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2. Poster session 2: Thursday 4 December 2014, 08: 30–12: 30Location: Poster area
- Author
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Pavlyukova, EN, Tereshenkova, EK, and Karpov, RS
- Published
- 2014
3. Poster session 2: Thursday 4 December 2014, 08:30-12:30 * Location: Poster area
- Author
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Domingos, JS, Augustine, DX, Leeson, P, Noble, JA, Doan, H-L, Boubrit, L, Cheikh-Khalifa, R, Laveau, F, Djebbar, M, Pousset, F, Isnard, R, Hammoudi, N, Lisi, M, Cameli, M, Di Tommaso, C, Curci, V, Reccia, R, Maccherini, M, Henein, M Y, Mondillo, S, Leitman, M, Vered, Z, Rashid, H, Yalcin, M U, Gurses, K M, Kocyigit, D, Evranos, B, Yorgun, H, Sahiner, L, Kaya, B, Aytemir, K, Ozer, N, Bertella, E, Petulla', M, Baggiano, A, Mushtaq, S, Russo, E, Gripari, P, Innocenti, E, Andreini, D, Tondo, C, Pontone, G, Necas, J, Kovalova, S, Hristova, K, Shiue, I, Bogdanva, V, Teixido Tura, G, Sanchez, V, Rodriguez-Palomares, J, Gutierrez, L, Gonzalez-Alujas, T, Garcia-Dorado, D, Forteza, A, Evangelista, A, Timoteo, A T, Aguiar Rosa, S, Cruz Ferreira, R, Campbell, R, Carrick, D, Mccombe, C, Tzemos, N, Berry, C, Sonecki, P, Noda, M, Setoguchi, M, Ikenouchi, T, Nakamura, T, Yamamoto, Y, Murakami, T, Katou, Y, Usui, M, Ichikawa, K, Isobe, M, Kwon, BJ, Roh, JW, Kim, HY, Ihm, SH, Barron, A J, Francis, DP, Mayet, J, Wensel, R, Kosiuk, J, Dinov, B, Bollmann, A, Hindricks, G, Breithardt, OA, Rio, P, Moura Branco, L, Galrinho, A, Cacela, D, Pinto Teixeira, P, Afonso Nogueira, M, Pereira-Da-Silva, T, Abreu, J, Teresa Timoteo, A, Cruz Ferreira, R, Pavlyukova, EN, Tereshenkova, EK, Karpov, RS, Piatkowski, R, Kochanowski, J, Opolski, G, Barbier, P, Mirea, O, Guglielmo, M, Savioli, G, Cefalu, C, Pudil, R, Horakova, L, Rozloznik, M, Balestra, C, P37/03, PRVOUK, Rimbas, RC, Enescu, OA, Calin, S, Vinereanu, D, POSDRU/159/1.5/S/141531, Grant, Karsenty, C, Hascoet, S, Hadeed, K, Semet, F, Dulac, Y, Alacoque, X, Leobon, B, Acar, P, Dharma, S, Sukmawan, R, Soesanto, AM, Vebiona, KPP, Firdaus, I, Danny, SS, Driessen, M M P, Sieswerda, GTJ, Post, MC, Snijder, RJ, Van Dijk, APJ, Leiner, T, Meijboom, FJ, Chrysohoou, C, Tsitsinakis, G, Tsiachris, D, Aggelis, A, Herouvim, E, Vogiatzis, I, Pitsavos, C, Koulouris, G, Stefanadis, C, Erdei, T, Edwards, J, Braim, D, Yousef, Z, Fraser, AG, Cardiff, Investigators, MEDIA, Avenatti, E, Magnino, C, Omede', P, Presutti, D, Moretti, C, Iannaccone, A, Ravera, A, Gaita, F, Milan, A, Veglio, F, Barbier, P, Scali, MC, Simioniuc, A, Guglielmo, M, Savioli, G, Cefalu, C, Mirea, O, Fusini, L, Dini, F, Okura, H, Murata, E, Kataoka, T, Mikaelpoor, A, Ojaghi Haghighi, SH, Ojaghi Haghighi, SZ, Alizadeasl, A, Sharifi-Zarchi, A, Zaroui, A, Ben Halima, M, Mourali, MS, Mechmeche, R, Rodriguez Palomares, J F, Gutierrez, LG, Maldonado, GM, Garcia, GG, Otaegui, IO, Garcia Del