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5. Rapid Fire Abstract: Coronary artery disease: the crucial role of imaging369Left ventricular longitudinal strain is superior to blood biomarkers in prediction of poor exercise capacity in patients with a first-ever STEMI370Early identification of STEMI patients treated with pPCI at risk to develop heart failure during follow-up: speckle tracking echocardiographic study371The clinical and cost effectiveness of stress echocardiography in patients with new onset chest pain and high pre-test probability372PROSPECT CMR study: PROgnostic Stratification in Patients with ST-Elevation myoCardialinfaction over Transthoracic echocardiography by CMR373Exercise induced changes in global longitudinal strain in patients with chest pain and normal troponin-t may identify and rule out coronary artery disease.

Author

Przewlocka-Kosmala, M., primary, Trifunovic, D., primary, Papachristidis, A., primary, Pontone, G., primary, Karlsen, S., primary, Woznicka, AK., additional, Rojek, A., additional, Mysiak, A., additional, Kosmala, W., additional, Krljanac, G., additional, Savic, L., additional, Asanin, M., additional, Lasica, R., additional, Matovic, D., additional, Stepanovic, J., additional, Stankovic, G., additional, Mrdovic, I., additional, Casar Demarco, D., additional, Roper, D., additional, Tsironis, I., additional, Papitsas, M., additional, Byrne, J., additional, Alfakih, K., additional, Monaghan, MJ., additional, Andreini, D., additional, Ferro, G., additional, Guaricci, AI., additional, Guglielmo, M., additional, Mushtaq, S., additional, Baggiano, A., additional, Carita', P., additional, Verdecchia, M., additional, Pepi, M., additional, Dahlslett, T., additional, Grenne, B., additional, Sjoli, B., additional, Smiseth, OA., additional, Edvardsen, T., additional, and Brunvand, H., additional

Published
2016
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6. Poster session 1: Wednesday 3 December 2014, 09:00-16:00Location: Poster area

Author

Tong, L., Huang, C., Ramalli, A., Tortoli, P., Luo, J., D'Hooge, J., Tzemos, N., Mordi, I., Bishay, T., Negishi, T., Hristova, K., Kurosawa, K., Bansal, M., Thavendiranathan, P., Yuda, S., Popescu, B., Vinereanu, D., Penicka, M., Marwick, T., Hamed, W., Kamel, M., Yaseen, R., El Barbary, H., Nemes, A., Kis, O., Gavaller, H., Kanyo, E., Forster, T., Angelis, A., Vlachopoulos, C., Ioakimidis, N., Felekos, I., Chrysohoou, C., Aznaouridis, K., Abdelrasoul, M., Terentes, D., Ageli, K., Stefanadis, C., Kurnicka, K., Domienik Karlowicz, J., Lichodziejewska, B., Goliszek, S., Grudzka, K., Krupa, M., Dzikowska Diduch, O., Ciurzynski, M., Pruszczyk, P., Capllonch, F. G., Ayerbe, J. L., Teis, A., Ferrer, E., Vallejo, N., Junca, G., Pla, R., Bayes Genis, A., Schwaiger, J., Knight, D., Gallimore, A., Schreiber, B., Handler, C., Coghlan, J., Bruno, R. M., Giardini, G., Malacrida, S., Catuzzo, B., Armenia, S., Brustia, R., Ghiadoni, L., Cauchy, E., Pratali, L., Kim, K., Lee, K., Cho, J., Yoon, H., Ahn, Y., Jeong, M., Park, J., Cho, S., Nastase, O., Enache, R., Mateescu, A., Botezatu, D., Ginghina, C., Gu, H., Sinha, M., Simpson, J., Chowienczyk, P., Fazlinezhad, A., Behesthi, A. T., Homaei, F., Mostafavi, H., Hosseini, G., Bakaeiyan, M., Boutsikou, M., Petrou, E., Dimopoulos, A., Dritsas, A., Leontiadis, E., Karatasakis, G., Sahin, S. T., Yurdakul, S., Yilmaz, N., Cengiz, B., Cagatay, Y., Aytekin, S., Yavuz, S., Karlsen, S., Dahlslett, T., Grenne, B., Sjoli, B., Smiseth, O., Edvardsen, T., Brunvand, H., Nasr, G., Nasr, A., Eleraki, A., Elrefai, S., Sonecki, P., Gustafsson, U., Naar, J., Stahlberg, M., Cerne, A., Capotosto, L., Rosato, Edoardo, D'Angeli, I., Azzano, A., Truscelli, G., Maio, M. D., Salsano, F., Terzano, C., Mangieri, E., Vitarelli, A., Renard, S., Najih, H., Mancini, J., Jacquier, A., Haentjens, J., Gaubert, J., Habib, G., Caminiti, G., D'Antoni, V., Cardaci, V., Conti, V., Volterrani, M., Ahn, J., Kim, D., Lee, H., Iliuta, L., Kim, S., Ryu, S., Ko, C., Pyun, Y., Yoon, S., Iudice, F. L., Esposito, R., Lembo, M., Santoro, C., Ballo, P., Mondillo, S., Simone, G. D., Galderisi, M., Hwang, Y., Kim, J., Moon, K., Yoo, K., Kim, C., Tagliamonte, E., Rigo, F., Cirillo, T., Caruso, A., Astarita, C., Cice, G., Quaranta, G., Romano, C., Capuano, N., Calabro', R., Zagatina, A., Zhuravskaya, N., Guseva, O., Huttin, O., Benichou, M., Voilliot, D., Venner, C., Micard, E., Girerd, N., Sadoul, N., Moulin, F., Juilliere, Y., Selton Suty, C., Baron, T., Christersson, C., Johansson, K., Flachskampf, F., Lee, S., Lee, J., Hur, S., Yun, J., Song, S., Kim, W., Ko, J., Nyktari, E., Bilal, S., Ali, S., Izgi, C., Prasad, S., Aly, M., Kleijn, S., Kandil, H., Kamp, O., Beladan, C., Calin, A., Rosca, M., Craciun, A., Gurzun, M., Calin, C., Mornos, C., Mornos, A., Ionac, A., Cozma, D., Crisan, S., Popescu, I., Ionescu, G., Petrescu, L., Camacho, S., Chulian, S. G., Carmona, R., Diaz, E., Giraldez, A., Gutierrez, A., Toro, R., Benezet, J., Antonini Canterin, F., Vriz, O., Carrubba, S. L., Poli, S., Leiballi, E., Zito, C., Careri, S., Caruso, R., Pellegrinet, M., Nicolosi, G., Kong, W., Kyu, K., Wong, R., Tay, E., Yip, J., Yeo, T., Poh, K., Correia, M., Delgado, A., Marmelo, B., Correia, E., Abreu, L., Cabral, C., Gama, P., Santos, O., Rahman, M., Borges, I. P., Peixoto, E., Peixoto, R., Marcolla, V., Okura, H., Kanai, M., Murata, E., Kataoka, T., Stoebe, S., Tarr, A., Pfeiffer, D., Hagendorff, A., Generati, G., Bandera, F., Pellegrino, M., Alfonzetti, E., Labate, V., Guazzi, M., Kuznetsov, V., Yaroslavskaya, E., Pushkarev, G., Krinochkin, D., Zyrianov, I., Carigi, S., Baldazzi, F., Bologna, F., Amati, S., Venturi, P., Grosseto, D., Biagetti, C., Fabbri, E., Arlotti, M., Piovaccari, G., Rahbi, H., Abdulhaq, A. B., Tleyjeh, I., Costantino, M., Tarsia, G., Innelli, P., Dores, E., Esposito, G., Matera, A., Trimarco, B., Mukred, K., Ashurov, R., Tanzilli, G., Merlo, M., Gigli, M., Stolfo, D., Pinamonti, B., Canterin, F. A., Muca, M., D'Angelo, G., Scapol, S., Nucci, M. D., Sinagra, G., Behaghel, A., Feneon, D., Fournet, M., Thebault, C., Martins, R., Mabo, P., Leclercq, C., Daubert, C., Donal, E., Pal, S. D., Chand, N. P., Sanjeev, A., Rajeev, M., Ankur, D., Gopal, S. R., Mzoughi, K., Zairi, I., Jabeur, M., Moussa, F. B., Chaabene, A. B., Kamoun, S., Mrabet, K., Fennira, S., Zargouni, A., Kraiem, S., Demkina, A., Hashieva, F., Krylova, N., Kovalevskaya, E., Potehkina, N., Zaroui, A., Said, R. B., Smaali, S., Rekik, B., Hlima, M. B., Mizouni, H., Mechmeche, R., Mourali, M., Malhotra, A., Sheikh, N., Dhutia, H., Siva, A., Narain, R., Merghani, A., Millar, L., Walker, M., Sharma, S., Papadakis, M., Siam Tsieu, V., Mansencal, N., Arslan, M., Deblaise, J., Dubourg, O., Boudiche, S., Larbi, N., Tababi, N., Hannachi, S., Chalbia, T., Halima, M. B., Boussada, R., Chistyakova, M. V., Govorin, A., Radaeva, E., Lipari, P., Bonapace, S., Valbusa, F., Rossi, A., Zenari, L., Lanzoni, L., Targher, G., Canali, G., Molon, G., Barbieri, E., Novo, G., Giambanco, S., Sutera, M., Bonomo, V., Giambanco, F., Rotolo, A., Evola, S., Assennato, P., Novo, S., Budnik, M., Piatkowski, R., Kochanowski, J., Opolski, G., Chatzistamatiou, E., Vagena, I. M., Manakos, K., Moustakas, G., Konstantinidis, D., Memo, G., Mitsakis, O., Kasakogias, A., Syros, P., Kallikazaros, I., Park, S., Kim, M., Shim, W., Marketou, M., Parthenakis, F., Kalyva, N., Pontikoglou, C., Maragkoudakis, S., Zacharis, E., Patrianakos, A., Maragoudakis, F., Papadaki, H., Vardas, P., Rodrigues, A., Perandini, L. A., Souza, T., Sa Pinto, A., Borba, E., Arruda, A., Furtado, M., Carvalho, F., Bonfa, E., Andrade, J., Hlubocka, Z., Malinova, V., Palecek, T., Danzig, V., Kuchynka, P., Dostalova, G., Zeman, J., Linhart, A., Trachanas, K., Vergi, N., Feretou, A., Corut, H., Sade, L. E., Ozin, B., Atar, I., Turgay, O., Muderrisoglu, H., Ledakowicz Polak, A., Polak, L., Krauza, G., Zielinska, M., Szulik, M., Streb, W., Wozniak, A., Lenarczyk, R., Sliwinska, A., Kalarus, Z., Kukulski, T., Nogueira, M., Branco, L., Agapito, A., Galrinho, A., Borba, A., Teixeira, P., Monteiro, A., Ramos, R., Cacela, D., Ferreira, R. C., Guala, A., Camporeale, C., Tosello, F., Canuto, C., Ridolfi, L., Traxanas, K., Marinov, R., Stamenov, G., Mihova, M., Persenska, S., Racheva, A., Plaskota, K., Trojnarska, O., Bartczak, A., Grajek, S., Bejiqi, R. R., Retkoceri, R., Bejiqi, H., Beha, A., Surdulli, S., Seya, M., Sasaoka, T., Hirasawa, K., Yoshikawa, S., Maejima, Y., Ashikaga, T., Hirao, K., Isobe, M., Dreyfus, J., Durand Viel, G., Cimadevilla, C., Brochet, E., Vahanian, A., Messika Zeitoun, D., Jin, C., Fang, F., Meng, F., Kam, K., Sun, J., Tsui, G., Wong, K., Wan, S., Yu, C., Lee, A., Cho, I. J., Chung, H., Heo, R., Ha, S., Hong, G., Shim, C., Chang, H., Ha, J., Chung, N., Moral, S., Gruosso, D., Galuppo, V., Teixido, G., Rodriguez Palomares, J., Gutierrez, L., Evangelista, A., Alexopoulos, A., Dawson, D., Nihoyannopoulos, P., Zainal, H. A., Ismail, J., Arshad, K., Ibrahim, Z., Lim, C., Rahman, E. A., Kasim, S., Peteiro, J., Barrio, A., Escudero, A., Bouzas Mosquera, A., Yanez, J., Martinez, D., Castro Beiras, A., Scali, M., Simioniuc, A., Mandoli, G., Lombardo, A., Massaro, F., Bello, V. D., Marzilli, M., Dini, F., Adachi, H., Tomono, J., Oshima, S., Ortega, G. M., Bustos, D. B., Garcia, R. L., Espino, A. S., Quinones, J. M., Ikuta, I., Lopez, M. R., Serrano, F. V., Gonzalez, J. B., Recio, M. G., Romano, G., D'Ancona, G., Pilato, G., Gesaro, G. D., Clemenza, F., Raffa, G., Scardulla, C., Sciacca, S., Lancellotti, P., Pilato, M., Addetia, K., Takeuchi, M., Maffessanti, F., Weinert, L., Hamilton, J., Mor Avi, V., Lang, R., Sugano, A., Seo, Y., Watabe, H., Kakefuda, Y., Aihara, H., Nishina, H., Ishizu, T., Fumikura, Y., Noguchi, Y., Aonuma, K., Luo, X., Shang, Q., Sammut, E. C., Chabinok, R., Jackson, T., Siarkos, M., Lee, L., Carr White, G., Rajani, R., Kapetanakis, S., Byrne, D., Walsh, J., Ellis, L., Mckiernan, S., Norris, S., King, G., Murphy, R., Katova, T., Simova, I., Kostova, V., Shuie, I., Ferferieva, V., Bogdanova, V., Castelon, X., Sasi, V., Domsik, P., Kalapos, A., Lengyel, C., Orosz, A., Grapsa, J., Demir, O., Sharma, R., Senior, R., Pilichowska, E., Zaborska, B., Baran, J., Stec, S., Kulakowski, P., Budaj, A., Herrera, J. E., Palacios, I. F., Mendoza, I., Marquez, J. A., Herrera, J. A., Octavio, J. A., Dempaire, G., Rotolo, M., Kosmala, W., Kaye, G., Saito, M., Negishi, K., Maceira, A. M., Ripoll, C., Cosin Sales, J., Igual, B., Salazar, J., Belloch, V., Dulai, R. S., Taylor, A., Gupta, S., and S. U. C., None

