48 results on '"Celeng C"'
Search Results
2. Oral Abstract session: Multimodality imaging: Friday 5 December 2014, 11: 00–12: 30Location: Agora
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Bartykowszki, A, Drobni, ZD, Panajotu, A, Celeng, C, Suhai, F, Jermendy, AL, Csobay-Novak, C, Merkely, B, and Maurovich-Horvat, P
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- 2014
3. Poster session 2: Thursday 4 December 2014, 08: 30–12: 30Location: Poster area
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Maurovich-Horvat, P, Horvath, T, Jermendy, A, Celeng, C, Panajotu, A, Bartykowszki, A, Karolyi, M, Tarnoki, AD, Jermendy, G, and Merkely, B
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- 2014
4. Poster session Friday 13 December - PM: 13/12/2013, 14: 00–18: 00Location: Poster area
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Kovacs, A, Kosztin, A, Solymossy, K, Celeng, C, Apor, A, Faludi, M, Berta, K, Szeplaki, G, Foldes, G, and Merkely, B
- Published
- 2013
5. 5 Real world experience of a novel on-site coronary ct derived fractional flow reserve algorithm for the assessment of intermediate stenoses
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Donnelly, P, primary, Orr, C, additional, Kolossvary, M, additional, Karady, J, additional, Ball, P, additional, Kelly, S, additional, Fitzsimons, D, additional, Spence, M, additional, Celeng, C, additional, Horvath, T, additional, Szilveszter, B, additional, Es, HW van, additional, Swaans, MJ, additional, McMechan, S, additional, Hamilton, A, additional, Yarr, S, additional, Foster, J, additional, Merkely, B, additional, and Maurovich-Horvat, P, additional
- Published
- 2017
- Full Text
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6. Poster session 2: Thursday 4 December 2014, 08:30-12:30Location: Poster area
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Domingos, J, Augustine, D, Leeson, P, Noble, J, Doan, HL, 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, MY, Mondillo, S, Leitman, M, Vered, Z, Rashid, H, Yalcin, MU, Gurses, KM, 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, AT, 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, B, Roh, J, Kim, H, Ihm, S, Barron, AJ, Francis, D, Mayet, J, Wensel, R, Kosiuk, J, Dinov, B, Bollmann, A, Hindricks, G, Breithardt, O, Rio, P, Moura Branco, L, Galrinho, A, Cacela, D, Pinto Teixeira, P, Afonso Nogueira, M, Pereira-Da-Silva, T, Abreu, J, Teresa Timoteo, A, Pavlyukova, E, Tereshenkova, E, Karpov, R, Piatkowski, R, Kochanowski, J, Opolski, G, Barbier, P, Mirea, O, Guglielmo, M, Savioli, G, Cefalu, C, Pudil, R, Horakova, L, Rozloznik, M, Balestra, C, Rimbas, R, Enescu, O, Calin, S, Vinereanu, D, Karsenty, C, Hascoet, S, Hadeed, K, Semet, F, Dulac, Y, Alacoque, X, Leobon, B, Acar, P, Dharma, S, Sukmawan, R, Soesanto, A, Vebiona, K, Firdaus, I, Danny, S, Driessen, MM, Sieswerda, G, Post, M, Snijder, R, Van Dijk, A, Leiner, T, Meijboom, F, 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, A, Avenatti, E, Magnino, C, Omede', P, Presutti, D, Moretti, C, Iannaccone, A, Ravera, A, Gaita, F, Milan, A, Veglio, F, Scali, M, Simioniuc, A, Fusini, L, Dini, F, Okura, H, Murata, E, Kataoka, T, Mikaelpoor, A, Ojaghi Haghighi, S, Alizadeasl, A, Sharifi-Zarchi, A, Zaroui, A, Ben Halima, M, Mourali, M, Mechmeche, R, Rodriguez Palomares, JF, Maldonado, G, Garcia, G, Otaegui, I, Garcia Del Blanco, B, Teixido, G, Gonzalez Alujas, M, Garcia Dorado, D, Godinho, AR, Correia, A, Rangel, I, Rocha, A, Rodrigues, J, Araujo, V, Almeida, P, Macedo, F, Maciel, M, 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, CW, Luo, E, Hwan, J, White, A, Newby, D, Dweck, M, Carstensen, HG, Larsen, LH, Hassager, C, Kofoed, KF, Jensen, JS, Mogelvang, R, Kowalczyk, M, Debska, M, Kolesnik, A, Dangel, J, Kawalec, W, Migliore, R, Adaniya, M, Barranco, M, Miramont, G, Gonzalez, S, Tamagusuku, H, Davidsen, ES, Kuiper, KK, Matre, K, Gerdts, E, Igual Munoz, B, Maceira Gonzalez, A, Erdociain Perales, M, Estornell Erill, J, Valera Martinez, F, Miro Palau, V, Piquer Gil, M, Sepulveda Sanchez, P, Cervera Zamora, A, Montero Argudo, A, Placido, R, Silva Marques, J, Magalhaes, A, Guimaraes, T, Nobre E Menezes, M, Goncalves, S, Ramalho, A, Robalo Martins, S, Almeida, A, Nunes Diogo, A, Abid, L, Ben Kahla, S, Charfeddine, S, Abid, D, Kammoun, S, Tounsi, A, Hammami, R, Triki, F, Akrout, M, Mallek, S, Hentati, M, Sirbu, CF, Berrebi, A, Huber, A, Folliguet, T, Yang, LT, Shih, J, Liu, Y, Li, Y, Tsai, L, Luo, C, Tsai, W, Babukov, R, Bartosh, F, Bazilev, V, Muraru, D, Cavalli, G, Addetia, K, Miglioranza, M, Veronesi, F, Mihaila, S, Tadic, M, Cucchini, U, Badano, L, Lang, R, 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, HJ, Scherzer, S, Geroldinger, A, 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, H, Kim, K, Jeon, H, Youn, H, Haland, T, Saberniak, J, Leren, I, Edvardsen, T, Haugaa, K, Ziolkowska, L, Boruc, A, Turska-Kmiec, A, Zubrzycka, M, 