Blanco, BGB, Teixido, GT, Gonzalez Alujas, MTGA, Evangelista, AE, Garcia Dorado, DGD, Godinho, A R, Correia, AS, Rangel, I, Rocha, A, Rodrigues, J, Araujo, V, Almeida, PB, Macedo, F, Maciel, MJ, Rekik, B, Mghaieth, F, Aloui, H, Boudiche, S, Jomaa, M, Ayari, J, Tabebi, N, Farhati, A, Mourali, S, Dekleva, M, Markovic-Nikolic, N, Zivkovic, M, Stankovic, A, Boljevic, D, Korac, N, Beleslin, B, Arandjelovic, A, Ostojic, M, Galli, E, Guirette, Y, Auffret, V, Daudin, M, Fournet, M, Mabo, P, Donal, E, Chin, C W L, Luo, E, Hwan, J, White, A, Newby, D, Dweck, M, Carstensen, H G, Larsen, L H, Hassager, C, Kofoed, K F, Jensen, J S, Mogelvang, R, Kowalczyk, M, Debska, M, Kolesnik, A, Dangel, J, Kawalec, W, Migliore, RA, Adaniya, ME, Barranco, MA, Miramont, G, Gonzalez, S, Tamagusuku, H, Davidsen, E S, Kuiper, K K J, Matre, K, Gerdts, E, Igual Munoz, B, Maceira Gonzalez, AMG, Erdociain Perales, MEP, Estornell Erill, JEE, Valera Martinez, FVM, Miro Palau, VMP, Piquer Gil, MPG, Sepulveda Sanchez, PSS, Cervera Zamora, ACZ, Montero Argudo, AMA, Placido, R, Silva Marques, J, Magalhaes, A, Guimaraes, T, Nobre E Menezes, M, Goncalves, S, Ramalho, A, Robalo Martins, S, Almeida, AG, Nunes Diogo, A, Abid, L, Ben Kahla, S, Charfeddine, S, Abid, D, Kammoun, S, Tounsi, A, Abid, LEILA, Abid, DORRA, Charfeddine, SALMA, Hammami, RANIA, Triki, FETEN, Akrout, MALEK, Mallek, SOUAD, Hentati, MOURAD, Kammoun, SAMIR, Sirbu, C F, Berrebi, A, Huber, A, Folliguet, T, Yang, L-T, Shih, JY, Liu, YW, Li, YH, Tsai, LM, Luo, CY, Tsai, WC, Babukov, R, Bartosh, F, Bazilev, V, Muraru, D, Cavalli, G, Addetia, K, Miglioranza, MH, Veronesi, F, Mihaila, S, Tadic, M, Cucchini, U, Badano, L, Lang, RM, Miyazaki, S, Slavich, M, Miyazaki, T, Figini, F, Lativ, A, Chieffo, A, Montrfano, M, Alfieri, O, Colombo, A, Agricola, E, Liu, D, Hu, K, Herrmann, S, Stoerk, S, Kramer, B, Ertl, G, Bijnens, B, Weidemann, F, Brand, M, Butz, T, Tzikas, S, Van Bracht, M, Roeing, J, Wennemann, R, Christ, M, Grett, M, Trappe, H-J, Scherzer, S, Geroldinger, AG, Krenn, L, Roth, C, Gangl, C, Maurer, G, Rosenhek, R, Neunteufl, T, Binder, T, Bergler-Klein, J, Martins, E, Pinho, T, Leite, S, Azevedo, O, Belo, A, Campelo, M, Amorim, S, Rocha-Goncalves, F, Goncalves, L, Silva-Cardoso, J, Ahn, HS, Kim, KT, Jeon, HK, Youn, HJ, Haland, T, Saberniak, J, Leren, IS, Edvardsen, T, Haugaa, KH, Ziolkowska, L, Boruc, A, Kowalczyk, M, Turska-Kmiec, A, Zubrzycka, M, Kawalec, W, Monivas Palomero, V, Mingo Santos, S, Goirigolzarri Artaza, J, Rodriguez Gonzalez, E, Rivero Arribas, B, Castro Urda, V, Dominguez Rodriguez, F, Mitroi, C, Gracia Lunar, I, Fernadez Lozano, I, Palecek, T, Masek, M, Kuchynka, P, Fikrle, M, Spicka, I, Rysava, R, Linhart, A, Saberniak, J, Hasselberg, NE, Leren, IS, Haland, T, Borgquist, R, Platonov, PG, Edvardsen, T, Haugaa, KH, Ancona, R, Comenale