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4. An unusual right ventricle outflow obstruction in adult

Author

Chialastri C, Paolo Giuseppe Pino, Madeo A, Amedeo Pergolini, and Buffa

Subjects
Male, medicine.medical_specialty, Chest Pain, business.industry, Middle Aged, Sinus of Valsalva, Echocardiography, Doppler, Color, Ventricular Outflow Obstruction, Diagnosis, Differential, medicine.anatomical_structure, Dyspnea, Ventricle, Internal medicine, Cardiology, Medicine, Humans, Outflow, Cardiology and Cardiovascular Medicine, business
Published
2014

10. 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, Stefanadis, C, Cokkinos, DV, Pradel, S, Mohty, D, Magne, J, Darodes, N, Lavergne, D, Damy, T, Beaufort, C, Aboyans, V, Jaccard, A, Mzoughi, K, Zairi, I, Jabeur, M, Ben Moussa, F, Ben Chaabene, A, Kamoun, S, Mrabet, K, Fennira, S, Zargouni, A, Kraiem, S, Jovanova, S, Arnaudova-Dezjulovic, F, Correia, C E, Cruz, I, Marques, N, Fernandes, M, Bento, D, Moreira, D, Lopes, L, Azevedo, O, GROUP, SUNSHINE, Keramida, K, Kouris, N, Kostopoulos, V, Psarrou, G, Giannaris, V, Olympios, CD, Marketou, M, Parthenakis, F, Kalyva, N, Pontikoglou, CH, Maragkoudakis, S, Zacharis, E, Patrianakos, A, Roufas, K, Papadaki, H, Vardas, P, Dominguez Rodriguez, F, Monivas Palomero, V, Mingo Santos, S, Arribas Rivero, B, Cuenca Parra, S, Zegri Reiriz, I, Vazquez Lopez-Ibor, J, Garcia-Pavia, P, Szulik, M, Streb, W, Wozniak, A, Lenarczyk, R, Sliwinska, A, Kalarus, Z, Kukulski, T, Nemes, A, Domsik, P, Kalapos, A, Forster, T, Serra, W, Lumetti, FL, Mozzani, FM, Del Sante, GDS, Ariani, AA, Corros, C, Colunga, S, 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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11. Poster session 5: Friday 5 December 2014, 14:00-18:00 * Location: Poster area

