena, Teodorczyk, Dawid, Swiderek, Marta, Fratczak, Aleksandra, Wojtala, Ewelina, Szkopiak, Marcin, Lebioda, Patrycja, Wlodarczyk, Michal, Plachcinska, Anna, Kusmierek, Jacek, Miller, Magdalena, Marciniak, Halina, Wojtczak-Soska, Karolina, Łuczak, Katarzyna, Tarchalski, Tomasz, Cichocka-Radwan, Anna, Szwed, Hanna, Karwowski, Jaroslaw, Anna Szulczyk, Grazyna, Witkowski, Adam, Kukuła, Krzysztof, Celińska-Spodar, Małgorzta, Zalewska, Joanna, Gajos, Grzegorz, Bury, Krzysztof, Pruszczyk, Piotr, Łabyk, Andrzej, Roik, Marek, Szramowska, Agnieszka, Zdończyk, Olga, Łoboz-Grudzień, Krystyna, Jaroch, Joanna, Sokalski, Leszek, Brzezińska, Barbara, Lesiak, Maciej, Łanocha, Magdalena, Reczuch, Krzysztof W., Kolodziej, Adam, Kalarus, Zbigniew, Swiatkowski, Andrzej, Szulik, Mariola, Musial, Wlodzimierz J., Marcinkiewicz-Siemion, Marta, Bockeria, Olga, Bockeria, Leo, Bockeria, Olga, Petrosyan, Karen, Kudzoeva, Zalina, Trifonova, Tatiana, Aripova, Nodira, Chernyavskiy, Alexander M., Naryshkin, Ivan A., Kretov, Evgeniy I., Kuleshova, Alena, Grazhdankin, Igor O., Malaev, Dastan, Bershtein, Leonid L., Sayganov, Sergey A., Subbotina, Irina, Kuzmina-Krutetskaya, Anastasia M., Gumerova, Victoria, Zbyshevskaya, Elizaveta V., Katamadze, Nana O., Nikolaeva, Olga B., Kozlov, Pavel S., Kozulin, Vikentiy Y., Lubinskaya, Ekaterina I., Luis Lopez-Sendon, Jose, Castro, Almudena, Lopez-Sendon, Jose, Fernández-Figares, Virginia, Castro, Almudena, Refoyo Salicio, Elena, Guzman, Gabriela, Galeote, Gabriel, Valbuena, Silvia, Peteiro, Jesús, Dolores Martínez-Ruíz, María, Pérez-Fernández, Ruth, Blanco-Calvo, Moisés, Cuenca-Castillo, José J, Alonso-Álvarez, Encarnación, Flores-Ríos, Xacobe, García-González, Paula, Prada-Delgado, Óscar, Barge-Caballero, Gonzalo, Ramon Gonzalez Juanatey, Jose, Seijas Amigo, Jose, Souto Bayarri, Miguel, Pubull Nuñez, Virginia, Ocaranza Sanchez, Raymundo, Cid Alvarez, Belen, Peña Gil, Carlos, Martinez Monzonis, Amparo, Sionis, Alessandro, Fernández Martínez, Ana, Vila Perales, Montserrat, Maria Padró, Josep, Serra Peñaranda, Antonio, García Picart, Joan, Ginel Iglesias, Antonino, Garcia-Moll Marimon, Xavier, Pons Lladó, Guillem, Carreras Costa, Francesc, Miro, Vicente, Igual, Begoña, Diez, Jose L, Calvillo, Pilar, Ortuño, F. 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Barbara, Yeoh, Eunice, Youn, Tricia, Maggioni, Aldo P., Bianchini, Francesca, Ceseri, Martina, Lorimer, Andrea, Magnoni, Marco, Orso, Francesco, Sarti, Laura, Tricoli, Martinia, Carvalho, Antonio, Lopes, Renato, Barbosa, Lilian Mazza, Duarte, Tauane Bello, Soares, Tamara Colaiácovo, Aveiro Morata, Julia de, Carvalho, Pedro, Carvalho Maffei, Natalia de, Egydio, Flávia, Kawakami, Anelise, Oliveira, Janaina, Piloto, Elissa Restelli, Pozzibon, Jaqueline, Goodman, Shaun, Camara, Diane, Mowafy, Neamat, Spindler, Caroline, Jiang, Lixin, Dai, Hao, Feng, Fang, Li, Jia, Li, Li, Liu, Jiamin, Xie, Qiulan, Zhang, Haibo, Zhang, Jianxin, Zhang, Lihua, Zhang, Liping, Zhang, Ning, Zhong, Hui, Diaz, Rafael, Escobar, Claudia, Martin, Maria Eugenia, Pascual, Andrea, Lopez-Sendon, José, Moraga, Paloma, Hernandez, Victoria, Castro, Almudena, Posada, Maria, Fernandez, Sara, Villanueva, José Luis Narro, Selgas, Rafael, Steg, Gabriel, Abergel, Helene, Juliard, Jean Michel, White, Harvey, Alsweiler, Caroline, de Werf, Frans Van, Claes, Kathleen, Goetschalckx, Kaatje, Luyten, Ann, Robesyn, Valerie, Selvanayagam, Joseph B., Murphy, Deirdre, Ahmed, Asker, Bhatt, Richa, Chadha, Nitika, Kumar, Vijay, Lubna, Sadath, Naik, Pushpa, Pandey, Shruti, Ramasamy, Karthik, Saleem, Mohammed, Sharma, Pratiksha, and Siddaram, Hemalata
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- 2024
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5. Artificial intelligence-enabled electrocardiogram (AI-ECG) does not predict atrial fibrillation following patent foramen ovale closure
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Omar Baqal, Eiad A. Habib, Elfatih A. Hasabo, Francesca Galasso, Timothy Barry, Reza Arsanjani, John P. Sweeney, Peter Noseworthy, and F. David Fortuin
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Artificial intelligence ,PFO closure ,Atrial fibrillation ,Machine learning ,Electrocardiography ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Background: Atrial fibrillation (AF) is a known complication following patent foramen ovale (PFO) closure. AI-enabled ECG (AI-ECG) acquired during normal sinus rhythm has been shown to identify individuals with AF by noting high-risk ECG features invisible to the human eye. We sought to characterize the value of AI-ECG in predicting AF development following PFO closure and investigate key clinical and procedural characteristics possibly associated with post-procedural AF. Methods: We performed a retrospective analysis of patients who underwent PFO closure at our hospital from January 2011 to December 2022. We recorded the probability (%) of AF using the Mayo Clinic AI-ECG dashboard from pre- and post-procedure ECGs. The cut-off point of ≥ 11 %, which was found to optimally balance sensitivity and specificity in the original derivation paper (the Youden index) was used to label an AI-ECG “positive” for AF. Pre-procedural transesophageal echocardiography (TEE) and pre- and post-procedure transcranial doppler (TCD) data was also recorded. Results: Out of 93 patients, 49 (53 %) were male, mean age was 55 ± 15 years with mean post-procedure follow up of 29 ± 3 months. Indication for PFO closure in 69 (74 %) patients was for secondary prevention of transient ischemic attack (TIA) and/or stroke. Twenty patients (22 %) developed paroxysmal AF post-procedure, with the majority within the first month post-procedure (15 patients, 75 %). Patients who developed AF were not significantly more likely to have a positive post-procedure AI-ECG than those who did not develop AF (30 % AF vs 27 % no AF, p = 0.8).Based on the PFO-Associated Stroke Causal Likelihood (PASCAL) classification, patients who had PFO closure for secondary prevention of TIA and/or stroke in the “possible” group were significantly more likely to develop AF than patients in “probable” and “unlikely” groups (p = 0.034). AF-developing patients were more likely to have post-procedure implantable loop recorder (ILR) (55 % vs 9.6 %, p