Published
2014

8. Poster session III * Friday 10 December 2010, 08:30-12:30

Author

Guldbrand, D., primary, Goetzsche, O., additional, Eika, B., additional, Watanabe, N., additional, Taniguchi, M., additional, Akagi, T., additional, Koide, N., additional, Sano, S., additional, Orbovic, B., additional, Obrenovic-Kircanski, B., additional, Ristic, S., additional, Soskic, L. J., additional, Alhabshan, F., additional, Jijeh, A., additional, Abo Remsh, H., additional, Alkhaldi, A., additional, Najm, H. K., additional, Gasior, Z., additional, Skowerski, M., additional, Kulach, A., additional, Szymanski, L., additional, Sosnowski, M., additional, Wang, M., additional, Siu, C. W., additional, Lee, K., additional, Yue, W. S., additional, Yan, G. H., additional, Lee, S., additional, Lau, C. P., additional, Tse, H. F., additional, O'connor, K., additional, Rosca, M., additional, Magne, J., additional, Romano, G., additional, Moonen, M., additional, Pierard, L. A., additional, Lancellotti, P., additional, Floria, M., additional, De Roy, L., additional, Blommaert, D., additional, Jamart, J., additional, Dormal, F., additional, Lacrosse, M., additional, Arsenescu Georgescu, C., additional, Mizariene, V., additional, Bucyte, S., additional, Bertasiute, A., additional, Pociute, E., additional, Zaliaduonyte-Peksiene, D., additional, Baronaite-Dudoniene, K., additional, Sileikiene, R., additional, Vaskelyte, J., additional, Jurkevicius, R., additional, Dencker, M., additional, Thorsson, O., additional, Karlsson, M. K., additional, Linden, C., additional, Wollmer, P., additional, Andersen, L. B., additional, Catalano, O., additional, Perotti, M. R., additional, Colombo, E., additional, De Giorgi, M., additional, Cattaneo, M., additional, Cobelli, F., additional, Priori, S. G., additional, Ober, C., additional, Iancu Adrian, I. A., additional, Andreea Parv, P. A., additional, Cadis Horatiu, C. H., additional, Ober Mihai, O. M., additional, Chmielecki, M., additional, Fijalkowski, M., additional, Galaska, R., additional, Dubaniewicz, W., additional, Lewicki, L., additional, Targonski, R., additional, Ciecwierz, D., additional, Puchalski, W., additional, Koprowski, A., additional, Rynkiewicz, A., additional, Hristova, K., additional, La Gerche, A., additional, Katova, T. Z., additional, Kostova, V., additional, Simova, Y., additional, Kempny, A., additional, Diller, G. P., additional, Orwat, S., additional, Kaleschke, G., additional, Kerckhoff, G., additional, Schmidt, R., additional, Radke, R. M., additional, Baumgartner, H., additional, Smarz, K., additional, Zaborska, B., additional, Jaxa-Chamiec, T., additional, Maciejewski, P., additional, Budaj, A., additional, Kiotsekoglou, A., additional, Govind, S. C., additional, Gadiyaram, V., additional, Moggridge, J. C., additional, Govindan, M., additional, Gopal, A. S., additional, Ramesh, S. S., additional, Brodin, L. A., additional, Saha, S. K., additional, Ramzy, I. S., additional, Lindqvist, P., additional, Lam, Y. Y., additional, Duncan, A. M., additional, Henein, M. Y., additional, Craciunescu, I. S., additional, Serban, M., additional, Iancu, M., additional, Revnic, C., additional, Popescu, B. A., additional, Alexandru, D., additional, Rogoz, D., additional, Uscatescu, V., additional, Ginghina, C., additional, Careri, G., additional, Di Monaco, A., additional, Nerla, R., additional, Tarzia, P., additional, Lamendola, P., additional, Sestito, A., additional, Lanza, G. A., additional, Crea, F., additional, Giannini, F., additional, Pinamonti, B., additional, Santangelo, S., additional, Perkan, A., additional, Vitrella, G., additional, Rakar, S., additional, Merlo, M., additional, Della Grazia, E., additional, Salvi, A., additional, Sinagra, G., additional, Scislo, P., additional, Kochanowski, J., additional, Piatkowski, R., additional, Roik, M., additional, Postula, M., additional, Opolski, G., additional, Castillo, J., additional, Herszkowicz, N., additional, Ferreira, C., additional, Lonnebakken, M. T., additional, Staal, E. M., additional, Nordrehaug, J. E., additional, Gerdts, E., additional, Przewlocka-Kosmala, M., additional, Orda, A., additional, Karolko, B., additional, Bajraktari, G., additional, Gustafsson, U., additional, Holmgren, A., additional, Frattini, S., additional, Faggiano, P., additional, Zilioli, V., additional, Locantore, E., additional, Longhi, S., additional, Bellandi, F., additional, Faden, G., additional, Triggiani, M., additional, Dei Cas, L., additional, Seo, S. M., additional, Jung, H. O., additional, An, S. H., additional, Jung, S. Y., additional, Park, C. S., additional, Jeon, H. K., additional, Youn, H. J., additional, Chung, W. B., additional, Kim, J. H., additional, Uhm, J. S., additional, Mampuya, W., additional, Brochu, M. C., additional, Do, D. H., additional, Essadiqi, B., additional, Farand, P., additional, Lepage, S., additional, Daly, M. J., additional, Monaghan, M., additional, Hamilton, A., additional, Lockhart, C., additional, Kodoth, V., additional, Maguire, C., additional, Morton, A., additional, Manoharan, G., additional, Spence, M. S., additional, Streb, W., additional, Mitrega, K., additional, Nowak, J., additional, Duszanska, A., additional, Szulik, M., additional, Kalinowski, M., additional, Kukulski, T., additional, Kalarus, Z., additional, Calvo Iglesias, F. E., additional, Solla-Ruiz, I., additional, Villanueva-Benito, I., additional, Paredes-Galan, E., additional, Bravo-Amaro, M., additional, Iniguez-Romo, A., additional, Yildirimturk, O., additional, Helvacioglu, F. F., additional, Tayyareci, Y., additional, Yurdakul, S., additional, Demiroglu, I. C., additional, Aytekin, S., additional, Enache, R., additional, Piazza, R., additional, Muraru, D., additional, Roman-Pognuz, A., additional, Calin, A., additional, Leiballi, E., additional, Antonini-Canterin, F., additional, Nicolosi, G. L., additional, Ridard, C., additional, Bellouin, A., additional, Thebault, C., additional, Laurent, M., additional, Donal, E., additional, Sutandar, A., additional, Siswanto, B. B., additional, Irmalita, I., additional, Harimurti, G., additional, Saxena, A., additional, Ramakrishnan, S., additional, Roy, A., additional, Krishnan, A., additional, Misra, P., additional, Bhargava, B., additional, Poole-Wilson, P. A., additional, Loegstrup, B. B., additional, Andersen, H. R., additional, Poulsen, S. H., additional, Klaaborg, K. E., additional, Egeblad, H. E., additional, Gu, X., additional, Gu, X. Y., additional, He, Y. H., additional, Li, Z. A., additional, Han, J. C., additional, Chen, J., additional, Mansencal, N., additional, Mitry, E., additional, Rougier, P., additional, Dubourg, O., additional, Villarraga, H., additional, Adjei-Twum, K., additional, Cudjoe, T. K. M., additional, Clavell, A., additional, Schears, R. M., additional, Cabrera Bueno, F., additional, Molina Mora, M. J., additional, Fernandez Pastor, J., additional, Linde Estrella, A., additional, Pena Hernandez, J. L., additional, Isasti Aizpurua, G., additional, Carrasco Chinchilla, F., additional, Barrera Cordero, A., additional, Alzueta Rodriguez, F. J., additional, De Teresa Galvan, E., additional, Gaetano Contegiacomo, G. C., additional, Francesco Pollice, F. P., additional, Paolo Pollice, P. P., additional, Kontos, M. C., additional, Shin, D. H., additional, Yoo, S. Y., additional, Lee, C. K., additional, Jang, J. K., additional, Jung, S. I., additional, Song, S. I., additional, Seo, S. I., additional, Cheong, S. S., additional, Peteiro, J., additional, Perez-Perez, A., additional, Bouzas-Mosquera, A., additional, Pineiro, M., additional, Pazos, P., additional, Campo, R., additional, Castro-Beiras, A., additional, Gaibazzi, N., additional, Rigo, F., additional, Sartorio, D., additional, Reverberi, C., additional, Sitia, S., additional, Tomasoni, L., additional, Gianturco, L., additional, Ghio, L., additional, Stella, D., additional, Greco, P., additional, De Gennaro Colonna, V., additional, Turiel, M., additional, Cicala, S., additional, Magagnin, V., additional, Caiani, E., additional, Kyrzopoulos, S., additional, Tsiapras, D., additional, Domproglou, G., additional, Avramidou, E., additional, Voudris, V., additional, Wierzbowska-Drabik, K., additional, Lipiec, P., additional, Chrzanowski, L., additional, Roszczyk, N., additional, Kupczynska, K., additional, Kasprzak, J. D., additional, Sachpekidis, V., additional, Bhan, A., additional, Gianstefani, S., additional, Reiken, J., additional, Paul, M., additional, Pearson, P., additional, Harries, D., additional, Monaghan, M. J., additional, Dale, K., additional, Stoylen, A., additional, Kodali, V., additional, Toole, R., additional, Raju, P., additional, Mcintosh, R. A., additional, Silberbauer, J., additional, Baumann, O., additional, Patel, N. R., additional, Sulke, N., additional, Trivedi, U., additional, Hyde, J., additional, Venn, G., additional, Lloyd, G., additional, Wejner-Mik, P., additional, Wierzbowska, K., additional, Lowenstein, J. A., additional, Caniggia, C., additional, Garcia, A., additional, Amor, M., additional, Casso, N., additional, Lowenstein Haber, D., additional, Porley, C., additional, Zambrana, G., additional, Daru, V., additional, Deljanin Ilic, M., additional, Ilic, S., additional, Kalimanovska Ostric, D., additional, Stoickov, V., additional, Zdravkovic, M., additional, Paraskevaidis, I., additional, Ikonomidis, I., additional, Parissis, J., additional, Papadopoulos, C., additional, Stasinos, V., additional, Bistola, V., additional, Anastasiou-Nana, M., additional, Gudin Uriel, M., additional, Balaguer Malfagon, J. R., additional, Perez Bosca, J. L., additional, Ridocci Soriano, F., additional, Martinez Alzamora, N., additional, Paya Serrano, R., additional, Ciampi, Q., additional, Pratali, L., additional, Della Porta, M., additional, Petruzziello, B., additional, Villari, B., additional, Picano, E., additional, Sicari, R., additional, Rosner, A., additional, Avenarius, D., additional, Malm, S., additional, Iqbal, A., additional, Baltabaeva, A., additional, Sutherland, G. R., additional, Bijnens, B., additional, Myrmel, T., additional, Andersen, M., additional, Gustafsson, F., additional, Secher, N. H., additional, Brassard, P., additional, Jensen, A. S., additional, Hassager, C., additional, Madsen, P. L., additional, Moller, J. E., additional, Coutu, M., additional, Greentree, D., additional, Normandin, D., additional, Brun, H., additional, Dipchand, A., additional, Koopman, L., additional, Fackoury, C. T., additional, Truong, S., additional, Manlhiot, C., additional, Mertens, L., additional, Baroni, M., additional, Mariani, M., additional, Chabane, H. K., additional, Berti, S., additional, Ripoli, A., additional, Storti, S., additional, Glauber, M., additional, Scopelliti, P. A., additional, Antongiovanni, G. B., additional, Personeni, D., additional, Saino, A., additional, Tespili, M., additional, Jung, P., additional, Mueller, M., additional, Jander, F., additional, Sohn, H. 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U., additional, Zaidi, A., additional, Heatley, M., additional, Abildstrom, S. Z., additional, Hvelplund, A., additional, Berning, J., additional, Govind, S., additional, Brodin, L., additional, Gopal, A., additional, Castaldi, B., additional, Di Salvo, G., additional, Santoro, G., additional, Gaio, G., additional, Palladino, M. T., additional, Iacono, C., additional, Pacileo, G., additional, Russo, M. G., additional, Calabro, R., additional, Wang, Y. S., additional, Dong, L. L., additional, Shu, X. H., additional, Pan, C. Z., additional, Zhou, D. X., additional, Sen, T., additional, Tufekcioglu, O., additional, Ozdemir, M., additional, Tuncez, A., additional, Uygur, B., additional, Golbasi, Z., additional, Kisacik, H., additional, Delfino, L., additional, De Leo, F. D., additional, Chiappa, L. 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2010
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11. Poster session 6: Saturday 6 December 2014, 08:30-12:30 * Location: Poster area