Author

Turco, A, Duchenne, J, Nuyts, J, Gheysens, O, Voigt, J-U, Claus, P, Vunckx, K, Muhtarov, K, Ozer, N, Turk, G, Sunman, H, Karakulak, U, Sahiner, L, Kaya, B, Yorgun, H, Hazirolan, T, Aytemir, K, Warita, S, Kawasaki, M, Tanaka, R, Houle, H, Yagasaki, H, Nagaya, M, Ono, K, Noda, T, Watanabe, S, Minatoguchi, S, Kyle, AS, Dauphin, C, Lusson, J R, Dragoi Galrinho, R, Rimbas, RC, Ciobanu, AO, Marinescu, B, Cinteza, M, Vinereanu, D, 28343/04.11.2013, number, Medicine, Funding Authority: University of, Davila, Pharmacy Carol, "Young Researchers" Projects – 2013, Buchar, Dragoi Galrinho, R, Ciobanu, AO, Rimbas, RC, Marinescu, B, Cinteza, M, Vinereanu, D, 159/1.5/S/138907, Grant POSDRU, Aparina, O, Stukalova, O, Butorova, E, Makeev, M, Bolotova, M, Parkhomenko, D, Golitsyn, SP, Zengin, E, Hoffmann, B A, Ramuschkat, M, Ojeda, F, Weiss, C, Willems, S, Blankenberg, S, Schnabel, R B, Sinning, C R, Schubert, U, Suhai, F I, Toth, A, Kecskes, K, Czimbalmos, CS, Csecs, I, Maurovich-Horvat, P, Simor, T, Merkely, B, Vago, H, Slawek, D, Chrzanowski, L, Krecki, R, Binkowska, A, Kasprzak, J D, Palombo, C, Morizzo, C, Kozakova, M, Biering-Sorensen, T, Mogelvang, R, Jensen, JS, Charisopoulou, DC, Koulaouzidis, GK, Rydberg, AR, Henein, MH, Kovacs, A, Olah, A, Lux, A, Matyas, C, Nemeth, BT, Kellermayer, D, Ruppert, M, Birtalan, E, Merkely, B, Radovits, T, Sengelov, M, Biering-Sorensen, T, Jorgensen, PG, Bruun, NE, Fritz-Hansen, T, Bech, J, Olsen, FJ, Sivertsen, J, Jensen, JS, Henri, C, Dulgheru, R, Magne, J, Kou, S, Davin, L, Nchimi, A, Oury, C, Pierard, L, Lancellotti, P, Sahin, S T, Cengiz, B, Yurdakul, S, Altuntas, E, Aytekin, V, Aytekin, S, Bajraktari, G, Ibrahimi, P, Bytyci, I, Ahmeti, A, Batalli, A, Elezi, S, Henein, MY, Pavlyukova, EN, Tereshenkova, EK, Karpov, RS, Barbier, P, Mirea, O, Guglielmo, M, Savioli, G, Cefalu, C, Maltagliati, MC, Tumasyan, LR, Adamyan, KG, Chilingaryan, AL, Tunyan, LG, Kowalik, E, Klisiewicz, A, Biernacka, EK, Hoffman, P, Park, CS, Yi, JEY, Cho, JSC, Ihm, SHI, Kim, HYK, Cho, EJC, Jeon, HKJ, Jung, HOJ, Youn, HJY, Mcghie, JS, Menting, ME, Vletter, WB, Roos-Hesselink, JW, Geleijnse, ML, Van Der Zwaan, H, Van Den Bosch, A, Spethmann, S, Baldenhofer, G, Stangl, V, Baumann, G, Stangl, K, Laule, M, Dreger, H, Knebel, F, Erdei, T, Edwards, J, Braim, D, Yousef, Z, Fraser, AG, Cardiff, Investigators, MEDIA, Keramida, K, Kouris, N, Kostopoulos, V, Kostakou, P, Petrogiannos, CH, Olympios, CD, Bajraktari, G, Berisha, G, Bytyci, I, Ibrahimi, P, Rexhepaj, N, Henein, MY, Wdowiak-Okrojek, K, Shim, A, Wejner-Mik, P, Szymczyk, E, Michalski, B, Kasprzak, JD, Lipiec, P, Tarr, A, Stoebe, S, Pfeiffer, D, Hagendorff, A, Haykal, M, Ryu, SK, Park, JY, Kim, SH, Choi, JW, Goh, CW, Byun, YS, Choi, JH, Sonoko, M, Onishi, T, Fujimoto, W, Yamada, S, Taniguchi, Y, Yasaka, Y, Kawai, H, Okura, H, Sakamoto, Y, Murata, E, Kanai, M, Kataoka, T, Kimura, T, Watanabe, N, Kuriyama, N, Nakama, T, Furugen, M, Sagara, S, Koiwaya, H, Ashikaga, K, Matsuyama, A, Shibata, Y, Meimoun, P, Abouth, S, Martis, S, Boulanger, J, Elmkies, F, Zemir, H, Tzvetkov, B, Luycx-Bore, A, Clerc, J, Galli, E, Oger, E, Guirette, Y, Daudin, M, Fournet, M, Donal, E, Galli, E, Guirette, Y, Mabo, P, Donal, E, Keramida, K, Kouris, N, Kostopoulos, V, Psarrou, G, Petrogiannos, CH, Hatzigiannis, P, Olympios, CD, Igual Munoz, B, Erdociain Perales, MEP, Maceira Gonzalez Alicia, AMG, Vazquez Sanchez, ALEJAN, Miro Palau, VMP, Alonso Fernandez, PAF, Donate Bertolin, LDB, Estornell Erill, JEE, Cervera, AC, Montero Argudo Anastasio, AMA, Okura, H, Koyama, T, Maehama, T, Imai, K, Yamada, R, Kume, T, Neishi, Y, Caballero Jimenez, L, Garcia-Navarro, M, Saura, D, Oliva, MJ, Gonzalez-Carrillo, J, Espinosa, MD, Valdes, M, De La Morena, G, Venkateshvaran, A, Sola, S, Dash, P K, Annappa, C, Manouras, A, Winter, R, Brodin, LA, Govind, S