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, Hasselberg, N, Borgquist, R, Platonov, P, Ancona, R, Comenale Pinto, S, Caso, P, Coopola, M, Arenga, F, Rapisarda, O, D'onofrio, A, Sellitto, V, Calabro, R, Rosca, M, Popescu, B, Calin, A, Mateescu, A, Beladan, C, Jalba, M, Rusu, E, Zilisteanu, D, Ginghina, C, Pressman, G, Cepeda-Valery, B, Romero-Corral, A, Moldovan, R, Saenz, A, Orban, M, Samuel, S, Fijalkowski, M, Fijalkowska, M, Gilis-Siek, N, Blaut, K, Galaska, R, Sworczak, K, Gruchala, M, Nowak, R, Ikonomidis, I, Triantafyllidi, H, Trivilou, P, Tzortzis, S, Papadopoulos, C, Pavlidis, G, Paraskevaidis, I, Lekakis, J, Padiyath, A, Li, L, Xiao, Y, Danford, D, Kutty, S, Kaymaz, C, Aktemur, T, Poci, N, Ozturk, S, Akbal, O, Yilmaz, F, Tokgoz Demircan, H, Kirca, N, Tanboga, I, Ozdemir, N, Greiner, S, Jud, A, Aurich, M, Hess, A, Hilbel, T, Hardt, S, Katus, H, D'ascenzi, F, Alvino, F, Focardi, M, Solari, M, Bonifazi, M, Konopka, M, Krol, W, Klusiewicz, A, Burkhard, K, Chwalbinska, J, Pokrywka, A, Dluzniewski, M, Braksator, W, King, GJ, Coen, K, Gannon, S, Fahy, N, Kindler, H, Clarke, J, Iliuta, L, Rac-Albu, M, Cortez-Dias, N, Francisco, A, Silva, G, Kyu, K, Kong, W, Songco, G, Galupo, M, Castro, M, Shin Hnin, W, Ronald Lee, C, Poh, K, Milazzo, V, Di Stefano, C, Tosello, F, Leone, D, Sabia, L, Sobrero, G, Maule, S, Jamiel, AM, Ahmed, AM, Farah, I, Al-Mallah, MH, Petroni, R, Magnano, R, Bencivenga, S, Di Mauro, M, Petroni, S, Altorio, S, Romano, S, Penco, M, Kumor, M, Lipczynska, M, Klisiewicz, A, Wojcik, A, Konka, M, Kozuch, K, Szymanski, P, Hoffman, P, Rimbas, M, Reynaud, A, Lund, L, Persson, H, Hage, C, Oger, E, Linde, C, Daubert, J, Maria Oliveira Lima, M, Costa, H, Gomes Da Silva, M, Noman Alencar, M, Carmo Pereira Nunes, M, Costa Rocha, M, Siala, A, 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, K, Ntounousi, E, Gkirdis, I, Koutlas, V, Bechlioulis, A, Pappas, K, Katsouras, C, Siamopoulos, K, Michalis, L, Evangelou, D, Kalaitzidis, R, Tzeltzes, G, Nakas, G, Generati, G, Bandera, F, Pellegrino, M, Labate, V, Alfonzetti, E, Guazzi, M, Zagatina, A, Zhuravskaya, N, Al-Mallah, M, Alsaileek, A, Qureshi, W, Peyre, M, Amadieu, R, 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, M, Boerman, S, Vorselaars, V, Grutters, J, Gopal, AS, Saha, S, Toole, R, Kiotsekoglou, A, Cao, J, Reichek, N, Meyer, CG, 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, SC, Iniesta Manjavacas, AM, De Torres Alba, F, Dominguez Melcon, F, Pena Conde, L, Moreno Yanguela, M, Lopez-Sendon, JL, Lengyel, C, Orosz, A, Varkonyi, T, Rendon, J, Saldarriaga, CI, Duarte, N, Foldeak, D, Borbenyi, Z, Hamdy, A, Fereig, H, Nabih, M, Abdel-Aziz, A, Ali, A, Broyd, C, Wielandts, JY, 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, A, Jermendy, G, and Merkely, B
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medicine.medical_specialty ,biology ,Early Repolarization Pattern ,business.industry ,Athletes ,Physical therapy ,medicine ,Radiology, Nuclear Medicine and imaging ,General Medicine ,Cardiology and Cardiovascular Medicine ,business ,biology.organism_classification - Published
- 2014
7. Moderated Posters session: complementary role of imaging techniquesP184Submillisievert computed tomography with model-based iterative reconstruction before pulmonary veins radiofrequency catheter ablation of atrial fibrillation: impact on radiation exposure and outcomeP185Calcium score and CT coronary angiography can be a low cost strategy for the investigation of patients with chest pain with low and intermediate predicted riskP186Impact of imaging modality on the heritability estimates of aortic root geometry: a classical twin studyP187Diagnosis of cardiac allograft vasculopathy with cardiac CT. Relation between clinical variables and mid-term prognosisP188Stress-only normal SPECT myocardial perfusion imaging: is it enough?P189Global longitudinal strain and its relation to cardiac autonomic denervation as assessed by 123-mIBG scintigraphy: insights from the BETTER-HF trialP190FDG-PET imaging in suspected inflammatory cardiomyopathies : comparison with the classical pattern of cardiac sarcoidosis and impact on diagnosisP191CT coronary angiography can be an effective alternative to imaging stress tests in patients with high pre-test probability of CADP192Outcomes at long term follow up of subclinical and mild coronary artery disease diagnosed with MDCT in Mediterranean EuropeP193Cardiac ct peri-device flow after percutaneous left atrial appendage closure using the amplatzer cardiac plug device