Pinto, S, Caso, P, Coopola, MG, Arenga, F, Rapisarda, O, D'onofrio, A, Sellitto, V, Calabro, R, Rosca, M, Popescu, BA, Calin, A, Mateescu, A, Beladan, CC, Jalba, M, Rusu, E, Zilisteanu, D, Ginghina, C, Pressman, G, Cepeda-Valery, B, Romero-Corral, A, Moldovan, R, Saenz, A, Orban, M, Samuel, SP, Fijalkowski, M, Fijalkowska, M, Gilis-Siek, N, Blaut, K, Galaska, R, Sworczak, K, Gruchala, M, Fijalkowski, M, Nowak, R, Gilis-Siek, N, Fijalkowska, M, Galaska, R, Gruchala, M, Ikonomidis, I, Triantafyllidi, H, Trivilou, P, Tzortzis, S, Papadopoulos, C, Pavlidis, G, Paraskevaidis, I, Lekakis, J, Padiyath, A, Li, L, Xiao, Y, Danford, DA, Kutty, S, Kaymaz, C, Aktemur, T, Poci, N, Ozturk, S, Akbal, O, Yilmaz, F, Tokgoz Demircan, HC, Kirca, N, Tanboga, IH, Ozdemir, N, Investigators, EUPHRATES, Greiner, S, Jud, A, Aurich, M, Hess, A, Hilbel, T, Hardt, S, Katus, HA, D'ascenzi, F, Cameli, M, Alvino, F, Lisi, M, Focardi, M, Solari, M, Bonifazi, M, Mondillo, S, Konopka, M, Krol, W, Klusiewicz, A, Burkhard, K, Chwalbinska, J, Pokrywka, A, Dluzniewski, M, Braksator, W, King, G J, Coen, K, Gannon, S, Fahy, N, Kindler, H, Clarke, J, Iliuta, L, Rac-Albu, M, Placido, R, Robalo Martins, S, Guimaraes, T, Nobre E Menezes, M, Cortez-Dias, N, Francisco, A, Silva, G, Goncalves, S, Almeida, AG, Nunes Diogo, A, Kyu, K, Kong, WKF, Songco, GG, Galupo, MJ, Castro, MD, Shin Hnin, W, Ronald Lee, CH, Poh, KK, Milazzo, V, Di Stefano, C, Tosello, F, Leone, D, Ravera, A, Sabia, L, Sobrero, G, Maule, S, Veglio, F, Milan, A, Jamiel, A M, Ahmed, A M, Farah, I, Al-Mallah, M H, Petroni, R, Magnano, R, Bencivenga, S, Di Mauro, M, Petroni, S, Altorio, SF, Romano, S, Penco, M, Kumor, M, Lipczynska, M, Klisiewicz, A, Wojcik, A, Konka, M, Kozuch, K, Szymanski, P, Hoffman, P, Rimbas, RC, Rimbas, M, Enescu, OA, Mihaila, S, Calin, S, Vinereanu, D, 112/2011, Grant CNCSIS, 159/1.5/S/141531, Grant POSDRU, Donal, E, Reynaud, A, Lund, LH, Persson, H, Hage, C, Oger, E, Linde, C, Daubert, JC, investigators, KaRen, Maria Oliveira Lima, M, Costa, H, Gomes Da Silva, M, Noman Alencar, MC, Carmo Pereira Nunes, M, Costa Rocha, MO, Abid, L, Charfeddine, S, Ben Kahla, S, Abid, D, Siala, A, Hentati, M, Kammoun, S, Kovalova, S, Necas, J, Ozawa, K, Funabashi, N, Takaoka, H, Kobayashi, Y, Matsumura, Y, Wada, M, Hirakawa, D, Yasuoka, Y, Morimoto, N, Takeuchi, H, Kitaoka, H, Sugiura, T, Lakkas, L, Naka, KK, Ntounousi, E, Gkirdis, I, Koutlas, V, Bechlioulis, A, Pappas, K, Katsouras, CS, Siamopoulos, K, Michalis, LK, Naka, KK, Evangelou, D, Kalaitzidis, R, Bechlioulis, A, Lakkas, L, Gkirdis, I, Tzeltzes, G, Nakas, G, Katsouras, CS, Michalis, LK, Generati, G, Bandera, F, Pellegrino, M, Labate, V, Alfonzetti, E, Guazzi, M, Zagatina, A, Zhuravskaya, N, Al-Mallah, M, Alsaileek, A, Qureshi, W, Karsenty, C, Hascoet, S, Peyre, M, Hadeed, K, Alacoque, X, Amadieu, R, Leobon, B, Dulac, Y, Acar, P, Yamanaka, Y, Sotomi, Y, Iwakura, K, Inoue, K, Toyoshima, Y, Tanaka, K, Oka, T, Tanaka, N, Orihara, Y, Fujii, K, Soulat-Dufour, L, Lang, S, Boyer-Chatenet, L, Van