Author

Goirigolzarri Artaza, J, Gallego Delgado, M, Jaimes Castellanos, CP, Cavero Gibanel, MA, Pastrana Ledesma, MA, Alonso Pulpon, LA, Gonzalez Mirelis, J, Al Ansi, R Z, Sokolovic, S, Cerin, G, Szychta, W, Popa, B A, Botezatu, D, Benea, D, Manganiello, S, Corlan, A, Jabour, A, Igual Munoz, B, Osaca Asensi, JOA, Andres La Huerta, AALH, Maceira Gonzalez, AMG, Estornell Erill, JEE, Cano Perez, OCP, Sancho-Tello, MJSTDC, Alonso Fernandez, PAF, Sepulveda Sanchez, PSS, Montero Argudo, AMA, Palombo, C, Morizzo, C, Baluci, M, Kozakova, M, Panajotu, A, Karady, J, Szeplaki, G, Horvath, T, Tarnoki, DL, Jermendy, AL, Geller, L, Merkely, B, Maurovich-Horvat, P, Group, MTA-SE "Lendület" Cardiovascular Imaging Research, Moustafa, S, Mookadam, F, Youssef, M, Zuhairy, H, Connelly, M, Prieur, T, Alvarez, N, Ashikhmin, Y, Drapkina, O, Boutsikou, M, Demerouti, E, Leontiadis, E, Petrou, E, Karatasakis, G, Kozakova, M, Morizzo, C, Bianchi, V, Marchi, B, Federico, G, Palombo, C, Chatzistamatiou, E, Moustakas, G, Memo, G, Konstantinidis, D, Mpampatzeva Vagena, I, Manakos, K, Traxanas, K, Vergi, N, Feretou, A, Kallikazaros, I, Goto, M, Uejima, T, Itatani, K, Pedrizzetti, G, Mada, RO, Daraban, AM, Duchenne, J, Voigt, JU, Chiu, D Y Y, Green, D, Johnstone, L, Sinha, S, Kalra, PA, Abidin, N, Group, Salford Vascular Research, Sikora-Frac, M, Zaborska, B, Maciejewski, P, Bednarz, B, Budaj, A, Nemes, A, Sasi, V, Gavaller, H, Kalapos, A, Domsik, P, Katona, A, Szucsborus, T, Ungi, T, Forster, T, Ungi, I, Pluchinotta, FR, Arcidiacono, C, Saracino, A, Carminati, M, Bussadori, C, Dahlslett, T, Karlsen, S, Grenne, B, Sjoli, B, Bendz, B, Skulstad, H, Smiseth, OA, Edvardsen, T, Brunvand, H, Vereckei, A, Szelenyi, ZS, Szenasi, G, Santoro, C, Galderisi, M, Niglio, T, Santoro, M, Stabile, E, Rapacciuolo, A, Spinelli, L, De Simone, G, Esposito, G, Trimarco, B, Hubert, S, Jacquier, A, Fromonot, J, Resseguier, C, Tessier, A, Guieu, R, Renard, S, Haentjiens, J, Lavoute, C, Habib, G, Menting, M E, Koopman, LP, Mcghie, JS, Rebel, B, Gnanam, D, Helbing, WA, Van Den Bosch, AE, Roos-Hesselink, JW, Shiino, K, Yamada, A, Sugimoto, K, Takada, K, Takakuwa, Y, Miyagi, M, Iwase, M, Ozaki, Y, Placido, R, Ramalho, A, Nobre E Menezes, M, Cortez-Dias, N, Goncalves, S, Guimaraes, T, Robalo Martins, S, Francisco, AR, Almeida, AG, Nunes Diogo, A, Hayashi, T, Itatani, K, Inuzuka, R, Shindo, T, Hirata, Y, Shimizu, N, Miyaji, K, Henri, C, Dulgheru, R, Magne, J, Kou, S, Davin, L, Nchimi, A, Oury, C, Pierard, L, Lancellotti, P, Kovalyova, O, Honchar, O, Tengku, WINDA, Ketaren, ANDRE, Mingo Santos, S, Monivas Palomero, V, Restrepo Cordoba, A, Rodriguez Gonzalez, E, Goirigolzarri Artaza, J, Sayago Silva, I, Garcia Lunar, I, Mitroi, C, Cavero Gibanel, M, Segovia Cubero, J, Ryu, SK, Park, JY, Kim, SH, Choi, JW, Goh, CW, Byun, YS, Choi, JH, Westholm, C, Johnson, J, Jernberg, T, Winter, R, Rio, P, Moura Branco, L, Galrinho, A, Pinto Teixeira, P, Viveiros Monteiro, A, Portugal, G, Pereira-Da-Silva, T, Afonso Nogueira, M, Abreu, J, Cruz Ferreira, R, Mazzone, A, Botto, N, Paradossi, U, Chabane, A, Francini, M, Cerone, E, Baroni, M, Maffei, S, Berti, S, Tatu-Chitoiu, G P, Deleanu, D, Macarie, C, Chioncel, O, Dorobantu, M, Udroiu, C, Calmac, L, Diaconeasa, A, Vintila, V, Vinereanu, D, investigators, RO-STEMI, Ghattas, A, Shantsila, E, Griffiths, H, Lip, GY, Galli, E, Guirette, Y, Daudin, M, Auffret, V, Mabo, P, Donal, E, Fabiani, I, Conte, L, Scatena, C, Barletta, V, Pratali, S, De Martino, A, Bortolotti, U, Naccarato, AG, Di Bello, V, Falanga, G, Alati, E, Di Giannuario, G, Zito, C, Cusma' Piccione, M, Carerj, S, Oreto, G, Dattilo, G, Alfieri, O, La Canna, G, Generati, G, Bandera, F, Pellegrino, M, Alfonzetti, E, Labate, V, Guazzi, M, Cho, EJ, Park, S-J, Lim, HJ, Yoon, HR, Chang, S-A, Lee, S-C, Park, SW, Cengiz, B, Sahin, S T, Yurdakul, S, Kahraman, S, Bozkurt, A, Aytekin, S, Borges, I P, Peixoto, ECS, Peixoto, RTS, Peixoto, RTS, Marcolla, VF, Venkateshvaran, A, Sola, S, Dash, P K, Thapa, P, Manouras, A, Winter, R, Brodin, LA, Govind, S C, Mizariene, V, Verseckaite, R, Bieseviciene, M, Karaliute, R, Jonkaitiene, R, Vaskelyte, J, Arzanauskiene, R, Janenaite, J, Jurkevicius, R, Rosner, S, Orban, M, Nadjiri, J, Lesevic, H, Hadamitzky, M, Sonne, C, Manganaro, R, Carerj, S, Cusma-Piccione, MC, Caprino, A, Boretti, I, Todaro, MC, Falanga, G, Oreto, L, D'angelo, MC, Zito, C, Le Tourneau, T, Cueff, C, Richardson, M, Hossein-Foucher, C, Fayad, G, Roussel, JC, Trochu, JN, Vincentelli, A, Obase, K, Weinert, L, Lang, R, Cavalli, G, Muraru, D, Miglioranza, MH, Addetia, K, Veronesi, F, Cucchini, U, Mihaila, S, Tadic, M, Lang, RM, Badano, L, Polizzi, V, Pino, PG, Luzi, G, Bellavia, D, Fiorilli, R, Chialastri, C, Madeo, A, Malouf, J, Buffa, V, Musumeci, F, Gripari, P, Tamborini, G, Bottari, V, Maffessanti, F, Carminati, C, Muratori, M, Vignati, C, Bartorelli, A, Alamanni, F, Pepi, M, Polymeros, S, Dimopoulos, A, Spargias, K, Karatasakis, G, Athanasopoulos, G, Pavlides, G, Dagres, N, Vavouranakis, E, 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Garcia-Campos, A, Diaz, E, Martin, M, Rodriguez-Suarez, ML, Leon, V, Fidalgo, A, Moris, C, De La Hera, JM, Kylmala, M M, Rosengard-Barlund, M, Groop, P H, Lommi, J, Bruin De- Bon, HACM, Bilt Van Der, IA, Wilde, AA, Brink Van