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Pontone, G, primary, Demir, OM, primary, Celeng, C, primary, Llao-Ferrando, JI, primary, Kitsiou, A N, primary, Portugal, G, primary, Becoulet, L, primary, Marcos-Alberca Moreno, P, primary, Iriart, X, primary, Andreini, D, additional, Annoni, A, additional, Petulla, M, additional, Russo, E, additional, Innocenti, E, additional, Guglielmo, M, additional, Mushtaq, S, additional, Tondo, C, additional, Pepi, M, additional, Bashir, A, additional, Marshall, K, additional, Douglas, M, additional, Wasan, B, additional, Plein, S, additional, Alfakih, K, additional, Kolossvary, M, additional, Kovacs, A, additional, Szilveszter, B, additional, Molnar, A, additional, Horvath, T, additional, Jermendy, AL, additional, Tarnoki, AD, additional, Merkely, B, additional, Maurovich-Horvat, P, additional, Castro, JC, additional, Vilades-Medel, D, additional, Mirabet, S, additional, Pons-Llado, G, additional, Roig, E, additional, Leta, R, additional, Papanikolaou, S, additional, Griroriou, K, additional, Antonopoulos, M, additional, Mpouki, M, additional, Moustakas, G, additional, Giougi, A, additional, Giannakopoulos, V, additional, Gionakis, G, additional, Balomenos, A, additional, Abreu, A, additional, Rio, P, additional, Santos, V, additional, Martins Oliveira, M, additional, Silva Cunha, P, additional, Mota Carmo, M, additional, Branco, L M, additional, Morais, L, additional, Cruz Ferreira, R, additional, Guijarro, D, additional, Pallardy, A, additional, Mathieu, C, additional, Valette, F, additional, Gueffet, JP, additional, Serfaty, JM, additional, Kraeber-Bodere, F, additional, Trochu, JN, additional, Piriou, N, additional, Perez-Isla, L, additional, Palacios, J, additional, Gomez De Diego, JJ, additional, Islas, F, additional, De Agustin, JA, additional, Luaces, M, additional, Arrazola, J, additional, Garcia-Fernandez, MA, additional, Macaya, C, additional, Selmi, W, additional, Jalal, Z, additional, and Thambo, JB, additional
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- 2015
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8. Relationship between serum fibroblast growth factor 23 levels and left ventricular mass measured by three-dimensional echocardiography in patients with end-stage renal disease
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Kovacs, A., primary, Solymossy, K., additional, Celeng, C., additional, Apor, A., additional, Faludi, M., additional, Reti, V., additional, Studinger, P., additional, Tisler, A., additional, Berta, K., additional, and Merkely, B., additional
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- 2013
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9. 5 Real world experience of a novel on-site coronary ct derived fractional flow reserve algorithm for the assessment of intermediate stenoses
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Donnelly, P, Orr, C, Kolossvary, M, Karady, J, Ball, P, Kelly, S, Fitzsimons, D, Spence, M, Celeng, C, Horvath, T, Szilveszter, B, Es, HW van, Swaans, MJ, McMechan, S, Hamilton, A, Yarr, S, Foster, J, Merkely, B, and Maurovich-Horvat, P
- Abstract
ObjectiveFractional flow reserve derived from coronary CT angiography (FFR-CT) is a novel tool for assessing the significance of coronary artery stenosis. The primary aim of this prospective study was to evaluate the diagnostic performance of a novel on-site rapid FFR-CT algorithm as compared to invasive FFR as the gold standard in a real world workflow. Our secondary aim was to determine whether the FFR-CT diagnostic performance was affected by inter-observer variations in lumen segmentation.MethodsWe enrolled 44 consecutive patients (64.6 ±8.9 years, 34% female) with 60 coronary atherosclerotic lesions who underwent coronary computed tomography angiography (CTA) and were referred for invasive coronary angiography (ICA) in two European centres. ICA with FFR measurements were performed within 60 days after coronary CTA in all lesions. An FFR value of ≤0.8 was considered significant. Coronary CTA scans were evaluated by two expert readers, who determined the effective diameter stenosis (EDS) and manually adjusted the semi-automated coronary lumen segmentations. All extracted vessels were evaluated by an on-site FFR simulator to calculate the FFR-CT values.ResultsThe mean FFR-CT value was 0.77 ±0.15 and the average coronary CTA based EDS was 43.6±16.9%. On-site lumen segmentation, manual adjustment and FFR-CT simulations were performed in an average of 9 minutes, (range: 3–25 min). The sensitivity, specificity, positive predictive value and negative predictive value of FFR-CT vs. EDS with a cut-off of 50% were the following: 90.5%, 71.8%, 63.3% and 93.3% vs. 52.4%, 87.2%, 68.8% and 77.3%. FFR-CT demonstrated significantly better diagnostic performance as compared to EDS (AUC: 0.89 vs. 0.74 respectively; p<0.001). The FFR-CT AUCs of the two readers did not show any significant difference (0.89 vs. 0.88; p=0.74).ConclusionOn-site FFR-CT simulation is feasible and has better diagnostic performance than anatomical stenosis assessment. The diagnostic performance of the FFR-CT simulation algorithm does not depend on the readers who adjust the semi-automated lumen segmentation adjustments.