C, Laufer-Perl, LM, Topilsky, Y, Stugaard, M, Koriyama, H, Katsuki, K, Masuda, K, Asanuma, T, Takeda, Y, Sakata, Y, Nakatani, S, Marta, L, Abecasis, J, Reis, C, Dores, H, Cafe, H, Ribeiras, R, Andrade, MJ, Mendes, M, Goebel, B, Hamadanchi, A, Schmidt-Winter, C, Otto, S, Jung, C, Figulla, HR, Poerner, TC, Kim, D-H, Sun, BJ, Jang, JY, Choi, HN, Song, J-M, Kang, D-H, Song, J-K, Zakhama, L, Slama, I, Boussabah, E, Antit, S, Herbegue, B, Annabi, MS, Jalled, A, Ben Ameur, W, Thameur, M, Ben Youssef, S, O' Grady, H, Gilmore, M, Delassus, P, Sturmberger, T, Ebner, C, Aichinger, J, Tkalec, W, Eder, V, Nesser, HJ, Caggegi, A M, Scandura, S, Capranzano, P, Grasso, C, Mangiafico, S, Ronsivalle, G, Dipasqua, F, Arcidiacono, A, Cannata, S, Tamburino, C, Chapman, M, Henthorn, RENEE, Surikow, S, Zoontjens, J, Stocker, B, Mclean, T, Zeitz, C J, Fabregat Andres, O, Estornell-Erill, J, Ridocci-Soriano, F, De La Espriella, R, Albiach-Montanana, C, Trejo-Velasco, B, Perdomo-Londono, D, Facila, L, Morell, S, Cortijo-Gimeno, J, Kouris, N, Keramida, K, Kostopoulos, V, Psarrou, G, Kostakou, P, Olympios, CD, Kuperstein, R, Blechman, I, Freimatk, D, Arad, M, Ochoa, J P, Fernandez, A, Vaisbuj, F, Salmo, F, Fava, AM, Casabe, H, Guevara, EG, Fernandes, A, Cateano, F, Almeida, I, Silva, J, Trigo, J, Botelho, A, Sanches, C, Venancio, M, Goncalves, L, Schnell, F, Daudin, M, Oger, E, Bouillet, P, Mabo, P, Carre, F, Donal, E, Petrella, L, Fabiani, D, Paparoni, S, De Remigis, F, Tomassoni, G, Prosperi, F, Napoletano, C, Marchel, M, Serafin, A, Kochanowski, J, Steckiewicz, R, Madej-Pilarczyk, A, Filipiak, KJ, Opolski, G, Abid, L, Ben Kahla, S, Charfeddine, S, Kammoun, S, Monivas Palomero, V, Mingo Santos, S, Goirigoizarri Artaza, J, Rodriguez Gonzalez, E, Restrepo Cordoba, A, Rivero Arribas, B, Garcia Lunar, I, Gomez Bueno, M, Sayago Silva, I, Segovia Cubero, J, Zengin, E, Radunski, U K, Klusmeier, M, Ojeda, F, Rybczynski, M, Barten, M, Muellerleile, K, Reichenspurner, H, Blankenberg, S, Sinning, C R, Romano, G, Licata, P, Tuzzolino, F, Clemenza, F, Di Gesaro, G, Hernandez Baravoglia, C, Scardulla, C, Pilato, M, Hashimoto, G, Suzuki, M, Yoshikawa, H, Otsuka, T, 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AL, Kenjaev, ML, Mendes, LM, Lima, S, Dantas, C, Melo, I, Madeira, V, Balao, S, Alves, H, Baptista, E, Mendes, P, Santos, JF, Scali, MC, Mandoli, GE, Simioniuc, A, Massaro, F, Di Bello, V, Marzilli, M, Dini, FL, Cifra, B, Dragulescu, A, Friedberg, MK, Mertens, L, Scali, MC, Bayramoglu, A, Tasolar, H, Otlu, YO, Hidayet, S, Kurt, F, Dogan, A, Pekdemir, H, Stefani, L, Galanti, GG, De Luca, ADL, Toncelli, LT, Pedrizzetti, GP, Gopal, A S, Saha, SK, Toole, RS, Kiotsekoglou, A, Cao, JJ, Reichek, N, Ho, S-J, Hung, S-C, Chang, F-Y, Liao, J-N, Niu, D-M, Yu, W-C, Nemes, A, Kalapos, A, Domsik, P, Forster, T, Siarkos, M, Sammut, E, Lee, L, Jackson, T, Carr-White, G, Rajani, R, Kapetanakis, S, Jarvinen, VM, Sipola, P, Madeo, A, Piras, P, Evangelista, A, Giura, G, Dominici, T, Nardinocchi, P, Varano, V, Chialastri, C, Puddu, PE, Torromeo, C, Sanchis Ruiz, L, Montserrat, S, Obach, V, Cervera, A, Bijnens, B, Sitges, M, Charisopoulou, D, Banner, N R, Rahman-Haley, S, Kim, BJ, Kang, JG, Lee, SH, Sung, KC, Kim, BS, Kang, JH, Lee, ES, Imperadore, F, Del Greco, M, Jermendy, AL, Horcsik, DV, Horvath, T, Celeng, C, Nagy, E, Bartykowszki, A, Tarnoki, DL, Merkely, B, Maurovich-Horvat, P, Jermendy, G, Whitaker, J, Demir, OM, Walton, J, Wragg, A, Alfakih, K, Karolyi, M, Szilveszter, B, Raaijmakers, R, Giepmans, W, Horvath, T, Merkely, B, Maurovich-Horvat, P, Koulaouzidis, GK, Charisopoulou, DC, Mcarthur, TM, Jenkins, PJJ, Henein, MH, Silva, T, Ramos, R, Oliveira, M, Marques, H, Cunha, P, Silva, MN, Barbosa, C, Sofia, A, Pimenta, R, Ferreira, RC, Al-Mallah, M, and Alsaileek, A