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- 2024
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6. Mechanical prosthetic valve thrombosis: A literature review of treatment strategies
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Ebrahimi, Pouya, Sattartabar, Babak, Taheri, Homa, Soltani, Parnian, Bahiraie, Pegah, Mousavinezhad, Seyedeh Maryam, Gooshvar, Mehrdad, Kampaktsis, Polydoros N., Arsanjani, Reza, Sahebjam, Mohammad, Hosseini, Kaveh, and Siegel, Robert J
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- 2024
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7. Association between echocardiographic velocity time integral ratio of mitral valve and left ventricular outflow tract and clinical outcomes post transcatheter edge-to-edge mitral valve repair
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Scalia, Isabel G., Farina, Juan M., Wraith, Rachel, Brown, Lisa, Abbas, Mohammed Tiseer, Pereyra, Milagros, Allam, Mohamed, Mahmoud, Ahmed K., Kamel, Moaz A., Barry, Timothy, Fortuin, F. David, Lester, Steven J., Sweeney, John, Sell-Dottin, Kristen A., Alkhouli, Mohamad, Holmes, David R., Chao, Chieh-Ju, Alsidawi, Said, Ayoub, Chadi, and Arsanjani, Reza
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- 2024
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8. Topological Data Analysis Identified Prognostically-Distinct Phenotypes in Transcatheter Edge-to-Edge Repair Patients
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Chieh-Ju Chao, MD, Timothy Barry, MB, BCh, BAO, Amith Seri, MBBS, Ahmed El Shaer, MBBS, Nadia Chavez Ponce, MD, Soham Chakraborty, BS, Sean Smith, MD, Mohamad Alkhouli, MD, Jeremy Thaden, MD, David Fortuin, MD, John P. Sweeney, MD, Mackram Eleid, MD, Charanjit S. Rihal, MD, David R. Holmes, MD, Peter M. Pollak, MD, Abdallah El Sabbagh, MD, Steven J. Lester, MD, Jae K. Oh, MD, Win-Kuang Shen, MD, Imon Banerjee, PhD, and Reza Arsanjani, MD
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Computer applications to medicine. Medical informatics ,R858-859.7 - Abstract
Objective: To identify prognostically distinct phenotype clusters in transcatheter edge-to-edge repair (TEER) patients based on topological data analysis (TDA), which was never used to assess the heterogeneous TEER population. Patients and Methods: Patients who underwent TEER (June 2014-September 2020) at Mayo Clinic sites were identified from the institutional database. Thirteen variables were used for TDA. The topological network graph was created using the Python Scikit-TDA Kepler-Mapper package (v. 2.0.1), and clustering was performed at the graph level with Louvain’s modularity method. Kaplan-Meier survival analysis was used to assess the all-cause mortality of each cluster. Result: A total of 389 consecutive patients were included in the final analysis, and 2 major clusters were identified. The mean age was 80.3 ± 8.7 years; 256 (65.8%) were male. Fifty-five (14.5%) patients died during the mean follow-up duration (185 days). Kaplan-Meier analysis showed significant survival differences among the 2 clusters (hazard ratio, 2.70; 95% CI, 1.50-4.87; P=.0005). Cluster 1 (n=227) had moderate or increased residual mitral regurgitation (cluster 0 vs cluster 1: 19.4% vs 41.9%; P
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- 2023
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9. Chronic Right Ventricular Pacing Post-Transcatheter Aortic Valve Replacement Attenuates the Benefit on Left Ventricular Function
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Chieh-Ju Chao, Deepa Mandale, Juan M. Farina, Merna Abdou, Pattara Rattanawong, Marlene Girardo, Pradyumma Agasthi, Chadi Ayoub, Mohammad Alkhouli, Mackram Eleid, F. David Fortuin, John P. Sweeney, Peter Pollak, Abdallah El Sabbagh, David R. Holmes, Reza Arsanjani, and Tasneem Z. Naqvi
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transcatheter aortic valve implantation ,pacemaker ,left ventricular ejection fraction ,LV longitudinal strain ,right ventricular pacing ,clinical outcome ,Medicine - Abstract
Background: Conduction abnormality post-transcatheter aortic valve implantation (TAVI) remains clinically significant and usually requires chronic pacing. The effect of right ventricular (RV) pacing post-TAVI on clinical outcomes warrants further studies. Methods: We identified 147 consecutive patients who required chronic RV pacing after a successful TAVI procedure and propensity-matched these patients according to the Society of Thoracic Surgeons (STS) risk score to a control group of patients that did not require RV pacing post-TAVI. We evaluated routine echocardiographic measurements and performed offline speckle-tracking strain analysis for the purpose of this study on transthoracic echocardiographic (TTE) images performed at 9 to 18 months post-TAVI. Results: The final study population comprised 294 patients (pacing group n = 147 and non-pacing group n = 147), with a mean age of 81 ± 7 years, 59% male; median follow-up was 354 days. There were more baseline conduction abnormalities in the pacing group compared to the non-pacing group (56.5% vs. 41.5%. p = 0.01). Eighty-eight patients (61.6%) in the pacing group required RV pacing due to atrioventricular (AV) conduction block post-TAVI. The mean RV pacing burden was 44% in the pacing group. Left ventricular ejection fraction (LVEF) was similar at follow-up in the pacing vs. non-pacing groups (57 ± 13.0%, 59 ± 11% p = 0.31); however, LV global longitudinal strain (−12.7 ± 3.5% vs. −18.8 ± 2.7%, p < 0.0001), LV apical strain (−12.9 ± 5.5% vs. 23.2 ± 9.2%, p < 0.0001), and mid-LV strain (−12.7 ± 4.6% vs. −18.7 ± 3.4%, p < 0.0001) were significantly worse in the pacing vs. non-pacing groups. Conclusions: Chronic RV pacing after the TAVI procedure is associated with subclinical LV systolic dysfunction within 1.5 years of follow-up.