Der Vynckt, C, Ederhy, S, Adavane, S, Haddour, N, Boccara, F, Cohen, A, Huitema, MP, Boerman, S, Vorselaars, VMM, Grutters, JC, Post, MC, Gopal, A S, Saha, SK, Toole, RS, Kiotsekoglou, A, Cao, JJ, Reichek, N, Meyer, C G, Altiok, E, Al Ateah, G, Lehrke, M, Becker, M, Lotfi, S, Autschbach, R, Marx, N, Hoffmann, R, Frick, M, Nemes, A, Sepp, R, Kalapos, A, Domsik, P, Forster, T, Caro Codon, J, Blazquez Bermejo, Z, Lopez Fernandez, T, Valbuena Lopez, S C, Iniesta Manjavacas, A M, De Torres Alba, F, Dominguez Melcon, F, Pena Conde, L, Moreno Yanguela, M, Lopez-Sendon, J L, Nemes, A, Lengyel, C, Domsik, P, Kalapos, A, Orosz, A, Varkonyi, TT, Forster, T, Rendon, J, Saldarriaga, C I, Duarte, N, Nemes, A, Domsik, P, Kalapos, A, Forster, T, Nemes, A, Domsik, P, Kalapos, A, Sepp, R, Foldeak, D, Borbenyi, Z, Forster, T, Hamdy, AM, Fereig, HM, Nabih, MA, Abdel-Aziz, A, Ali, AA, Broyd, CJ, Wielandts, J-Y, De Buck, S, Michielsen, K, Louw, R, Garweg, C, Nuyts, J, Ector, J, Maes, F, Heidbuchel, H, Gillis, K, Bala, G, Tierens, S, Cosyns, B, Maurovich-Horvat, P, Horvath, T, Jermendy, A, Celeng, C, Panajotu, A, Bartykowszki, A, Karolyi, M, Tarnoki, AD, Jermendy, G, and Merkely, B
- Abstract
Purpose: 3D echocardiography (3DE) enables fast 3D acquisition but subsequent manual navigation to find 2D diagnostic planes can be time consuming. We have developed and validated an automated machine learning-based technique to find apical 2-, 3- and 4-chamber (A2C, A3C, A4C) views that enables fast volume navigation and analysis. Methods: 3DE volumes were acquired (Philips iE33: X3-1 and X5-1 probes) from 30 healthy volunteers and 36 clinical patients with suspected valve disease and coronary heart disease. 66 end diastolic volumes were used to assess the accuracy of apical standard view finding by our method against manual plane finding. To do this, dedicated software was developed with a machine learning approach and a 3-fold cross validation of results was performed. Results: Automatic A4C view detection was possible in 60/66 (91%) of volumes; detection failures were due to suboptimal myocardium wall integrity or lack of right ventricle in the scan. A2C and A3C views were extracted from the A4C view using the known geometrical relationships between apical standard views (A2C to A3C: 30°~40° and A2C to A4C: 90° of rotation over the left ventricle long axis, as shown in the Figure). In average, our method accurately found the heart apex and mitral valve centre with a 7.1 ± 5.7 mm and 7.2 ± 5.3 mm error, respectively. Conclusions: In order to automate clinical workflow, we have developed a new and fully automatic machine learning strategy for apical standard view finding which performed well (91% detection accuracy) on volunteer and clinical 3D echocardiograms.
Figure - Published
- 2014
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4. Poster session 5: Friday 5 December 2014, 14:00-18:00 * Location: Poster area