Abstract

Clinical PET acquisitions of the heart suffer from artefacts and drops in image quality due to the poor spatial resolution of the PET system. Moreover, cardiac PET images are further degraded by the blur caused by the breathing and beating motions, thus hampering diagnosis and evaluation of myocardial pathologies. Anatomy-enhanced PET reconstruction, using a high-resolution CT, has proven useful in brain imaging. In cardiac datasets however, due to the motion artefacts, the application of any restoring technique on datasets affected by motion blur needs to be preceded by the validation of the proposed method on realistic static datasets. In this work, the validation is performed using static cardiac ex vivo datasets obtained from a number of sacrificed sheep, scanned on a clinical PET/CT scanner. The aim of this work is to assess the effectiveness of reconstructions of the acquired datasets with different CT-based anatomical priors, in comparison to reconstructions currently applied in clinical practise. The gold standard to which all reconstructions are compared consists of images of the same hearts scanned on a small-animal PET scanner, whose high spatial resolution allows for almost artefact-free images. Encouraging results were obtained so far, with improvements in volume delineation and uniformity of activity values when anatomical information was used. Fig 1 shows the gold standard image (left) compared to a regular clinical reconstruction (middle) and to a reconstruction using the high-resolution CT as anatomical information (right). Figure

Published
2014
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12. Non-invasive prediction of genotype positive–phenotype negative in hypertrophic cardiomyopathy by 3D modern shape analysis

Author

Concetta Torromeo, Andrea Madeo, Paola Nardinocchi, Antonietta Evangelista, Claudia Chialastri, Michele Schiariti, Luciano Teresi, Federica Re, Paolo Piras, Paolo Emilio Puddu, Valerio Varano, Giuseppe Esposito, Piras, P., Torromeo, C., Evangelista, A., Esposito, G., Nardinocchi, P., Teresi, L., Madeo, A., Re, F., Chialastri, C., Schiariti, M., Varano, V., and Puddu, P. E.