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- 2024
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10. 'Unkinking' the 'Kink' Normalizes the Doppler Pattern
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Elaina A. Blickenstaff, Michael O’Shea, Timothy Barry, Reza Arsanjani, John P. Fasolino, Donald J. Hagler, Francois Marcotte, and David S. Majdalany
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coarctation of aorta ,stent ,echocardiography ,Doppler pattern ,Medicine (General) ,R5-920 - Abstract
Coarctation of the aorta (CoA) comprises 5–7% of congenital heart disease and can present as an isolated narrowing in the aortic arch just distal to the left subclavian artery or can be associated with cardiac abnormalities such as a bicuspid aortic valve, aortopathy, or ventricular septal defects. With the advances in the medical field, intervention on CoA can either be via surgical repair or endovascular stenting. Echocardiography is the mainstay in diagnosing CoA, with tomographic imaging such as magnetic resonance imaging (MRI) or computed tomography providing supplementary assessment of the aorta, valves, and collateral vessels. We present a case of a young hypertensive male who was noted to have a continuous cardiac murmur with diagnostic Doppler pattern of CoA on echocardiography that normalized soon after percutaneous stenting.
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- 2024
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11. Chemotherapy Related Cardiotoxicity Evaluation—A Contemporary Review with a Focus on Cardiac Imaging
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Isabel G. Scalia, Bashaer Gheyath, Balaji K. Tamarappoo, Rohit Moudgil, James Otton, Milagros Pereyra, Hema Narayanasamy, Carolyn Larsen, Joerg Herrmann, Reza Arsanjani, and Chadi Ayoub
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cardiotoxicity ,cardio-oncology ,chemotherapy ,echocardiography ,cardiac imaging ,Medicine - Abstract
The long-term survivorship of patients diagnosed with cancer has improved due to accelerated detection and rapidly evolving cancer treatment strategies. As such, the evaluation and management of cancer therapy related complications has become increasingly important, including cardiovascular complications. These have been captured under the umbrella term “cardiotoxicity” and include left ventricular dysfunction and heart failure, acute coronary syndromes, valvular abnormalities, pericardial disease, arrhythmia, myocarditis, and vascular complications. These complications add to the burden of cardiovascular disease (CVD) or are risk factors patients with cancer treatment are presenting with. Of note, both pre- and newly developing CVD is of prognostic significance, not only from a cardiovascular perspective but also overall, potentially impacting the level of cancer therapy that is possible. Currently, there are varying recommendations and practices regarding CVD risk assessment and mitigating strategies throughout the cancer continuum. This article provides an overview on this topic, in particular, the role of cardiac imaging in the care of the patient with cancer. Furthermore, it summarizes the current evidence on the spectrum, prevention, and management of chemotherapy-related adverse cardiac effects.
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- 2024
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12. Echocardiography-Based Deep Learning Model to Differentiate Constrictive Pericarditis and Restrictive Cardiomyopathy
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Chao, Chieh-Ju, Jeong, Jiwoong, Arsanjani, Reza, Kim, Kihong, Tsai, Yi-Lin, Yu, Wen-Chung, Farina, Juan M., Mahmoud, Ahmed K., Ayoub, Chadi, Grogan, Martha, Kane, Garvan C., Banerjee, Imon, and Oh, Jae K.
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- 2024
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13. Artificial intelligence-enabled electrocardiogram (AI-ECG) does not predict atrial fibrillation following patent foramen ovale closure
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Baqal, Omar, Habib, Eiad A., Hasabo, Elfatih A., Galasso, Francesca, Barry, Timothy, Arsanjani, Reza, Sweeney, John P., Noseworthy, Peter, and David Fortuin, F.
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- 2024
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14. Incidence of Severe Adverse Drug Reactions to Ultrasound Enhancement Agents in a Contemporary Echocardiography Practice
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Ali, Mays T., Johnson, Mark, Irwin, Timothy, Henry, Sonia, Sugeng, Lissa, Kansal, Sarita, Allison, Thomas G., Bremer, Merri L., Jones, Victoria R., Martineau, Michael D., Wong, Connie, Marecki, Gregory, Stebbins, Julie, Michelena, Hector I., McCully, Robert B., Svatikova, Anna, Padang, Ratnasari, Scott, Christopher G., Kanuga, Mansi J., Arsanjani, Reza, Pellikka, Patricia A., Kane, Garvan C., and Thaden, Jeremy J.
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- 2024
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15. Artificial Intelligence Assists in the Early Identification of Cardiac Amyloidosis
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Courtney R. Kenyon, Milagros Pereyra Pietri, Julie L. Rosenthal, Reza Arsanjani, and Chadi Ayoub
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artificial intelligence ,electrocardiography ,echocardiography ,MRI ,cardiac amyloidosis ,case report ,Medicine - Abstract
A 69-year-old female presented with symptomatic atrial fibrillation. Cardiac amyloidosis was suspected due to an artificial intelligence clinical tool applied to the presenting electrocardiogram predicting a high probability for amyloidosis, and the subsequent unexpected finding of left atrial appendage thrombus reinforced this clinical suspicion. This facilitated an early diagnosis by the biopsy of AL cardiac amyloidosis and the prompt initiation of targeted therapy. This case highlights the utilization of an AI clinical tool and its impact on clinical care, particularly for the early detection of a rare and difficult to diagnose condition where early therapy is critical.
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- 2024
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16. Multi-Modality Imaging in Vasculitis
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Mohamed N. Allam, Nima Baba Ali, Ahmed K. Mahmoud, Isabel G. Scalia, Juan M. Farina, Mohammed Tiseer Abbas, Milagros Pereyra, Moaz A. Kamel, Kamal A. Awad, Yuxiang Wang, Timothy Barry, Steve S. Huang, Ba D. Nguyen, Ming Yang, Clinton E. Jokerst, Felipe Martinez, Chadi Ayoub, and Reza Arsanjani
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vasculitis ,giant cell arteritis ,Takayasu’s arteritis ,polyarteritis nodosa ,Kawasaki disease ,granulomatosis with polyangiitis ,Medicine (General) ,R5-920 - Abstract
Systemic vasculitides are a rare and complex group of diseases that can affect multiple organ systems. Clinically, presentation may be vague and non-specific and as such, diagnosis and subsequent management are challenging. These entities are typically classified by the size of vessel involved, including large-vessel vasculitis (giant cell arteritis, Takayasu’s arteritis, and clinically isolated aortitis), medium-vessel vasculitis (including polyarteritis nodosa and Kawasaki disease), and small-vessel vasculitis (granulomatosis with polyangiitis and eosinophilic granulomatosis with polyangiitis). There are also other systemic vasculitides that do not fit in to these categories, such as Behcet’s disease, Cogan syndrome, and IgG4-related disease. Advances in medical imaging modalities have revolutionized the approach to diagnosis of these diseases. Specifically, color Doppler ultrasound, computed tomography and angiography, magnetic resonance imaging, positron emission tomography, or invasive catheterization as indicated have become fundamental in the work up of any patient with suspected systemic or localized vasculitis. This review presents the key diagnostic imaging modalities and their clinical utility in the evaluation of systemic vasculitis.