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- 2017
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10. HIT Poster session 3
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Stella, S, Rosa, I, Marini, C, Ancona, F, Spagnolo, P, Latib, A, Romano, V, Colombo, A, Margonato, A, Agricola, E, Li, H, Yuan, L, Xie, MX, Jin, XY, Stathogiannis, K, Toutouzas, K, Drakopoulou, M, Latsios, G, Synetos, A, Sanidas, E, Kaitozis, O, Trantalis, G, Gerckens, U, Tousoulis, D, Stojkovic, S, Tesic, M, Stojkovic, S, Stepanovic, J, Trifunovic, D, Beleslin, B, Giga, V, Nedeljkovic, I, Djordjevic Dikic, A, Ondrus, T, Bartunek, J, Vanderheyden, M, Stockman, B, Mirica, C, Kotrc, M, Van Praet, F, Van Camp, G, Penicka, M, Plaza Lopez, D, Igual Munoz, B, Sanchez Lacuesta, ME, Lopez Vilella, R, Domenech Tort, MD, Sepulveda Sanchis, P, Ten Morro, F, Calvillo Batlles, P, Montero Argudo, JA, Martinez Dolz, LV, Jinno, S, Yamada, A, Sugimoto, K, Ito, S, Kato, M, Inuzuka, H, Sugiyama, H, Takada, K, Ozaki, Y, Ishii, J, Verseckaite, R, Mizariene, V, Gaileviciute, K, Bieseviciene, M, Jonkaitiene, R, Jurkevicius, R, Oliveira Da Silva, C, Gunyeli, E, Winter, R, Back, M, Settergren, M, Manouras, A, Shahgaldi, K, Altin, C, Ozsoy, HM, Gezmis, E, Yilmaz, M, Tunc, E, Sade, LE, Muderrisoglu, H, Krestjyaninov, MV, Gimaev, RH, Melnikova, MA, Olezov, NV, Ruzov, VI, Izci, S, Dogan, C, Acar, R, Cetin, G, Bakal, RB, Unkun, T, Cap, M, Erdogan, E, Kaymaz, C, Ozdemir, N, Santos, M, Leite, L, Martins, R, Baptista, R, Barbosa, A, Ribeiro, N, Oliveira, A, Castro, G, Pego, M, Urbano-Moral, JA, Gutierrez-Garcia-Moreno, L, Rodriguez-Palomares, JF, Galuppo, V, Maldonado-Herrera, G, Teixido-Tura, G, Gruosso, D, Gonzalez-Alujas, T, Evangelista-Massip, A, Spartera, M, Stella, S, Rosa, I, Ancona, F, Marini, C, Latib, A, Giannini, F, Colombo, A, Margonato, A, Agricola, E, Gonzalvez-Garcia, A, Urbano-Moral, JA, Matabuena-Gomez-Limon, J, Grande-Trillo, A, Rojas-Bermudez, C, Rodriguez-Puras, MJ, Martinez-Martinez, A, Lopez-Pardo, F, Lopez-Haldon, JE, Miskowiec, D, Kupczynska, K, Kasprzak, JD, Lipiec, P, Hagrass, MUHAMMAD, Abdelrahman Sharaf El Dein, AHMED, Shawky El Serafy, AHMED, Rajan, RAJESH, Rady, M, Sveric, K, Kvakan, H, Strasser, RH, Reskovic Luksic, V, Cekovic, S, Veceric, S, Separovic Hanzevacki, J, Castaldi, B, Romanato, S, Callegari, A, Bernardinello, V, Reffo, E, Milanesi, O, Silva, T, Agapito, A, Sousa, L, Oliveira, JA, Branco, LM, Timoteo, AT, Galrinho, A, Thomas, B, Tavares, NJ, Cruz Ferreira, R, Silva, T, Agapito, A, Sousa, L, Oliveira, JA, Branco, LM, Timoteo, AT, Galrinho, A, Thomas, B, Tavares, NJ, Cruz Ferreira, R, Silva, T, Agapito, A, Sousa, L, Oliveira, JA, Soares, R, Aguiar Rosa, SA, Morais, L, Thomas, B, Tavares, NJ, Cruz Ferreira, R, Kolossvary, M, Szilveszter, B, Elzomor, H, Karolyi, M, Raaijmakers, R, Benke, K, Celeng, C, Bagyura, Z, Merkely, B, Maurovich-Horvat, P, Basuoni, A, Shaheen, S, Abdelkader, M, Rasheed, T, Miskowiec, D, Kasprzak, JD, Lipiec, P, Peovska Mitevska, I, Srbinovska, E, Pop Gorceva, D, Zdravkovska, M, Aguiar Rosa, S, Galrinho, A, Moura Branco, L, Timoteo, AT, Agapito, A, Sousa, L, Oliveira, JA, Rodrigues, I, Viveiros Monteiro, A, and Cruz Ferreira, R
- Abstract
Purpose: the assessment of aortic annular size in TAVI patients, is critical and inappropriate sizing is a main reason of paravalvular aortic regurgitation (PVR). Data on aortic annulus measures assessed by 3D-Transesophageal Echocardiography (3D-TEE) compared to Multislice Computed Tomography (MSCT), are limited and discordant. The aim was to compare aortic annulus measurements obtained by 3D-TEE with MSCT, evaluating the impact on prosthesis size selection and their ability to predict PVR ≥ mild. Materials and Methods: 53 consecutive TAVI patients (mean age 81.5 ± 5.2 years, 22 women) underwent both 3D-TEE and MSCT. The 3D volume dataset was acquired containing the LVOT, aortic annulus/valve and aortic root. 3D-echocardiographic reconstruction for measurement of the aortic annulus was performed with a dedicated software (EchoPac). This allowed for precise identification of the annular plane from orthogonal views, to accurately perform mid-systole measurements. MSCT measurements were obtained in diastole. The final valve sizing was based on MSCT measurements. Then 3D-TEE data were submitted to one TAVI operator for blinded definition of prosthesis sizing, in order to test the agreement between the two modalities. Finally, Cover Index (CI) and absolute difference (Δ) between prosthesis size and 3D-TEE and MSCT annulus measures, were assessed for estimation of PVR ≥ mild predictivity. Results: although absolute differences were small, 3D-TEE measurements were statistically significantly smaller than MDCT ones: for major (coronal) diameter a mean difference=−2.3 mm (range, −2.1 to 