Subjects
Adult, Male, medicine.medical_specialty, Genotype, Physiology, Heart Ventricles, Speckle tracking echocardiography, 030204 cardiovascular system & hematology, Muscle hypertrophy, 03 medical and health sciences, Ventricular Dysfunction, Left, 0302 clinical medicine, Physiology (medical), Internal medicine, Medicine, Humans, cardiovascular diseases, Nutrition and Dietetics, 3D echocardiography, Receiver operating characteristic, business.industry, Hypertrophic cardiomyopathy, General Medicine, Cardiomyopathy, Hypertrophic, Middle Aged, medicine.disease, hypertrophic cardiomyopathy, Phenotype, 3D echocardiography, genetics, genotype positive, hypertrophic cardiomyopathy, modern shape analysis, medicine.anatomical_structure, ROC Curve, genotype positive, modern shape analysis, Ventricle, Echocardiography, Cardiology, Female, Hypertrophy, Left Ventricular, genetic, business, 030217 neurology & neurosurgery, Shape analysis (digital geometry)
Abstract

New findings What is the central question of this study? Can impaired deformational indicators for genotype positive for hypertrophic cardiomyopathy in subjects that do not exhibit a left-ventricular wall hypertrophy condition (G+LVH-) be determined using non-invasive 3D echocardiography? What is the main finding and its importance? Using 3D-STE and modern shape analysis, peculiar deformational impairments can be detected in G+LVH- subjects that can be classified with good accuracy. Moreover, the patterns of impairment are located mainly on the apical region in agreement with other evidence coming from previous biomechanical investigations. Abstract We propose a non-invasive procedure for predicting genotype positive for hypertrophic cardiomyopathy (HCM) in subjects that do not exhibit a left-ventricular wall hypertrophy condition (G+LVH-); the procedure is based on the enhanced analysis of medical imaging from 3D speckle tracking echocardiography (3D-STE). 3D-STE, due to its low quality images, has not been used so far to detect effectively the G+LVH- condition. Here, we post-processed echocardiographic images exploiting the tools of modern shape analysis, and we studied the motion of the left ventricle (LV) during an entire cycle. We enrolled 82 controls, 21 HCM patients and 11 G+LVH- subjects. We followed two steps: (i) we selected the most impaired regions of the LV by analysing its strains; and (ii) we used shape analysis on these regions to classify the subjects. The G+LVH- subjects showed different trajectories and deformational attributes. We found high classification performance in terms of area under the receiver operating characteristic curve (∼90), sensitivity (∼78) and specificity (∼79). Our results showed that (i) G+LVH- subjects present important deformational impairments relative to healthy controls and (ii) modern shape analysis can efficiently predict genotype by means of a non-invasive and inexpensive technique such as 3D-STE.

Published
2019

13. Non-invasive prediction of genotype positive-phenotype negative in hypertrophic cardiomyopathy by 3D modern shape analysis.

Author

Piras P, Torromeo C, Evangelista A, Esposito G, Nardinocchi P, Teresi L, Madeo A, Re F, Chialastri C, Schiariti M, Varano V, and Puddu PE

Subjects
Adult, Echocardiography methods, Female, Genotype, Heart Ventricles physiopathology, Humans, Hypertrophy, Left Ventricular physiopathology, Male, Middle Aged, Phenotype, ROC Curve, Ventricular Dysfunction, Left physiopathology, Cardiomyopathy, Hypertrophic physiopathology
Abstract