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- 2024
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17. How Artificial Intelligence Can Enhance the Diagnosis of Cardiac Amyloidosis: A Review of Recent Advances and Challenges
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Moaz A. Kamel, Mohammed Tiseer Abbas, Christopher N. Kanaan, Kamal A. Awad, Nima Baba Ali, Isabel G. Scalia, Juan M. Farina, Milagros Pereyra, Ahmed K. Mahmoud, D. Eric Steidley, Julie L. Rosenthal, Chadi Ayoub, and Reza Arsanjani
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cardiac amyloidosis ,artificial intelligence ,deep-learning ,convolutional neural networks ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Cardiac amyloidosis (CA) is an underdiagnosed form of infiltrative cardiomyopathy caused by abnormal amyloid fibrils deposited extracellularly in the myocardium and cardiac structures. There can be high variability in its clinical manifestations, and diagnosing CA requires expertise and often thorough evaluation; as such, the diagnosis of CA can be challenging and is often delayed. The application of artificial intelligence (AI) to different diagnostic modalities is rapidly expanding and transforming cardiovascular medicine. Advanced AI methods such as deep-learning convolutional neural networks (CNNs) may enhance the diagnostic process for CA by identifying patients at higher risk and potentially expediting the diagnosis of CA. In this review, we summarize the current state of AI applications to different diagnostic modalities used for the evaluation of CA, including their diagnostic and prognostic potential, and current challenges and limitations.
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- 2024
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18. Role of Genetics in Diagnosis and Management of Hypertrophic Cardiomyopathy: A Glimpse into the Future
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Mohammed Tiseer Abbas, Nima Baba Ali, Juan M. Farina, Ahmed K. Mahmoud, Milagros Pereyra, Isabel G. Scalia, Moaz A. Kamel, Timothy Barry, Steven J. Lester, Charles R. Cannan, Rohit Mital, Susan Wilansky, William K. Freeman, Chieh-Ju Chao, Said Alsidawi, Chadi Ayoub, and Reza Arsanjani
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hypertrophic cardiomyopathy ,sarcomeric genes ,next-generation sequencing ,whole exome sequencing ,phenocopies ,cascade testing ,Biology (General) ,QH301-705.5 - Abstract
Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiomyopathy. It follows an autosomal dominant inheritance pattern in most cases, with incomplete penetrance and heterogeneity. It is familial in 60% of cases and most of these are caused by pathogenic variants in the core sarcomeric genes (MYH7, MYBPC3, TNNT2, TNNI3, MYL2, MYL3, TPM1, ACTC1). Genetic testing using targeted disease-specific panels that utilize next-generation sequencing (NGS) and include sarcomeric genes with the strongest evidence of association and syndrome-associated genes is highly recommended for every HCM patient to confirm the diagnosis, identify the molecular etiology, and guide screening and management. The yield of genetic testing for a disease-causing variant is 30% in sporadic cases and up to 60% in familial cases and in younger patients with typical asymmetrical septal hypertrophy. Genetic testing remains challenging in the interpretation of results and classification of variants. Therefore, in 2015 the American College of Medical Genetics and Genomics (ACMG) established guidelines to classify and interpret the variants with an emphasis on the necessity of periodic reassessment of variant classification as genetic knowledge rapidly expands. The current guidelines recommend focused cascade genetic testing regardless of age in phenotype-negative first-degree relatives if a variant with decisive evidence of pathogenicity has been identified in the proband. Genetic test results in family members guide longitudinal clinical surveillance. At present, there is emerging evidence for genetic test application in risk stratification and management but its implementation into clinical practice needs further study. Promising fields such as gene therapy and implementation of artificial intelligence in the diagnosis of HCM are emerging and paving the way for more effective screening and management, but many challenges and obstacles need to be overcome before establishing the practical implications of these new methods.
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- 2024
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19. Cardiac Allograft Vasculopathy: Challenges and Advances in Invasive and Non-Invasive Diagnostic Modalities
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Moaz A. Kamel, Isabel G. Scalia, Amro T. Badr, Nima Baba Ali, Juan M. Farina, Milagros Pereyra, Mohammed Tiseer Abbas, Ahmed K. Mahmoud, Robert L. Scott, David E. Steidley, Julie L. Rosenthal, Lisa M. Lemond, Kristen A. Sell-Dottin, Brian W. Hardaway, Timothy Barry, Ming Yang, Chieh-Ju Chao, Clinton E. Jokerst, Chadi Ayoub, and Reza Arsanjani
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cardiac allograft vasculopathy ,angiography ,echocardiography ,nuclear imaging ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Cardiac allograft vasculopathy (CAV) is a distinct form of coronary artery disease that represents a major cause of death beyond the first year after heart transplantation. The pathophysiology of CAV is still not completely elucidated; it involves progressive circumferential wall thickening of both the epicardial and intramyocardial coronary arteries. Coronary angiography is still considered the gold-standard test for the diagnosis of CAV, and intravascular ultrasound (IVUS) can detect early intimal thickening with improved sensitivity. However, these tests are invasive and are unable to visualize and evaluate coronary microcirculation. Increasing evidence for non-invasive surveillance techniques assessing both epicardial and microvascular components of CAV may help improve early detection. These include computed tomography coronary angiography (CTCA), single-photon emission computed tomography (SPECT), positron emission tomography (PET), and vasodilator stress myocardial contrast echocardiography perfusion imaging. This review summarizes the current state of diagnostic modalities and their utility and prognostic value for CAV and also evaluates emerging tools that may improve the early detection of this complex disease.