6.7 mm, p= 0.0001), mean perimeter difference=−3.9 mm (range, −8.0 to 15,9 mm, p=0.006) and a mean area difference=−2.8 cm2 (range, −6.6 to 12.3 cm2, p=0.05), with the exception of minor (sagittal) diameter (mean difference= 0.02 ± 3 mm, p= 0.9), with a very good correlation for minor (sagittal) diameter and area (r= 0.76 and 0.79, respectively, p=0.0001). We found a 68% of concordance between 3D-TEE and MSCT for the implanted prosthesis size. Among the 32% of discordance, 3D-TEE lead to prosthesis underestimation in most of cases. Only MSCT perimeter measurement had statistically higher predictive value for the presence of ≥ mild PVR (AUC for Δ Perimeter and CI Perimeter=0.77 and 0.72, respectively). Conclusion: 3D-TEE annulus measurements of sagittal diameter and area evaluated in mid-systole well correlate to MDCT measurements in diastole. Moreover there is a moderate concordance between the two modalities, for final prosthesis sizing. Only MSCT perimeter measurement, predict post-TAVI PVR with good accuracy.
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- 2015
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11. Moderated Posters session: complementary role of imaging techniques
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Pontone, G, Andreini, D, Annoni, A, Petulla, M, Russo, E, Innocenti, E, Guglielmo, M, Mushtaq, S, Tondo, C, Pepi, M, Demir, OM, Bashir, A, Marshall, K, Douglas, M, Wasan, B, Plein, S, Alfakih, K, Celeng, C, Kolossvary, M, Kovacs, A, Szilveszter, B, Molnar, A, Horvath, T, Jermendy, AL, Tarnoki, AD, Merkely, B, Maurovich-Horvat, P, Llao-Ferrando, JI, Castro, JC, Vilades-Medel, D, Mirabet, S, Pons-Llado, G, Roig, E, Leta, R, Kitsiou, A N, Papanikolaou, S, Griroriou, K, Antonopoulos, M, Mpouki, M, Moustakas, G, Giougi, A, Giannakopoulos, V, Gionakis, G, Balomenos, A, Portugal, G, Abreu, A, Rio, P, Santos, V, Martins Oliveira, M, Silva Cunha, P, Mota Carmo, M, Branco, L M, Morais, L, Cruz Ferreira, R, Becoulet, L, Guijarro, D, Pallardy, A, Mathieu, C, Valette, F, Gueffet, JP, Serfaty, JM, Kraeber-Bodere, F, Trochu, JN, Piriou, N, Demir, OM, Bashir, A, Marshall, K, Wasan, B, Plein, S, Alfakih, K, Marcos-Alberca Moreno, P, Perez-Isla, L, Palacios, J, Gomez De Diego, JJ, Islas, F, De Agustin, JA, Luaces, M, Arrazola, J, Garcia-Fernandez, MA, Macaya, C, Iriart, X, Selmi, W, Jalal, Z, and Thambo, JB
- Abstract
Background: The outcome of radiofrequency catheter ablation (RFCA) of atrial fibrillation (AF) has improved thanks to left atrium (LA) anatomy reconstruction by computed tomography with adaptive statistical iterative reconstruction algorithm (CT-ASIR) before the procedure. However, CT-ASIR strategy is associated to an increase of cumulative effective radiation dose (ED) in these patients. Recently, a model-based iterative reconstruction algorithm (MBIR, GE Healthcare, Waukesha,Wisconsin) has been developed (CT-MBIR) for image noise reduction reducing the ED close to chest X-ray exposure. The aim of this study is to compare the CT and RFCA characteristics, AF recurrence after procedure and radiation exposure between RFCA guided by image integration with CT-ASIR versus CT-MBIR Methods and Materials: One-hundred twenty consecutive patients with drug-refractory paroxysmal or persistent AF were addressed to CT-ASIR (Group 1; N: 60; mean age 60.3 ± 10.1 yo; male: 46) or CT-MBIR protocol (Group 2; N: 60; mean age 59.7 ± 11.3 yo; male:45) for evaluation of LA before RFCA. All patients were subsequently treated by image integration-supported RFCA. Image noise, signal to noise ratio (SNR), contrast to noise ratio (CNR), RFCA procedural characteristics, rate of AF recurrence and CT radiation exposure were measured and compared between the two groups. Results: The two groups were homogeneous in terms of demographic characteristics, cardiovascular risk factors, prevalence of persistent AF, medical therapy and echocardiographic characteristics. The mean follow-up was similar (578 ± 284 vs. 591 ± 278 days, respectively, p:ns). Group 2 showed a higher signal to noise ratio (25.9 ± 7.1 vs. 13.8 ± 5.1) and contrast to noise ratio (22.7 ± 6.5 vs. and 14.08 ± 4.1) of left atrium as compared to Group 1 (p<0.001). No differences were found in terms of RFCA parameter [procedural duration (130.9 ± 130.6. vs. 143.8 ± 80.4 min); fluoroscopy time (27.9 ± 14.1.0 vs. 32.0 ± 16.4 min); pulmonary veins isolated (3.8 ± 0.4 vs. 3.9 ± 0.4)] and the rate of AF recurrence (31% vs. 29%) between Group 2 vs Group 1. Group 2 showed a 94% reduction of ED as compared to Group 1 (0.4 ± 0.04 mSv vs 6.4 ± 1.8 mSv, p<0.01). Conclusions: CT-MBIR allows accurate non-invasive reconstruction of LA anatomy in AF patients undergoing to RFCA with a submillisievert effective radiation and comparable success rate of RFCA with CT-ASIR technique.