New Findings: What is the central question of this study? Can impaired deformational indicators for genotype positive for hypertrophic cardiomyopathy in subjects that do not exhibit a left-ventricular wall hypertrophy condition (G+LVH-) be determined using non-invasive 3D echocardiography? What is the main finding and its importance? Using 3D-STE and modern shape analysis, peculiar deformational impairments can be detected in G+LVH- subjects that can be classified with good accuracy. Moreover, the patterns of impairment are located mainly on the apical region in agreement with other evidence coming from previous biomechanical investigations., Abstract: We propose a non-invasive procedure for predicting genotype positive for hypertrophic cardiomyopathy (HCM) in subjects that do not exhibit a left-ventricular wall hypertrophy condition (G+LVH-); the procedure is based on the enhanced analysis of medical imaging from 3D speckle tracking echocardiography (3D-STE). 3D-STE, due to its low quality images, has not been used so far to detect effectively the G+LVH- condition. Here, we post-processed echocardiographic images exploiting the tools of modern shape analysis, and we studied the motion of the left ventricle (LV) during an entire cycle. We enrolled 82 controls, 21 HCM patients and 11 G+LVH- subjects. We followed two steps: (i) we selected the most impaired regions of the LV by analysing its strains; and (ii) we used shape analysis on these regions to classify the subjects. The G+LVH- subjects showed different trajectories and deformational attributes. We found high classification performance in terms of area under the receiver operating characteristic curve (∼90), sensitivity (∼78) and specificity (∼79). Our results showed that (i) G+LVH- subjects present important deformational impairments relative to healthy controls and (ii) modern shape analysis can efficiently predict genotype by means of a non-invasive and inexpensive technique such as 3D-STE., (© 2019 The Authors. Experimental Physiology © 2019 The Physiological Society.)

Published
2019
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14. Left Atrial trajectory impairment in Hypertrophic Cardiomyopathy disclosed by Geometric Morphometrics and Parallel Transport.

Author

Piras P, Torromeo C, Re F, Evangelista A, Gabriele S, Esposito G, Nardinocchi P, Teresi L, Madeo A, Chialastri C, Schiariti M, Varano V, Uguccioni M, and Puddu PE

Subjects
Adult, Atrial Function, Left physiology, Cardiomyopathy, Hypertrophic pathology, Case-Control Studies, Echocardiography, Three-Dimensional, Female, Heart Atria diagnostic imaging, Heart Atria pathology, Heart Atria physiopathology, Humans, Imaging, Three-Dimensional, Linear Models, Male, Middle Aged, Support Vector Machine, Cardiomyopathy, Hypertrophic diagnostic imaging, Cardiomyopathy, Hypertrophic physiopathology, Models, Cardiovascular
Abstract

The analysis of full Left Atrium (LA) deformation and whole LA deformational trajectory in time has been poorly investigated and, to the best of our knowledge, seldom discussed in patients with Hypertrophic Cardiomyopathy. Therefore, we considered 22 patients with Hypertrophic Cardiomyopathy (HCM) and 46 healthy subjects, investigated them by three-dimensional Speckle Tracking Echocardiography, and studied the derived landmark clouds via Geometric Morphometrics with Parallel Transport. Trajectory shape and trajectory size were different in Controls versus HCM and their classification powers had high AUC (Area Under the Receiving Operator Characteristic Curve) and accuracy. The two trajectories were much different at the transition between LA conduit and booster pump functions. Full shape and deformation analyses with trajectory analysis enabled a straightforward perception of pathophysiological consequences of HCM condition on LA functioning. It might be worthwhile to apply these techniques to look for novel pathophysiological approaches that may better define atrio-ventricular interaction.

Published
2016
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15. A new 4D trajectory-based approach unveils abnormal LV revolution dynamics in hypertrophic cardiomyopathy.