Den, RBA, Teske, AJ, Rinkel, GJ, Bouma, BJ, Teixeira, R, Monteiro, R, Garcia, J, Silva, A, Graca, M, Baptista, R, Ribeiro, M, Cardim, N, Goncalves, L, Duszanska, A, Skoczylas, I, Kukulski, T, Polonski, L, Kalarus, Z, Choi, J-H, Park, JS, Ahn, JH, Lee, JW, Ryu, SK, Ahn, J, Kim, DH, Lee, HO, Przewlocka-Kosmala, M, Mlynarczyk, J, Rojek, A, Mysiak, A, Kosmala, W, Pellissier, A, Larochelle, E, Krsticevic, L, Baron, E, Le, V, Roy, A, Deragon, A, Cote, M, Garcia, D, Tournoux, F, Yiangou, K, Azina, C, Yiangou, A, Zitti, M, Ioannides, M, Ricci, F, Dipace, G, Aquilani, R, Radico, F, Cicchitti, V, Bianco, F, Miniero, E, Petrini, F, De Caterina, R, Gallina, S, Jardim Prista Monteiro, R, Teixeira, R, Garcia, J, Baptista, R, Ribeiro, M, Cardim, N, Goncalves, L, Chung, H, Kim, JY, Joung, B, Uhm, JS, Pak, HN, Lee, MH, Lee, KY, Ragab, AM, Abdelwahab, AMIR, Yazeed, YASER, El Naggar, WAEL, Spahiu, K, Spahiu, E, Doko, A, Liesting, C, Brugts, JJ, Kofflard, MJM, Kitzen, JJEM, Boersma, E, Levin, M-D, Coppola, C, Piscopo, G, Rea, D, Maurea, C, Caronna, A, Capasso, I, Maurea, N, Azevedo, O, Tadeu, I, Lourenco, M, Portugues, J, Pereira, V, Lourenco, A, Nesukay, E, Kovalenko, V, Cherniuk, S, Danylenko, O, Muhammedov, MB, Ahmedova, DM, Hojakuliyev, BG, Atayeva, D, Nemes, A, Domsik, P, Kalapos, A, Lengyel, C, Varkonyi, TT, Orosz, A, Forster, T, Castro, M, Abecasis, J, Dores, H, Madeira, S, Horta, E, Ribeiras, R, Canada, M, Andrade, MJ, Mendes, M, Morosin, M, Piazza, R, Leonelli, V, Leiballi, E, Pecoraro, R, Cinello, M, Dell' Angela, L, Cassin, M, Sinagra, G, Nicolosi, GL, Wierzbowska-Drabik, K, Hamala, P, Kasprzak, JD, O'driscoll, J, Rossato, C, Gargallo-Fernandez, P, Araco, M, Sharma, S, Sharma, R, Jakus, N, Baricevic, Z, Ljubas Macek, J, Skoric, B, Skorak, I, Velagic, V, Separovic Hanzevacki, J, Milicic, D, Cikes, M, Deljanin Ilic, M, Ilic, S, Kocic, G, Pavlovic, R, Stoickov, V, Ilic, V, Nikolic, LJ, Generati, G, Bandera, F, Pellegrino, M, Alfonzetti, E, Labate, V, Guazzi, M, Labate, V, Bandera, F, Generati, G, Pellegrino, M, Donghi, V, Alfonzetti, E, Guazzi, M, Zakarkaite, D, Kramena, R, Aidietiene, S, Janusauskas, V, Rucinskas, K, Samalavicius, R, Norkiene, I, Speciali, G, Aidietis, A, Kemaloglu Oz, T, Ozpamuk Karadeniz, F, Akyuz, S, Unal Dayi, S, Esen Zencirci, A, Atasoy, I, Osken, A, Eren, M, Fazendas, P R, Caldeira, D, Stuart, B, Cruz, I, Rocha Lopes, L, Almeida, A R, Sousa, P, Joao, I, Cotrim, C, Pereira, H, Fazendas, P R, Caldeira, D, Stuart, B, Cruz, I, Rocha Lopes, L, Almeida, A R, Joao, I, Cotrim, C, Pereira, H, Sinem Cakal, SC, Elif Eroglu, EE, Baydar, O, Beytullah Cakal, BC, Mehmet Vefik Yazicioglu, MVY, Mustafa Bulut, MB, Cihan Dundar, CD, Kursat Tigen, KT, Birol Ozkan, BO, Ali Metin Esen, A, Yagasaki, H, Kawasaki, M, Tanaka, R, Minatoguchi, S, Houle, H, Warita, S, Ono, K, Noda, T, Watanabe, S, Minatoguchi, S, Cho, E J, Park, S J, Lim, H J, Chang, S A, Lee, S C, Park, S W, Cho, E J, Park, S J, Lim, H J, Chang, S A, Lee, S C, Park, S W, Mornos, C, Cozma, D, Ionac, A, Mornos, A, Popescu, I, Ionescu, G, Pescariu, S, Melzer, L, Faeh-Gunz, A, Seifert, B, Attenhofer Jost, C H, Storve, S, Haugen, BO, Dalen, H, Grue, JF, Samstad, S, Torp, H, Ferrarotti, L, Maggi, E, Piccinino, C, Sola, D, Pastore, F, Marino, PN, Ranjbar, S, Karvandi, M, Hassantash, SA, Karvandi, M, Ranjbar, S, Tierens, S, Remory, I, Bala, G, Gillis, K, Hernot, S, Droogmans, S, Cosyns, B, Lahoutte, T, Tran, N, Poelaert, J, Al-Mallah, M, Alsaileek, A, Nour, K, Celeng, CS, Horvath, T, Kolossvary, M, Karolyi, M, Panajotu, A, Kitslaar, P, Merkely, B, Maurovich Horvat, P, Group, MTA-SE "Lendület" Cardiovascular Imaging Research, Aguiar Rosa, S, Ramos, R, Marques, H, Portugal, G, Pereira Da Silva, T, Rio, P, Afonso Nogueira, M, Viveiros Monteiro, A, Figueiredo, L, and Cruz Ferreira, R

Abstract

Introduction: The increase of left auricular volume (LAV) is a robust cardiovascular event predictor. Despite that echochardiography is more often used, cardiac MRI is considered more accurate. Our objetives are to validate "fast" LAV measures by MRI vs the considered gold standard (GS) and to compare Echo and MRI in a wide spectrum of patients. Methods: In a non-selected popullation with MRI study previously realized, we measured LAV by biplane method (BPMR) and by area-length in 4 chamber view (ALMR) and compared them with biplane (BPe) and discs method (MDDe) in 4 chamber view in echo. To validate MRI measurements, we measured LAV in short axis slices (Simpson Method, SM) in a group of patients and considered it the GS. Results: 186 patients were included (mean age 51 ± 17 age; 123 male; 14 in AF) with clinical indication of cardiac MRI (Philips 1,5 T). In 24 patients SM was calculated. 29% of cardiac MRI were considered normal. Mean underlying pathologies were myocardiopathy (27%), Ischemic myocardiopathy (17%), myopericarditis (10%), prior to AF ablation (4%), valvular disease (6%) and miscellaneous (7%). Excellent correlation was obtained between "fast" MRI measurements and SM in MRI (SM vs BPMR interclass correlation coefficient ICC=0.965 and SM vs ALMR, ICC=0.958; P<0.05) with low interobserver variability (ICC=0.983 for SM; ICC=0.949 for BPMR; ICC=0.931 for ALMR). "Fast" measurements by MRI showed stadistical correlation between them (CCI=0.910) (Figure). Correlation between Echo and MRI measures was only moderate. (BPRM vs BPe CCI=0,469 mean difference -30 ml; ALMR vs MDDe ICC=0,456 mean difference -24 mL). Conclusions: ‘fast’ LAV measures by MRI are comparable with the MRI GS and also between them. Echo values seem to underestimate compared to MRI, so its use may not be suitable.