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- 2024
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20. An Evidence-Based Approach to Anticoagulation Therapy Comparing Direct Oral Anticoagulants and Vitamin K Antagonists in Patients With Atrial Fibrillation and Bioprosthetic Valves: A Systematic Review, Meta-Analysis, and Network Meta-Analysis
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Suppah, Mustafa, Kamal, Abdallah, Saadoun, Rakan, Baradeiya, Ahmed M.A., Abraham, Bishoy, Alsidawi, Said, Sorajja, Dan, Fortuin, F. David, and Arsanjani, Reza
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- 2023
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21. Using Augmented Mean Arterial Pressure to Identify High Mortality Risk Patients With Moderate Aortic Stenosis
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Chao, Chieh-Ju, Agasthi, Pradyumma, Girardo, Marlene, Barry, Timothy, Seri, Amith R., Brown, Lisa, Wraith, Rachel E., Shanbhag, Anusha, Wang, Yuxiang, Chen, Yi-Chieh, Lester, Steven J., Alsidawi, Said, Freeman, William K., Naqvi, Tasneem Z., Eleid, Mackram, Fortuin, David, Pollak, Peter, El Sabbagh, Abdallah, Sell-Dottin, Kristen, Majdalany, David, Larsen, Carolyn, Holmes, David R., Oh, Jae K., Appleton, Christopher P., and Arsanjani, Reza
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- 2023
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22. Impact of Complete Revascularization in the ISCHEMIA Trial
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Boden, William, Harrington, Robert, Williams, David, Alexander, Karen P., Berger, Jeffrey, Mark, Daniel, Ballantyne, Christie, Beyar, Rafael, Bhargava, Balram, Buller, Chris, Carvalho, Antonio (Tony), Diaz, Rafael, Doerr, Rolf, Dzavik, Vladimir, Goodman, Shaun, Gosselin, Gilbert, Hachamovitch, Rory, Hamm, Christian, Held, Claes, Helm, Malte, Huber, Kurt, Jiang, Lixin, Keltai, Matyas, Kohsaka, Shun, Lang, Irene, Lopes, Renato, Lopez-Sendon, Jose, Maggioni, Aldo, Mancini, John, Bairey Merz, C. Noel, Min, James, Peterson, Eric, Ruzyllo, Witold, Selvanayagam, Joseph, Senior, Roxy, Sharir, Tali, Steg, Gabriel, Szwed, Hanna, Van de Werf, Frans, Weintraub, William, White, Harvey, Calfas, Karen, Champagne, Mary Ann, Davidson, Michael, Fleg, Jerome, McCullough, Peter A., Newman, Jonathan, Stone, Peter, Menasche, Philippe, Fremes, Stephen, Guyton, Robert, Mack, Michael, Mohr, Fred, Rao, Anupama, Sabik, Joe, Shapira, Oz, Taggart, David, Tatoulis, James, Blankenship, Jim, Brener, Sorin, Colombo, Antonio, de Bruyne, Bernard, Kereiakes, Dean, Lefevre, Thierry, Moses, Jeffrey, Mahaffey, Ken, Cruz-Flores, Salvador, Danchin, Nicholas, Feen, Eli, Garcia, Mario J., Hauptman, Paul, Laddu, Abhay A., Passamani, Eugene, Pina, Ileana L., Simoons, Maarten, Skali, Hicham, Thygesen, Kristian, Waters, David, Endsley, Patricia, Esposito, Gerard, Kanters, Jeffrey, Pownall, John, Stournaras, Dimitrios, Friedrich, Matthias, Kwong, Raymond, Oliver, Dana, Harrell, Frank, Blume, Jeffrey, Lee, Kerry, Kullo, Iftikhar, McManus, Bruce, Newby, Kristin, Cohen, David, Bugiardini, Raffaele, Celutkiene, Jelena, Escobedo, Jorge, Hoye, Angela, Lyubarova, Radmila, Mattina, Deirdre, Peteiro, Jesus, Smanio, Paola, Berman, Dan, Leipsic, Jonathan, Mathew, Roy, Sidhu, Mandeep, Friedman, Lawrence, Anderson, Jeffrey, Berg, Jessica, DeMets, David, Gibson, C. Michael, Lamas, Gervasio, Deming, Nicole, Himmelfarb, Jonathan, Ouyang, Pamela, Woodard, Pamela, Nwosu, Samuel, Kirby, Ruth, Jeffries, Neal, Denaro, Jean E., Mavromichalis, Stephanie, Chan, Kevin, Cobb, Gia, Contreras, Aira, Cukali, Diana, Ferket, Stephanie, Gabriel, Andre, Hansen, Antonietta, Roberts, Arline, Naumova, Anna, Chang, Michelle, Islam, Sharder, Wayser, Graceanne, Yakubov, Solomon, Yee, Michelle, Callison, Caroline, Hogan, Isabelle, Qelaj, Albertina, Pirro, Charlotte, Van Loo, Kerrie, Wisniewski, Brianna, Gilsenan, Margaret, Lang, Bevin, Mohamed, Samaa, Esquenazi-Karonika, Shari, Mathews, Patenne, Setang, Vincent, Xavier, Mark, Bagai, Akshay, Broderick, Samuel, Crowder, Michelle, Cyr, Derek, Garg, Jyotsna, Gu, Xiangqiong, Hatch, Lisa, Heath, Anne, Huang, Zhen, Leimberger, Jeff, Marcus, Jill, Page, Courtney, Parker, Wanda, Pennachi, Wayne, Rockhold, Frank, Stevens, Susanna, Stone, Allegra, Thompson, Omar, Ussery, Sheri, White, Jennifer, Williams, Mary (Kaye), Xing, Weibing, Zhu, Songlin, Anstrom, Kevin, Baloch, Khaula, Blount, Janet, Cowper, Patricia, Davidson-Ray, Linda, Drew, Laura, Harding, Tina, Knight, J David, Minshall Liu, Diane, O’Neal, Betsy, Redick, Thomas, Jones, Philip, Nugent, Karen, Jingyan Wang, Grace, Phillips, Lawrence, Goyal, Abhinav, Hetrick, Holly, Hayes, Sean W., Friedman, John D., Gerlach, R. James, Hyun, Mark, Miranda-Peats, Romalisa, Slomka, Piotr, Thomson, Louise, Kwong, Raymond Y., Mongeon, Francois Pierre, Michael, Steven, Hung, Judy, Scherrer-Crosbie, Marielle, Zeng, Xin, Eckstein, Jane, Guruge, Bandula, Streif, Mary, Alfonso, Maria A., Corral, Maria P., Garcia, Javier J., Jankovic, Ivana, Konigstein, Maayan, Lustre, Mitchel B., Peralta, Yolayfi, Sanchez, Raquel, Arsanjani, Reza, Budoff, Matthew, Elmore, Kimberly, Gomez, Millie, Hague, Cameron, Hindoyan, Niree, Mancini, GB John, Nakanishi, Rine, Srichai-Parsia, M. Barbara, Yeoh, Eunice, Youn, Tricia, Maggioni, Aldo P., Bianchini, Francesca, Ceseri, Martina, Lorimer, Andrea, Magnoni, Marco, Orso, Francesco, Sarti, Laura, Tricoli, Martinia, Carvalho, Antonio, Barbosa, Lilian Mazza, Bello Duarte, Tauane, Colaiácovo Soares, Tamara, de Aveiro Morata, Julia, Carvalho, Pedro, de Carvalho Maffei, Natalia, Egydio, Flávia, Kawakami, Anelise, Oliveira, Janaina, Restelli Piloto, Elissa, Pozzibon, Jaqueline, Camara, Diane, Mowafy, Neamat, Spindler, Caroline, Dai, Hao, Feng, Fang, Li, Jia, Li, Li, Liu, Jiamin, Xie, Qiulan, Zhang, Haibo, Zhang, Jianxin, Zhang, Lihua, Zhang, Liping, Zhang, Ning, Zhong, Hui, Escobar, Claudia, Martin, Maria Eugenia, Pascual, Andrea, Lopez-Sendon, José, Moraga, Paloma, Hernandez, Victoria, Castro, Almudena, Posada, Maria, Fernandez, Sara, Narro Villanueva, José Luis, Selgas, Rafael, Abergel, Helene, Juliard, Jean Michel, Alsweiler, Caroline, Claes, Kathleen, Goetschalckx, Kaatje, Luyten, Ann, Robesyn, Valerie, Selvanayagam, Joseph B., Murphy, Deirdre, Garcevic, Nevena, Stojkovic, Jelena, Ahmed, Asker, Bhatt, Richa, Chadha, Nitika, Kumar, Vijay, Lubna, Sadath, Naik, Pushpa, Pandey, Shruti, Ramasamy, Karthik, Saleem, Mohammed, Sharma, Pratiksha, Siddaram, Hemalata, Stone, Gregg W., Ali, Ziad A., O’Brien, Sean M., Rhodes, Grace, Genereux, Philippe, Bangalore, Sripal, Mavromatis, Kreton, Horst, Jennifer, Dressler, Ovidiu, Poh, Kian Keong, Nath, Ranjit K., Moorthy, Nagaraja, Witkowski, Adam, Dwivedi, Sudhanshu K., Bockeria, Olga, Chen, Jiyan, Smanio, Paola E.P., Picard, Michael H., Chaitman, Bernard R., Berman, Daniel S., Shaw, Leslee J., Boden, William E., White, Harvey D., Fremes, Stephen E., Rosenberg, Yves, Reynolds, Harmony R., Spertus, John A., Hochman, Judith S., and Maron, David J.