- Author
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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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- 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
- Full Text
- View/download PDF
5. [Metabolic, inflammatory and imaging biomarkers in evaluation of coronary atherosclerosis severity in patients with coronary artery disease and diabetes mellitus type 2].
- Author
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Koshelskaya OA, Kharitonova OA, Kologrivova IV, Suslova TE, Margolis NY, Tereshenkova EK, Rybina AN, and Karpov RS
- Subjects
- Humans, Resistin, C-Reactive Protein, Adiponectin, Pericardium diagnostic imaging, Adipose Tissue metabolism, Biomarkers, Adipokines metabolism, Insulin, Glucose metabolism, Lipids, Coronary Angiography, Coronary Artery Disease diagnostic imaging, Diabetes Mellitus, Type 2 complications, Diabetes Mellitus, Type 2 diagnosis
- Abstract
Aim: To study interconnections between epicardial adipose tissue thickness (EATt), parameters of glucose metabolism/insulin, C-reactive protein (hsCRP), serum adipokines and severity of coronary artery disease (CAD) depending on the presence of diabetes mellitus type 2 (DM 2); to determine significant markers of CAD severity in patients with DM 2., Materials and Methods: The study involved 106 patients with CAD (m/f 64/42, 60.96.8 years), including patients with DM 2 (group 1, n=35) and non-diabetic patients (group 2, n=71). Severity of CAD was evaluated according to angiography data with calculation of Gensini Score (GS). EATt was assessed via echocardiography. Serum levels of glucose/insulin metabolism parameters, lipid fractions, hsCRP and adipokines were evaluated. Clinical parameters, including GS, did not differ between groups., Results: EAT thickness median was elevated in gr.1 (5.1 mm vs. 4.4 mm in group 2), while adiponectin levels were decreased (6.55 g/ml vs. 7.71 g/ml). Linear regression of body mass index and resistin levels on EATt was revealed in gr.1; in gr.2 EATt linearly increased with waist circumference increment when EATt6 mm. Linear regression of EATt on GS was revealed in gr.1 when EATt8 mm, while linear regression in the whole GS range was obtained for HDL-C and hsCRP levels., Conclusion: Study results demonstrate differences in mechanisms of deposition and functioning of epicardial and abdominal adipose tissue depending on the presence or absence of diabetic status. Patients with DM2 are characterized by the excessive EAT deposition and decrease of serum adiponectin levels compared to non-diabetic patients in the equal conditions. Independent markers of CAD severity in DM 2 are decreased HDL-C and increased hsCRP levels, but not EATt.
- Published
- 2021
- Full Text
- View/download PDF
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