Published
2014
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12. Poster session 1: Wednesday 3 December 2014, 09:00-16:00 * Location: Poster area

Author

Tong, L, Huang, C, Ramalli, A, Tortoli, P, Luo, J, D'hooge, J, Tzemos, N, Mordi, I, Bishay, T, Bishay, T, Negishi, T, Hristova, K, Kurosawa, K, Bansal, M, Thavendiranathan, P, Yuda, S, Popescu, BA, Vinereanu, D, Penicka, M, Marwick, TH, study, SUCCOUR, Hamed, W, Kamel, MKA, Yaseen, RIY, El-Barbary, HSE, Nemes, A, Kis, O, Gavaller, H, Kanyo, E, Forster, T, Angelis, A, Vlachopoulos, C, Ioakimidis, N, Felekos, I, Chrysohoou, C, Aznaouridis, K, Abdelrasoul, M, Terentes, D, Ageli, K, Stefanadis, C, Kurnicka, K, Domienik-Karlowicz, J, Lichodziejewska, B, Goliszek, S, Grudzka, K, Krupa, M, Dzikowska-Diduch, O, Ciurzynski, M, Pruszczyk, P, Gual Capllonch, F, Lopez Ayerbe, J, Teis, A, Ferrer, E, Vallejo, N, Junca, G, Pla, R, Bayes-Genis, A, Schwaiger, JP, Knight, DS, Gallimore, A, Schreiber, BE, Handler, C, Coghlan, JG, Bruno, R M, Giardini, G, Malacrida, S, Catuzzo, B, Armenia, S, Brustia, R, Ghiadoni, L, Cauchy, E, Pratali, L, Kim, KH, Lee, KJ, Cho, JY, Yoon, HJ, Ahn, Y, Jeong, MH, Cho, JG, Park, JC, Cho, SK, Nastase, O, Enache, R, Mateescu, AD, Botezatu, D, Popescu, BA, Ginghina, C, Gu, H, Sinha, MD, Simpson, JM, Chowienczyk, PJ, Fazlinezhad, A, Tashakori Behesthi, AHMAD, Homaei, FATEME, Mostafavi, H, Hosseini, G, Bakaeiyan, M, Boutsikou, M, Petrou, E, Dimopoulos, A, Dritsas, A, Leontiadis, E, Karatasakis, G, Sahin, S T, Yurdakul, S, Yilmaz, N, Cengiz, B, Cagatay, Y, Aytekin, S, Yavuz, S, Karlsen, S, Dahlslett, T, Grenne, B, Sjoli, B, Smiseth, OA, Edvardsen, T, Brunvand, H, Nasr, G, Nasr, A, Eleraki, A, Elrefai, S, Mordi, I, Sonecki, P, Tzemos, N, Gustafsson, U, Naar, J, Stahlberg, M, Cerne, A, Capotosto, L, Rosato, E, D'angeli, I, Azzano, A, Truscelli, G, De Maio, M, Salsano, F, Terzano, C, Mangieri, E, Vitarelli, A, Renard, S, Najih, H, Mancini, J, Jacquier, A, Haentjens, J, Gaubert, JY, Habib, G, Caminiti, G, D'antoni, V, D'antoni, V, Cardaci, V, Cardaci, V, Conti, V, Conti, V, Volterrani, M, Volterrani, M, Ahn, J, Kim, DH, Lee, HO, Iliuta, L, Kim, SY, Ryu, S, Ko, CW, Pyun, YS, Yoon, SJ, Lo Iudice, F, Esposito, R, Lembo, M, Santoro, C, Ballo, PC, Mondillo, S, De Simone, G, Galderisi, M, Hwang, YM, Kim, JH, Kim, JH, Moon, KW, Yoo, KD, Kim, CM, Tagliamonte, E, Rigo, F, Cirillo, T, Caruso, A, Astarita, C, Cice, G, Quaranta, G, Romano, C, Capuano, N, Calabro', R, Zagatina, A, Zhuravskaya, N, Guseva, O, Huttin, O, Benichou, M, Voilliot, D, Venner, C, Micard, E, Girerd, N, Sadoul, N, Moulin, F, Juilliere, Y, Selton-Suty, C, Baron, T, Christersson, C, Johansson, K, Flachskampf, FA, Lee, S, Lee, J, Hur, S, Park, J, Yun, JY, Song, SK, Kim, WH, Ko, JK, Nyktari, E, Bilal, S, Ali, SA, Izgi, C, Prasad, SK, Aly, MFA, Kleijn, SAK, Kandil, HIK, Kamp, OK, Beladan, CC, Calin, A, Rosca, M, Craciun, AM, Gurzun, MM, Calin, C, Enache, R, Mateescu, A, Ginghina, C, Popescu, BA, Mornos, C, Mornos, A, Ionac, A, Cozma, D, Crisan, S, Popescu, I, Ionescu, G, Petrescu, L, Camacho, S, Gamaza Chulian, S, Carmona, R, Diaz, E, Giraldez, A, Gutierrez, A, Toro, R, Benezet, J, Antonini-Canterin, F, Vriz, O, La Carrubba, S, Poli, S, Leiballi, E, Zito, C, Careri, S, Caruso, R, Pellegrinet, M, Nicolosi, GL, Kong, W, Kyu, K, Wong, R, Tay, E, Yip, J, Yeo, TC, Poh, KK, Correia, M, Delgado, A, Marmelo, B, Correia, E, Abreu, L, Cabral, C, Gama, P, Santos, O, Rahman, MT, Borges, I P, Peixoto, ECS, Peixoto, RTS, Peixoto, RTS, Marcolla, VF, Okura, H, Kanai, M, Murata, E, Kataoka, T, Stoebe, S, Tarr, A, Pfeiffer, D, Hagendorff, A, Generati, G, Bandera, F, Pellegrino, M, Alfonzetti, E, Labate, V, Guazzi, M, Kuznetsov, VA, Yaroslavskaya, EI, Pushkarev, GS, Krinochkin, DV, Zyrianov, IP, Carigi, S, Baldazzi, F, Bologna, F, Amati, S, Venturi, P, Grosseto, D, Biagetti, C, Fabbri, E, Arlotti, M, Piovaccari, G, Rahbi, H, Bin Abdulhaq, A, Tleyjeh, I, Santoro, C, Galderisi, M, Costantino, MF, Tarsia, G, Innelli, P, Dores, E, Esposito, G, Matera, A, De Simone, G, Trimarco, B, Capotosto, L, Azzano, A, Mukred, K, Ashurov, R, Tanzilli, G, Mangieri, E, Vitarelli, A, Merlo, M, Gigli, M, Stolfo, D, Pinamonti, B, Antonini Canterin, F, Muca, M, D'angelo, GA, Scapol, S, Di Nucci, M, Sinagra, G, Behaghel, A, Feneon, D, Fournet, M, Thebault, C, Martins, RP, Mabo, P, Leclercq, C, Daubert, C, Donal, E, Davinder Pal, SINGH, Prakash Chand, NEGI, Sanjeev, ASOTRA, Rajeev, MERWAH, Ankur, DWIVED, Ram Gopal, SOOD, Mzoughi, K, Zairi, I, Jabeur, M, Ben Moussa, F, Ben Chaabene, A, Kamoun, S, Mrabet, K, Fennira, S, Zargouni, A, Kraiem, S, Demkina, AE, Hashieva, FM, Krylova, NS, Kovalevskaya, EA, Potehkina, NG, Zaroui, A, Ben Said, R, Smaali, S, Rekik, B, Ben Hlima, M, Mizouni, H, Mechmeche, R, Mourali, MS, Malhotra, A, Sheikh, N, Dhutia, H, Siva, A, Narain, R, Merghani, A, Millar, L, Walker, M, Sharma, S, Papadakis, M, Siam-Tsieu, V, Mansencal, N, Arslan, M, Deblaise, J, Dubourg, O, Zaroui, A, Rekik, B, Ben Said, R, Boudiche, S, Larbi, N, Tababi, N, Hannachi, S, Mechmeche, R, Mourali, MS, Mechmeche, R, Zaroui, A, Chalbia, T, Ben Halima, M, Rekik, B, Boussada, R, Mourali, MS, Chistyakova, M V, Govorin, AV, Radaeva, EV, Lipari, P, Bonapace, S, Valbusa, F, Rossi, A, Zenari, L, Lanzoni, L, Targher, G, Canali, G, Molon, G, Barbieri, E, Novo, G, Giambanco, S, Sutera, MR, Bonomo, V, Giambanco, F, Rotolo, A, Evola, S, Assennato, P, Novo, S, Budnik, M, Piatkowski, R, Kochanowski, J, Opolski, G, Chatzistamatiou, E, Mpampatseva Vagena, I, Manakos, K, Moustakas, G, Konstantinidis, D, Memo, G, Mitsakis, O, Kasakogias, A, Syros, P, Kallikazaros, I, Park, SM, Kim, SA, Kim, MN, Shim, WJ, Marketou, M, Parthenakis, F, Kalyva, N, Pontikoglou, CH, Maragkoudakis, S, Zacharis, E, Patrianakos, A, Maragoudakis, F, Papadaki, H, Vardas, P, Rodrigues, AC, Perandini, LA, Souza, TR, Sa-Pinto, AL, Borba, E, Arruda, AL, Furtado, M, Carvalho, F, Bonfa, E, Andrade, JL, Hlubocka, Z, Malinova, V, Palecek, T, Danzig, V, Kuchynka, P, Dostalova, G, Zeman, J, Linhart, A, Chatzistamatiou, E, Konstantinidis, D, Memo, G, Mpampatzeva Vagena, I, Moustakas, G, Manakos, K, Trachanas, K, Vergi, N, Feretou, A, Kallikazaros, I, Corut, H, Sade, LE, Ozin, B, Atar, I, Turgay, O, Muderrisoglu, H, Ledakowicz-Polak, A, Polak, L, Krauza, G, Zielinska, M, Szulik, M, Streb, W, Wozniak, A, Lenarczyk, R, Sliwinska, A, Kalarus, Z, Kukulski, T, Nogueira, MA, Branco, LM, Agapito, A, Galrinho, A, Borba, A, Teixeira, PP, Monteiro, AV, Ramos, R, Cacela, D, Cruz Ferreira, R, Guala, A, Camporeale, C, Tosello, F, Canuto, C, Ridolfi, L, Chatzistamatiou, E, Moustakas, G, Memo, G, Konstantinidis, D, Mpampatzeva Vagena, I, Manakos, K, Traxanas, K, Vergi, N, Feretou, A, Kallikazaros, I, Hristova, K, Marinov, R, Stamenov, G, Mihova, M, Persenska, S, Racheva, A, Plaskota, KJ, Trojnarska, O, Bartczak, A, Grajek, S, Ramush Bejiqi, RA, Retkoceri, R, Bejiqi, H, Beha, A, Surdulli, SH, Seya, M, Sasaoka, T, Hirasawa, K, Yoshikawa, S, Maejima, Y, Ashikaga, T, Hirao, K, Isobe, M, none, Dreyfus, J, Durand-Viel, G, Cimadevilla, C, Brochet, E, Vahanian, A, Messika-Zeitoun, D, Jin, CN, Fang, F, Meng, FX, Kam, K, Sun, JP, Tsui, GK, Wong, KK, Wan, S, Yu, CM, Lee, AP, Cho, I J, Chung, HM, Heo, R, Ha, SJ, Hong, GR, Shim, CY, Chang, HJ, Ha, JW, Chung, N, Moral, S, Gruosso, D, Galuppo, V, Teixido, G, Rodriguez-Palomares, JF, Gutierrez, L, Evangelista, A, Moral, S, Gruosso, D, Galuppo, V, Teixido, G, Rodriguez-Palomares, JF, Gutierrez, L, Evangelista, A, Moral, S, Gruosso, D, Galuppo, V, Teixido, G, Rodriguez-Palomares, JF, Gutierrez, L, Evangelista, A, Alexopoulos, Alexan, Dawson, David, Nihoyannopoulos, Petros, Zainal Abidin, H A, Ismail, JOHAN, Arshad, KAMAL, Ibrahim, ZUBIN, Lim, CW, Abd Rahman, E, Kasim, SAZZLI, Peteiro, J, Barrio, A, Escudero, A, Bouzas-Mosquera, A, Yanez, J, Martinez, D, Castro-Beiras, A, Scali, MC, Simioniuc, A, Mandoli, GE, Lombardo, A, Massaro, F, Di Bello, V, Marzilli, M, Dini, FL, Adachi, H, Tomono, J, Oshima, S, Merchan Ortega, G, Bravo Bustos, D, Lazaro Garcia, R, Sanchez Espino, AD, Macancela Quinones, JJ, Ikuta, I, Ruiz Lopez, MF, Valencia Serrano, FM, Bonaque Gonzalez, JC, Gomez Recio, M, Romano, G, D'ancona, G, Pilato, G, Di Gesaro, G, Clemenza, F, Raffa, G, Scardulla, C, Sciacca, S, Lancellotti, P, Pilato, M, Addetia, K, Takeuchi, M, Maffessanti, F, Weinert, L, Hamilton, J, Mor-Avi, V, Lang, RM, Sugano, A, Seo, Y, Watabe, H, Kakefuda, Y, Aihara, H, Nishina, H, Ishizu, T, Fumikura, Y, Noguchi, Y, Aonuma, K, Luo, XX, Fang, F, Lee, APW, Shang, Q, Yu, CM, Sammut, E C, Chabinok, R, Jackson, T, Siarkos, M, Lee, L, Carr-White, G, Rajani, R, Kapetanakis, S, Byrne, D, Walsh, JP, Ellis, L, Mckiernan, S, Norris, S, King, G, Murphy, RT, Hristova, K, Katova, TZ, Simova, I, Kostova, V, Shuie, I, Ferferieva, V, Bogdanova, V, Castelon, X, Nemes, A, Sasi, V, Domsik, P, Kalapos, A, Lengyel, C, Orosz, A, Forster, T, Grapsa, J, Demir, O, Dawson, D, Sharma, R, Senior, R, Nihoyannopoulos, P, Pilichowska, E, Zaborska, B, Baran, J, Stec, S, Kulakowski, P, Budaj, A, Herrera, J E, Palacios, I F, Mendoza, I, Marquez, J A, Herrera, J A, Octavio, J A, Dempaire, G, Rotolo, M, Kosmala, W, Kaye, G, Saito, M, Negishi, K, Marwick, TH, Maceira Gonzalez, A M, Ripoll, C, Cosin-Sales, J, Igual, B, Salazar, J, Belloch, V, Dulai, R S, Taylor, A, and Gupta, S