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- 2023
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23. Topological Data Analysis Identified Prognostically-Distinct Phenotypes in Transcatheter Edge-to-Edge Repair Patients
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Chao, Chieh-Ju, Barry, Timothy, Seri, Amith, El Shaer, Ahmed, Ponce, Nadia Chavez, Chakraborty, Soham, Smith, Sean, Alkhouli, Mohamad, Thaden, Jeremy, Fortuin, David, Sweeney, John P., Eleid, Mackram, Rihal, Charanjit S., Holmes, David R., Pollak, Peter M., El Sabbagh, Abdallah, Lester, Steven J., Oh, Jae K., Shen, Win-Kuang, Banerjee, Imon, and Arsanjani, Reza
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- 2023
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24. Gastroenteropancreatic Neuroendocrine Tumor Metastasis to the Heart: Evaluation of Imaging Manifestations
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Wang, Yuxiang, Ayoub, Chadi, Yang, Aaron F., Sonbol, Mohamad B., Butterfield, Richard, Halfdanarson, Thorvardur R., Arsanjani, Reza, Zhu, Wuqiang, and Yang, Ming
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- 2023
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25. Light on valvular bumps
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Majdalany, David S., Arsanjani, Reza, and Naqvi, Tasneem Z.
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- 2023
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26. Identifying the Causes of Unexplained Dyspnea at High Altitude Using Normobaric Hypoxia with Echocardiography.
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Jan Stepánek, Juan Maria Farina, Ahmed K. Mahmoud, Chieh-Ju Chao, Said Alsidawi, Chadi Ayoub, Timothy Barry, Milagros Pereyra, Isabel G. Scalia, Mohammed Tiseer Abbas, Rachel E. Wraith, Lisa S. Brown, Michael S. Radavich, Pamela J. Curtisi, Patricia C. Hartzendorf, Elizabeth M. Lasota, Kyley N. Umetsu, Jill M. Peterson, Kristin E. Karlson, Karen Breznak, David F. Fortuin, Steven J. Lester, and Reza Arsanjani
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- 2024
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27. Abstract 14695: Artificial Intelligence Applied to the Electrocardiogram Predicts Outcomes in Patients With Severe Aortic Stenosis and Potential Cardiac Amyloidosis Undergoing Transcatheter Aortic Valve Replacement
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Pereyra, Milagros, FARINA, JUAN, Mahmoud, Ahmed K., Scalia, Isabel G, Galasso, Francesca, Killian, Michael E, Suppah, Mustafa, Chao, Chieh-Ju, Sweeney, John P, Fortuin, Floyd D, Rosenthal, Julie, Arsanjani, Reza, and Ayoub, Chadi
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- 2023
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28. Abstract 13182: Comparison of Actual and Theoretical Aortic Valve Calcium Score to Assess TAVR Referral Delay in Patients With Atrial Fibrillation
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Masson, Rajeev, Abraham, Bishoy, Nkomo, Vuyisile T, Holmes, David R, Pislaru, Sorin, Arsanjani, Reza, Chao, Chieh-Ju, Klanderman, Molly, Morsey, Mahmoud, Sell-Dottin, Kristen, Baqal, Omar, Fortuin, Floyd D, Sweeney, John, and Alsidawi, Said
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- 2023
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29. Abstract 13020: Trend and Disparities in Cardiovascular Death in Amyloidosis: A Population-Based Retrospective Study in the United States From 1999 to 2020
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Tan, Min Choon, Yeo, Yong Hao, San, Boon Jian, Arsanjani, Reza, Rosenthal, Julie, and Lee, Kwan S
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- 2023
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30. Abstract 12116: Identifying the Underlying Causes of Unexplained Dyspnea at High Altitude Using Normobaric Hypoxia With Transthoracic Echocardiography
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Stepanek, Jan, Mahmoud, Ahmed K., FARINA, JUAN M, Chao, Chieh-Ju, Alsidawi, Said, Ayoub, Chadi, Barry, Timothy, Wraith, Rachel E, Brown, Lisa S, Radavich, Michael S, Curtisi, Pamela J, Hartzendorf, Patricia C, Lasota, Elizabeth M, Umetsu, Kyley N, Peterson, Jill M, Karlson, Kristin E, Breznak, Karen K, Lester, Steven J, and Arsanjani, Reza
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- 2023
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31. Abstract 11685: Effects of Pectus Excavatum Surgical Repair on Cardiac Volumes and Systolic Function as Assessed by 3D Transesophageal Echocardiography
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FARINA, JUAN M, Mandale, Deepa R, Jaroszewski, Dawn E, Aly, Mohamed R, Botros, Michael M, Moosavi, Ryan S, Narayanasamy, Hemalatha, Larsen, Carolyn M, Chaliki, Hari P, Majdalany, David, freeman, william, Alsidawi, Said, Lester, Steven J, Ayoub, Chadi, Wilansky, Susan, Arsanjani, Reza, and Naqvi, Tasneem Z
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- 2023
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32. Activating transcription factor 3 inhibits NF‑κB p65 signaling pathway and mediates apoptosis and cell cycle arrest in cervical cancer cells
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Amirhossein Akbarpour Arsanjani, Haniyeh Abuei, Abbas Behzad-Behbahani, Zahra Bagheri, Rita Arabsolghar, and Ali Farhadi
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ATF3 ,NF-κB ,Ca Ski ,HPV16 ,Cervical cancer ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 ,Infectious and parasitic diseases ,RC109-216 - Abstract
Abstract Background As a novel tumor suppressor mediator, activating transcription factor 3 (ATF3) has recently aroused an interest in its possible therapeutic applications in various cancers. In this study, we evaluated the effect of ATF3 overexpression on the cellular level of nuclear factor kappa B (NF-κB) in human papillomavirus (HPV)-infected Ca Ski cells. Further, we examined whether ATF3 could mediate cell cycle arrest and alter the apoptosis level of Ca Ski cells. Methods The biological behavior of Ca Ski cells was evaluated prior and subsequent to the overexpression of ATF3 by MTT assay, fluorescence microscopy, cell cycle and annexin V/PI flow cytometric analysis. The effect of ectopic ATF3 expression on the cellular level of NF-κB in HPV-positive cells was evaluated by western blotting assay. Results The overexpression of ATF3 in Ca Ski cells led to significant apoptosis and cell cycle arrest in the G1 phase. Western blotting assay revealed a discernible reduction of NF-κB p65 level in cervical cancer cells. Conclusion ATF3 acts as a tumor suppressor factor in HPV16-infected Ca Ski cells and exerts anti-cancer effects on HPV16-related cervical cancer cells potentially by hindering cell growth and inducing cell cycle arrest through the down-regulation of NF-κB. Our results suggest that ATF3 induction or NF-κB suppression may be useful targets for HPV16-related cervical cancer prevention and treatment.