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- 2015
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12. Poster session 2: Thursday 4 December 2014, 08:30-12:30 * Location: Poster area
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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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13. Poster session 5: Friday 5 December 2014, 14:00-18:00 * Location: Poster area
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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, Isekame, Y, Iijima, R, Hara, H, Nakamura, M, Sugi, K, Melnikova, MA, Krestjyaninov, MV, Ruzov, VI, Magnino, C, Omede', P, Avenatti, E, Presutti, D, Moretti, C, Ravera, A, Sabia, L, Gaita, F, Veglio, F, Milan, A, Magda, SL, Mincu, RI, Soare, A, Mihai, CM, Florescu, M, Mihalcea, D, Cinteza, M, Vinereanu, D, POSDRU/159/1.5/S/141531, Grant, 112/2011, grant CNCSIS, Chatzistamatiou, E, Mpampatseva Vagena, I, Manakos, K, Moustakas, G, Konstantinidis, D, Memo, G, Mitsakis, O, Kasakogias, A, Syros, P, Kallikazaros, I, Petroni, R, Acitelli, A, Cicconetti, M, Di Mauro, M, Altorio, SF, Romano, S, Petroni, A, Penco, M, Apostolovic, S, Stanojevic, D, Jankovic-Tomasevic, R, Salinger-Martinovic, S, Pavlovic, M, Djordjevic-Radojkovic, D, Tahirovic, E, Dungen, HD, ELD, CIBIS, Jung, I H, Byun, Y S, Goh, C W, Kim, B O, Rhee, K J, Lee, D S, Kim, M J, Seo, H S, Kim, H Y, Tsverava, M, Tsverava, D, Zaletova, T, Shamsheva, D, Parkhomenko, O, Bogdanov, A, Derbeneva, S, Leotescu, A, Tudor, I, Gurghean, A, Bruckner, I, Plaskota, KJ, Trojnarska, O, Bartczak, A, Grajek, S, Sharma, P, Sharma, D, Garg, S, Vazquez Lopez-Ibor, J, Monivas Palomero, V, Solano-Lopez, JM, Zegri Reiriz, I, Dominguez Rodriguez, F, Gonzalez Mirelis, J, Mingo Santos, S, Sayago, I, Garcia Pavia, P, Segovia Cubero, J, Konecny, T, Noseworthy, P, Kapa, S, Cooper, LT, Mulpuru, SK, Asirvatham, S, Florescu, M, Mihalcea, D, Magda, S, Radu, E, Chirca, A, Acasandrei, AM, Jinga, D, Mincu, R, Enescu, OA, Vinereanu, D, 112/2011, no., PN-II-ID-PCE-2011-3-0791, Saura Espin, D, Caballero Jimenez, L, Oliva Sandoval, MJ, Gonzalez Carrillo, J, Garcia Navarro, M, Espinosa Garcia, MD, Valdes Chavarri, M, De La Morena Valenzuela, G, Abul Fadl, AAM, Mourad, MM, team, Primary care Echocardiography, Campanale, C M, Di Maria, S, Mega, S, Nusca, A, Marullo, F, Di Sciascio, G, Pardo Gonzalez, L, Delgado, M, Ruiz, M, Rodriguez, S, Hidalgo, F, Ortega, R, Mesa, D, Suarez De Lezo Cruz Conde, J, Bengrid, T M, Zhao, Y, Henein, MY, Kenjaev, S, Alavi, 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
- Full Text
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14. Oral Abstract session: Multimodality imaging: Friday 5 December 2014, 11:00-12:30 * Location: Agora
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Szilveszter, B, Major, GP, Horvath, T, Kovacs, A, Pataki, S, Vago, H, Apor, A, Szidonya, L, Merkely, B, Maurovich-Horvat, P, Group, MTA-SE "Lendület" Cardiovascular Imaging Research, Mahmood, N, Almallah, M, Al-Mallah, M, Qureshi, W, Chattahi, J, Demir, OM, Dobson, P, Khan, J, Shaw, A, Papamichael, ND, Alfakih, K, Bartykowszki, A, Drobni, ZD, Panajotu, A, Celeng, C, Suhai, F, Jermendy, AL, Csobay-Novak, C, Merkely, B, Maurovich-Horvat, P, Group, MTA-SE "Lendület" Cardiovascular Imaging Research, Gargiulo, P, Spinelli, L, D'amore, C, Pellegrino, T, Pellegrino, A, Formisano, T, Mariniello, A, Trimarco, B, Perrone-Filardi, P, Bertella, E, Loguercio, M, Baggiano, A, Mushtaq, S, Aquaro, GD, Salerni, S, Rossi, C, Andreini, D, Masci, P, Pontone, G, Angelov, A, and Yotov, Y