Abstract

Purpose: We have previously demonstrated that multi-line transmit (MLT) beam forming can provide high quality full field-of-view (90° sector) B-mode images at very high frame rates, i.e. up to 500 fps. The purpose of this study was to test the feasibility of this technique in imaging the mechanical intraventricular waves such as the one associated with activation of the left ventricle. Methods: A dedicated pulse sequence using MLT was implemented on the ULA-OP research scanner equipped with a 2.0 MHz phased array to obtain 90° sector images at a frame rate of 436 fps. The left ventricle of a healthy volunteer was imaged from the apical 4 chamber view and the RF data was acquired. Subsequently, the strain rate was extracted from the RF data using a normalized cross-correlation method. Results: As expected, during the early filling phase, myocardium lengthening (positive strain rate) was observed propagating from the base of the septum to the apex and back (Figure a). A similar wave was detected in the lateral wall, although a brief shortening (negative strain rate) was detected in the mid-wall which could be the result of reverberations (Figure b). During isovolumetric contraction, the septal wall shortened before the lateral wall (as expected) - moreover - there seemed to be an intra-wall base-apex shortening gradient (Figure c and d). Conclusions: Our preliminary results show that visualization of the cardiac mechanical activation could be feasible using MLT based high frame rate imaging. Further research is required to examine this in depth, which is the topic of on-going work. Figure Curved M-mode of strain rate

Published
2014
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13. Deep learning improves test-retest reproducibility of regional strain in echocardiography.

Author

Nyberg J, Østvik A, Salte IM, Olaisen S, Karlsen S, Dahlslett T, Smistad E, Eriksen-Volnes T, Brunvand H, Edvardsen T, Haugaa KH, Lovstakken L, Dalen H, and Grenne B

Abstract

Aims: The clinical utility of regional strain measurements in echocardiography is challenged by suboptimal reproducibility. In this study, we aimed to evaluate the test-retest reproducibility of regional longitudinal strain (RLS) per coronary artery perfusion territory (RLS Territory ) and basal-to-apical level of the left ventricle (RLS Level ), measured by a novel fully automated deep learning (DL) method based on point tracking., Methods and Results: We measured strain in a dual-centre test-retest data set that included 40 controls and 40 patients with suspected non-ST elevation acute coronary syndrome. Two consecutive echocardiograms per subject were recorded by different operators. The reproducibility of RLS Territory and RLS Level measured by the DL method and by three experienced observers using semi-automatic software (2D Strain, EchoPAC, GE HealthCare) was evaluated as minimal detectable change (MDC). The DL method had MDC for RLS Territory and RLS Level ranging from 3.6 to 4.3%, corresponding to a 33-35% improved reproducibility compared with the inter- and intraobserver scenarios (MDC 5.5-6.4% and 4.9-5.4%). Furthermore, the DL method had a lower variance of test-retest differences for both RLS Territory and RLS Level compared with inter- and intraobserver scenarios (all P < 0.001). Bland-Altman analyses demonstrated superior reproducibility by the DL method for the whole range of strain values compared with the best observer scenarios. The feasibility of the DL method was 93% and measurement time was only 1 s per echocardiogram., Conclusion: The novel DL method provided fully automated measurements of RLS, with improved test-retest reproducibility compared with semi-automatic measurements by experienced observers. RLS measured by the DL method has the potential to advance patient care through a more detailed, more efficient, and less user-dependent clinical assessment of myocardial function., Competing Interests: Conflict of interest: A.Ø., S.O., E.S., L.L., H.D., and B.G. hold positions at the Centre for Innovative Ultrasound Solutions (CIUS)—a Norwegian Research Council (NRC) centre for research-based innovation, where GE HealthCare, Horten, Norway, is one of the institutional partners. J.N., A.Ø., T.E., K.H.H., L.L., H.D., and B.G. hold positions at the PrecisionHealth Center for optimized cardiac care (ProCardio)—another NRCcentre for research-based innovation, where GE HealthCare is a partner. L.L. acts as a part-time consultant for GE HealthCare., (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Published
2024
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15. Deep Learning for Improved Precision and Reproducibility of Left Ventricular Strain in Echocardiography: A Test-Retest Study.

Author

Salte IM, Østvik A, Olaisen SH, Karlsen S, Dahlslett T, Smistad E, Eriksen-Volnes TK, Brunvand H, Haugaa KH, Edvardsen T, Dalen H, Lovstakken L, and Grenne B

Subjects
Humans, Reproducibility of Results, Artificial Intelligence, Ventricular Function, Left, Echocardiography methods, Stroke Volume, Deep Learning, Ventricular Dysfunction, Left diagnostic imaging
Abstract

Aims: Assessment of left ventricular (LV) function by echocardiography is hampered by modest test-retest reproducibility. A novel artificial intelligence (AI) method based on deep learning provides fully automated measurements of LV global longitudinal strain (GLS) and may improve the clinical utility of echocardiography by reducing user-related variability. The aim of this study was to assess within-patient test-retest reproducibility of LV GLS measured by the novel AI method in repeated echocardiograms recorded by different echocardiographers and to compare the results to manual measurements., Methods: Two test-retest data sets (n = 40 and n = 32) were obtained at separate centers. Repeated recordings were acquired in immediate succession by 2 different echocardiographers at each center. For each data set, 4 readers measured GLS in both recordings using a semiautomatic method to construct test-retest interreader and intrareader scenarios. Agreement, mean absolute difference, and minimal detectable change (MDC) were compared to analyses by AI. In a subset of 10 patients, beat-to-beat variability in 3 cardiac cycles was assessed by 2 readers and AI., Results: Test-retest variability was lower with AI compared with interreader scenarios (data set I: MDC = 3.7 vs 5.5, mean absolute difference = 1.4 vs 2.1, respectively; data set II: MDC = 3.9 vs 5.2, mean absolute difference = 1.6 vs 1.9, respectively; all P < .05). There was bias in GLS measurements in 13 of 24 test-retest interreader scenarios (largest bias, 3.2 strain units). In contrast, there was no bias in measurements by AI. Beat-to-beat MDCs were 1,5, 2.1, and 2.3 for AI and the 2 readers, respectively. Processing time for analyses of GLS by the AI method was 7.9 ± 2.8 seconds., Conclusion: A fast AI method for automated measurements of LV GLS reduced test-retest variability and removed bias between readers in both test-retest data sets. By improving the precision and reproducibility, AI may increase the clinical utility of echocardiography., (Copyright © 2023 American Society of Echocardiography. Published by Elsevier Inc. All rights reserved.)

Published
2023
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16. Automated tissue Doppler imaging for identification of occluded coronary artery in patients with suspected non-ST-elevation myocardial infarction.