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- 2022
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33. Current Management and Future Directions for Pulmonary Arterial Hypertension Associated with Congenital Heart Disease
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Ahmed K. Mahmoud, Mohammed Tiseer Abbas, Moaz A. Kamel, Juan M. Farina, Milagros Pereyra, Isabel G. Scalia, Timothy Barry, Chieh-Ju Chao, Francois Marcotte, Chadi Ayoub, Robert L. Scott, David S. Majdalany, and Reza Arsanjani
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pulmonary hypertension ,congenital heart disease ,sildenafil ,bosentan ,macitentan ,epoprostenol ,Medicine - Abstract
Current management of patients with congenital heart disease has increased their survival into adulthood. This is accompanied by potential cardiac complications, including pulmonary hypertension associated with congenital heart disease (PAH-CHD). PAH-CHD constitutes a challenging subgroup of pulmonary hypertension and requires expert management to improve quality of life and prognosis. Novel agents have shown a significant improvement in morbidity and mortality in patients with pulmonary arterial hypertension. However, the long-term effects of these medications on PAH-CHD patients remain somewhat uncertain, necessitating treatment plans largely founded on the clinical experience of the healthcare providers. The aim of this review is to summarize the current evidence and future perspectives regarding treatment strategies for PAH-CHD to help better guide management of this complex disease.
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- 2023
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34. Exploring the effect of COVID-19 pandemic lockdowns on urban cooling: A tale of three cities
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Mijani, Naeim, Karimi Firozjaei, Mohammad, Mijani, Moein, Khodabakhshi, Adeleh, Qureshi, Salman, Jokar Arsanjani, Jamal, and Alavipanah, Seyed Kazem
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- 2023
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35. Improved Right Ventricular Diastolic Function Assessed by Hepatic Vein Flow After Pectus Excavatum Repair
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Farina, Juan M., Jaroszewski, Dawn E., Arsanjani, Reza, Naqvi, Tasneem Z., Aly, Mohamed R., Freeman, William K., Larsen, Carolyn M., Marcotte, Francois, Lester, Steven J., Chaliki, Hari P., Narayanasamy, Hemalatha, Wilansky, Susan, and Appleton, Christopher P.
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- 2023
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36. Spatio-temporal variability of malaria infection in Chahbahar County, Iran: association with the ENSO and rainfall variability
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Nazemosadat, Seyed Mohammad Jafar, Shafiei, Reza, Ghaedamini, Habib, Najjari, Mohsen, Nazemosadat-Arsanjani, Zahra, and Hatam, Gholamreza
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- 2022
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37. Reassessing the molecular structures of some previously isolated abietane diterpenoids with a naphthalene moiety and the structure-activity relationship (SAR) of quinone diterpenoids
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Nazemosadat-Arsanjani, Zahra, Moein, Mahmoodreza, Yousuf, Sammer, Firuzi, Omidreza, and Choudhary, Muhammad Iqbal
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- 2022
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38. Sustainability Meets Information Technologies: Recent Developments and Future Perspectives
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Valderrama Pineda, Andrés Felipe Valderrama, primary, Skov, Iva Ridjan, additional, Dahy, Hanaa, additional, Jokar Arsanjani, Jamal, additional, Bonnevie, Ida Maria, additional, Børsen, Tom, additional, and Teli, Maurizio, additional
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- 2024
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39. Artificial Intelligence Assists in the Early Identification of Cardiac Amyloidosis
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Kenyon, Courtney R., primary, Pietri, Milagros Pereyra, additional, Rosenthal, Julie L., additional, Arsanjani, Reza, additional, and Ayoub, Chadi, additional
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- 2024
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40. Predictors of short-term and long-term effects of mavacamten in obstructive hypertrophic cardiomyopathy
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Roehl, Kaitlin M., primary, Farina, Juan Maria, additional, Suppah, Mustafa, additional, Arsanjani, Reza, additional, Lester, Steven J., additional, Geske, Jeffrey B., additional, and Alsidawi, Said, additional
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- 2024
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41. Disproportionately High Aortic Valve Calcium Scores in Atrial Fibrillation: Implications for Transcatheter Aortic Valve Replacement
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Masson, Rajeev, primary, Vuyisile, Nkomo T, additional, Holmes, David R, additional, Pislaru, Sorin V, additional, Arsanjani, Reza, additional, Chao, Chieh-Ju, additional, Klanderman, Molly, additional, Abraham, Bishoy, additional, Morsy, Mahmoud, additional, Fortuin, F David, additional, Sweeney, John P, additional, Sell-Dotten, Kristen, additional, and Alsidawi, Said, additional
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- 2024
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42. How Artificial Intelligence Can Enhance the Diagnosis of Cardiac Amyloidosis: A Review of Recent Advances and Challenges
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Kamel, Moaz A., primary, Abbas, Mohammed Tiseer, additional, Kanaan, Christopher N., additional, Awad, Kamal A., additional, Baba Ali, Nima, additional, Scalia, Isabel G., additional, Farina, Juan M., additional, Pereyra, Milagros, additional, Mahmoud, Ahmed K., additional, Steidley, David E., additional, Rosenthal, Julie L., additional, Ayoub, Chadi, additional, and Arsanjani, Reza, additional
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- 2024
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43. Assessment of Positive Cardiac Remodeling in Hypertrophic Obstructive Cardiomyopathy Using an AI-ECG Platform in Patients Treated With Mavacamten
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Suppah, Mustafa, primary, Roehl, Kaitlin, additional, Lew, Kate, additional, Arsanjani, Reza, additional, Lester, Steven, additional, Ommen, Steve, additional, Geske, Jeffrey, additional, Siontis, Konstantinos C., additional, Schaff, Hartzell, additional, and Alsidawi, Said, additional
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- 2024
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44. Role of Genetics in Diagnosis and Management of Hypertrophic Cardiomyopathy: A Glimpse into the Future
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Abbas, Mohammed Tiseer, primary, Baba Ali, Nima, additional, Farina, Juan M., additional, Mahmoud, Ahmed K., additional, Pereyra, Milagros, additional, Scalia, Isabel G., additional, Kamel, Moaz A., additional, Barry, Timothy, additional, Lester, Steven J., additional, Cannan, Charles R., additional, Mital, Rohit, additional, Wilansky, Susan, additional, Freeman, William K., additional, Chao, Chieh-Ju, additional, Alsidawi, Said, additional, Ayoub, Chadi, additional, and Arsanjani, Reza, additional
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- 2024
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45. The prognostic value of artificial intelligence to predict cardiac amyloidosis in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement
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Pereyra Pietri, Milagros, primary, Farina, Juan M, additional, Mahmoud, Ahmed K, additional, Scalia, Isabel G, additional, Galasso, Francesca, additional, Killian, Michael E, additional, Suppah, Mustafa, additional, Kenyon, Courtney R, additional, Koepke, Laura M, additional, Padang, Ratnasari, additional, Chao, Chieh-Ju, additional, Sweeney, John P, additional, Fortuin, F David, additional, Eleid, Mackram F, additional, Sell-Dottin, Kristen A, additional, Steidley, David E, additional, Scott, Luis R, additional, Fonseca, Rafael, additional, Lopez-Jimenez, Francisco, additional, Attia, Zachi I, additional, Dispenzieri, Angela, additional, Grogan, Martha, additional, Rosenthal, Julie L, additional, Arsanjani, Reza, additional, and Ayoub, Chadi, additional
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- 2024
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46. Activating transcription factor 3 inhibits NF‑κB p65 signaling pathway and mediates apoptosis and cell cycle arrest in cervical cancer cells
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Akbarpour Arsanjani, Amirhossein, Abuei, Haniyeh, Behzad-Behbahani, Abbas, Bagheri, Zahra, Arabsolghar, Rita, and Farhadi, Ali
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- 2022
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47. Aortic Valve Calcium Score by Computed Tomography as an Adjunct to Echocardiographic Assessment—A Review of Clinical Utility and Applications
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Isabel G. Scalia, Juan M. Farina, Ratnasari Padang, Clinton E. Jokerst, Milagros Pereyra, Ahmed K. Mahmoud, Tasneem Z. Naqvi, Chieh-Ju Chao, Jae K. Oh, Reza Arsanjani, and Chadi Ayoub
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aortic stenosis ,aortic valve calcium score ,computed tomography ,Photography ,TR1-1050 ,Computer applications to medicine. Medical informatics ,R858-859.7 ,Electronic computers. Computer science ,QA75.5-76.95 - Abstract
Aortic valve stenosis (AS) is increasing in prevalence due to the aging population, and severe AS is associated with significant morbidity and mortality. Echocardiography remains the mainstay for the initial detection and diagnosis of AS, as well as for grading of severity. However, there are important subgroups of patients, for example, patients with low-flow low-gradient or paradoxical low-gradient AS, where quantification of severity of AS is challenging by echocardiography and underestimation of severity may delay appropriate management and impart a worse prognosis. Aortic valve calcium score by computed tomography has emerged as a useful clinical diagnostic test that is complimentary to echocardiography, particularly in cases where there may be conflicting data or clinical uncertainty about the degree of AS. In these situations, aortic valve calcium scoring may help re-stratify grading of severity and, therefore, further direct clinical management. This review presents the evolution of aortic valve calcium score by computed tomography, its diagnostic and prognostic value, as well as its utility in clinical care.
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- 2023
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48. Artificial Intelligence-Based Prediction of Cardiovascular Diseases from Chest Radiography
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Juan M. Farina, Milagros Pereyra, Ahmed K. Mahmoud, Isabel G. Scalia, Mohammed Tiseer Abbas, Chieh-Ju Chao, Timothy Barry, Chadi Ayoub, Imon Banerjee, and Reza Arsanjani
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artificial intelligence ,chest radiography ,cardiovascular diseases ,deep learning ,Photography ,TR1-1050 ,Computer applications to medicine. Medical informatics ,R858-859.7 ,Electronic computers. Computer science ,QA75.5-76.95 - Abstract
Chest radiography (CXR) is the most frequently performed radiological test worldwide because of its wide availability, non-invasive nature, and low cost. The ability of CXR to diagnose cardiovascular diseases, give insight into cardiac function, and predict cardiovascular events is often underutilized, not clearly understood, and affected by inter- and intra-observer variability. Therefore, more sophisticated tests are generally needed to assess cardiovascular diseases. Considering the sustained increase in the incidence of cardiovascular diseases, it is critical to find accessible, fast, and reproducible tests to help diagnose these frequent conditions. The expanded focus on the application of artificial intelligence (AI) with respect to diagnostic cardiovascular imaging has also been applied to CXR, with several publications suggesting that AI models can be trained to detect cardiovascular conditions by identifying features in the CXR. Multiple models have been developed to predict mortality, cardiovascular morphology and function, coronary artery disease, valvular heart diseases, aortic diseases, arrhythmias, pulmonary hypertension, and heart failure. The available evidence demonstrates that the use of AI-based tools applied to CXR for the diagnosis of cardiovascular conditions and prognostication has the potential to transform clinical care. AI-analyzed CXRs could be utilized in the future as a complimentary, easy-to-apply technology to improve diagnosis and risk stratification for cardiovascular diseases. Such advances will likely help better target more advanced investigations, which may reduce the burden of testing in some cases, as well as better identify higher-risk patients who would benefit from earlier, dedicated, and comprehensive cardiovascular evaluation.
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- 2023
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49. Assessing the Effect of Urban Growth on Surface Ecological Status Using Multi-Temporal Satellite Imagery: A Multi-City Analysis
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Mohammad Karimi Firozjaei, Naeim Mijani, Saman Nadizadeh Shorabeh, Yasin Kazemi, Yasser Ebrahimian Ghajari, Jamal Jokar Arsanjani, Majid Kiavarz, and Seyed Kazem Alavipanah
- Subjects
Surface Ecological Status (SES) ,Remotely Sensed Ecological Index (RSEI) ,urban growth ,urban climate ,satellite imagery ,Geography (General) ,G1-922 - Abstract
Quantification of Surface Ecological Status (SES) changes is of great importance for understanding human exposure and adaptability to the environment. This study aims to assess the effect of urban growth on spatial and temporal changes of SES over a set of neighboring Iranian cities, Amol, Babol, Qaemshahr, and Sari, which are located in moderate and humid climate conditions. Firstly, the built-up footprint was prepared using Landsat images based on the Automatic Built-up Extraction Index (ABEI). Then, the surface biophysical characteristics were calculated. Secondly, the SES was modeled using the Remotely Sensed Ecological Index (RSEI), and the spatio-temporal changes of the SES were evaluated. The results revealed that the average RSEI for these cities increased from 0.48, 0.51, 0.53, and 0.55 in 1986 to 0.69, 0.77, 0.75, and 0.78 in 2022, respectively. The proportion of the poor ecological condition class in these cities rose from 10%, 3%, 5%, and 1% to 74%, 64%, 54%, and 41% during the 1986–2022 period. Our findings indicate that the SES of these cities significantly decreased while they experienced large physical growth. The findings and the methodical approach of the study provide a data-driven approach for monitoring SES in fast growing regions, which is required for studying the impact of climate change on society.
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- 2023
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50. Fully automated quantification of cardiac chamber and function assessment in 2-D echocardiography: clinical feasibility of deep learning-based algorithms
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Kim, Sekeun, Park, Hyung-Bok, Jeon, Jaeik, Arsanjani, Reza, Heo, Ran, Lee, Sang-Eun, Moon, Inki, Yoo, Sun Kook, and Chang, Hyuk-Jae
- Published
- 2022
- Full Text
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