- Abstract
Purpose: Transesophageal echocardiography (TEE) is the clinical gold standard technique to exclude left atrial thrombus prior to electrical- of pharmacological cardioversion of atrial fibrillation. We aimed to evaluate the diagnostic performance of cardiac computed tomography angiography (CTA) regarding the detection of left atrial thrombus compared to the gold standard TEE. Methods: In total 444 patients were referred to left atrial angiography before atrial fibrillation ablation procedure (149 women, 295 men, mean age 56y) between February 2011 and January 2014. We have investigated the patients who subsequently underwent TEE (n=201). Results: CTA excluded left atrial thrombi in 178 cases. In all negative CTA cases were confirmed by TEE (true negatives). In 23 cases CTA showed incomplete contrast filling in the left appendage: 19 false positives and 4 true positives. According to our results sensitivity of cardiac CT is 100% [95% CI: 40.2%-100%], specificity was 90.4% [95% CI: 85.4%-94.1%], negative predictive value was 100% [95% CI: 97.9%-100%] and positive predictive value was 17.4% [95% CI: 5.1%-38.8%]. Conclusion: Cardiac CT was very sensitive to diagnose left atrial thrombus, the negative predictive value proved to be 100%. In patients where cardiac CTA excludes left appendage thrombus subsequent TEE examination may be unnecessary.
- Published
- 2014
- Full Text
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15. Poster session Friday 13 December - PM: 13/12/2013, 14:00-18:00 * Location: Poster area
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Caiani, EG, Pellegrini, A, Carminati, MC, Lang, RM, Auricchio, A, Vaida, P, Obase, K, Sakakura, T, Komeda, M, Okura, H, Yoshida, K, Zeppellini, R, Noni, M, Rigo, T, Erente, G, Carasi, M, Costa, A, Ramondo, BA, Thorell, L, Akesson-Lindow, T, Shahgaldi, K, Germanakis, I, Fotaki, A, Peppes, S, Sifakis, S, Parthenakis, F, Makrigiannakis, A, Richter, U, Sveric, K, Forkmann, M, Wunderlich, C, Strasser, RH, Djikic, D, Potpara, T, Polovina, M, Marcetic, Z, Peric, V, Ostenfeld, E, Werther-Evaldsson, A, Engblom, H, Ingvarsson, A, Roijer, A, Meurling, C, Holm, J, Radegran, G, Carlsson, M, Tabuchi, H, Yamanaka, T, Katahira, Y, Tanaka, M, Kurokawa, T, Nakajima, H, Ohtsuki, S, Saijo, Y, Yambe, T, Dalto, M, Romeo, E, Argiento, P, Dandrea, A, Vanderpool, R, Correra, A, Sarubbi, B, Calabro, R, Russo, MG, Naeije, R, Saha, S K, Warsame, T A, Caelian, A G, Malicse, M, Kiotsekoglou, A, Omran, A S, Sharif, D, Sharif-Rasslan, A, Shahla, C, Khalil, A, Rosenschein, U, Erturk, M, Oner, E, Kalkan, AK, Pusuroglu, H, Ozyilmaz, S, Akgul, O, Aksu, HU, Akturk, F, Celik, O, Uslu, N, Bandera, F, Pellegrino, M, Generati, G, Donghi, V, Alfonzetti, E, Guazzi, M, Rangel, I, Goncalves, A, Sousa, C, Correia, AS, Martins, E, Silva-Cardoso, J, Macedo, F, Maciel, MJ, Lee, S, Kim, W, Yun, H, Jung, L, Kim, E, Ko, J, Enescu, OA, Florescu, M, Rimbas, RC, Cinteza, M, Vinereanu, D, Kosmala, W, Rojek, A, Cielecka-Prynda, M, Laczmanski, L, Mysiak, A, Przewlocka-Kosmala, M, Liu, D, Hu, K, Niemann, M, Herrmann, S, Cikes, M, Gaudron, PD, Knop, S, Ertl, G, Bijnens, B, Weidemann, F, Saravi, M, Tamadoni, AHMAD, Jalalian, ROZITA, Hojati, MOSTAF, Ramezani, SAEED, Yildiz, A, Inci, U, Bilik, MZ, Yuksel, M, Oyumlu, M, Kayan, F, Ozaydogdu, N, Aydin, M, Akil, MA, Tekbas, E, Shang, Q, Zhang, Q, Fang, F, Wang, S, Li, R, Lee, A