Author

Madeo A, Piras P, Re F, Gabriele S, Nardinocchi P, Teresi L, Torromeo C, Chialastri C, Schiariti M, Giura G, Evangelista A, Dominici T, Varano V, Zachara E, and Puddu PE

Subjects
Adult, Diastole, Echocardiography, Three-Dimensional, Endocardium pathology, Female, Genotype, Healthy Volunteers, Humans, Male, Middle Aged, Phenotype, Principal Component Analysis, ROC Curve, Cardiomyopathy, Hypertrophic pathology, Heart Ventricles pathology
Abstract

The assessment of left ventricular shape changes during cardiac revolution may be a new step in clinical cardiology to ease early diagnosis and treatment. To quantify these changes, only point registration was adopted and neither Generalized Procrustes Analysis nor Principal Component Analysis were applied as we did previously to study a group of healthy subjects. Here, we extend to patients affected by hypertrophic cardiomyopathy the original approach and preliminarily include genotype positive/phenotype negative individuals to explore the potential that incumbent pathology might also be detected. Using 3D Speckle Tracking Echocardiography, we recorded left ventricular shape of 48 healthy subjects, 24 patients affected by hypertrophic cardiomyopathy and 3 genotype positive/phenotype negative individuals. We then applied Generalized Procrustes Analysis and Principal Component Analysis and inter-individual differences were cleaned by Parallel Transport performed on the tangent space, along the horizontal geodesic, between the per-subject consensuses and the grand mean. Endocardial and epicardial layers were evaluated separately, different from many ecocardiographic applications. Under a common Principal Component Analysis, we then evaluated left ventricle morphological changes (at both layers) explained by first Principal Component scores. Trajectories' shape and orientation were investigated and contrasted. Logistic regression and Receiver Operating Characteristic curves were used to compare these morphometric indicators with traditional 3D Speckle Tracking Echocardiography global parameters. Geometric morphometrics indicators performed better than 3D Speckle Tracking Echocardiography global parameters in recognizing pathology both in systole and diastole. Genotype positive/phenotype negative individuals clustered with patients affected by hypertrophic cardiomyopathy during diastole, suggesting that incumbent pathology may indeed be foreseen by these methods. Left ventricle deformation in patients affected by hypertrophic cardiomyopathy compared to healthy subjects may be assessed by modern shape analysis better than by traditional 3D Speckle Tracking Echocardiography global parameters. Hypertrophic cardiomyopathy pathophysiology was unveiled in a new manner whereby also diastolic phase abnormalities are evident which is more difficult to investigate by traditional ecocardiographic techniques.

Published
2015
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16. An unusual right ventricle outflow obstruction in adult.

Author

Madeo A, Pino PG, Pergolini A, Chialastri C, and Buffa V

Subjects
Chest Pain etiology, Diagnosis, Differential, Dyspnea etiology, Echocardiography, Doppler, Color, Humans, Male, Middle Aged, Ventricular Outflow Obstruction diagnostic imaging, Ventricular Outflow Obstruction surgery, Sinus of Valsalva, Ventricular Outflow Obstruction diagnosis
Published
2014
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17. Congenitally corrected transposition of the great arteries with severely stenotic bicuspid aortic valve in an adult: a case report.

Author

Pino PG, Pergolini A, Zampi G, Calicchia A, Chialastri C, Orsini FM, Fini F, Buffa V, and Minardi G

Subjects
Aortic Valve abnormalities, Aortic Valve diagnostic imaging, Aortic Valve Stenosis congenital, Bicuspid Aortic Valve Disease, Congenitally Corrected Transposition of the Great Arteries, Humans, Male, Middle Aged, Aortic Valve Stenosis diagnostic imaging, Aortic Valve Stenosis etiology, Echocardiography methods, Heart Valve Diseases congenital, Heart Valve Diseases diagnostic imaging, Transposition of Great Vessels complications, Transposition of Great Vessels diagnostic imaging
Abstract

Congenitally corrected transposition of the great arteries (CCTGA) is a rare disease accounting for 0.5-1.4% of patients with congenital heart disease. In this congenital cardiopathy, the left atrium is connected to the right ventricle, from which the aorta stems. We present a case of an adult with CCTGA associated with aortic stenosis and bicuspid aortic valve-an association not yet described to our knowledge. , (© 2011, Wiley Periodicals, Inc.)

Published
2012
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