Author

Halvorsrød MI, Kiss G, Dahlslett T, Støylen A, and Grenne B

Subjects
Humans, Coronary Vessels, Predictive Value of Tests, Heart, Non-ST Elevated Myocardial Infarction diagnostic imaging, Non-ST Elevated Myocardial Infarction therapy, Coronary Occlusion complications, Coronary Occlusion diagnostic imaging, Coronary Occlusion therapy
Abstract

Purpose: Identification of regional dysfunction is important for early risk stratification in patients with suspected non-ST-elevation myocardial infarction (NSTEMI). Strain echocardiography enables quantification of segmental myocardial deformation. However, the clinical use is hampered by time-consuming manual measurements. We aimed to evaluate whether an in-house developed software for automated analysis of segmental myocardial deformation based on tissue Doppler imaging (TDI) could predict coronary occlusion in patients with suspected NSTEMI., Methods: Eighty-four patients with suspected NSTEMI were included in the analysis. Echocardiography was performed at admission. Strain, strain rate and post-systolic shortening index (PSI) were analyzed by the automated TDI-based tool and the ability to predict coronary occlusion was assessed. For comparison, strain measurements were performed both by manual TDI-based analyses and by semi-automatic speckle tracking echocardiography (STE). All patients underwent coronary angiography., Results: Seventeen patients had an acute coronary occlusion. Global strain and PSI by STE were able to differentiate occluded from non-occluded culprit lesions (respectively - 15.0% vs. -17.1%, and 8.1% vs. 5.1%, both p-values < 0.05) and identify patients with an acute coronary occlusion (AUC 0.66 for both strain and PSI). Measurements of strain, strain rate and PSI based on TDI were not significantly different between occluded and non-occluded territories., Conclusion: Automated measurements of myocardial deformation based on TDI were not able to identify acute coronary occlusion in patients with suspected NSTEMI. However, this study confirms the potential of strain by STE for early risk stratification in patients with chest pain., (© 2022. The Author(s).)

Published
2023
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17. Increased deformation of the left ventricle during exercise test measured by global longitudinal strain can rule out significant coronary artery disease in patients with suspected unstable angina pectoris.

Author

Karlsen S, Melichova D, Dahlslett T, Grenne B, Sjøli B, Smiseth O, Edvardsen T, and Brunvand H

Subjects
Angina, Unstable complications, Angina, Unstable diagnostic imaging, Coronary Angiography, Exercise Test, Heart Ventricles diagnostic imaging, Humans, Predictive Value of Tests, Reproducibility of Results, Coronary Artery Disease complications, Coronary Artery Disease diagnostic imaging, Fractional Flow Reserve, Myocardial
Abstract

Background: Noninvasive identification of significant coronary artery disease (CAD) in patients with unstable angina pectoris (UAP) is challenging. Exercise stress testing has been used for years in patients with suspected CAD but has low diagnostic accuracy. The use of Global longitudinal strain (GLS) by speckle tracking echocardiography is a highly sensitive and reproducible parameter for detection of myocardial ischemia. Our aim was to study if identification of normal or ischemic myocardium by measurement of GLS immediately after an ordinary bicycle exercise stress testing in patients with suspected UAP could identify or rule out significant CAD., Methods: Seventy-eight patients referred for coronary angiography from outpatient clinics and the emergency department with chest pain, inconclusive ECG and normal values of Troponin-T was included. All patients underwent echocardiographic examination at rest and immediately after maximum stress by exercise on a stationary bicycle. Significant CAD was defined by diameter stenosis > 90% by coronary angiography. In patients with coronary stenosis between 50-90%, fractional flow reserve (FFR) was measured and defined abnormal < .80. Analysis of echocardiographic data were performed blinded for angiographic data. Patients were discharged diagnosed with CAD (n = 34) or non-coronary chest pain (NCCP, n = 44)., Results: In patients with NCCP, GLS at rest was -21.1 ± 1.7% and -25.5 ± 2.6% at maximum stress (P < .01). In patients with CAD, GLS at rest was -16.8 ± 4.0% and remained unchanged at maximum stress (-16.6 ± 4.6%, P = .69). In patients with NCCP, LVEF was 56.1% ± 6.0 and increased to 61.8% 5.2, P < .01. In CAD patients, LVEF at rest was 54.7% ± 8.6 and increased to 58.2% ± 9.5 during stress, P = .16. In NCCP patients, Wall Motion Score index decreased .02 ± .07, P = .03 during stress and was without significant changes in patients with CAD. Area under the curve (AUC) for distinguishing CAD for was .97 (.95-1.00), .63 (.49-.76), and .71 (.59-.83) for GLS, LVEF, and WMSi, respectively., Conclusion: In patients with suspected UAP, increased deformation of the left ventricle measured by GLS immediately after exercise stress testing identified normal myocardium without CAD. Reduced LV contractile function by GLS without increase after exercise identified significant CAD., (© 2022 The Authors. Echocardiography published by Wiley Periodicals LLC.)

Published
2022
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18. Strain echocardiography improves prediction of arrhythmic events in ischemic and non-ischemic dilated cardiomyopathy.

Author

Melichova D, Nguyen TM, Salte IM, Klaeboe LG, Sjøli B, Karlsen S, Dahlslett T, Leren IS, Edvardsen T, Brunvand H, and Haugaa KH

Subjects
Aged, Aged, 80 and over, Echocardiography, Female, Follow-Up Studies, Humans, Male, Middle Aged, Prospective Studies, Risk Factors, Stroke Volume, Ventricular Function, Left, Cardiomyopathy, Dilated diagnostic imaging, Defibrillators, Implantable
Abstract

Background: Recent evidence suggests that an implantable cardioverter defibrillator (ICD) in non-ischemic cardiomyopathy (NICM) may not offer mortality benefit. We aimed to investigate if etiology of heart failure and strain echocardiography can improve risk stratification of life threatening ventricular arrhythmia (VA) in heart failure patients., Methods: This prospective multi-center follow-up study consecutively included NICM and ischemic cardiomyopathy (ICM) patients with left ventricular ejection fraction (LVEF) <40%. We assessed LVEF, global longitudinal strain (GLS) and mechanical dispersion (MD) by echocardiography. Ventricular arrhythmia was defined as sustained ventricular tachycardia, sudden cardiac death or appropriate shock from an ICD., Results: We included 290 patients (67 ± 13 years old, 74% males, 207(71%) ICM). During 22 ± 12 months follow up, VA occurred in 32(11%) patients. MD and GLS were both markers of VA in patients with ICM and NICM, whereas LVEF was not (p = 0.14). MD independently predicted VA (HR: 1.19; 95% CI 1.08-1.32, p = 0.001), with excellent arrhythmia free survival in patients with MD <70 ms (Log rank p < 0.001). Patients with NICM and MD <70 ms had the lowest VA incidence with an event rate of 3%/year, while patients with ICM and MD >70 ms had highest VA incidence with an event rate of 16%/year., Conclusion: Patients with NICM and normal MD had low arrhythmic event rate, comparable to the general population. Patients with ICM and MD >70 ms had the highest risk of VA. Combining heart failure etiology and strain echocardiography may classify heart failure patients in low, intermediate and high risk of VA and thereby aid ICD decision strategies., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Published
2021
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19. Long-term ECG recording: findings and implications.

Author

Jortveit J, Lislevand TH, Rysstad L, Dahlslett T, and Sjøli B

Subjects
Electrocardiography, Female, Humans, Middle Aged, Atrial Fibrillation, Stroke diagnosis
Abstract

Background: Long-term ECG recording is a commonly used test. However, there are no clear guidelines on who should be examined using this method, and we lack an overview of the results of testing and their therapeutic implications., Material and Method: All long-term ECG recordings performed at Sørlandet Hospital Arendal in the period 2017-18 were included in the study. The tests were identified by searching the medical records system for relevant procedure codes, and all medical records related to the test were subsequently reviewed. Patient characteristics, referrer, indication, results, further assessment, and treatment were recorded., Results: A total of 1 262 long-term ECG recordings were performed at Sørlandet Hospital Arendal in the period 2017-18. The median age of those tested was 60 years, and 48 % of tests were performed in women. A total of 253 (20 %) recordings revealed arrhythmias and 168 (13 %) had therapeutic implications. For patients without known heart disease or a history of stroke (n = 619 (49 %)), the test had therapeutic implications in 32 (5 %) cases., Interpretation: Long-term ECG recording was often used to test patient populations with limited cardiac arrhythmia, and the results rarely had therapeutic implications. The findings of the study may indicate that long-term ECG recording should be used to a greater extent in patients for whom positive findings would have therapeutic and prognostic implications, such as those in whom stroke prophylaxis would be indicated if they were found to have atrial fibrillation.

Published
2020
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20. Global longitudinal strain is a more reproducible measure of left ventricular function than ejection fraction regardless of echocardiographic training.

Author

Karlsen S, Dahlslett T, Grenne B, Sjøli B, Smiseth O, Edvardsen T, and Brunvand H

Subjects
Acute Coronary Syndrome physiopathology, Aged, Aged, 80 and over, Algorithms, Female, Follow-Up Studies, Humans, Male, Middle Aged, Prospective Studies, ROC Curve, Reproducibility of Results, Systole, Time Factors, Acute Coronary Syndrome diagnosis, Cardiology education, Clinical Competence, Echocardiography, Three-Dimensional methods, Education, Medical, Graduate methods, Stroke Volume physiology, Ventricular Function, Left physiology
Abstract

Background: Left ventricular ejection fraction (LVEF) is an established method for evaluation of left ventricular (LV) systolic function. Global longitudinal strain (GLS) by speckle tracking echocardiography seems to be an important additive method for evaluation of LV function with improved reproducibility compared with LVEF. Our aim was to compare reproducibility of GLS and LVEF between an expert and trainee both as echocardiographic examiner and analyst., Methods: Forty-seven patients with recent Acute Coronary Syndrome (ACS) underwent echocardiographic examination by both an expert echocardiographer and a trainee. Both echocardiographers, blinded for clinical data and each other's findings, performed image analysis for evaluation of intra- and inter- observer variability. GLS was measured using speckle tracking echocardiography. LVEF was calculated by Simpson's biplane method., Results: The trainee measured a GLS of - 19.4% (±3.5%) and expert - 18.7% (±3.2%) with an Intra class correlation coefficient (ICC) of 0.89 (0.74-0.95). LVEF by trainee was 50.3% (±8.2%) and by expert 53.6% (±8.6%), ICC coefficient was 0.63 (0.32-0.80). For GLS the systematic difference was 0.21% (- 4.58-2.64) vs. 4.08% (- 20.78-12.62) for LVEF., Conclusion: GLS is a more reproducible method for evaluation of LV function than LVEF regardless of echocardiographic training.

Published
2019
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21. Intra-Aortic Balloon Pump Optimizes Myocardial Function During Cardiogenic Shock.

Author

Dahlslett T, Karlsen S, Grenne B, Sjøli B, Bendz B, Skulstad H, Smiseth OA, Edvardsen T, and Brunvand H

Subjects
Aged, Clinical Decision-Making, Echocardiography, Female, Hemodynamics, Humans, Male, Middle Aged, Myocardial Infarction complications, Myocardial Infarction physiopathology, Patient Selection, Predictive Value of Tests, Recovery of Function, Shock, Cardiogenic diagnostic imaging, Shock, Cardiogenic etiology, Shock, Cardiogenic physiopathology, Treatment Outcome, Ventricular Function, Left, Intra-Aortic Balloon Pumping, Shock, Cardiogenic therapy
Published
2018
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22. [A man in his 20s with abdominal pain and heart murmurs].

Author

Jortveit J, Dahlslett T, Kvien EH, Lundblad R, Trøseid M, and Beitnes JO

Subjects
Abdominal Pain etiology, Adult, Aortic Rupture complications, Aortic Rupture diagnostic imaging, Aortic Rupture surgery, Heart Murmurs etiology, Humans, Male, Sinus of Valsalva surgery, Ultrasonography, Young Adult, Aortic Rupture diagnosis, Sinus of Valsalva diagnostic imaging
Published
2016
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23. Early assessment of strain echocardiography can accurately exclude significant coronary artery stenosis in suspected non-ST-segment elevation acute coronary syndrome.

Author

Dahlslett T, Karlsen S, Grenne B, Eek C, Sjøli B, Skulstad H, Smiseth OA, Edvardsen T, and Brunvand H

Subjects
Acute Coronary Syndrome complications, Coronary Stenosis complications, Diagnosis, Differential, Early Diagnosis, Female, Humans, Male, Middle Aged, Reproducibility of Results, Sensitivity and Specificity, Ventricular Dysfunction, Left etiology, Acute Coronary Syndrome diagnostic imaging, Coronary Stenosis diagnostic imaging, Echocardiography methods, Elasticity Imaging Techniques methods, Image Interpretation, Computer-Assisted methods, Ventricular Dysfunction, Left diagnostic imaging
Abstract

Background: Many patients with suspected non-ST-segment elevation acute coronary syndrome (NSTE-ACS) do not have significant coronary artery disease. The current diagnostic approach of repeated electrocardiography and cardiac biomarker assessment requires observation for >6 to 12 hours. This strategy places a heavy burden on hospital facilities. The objective of this study was to investigate whether myocardial strain assessment by echocardiography could exclude significant coronary artery stenosis in patients presenting with suspected NSTE-ACS., Methods: Sixty-four patients presenting to the emergency department with suspected NSTE-ACS without known coronary artery disease, inconclusive electrocardiographic findings, and normal cardiac biomarkers at arrival were enrolled. Twelve-lead electrocardiography, troponin T assay, and echocardiography were performed at arrival, and all patients underwent coronary angiography. Significant coronary stenosis was defined as >50% luminal narrowing. Global myocardial peak systolic longitudinal strain was measured using speckle-tracking echocardiography. Left ventricular ejection fraction and wall motion score index were calculated., Results: No significant stenosis in any coronary artery was found in 35 patients (55%). Global peak systolic longitudinal strain was superior to conventional echocardiographic parameters in distinguishing patients with and without significant coronary artery stenosis (area under the curve, 0.87). Sensitivity and specificity were calculated as 0.93 and 0.78, respectively, and positive predictive value and negative predictive value as 0.74 and 0.92, respectively. Feasibility of the strain measurements was excellent, with 97% of segments analyzed., Conclusions: Myocardial strain by echocardiography may facilitate the exclusion of significant coronary artery stenosis among patients presenting with suspected NSTE-ACS with inconclusive electrocardiographic findings and normal cardiac biomarkers., (Copyright © 2014 American Society of Echocardiography. Published by Mosby, Inc. All rights reserved.)

Published
2014
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25. Are the guidelines for treatment of myocardial infarction complied with?

Author

Jortveit J, Grenne B, Uchto M, Dahlslett T, Fosse L, and Gunnes P

Subjects
Aged, Aged, 80 and over, Coronary Angiography standards, Female, Humans, Male, Middle Aged, Myocardial Infarction diagnosis, Norway, Percutaneous Coronary Intervention standards, Practice Guidelines as Topic, Registries, Guideline Adherence, Myocardial Infarction therapy, Time-to-Treatment
Abstract

Background: New guidelines recommend early invasive evaluation and treatment for most patients with acute myocardial infarction--including patients with myocardial infarction without ST elevation in the ECG. This study examines compliance with the new guidelines at Sørlandet Hospital Arendal., Material and Method: All patients admitted to Sørlandet Hospital Arendal with acute myocardial infarction in 2012 were registered in the Norwegian Myocardial Infarction Register. Data from the register were used to analyse the time that passed from symptom onset to coronary angiography and revascularisation., Results: In 2012, 788 patients were admitted to Sørlandet Hospital Arendal with acute myocardial infarction. Of these, 269 (34.1%) had ST elevation mycardial infarction (STEMI) and 519 (65.9%) had non-ST elevation myocardial infarction (NSTEMI). Most patients with ST elevation infarction (220 (81.8%)) were admitted directly to Sørlandet Hospital Arendal, and the median time from admission to revascularisation was 31 minutes. 347 (66.9%) of the patients with non-ST elevation infarction were first admitted to a local hospital before being transferred to Sørlandet Hospital Arendal. Only four (1.2%) of them underwent angiography within two hours of admission to the first hospital. 13 (9.0%) of the patients with non-ST elevation infarction who were admitted directly and underwent angiography (n = 144) had an angiogram within two hours of admission. Angiography was performed within 24 hours in 119 (34.3%) of those transferred (n = 347) and in 82 (56.9%) of the directly admitted patients who underwent angiography (n = 144)., Interpretation: Many patients with non-ST elevation infarction did not receive revascularisation with percutaneous coronary intervention (PCI) within the recommended time frame. Where there is a strong clinical suspicion of acute myocardial infarction, more patients should be admitted directly to hospitals with PCI preparedness.

Published
2014
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26. Risk assessment of ventricular arrhythmias in patients with nonischemic dilated cardiomyopathy by strain echocardiography.

Author

Haugaa KH, Goebel B, Dahlslett T, Meyer K, Jung C, Lauten A, Figulla HR, Poerner TC, and Edvardsen T

Subjects
Adult, Cardiomyopathy, Dilated complications, Cardiomyopathy, Dilated physiopathology, Female, Humans, Image Enhancement methods, Male, Myocardial Ischemia, Reproducibility of Results, Risk Assessment methods, Sensitivity and Specificity, Tachycardia, Ventricular etiology, Tachycardia, Ventricular physiopathology, Ventricular Dysfunction, Left etiology, Ventricular Dysfunction, Left physiopathology, Algorithms, Cardiomyopathy, Dilated diagnostic imaging, Echocardiography methods, Elasticity Imaging Techniques methods, Image Interpretation, Computer-Assisted methods, Tachycardia, Ventricular diagnostic imaging, Ventricular Dysfunction, Left diagnostic imaging
Abstract

Background: Indications for prophylactic implantable cardioverter-defibrillator implantation in patients with nonischemic dilated cardiomyopathy (DCM) are based on left ventricular (LV) ejection fraction (LVEF), although LVEF has limited ability to predict arrhythmias. It has recently been shown that strain echocardiography can predict ventricular arrhythmias in patients after myocardial infarction. The aim of this study was to evaluate whether strain echocardiography may help in the risk stratification of ventricular arrhythmias in patients with DCM., Methods: Ninety-four patients with nonischemic DCM were prospectively included. By speckle-tracking strain echocardiography, global longitudinal strain was calculated as the average of peak longitudinal strain from a 16-segment LV model. The time interval from electrocardiographic peak R to peak negative strain was assessed in each LV segment. Mechanical dispersion was defined as the standard deviation of time to peak negative strain from 16 LV segments., Results: After a median of 22 months of follow-up (range, 1-46 months), 12 patients (13%) had experienced arrhythmic events, defined as sustained ventricular tachycardia or cardiac arrest. LVEF and global longitudinal strain were reduced in patients with DCM with arrhythmic events compared with those without (28 ± 10% vs 38 ± 13%, P = .01, and -6.4 ± 3.3% vs -12.3 ± 5.2%, P < .001, respectively). Global longitudinal strain showed greater area under the curve than LVEF to identify arrhythmic events in receiver operating characteristic curve analyses (P = .05). Patients with arrhythmic events had increased mechanical dispersion (98 ± 43 vs 56 ± 18 ms, P < .001). Mechanical dispersion predicted arrhythmias independently of LVEF (hazard ratio, 1.28; 95% confidence interval, 1.11-1.49; P = .001)., Conclusions: Global longitudinal strain is a promising marker of arrhythmias. Mechanical dispersion predicted arrhythmic events in patients with DCM independently of LVEF. Strain echocardiography may help in the risk stratification of patients with DCM not fulfilling current implantable cardioverter-defibrillator indications., (Copyright © 2012 American Society of Echocardiography. Published by Mosby, Inc. All rights reserved.)

Published
2012
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27. Mean strain throughout the heart cycle by longitudinal two-dimensional speckle-tracking echocardiography enables early prediction of infarct size.

Author

Grenne B, Eek C, Sjøli B, Dahlslett T, Hol PK, Orn S, Skulstad H, Smiseth OA, Edvardsen T, and Brunvand H

Subjects
Female, Follow-Up Studies, Humans, Male, Middle Aged, Myocardial Infarction physiopathology, Myocardial Infarction surgery, Myocardial Revascularization, Predictive Value of Tests, Prognosis, Severity of Illness Index, Echocardiography methods, Heart Rate, Myocardial Contraction physiology, Myocardial Infarction diagnostic imaging, Stroke Volume physiology
Abstract

Background: Early prediction of infarct size directs therapy in patients with acute myocardial infarction (AMI). Global strain by echocardiography describes myocardial deformation and correlates with infarct size. However, peak strain measures deformation at a single time point, whereas ischemia and necrosis influence deformation throughout the heart cycle. It was hypothesized that the measurement of myocardial deformation throughout the heart cycle by mean strain is a more comprehensive expression of myocardial deformation. The aim of this study was to assess the ability of mean strain to predict infarct size and to identify large infarctions at admission and after revascularization in patients with AMI., Methods: Seventy-six patients with AMI were included. Echocardiographic measurements were performed at admission and after revascularization. Myocardial strain was calculated using speckle-tracking echocardiography. Infarct size was measured using contrast-enhanced magnetic resonance imaging ≥3 months after revascularization., Results: There were significant correlations between infarct size and longitudinal global mean strain, longitudinal global strain, and left ventricular ejection fraction (P < .0001), both at admission and after revascularization. The correlations improved after revascularization. Longitudinal global mean strain had the best correlation with infarct size and the best ability to discriminate between different infarct size categories. At admission, a cutoff value of -7.6 had 89% sensitivity, 88% specificity, and an area under the receiver operating characteristic curve of 0.92 for the identification of large infarctions. Prediction of infarct size improved for all parameters after revascularization., Conclusions: Longitudinal global mean strain provides improved early prediction of infarct size in patients with AMI compared with longitudinal global strain and left ventricular ejection fraction.

Published
2011
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