PW, Yu, CM, Mornos, C, Ionac, A, Cozma, D, Popescu, I, Ionescu, G, Dan, R, Petrescu, L, Sawant, AC, Srivatsa, SV, Adhikari, P, Mills, PK, Srivatsa, SS, Boshchenko, A, Vrublevsky, A, Karpov, R, Trifunovic, D, Stankovic, S, Vujisic-Tesic, B, Petrovic, M, Nedeljkovic, I, Banovic, M, Tesic, M, Petrovic, M, Dragovic, M, Ostojic, M, Zencirci, E, Esen Zencirci, A, Degirmencioglu, A, Karakus, G, Ekmekci, A, Erdem, A, Ozden, K, Erer, HB, Akyol, A, Eren, M, Zamfir, D, Tautu, O, Onciul, S, Marinescu, C, Onut, R, Comanescu, I, Oprescu, N, Iancovici, S, Dorobantu, M, Melao, F, Pereira, M, Ribeiro, V, Oliveira, S, Araujo, C, Subirana, I, Marrugat, J, Dias, P, Azevedo, A, study, EURHOBOP, Grillo, M T, Piamonti, B, Abate, E, Porto, A, Dellangela, L, Gatti, G, Poletti, A, Pappalardo, A, Sinagra, G, Pinto-Teixeira, P, Galrinho, A, Branco, L, Fiarresga, A, Sousa, L, Cacela, D, Portugal, G, Rio, P, Abreu, J, Ferreira, R, Fadel, B, Abdullah, N, Al-Admawi, M, Pergola, V, Bech-Hanssen, O, Di Salvo, G, Tigen, M K, Pala, S, Karaahmet, T, Dundar, C, Bulut, M, Izgi, A, Esen, A M, Kirma, C, Boerlage-Van Dijk, K, Yamawaki, M, Wiegerinck, EMA, Meregalli, PG, Bindraban, NR, Vis, MM, Koch, KT, Piek, JJ, Bouma, BJ, Baan, J, Mizia, M, Sikora-Puz, A, Gieszczyk-Strozik, K, Lasota, B, Chmiel, A, Chudek, J, Jasinski, M, Deja, M, Mizia-Stec, K, Silva Fazendas Adame, P R, Caldeira, D, Stuart, B, Almeida, S, Cruz, I, Ferreira, A, Lopes, L, Joao, I, Cotrim, C, Pereira, H, Unger, P, Dedobbeleer, C, Stoupel, E, Preumont, N, Argacha, JF, Berkenboom, G, Van Camp, G, Malev, E, Reeva, S, Vasina, L, Pshepiy, A, Korshunova, A, Timofeev, E, Zemtsovsky, E, Jorgensen, P G, Jensen, JS, Fritz-Hansen, T, Biering-Sorensen, T, Jons, C, Olsen, NT, Henri, C, Magne, J, Dulgheru, R, Laaraibi, S, Voilliot, D, Kou, S, Pierard, L, Lancellotti, P, Tayyareci, Y, Dworakowski, R, Kogoj, P, Reiken, J, Kenny, C, Maccarthy, P, Wendler, O, Monaghan, MJ, Song, JM, Ha, TY, Jung, YJ, Seo, MO, Choi, SA, Kim, YJ, Sun, BJ, Kim, DH, Kang, DH, Song, JK, Le Tourneau, T, Topilsky, Y, Inamo, J, Mahoney, D, Suri, R, Schaff, H, Enriquez-Sarano, M, Bonaque Gonzalez, JC, Sanchez Espino, AD, Merchan Ortega, G, Bolivar Herrera, N, Ikuta, I, Macancela Quinonez, JJ, Munoz Troyano, S, Ferrer Lopez, R, Gomez Recio, M, Dreyfus, J, Cimadevilla, C, Brochet, E, Himbert, D, Iung, B, Vahanian, A, Messika-Zeitoun, D, Izumo, M, Takeuchi, M, Seo, Y, Yamashita, E, Suzuki, K, Ishizu, T, Sato, K, Aonuma, K, Otsuji, Y, Akashi, YJ, Muraru, D, Addetia, K, Veronesi, F, Corsi, C, Mor-Avi, V, Yamat, M, Weinert, L, Lang, RM, Badano, LP, Minamisawa, M, Koyama, J, Kozuka, A, Motoki, H, Izawa, A, Tomita, T, Miyashita, Y, Ikeda, U, Florescu, C, Niemann, M, Liu, D, Hu, K, Herrmann, S, Gaudron, PD, Scholz, F, Stoerk, S, Ertl, G, Weidemann, F, Marchel, M, Serafin, A, Kochanowski, J, Piatkowski, R, Madej-Pilarczyk, A, Filipiak, KJ, Hausmanowa-Petrusewicz, I, Opolski, G, Meimoun, P, Mbarek, D, Clerc, J, Neikova, A, Elmkies, F, Tzvetkov, B, Luycx-Bore, A, Cardoso, C, Zemir, H, Mansencal, N, Arslan, M, El Mahmoud, R, Pilliere, R, Dubourg, O, Ikonomidis, I, Lambadiari, V, Pavlidis, G, Koukoulis, C, Kousathana, F, Varoudi, M, Tritakis, V, Triantafyllidi, H, Dimitriadis, G, Lekakis, I, Kovacs, A, Kosztin, A, Solymossy, K, Celeng, C, Apor, A, Faludi, M, Berta, K, Szeplaki, G, Foldes, G, Merkely, B, Kimura, K, Daimon, M, Nakajima, T, Motoyoshi, Y, Komori, T, Nakao, T, Kawata, T, Uno, K, Takenaka, K, Komuro, I, Gabric, I D, Vazdar, LJ, Pintaric, H, Planinc, D, Vinter, O, Trbusic, M, Bulj, N, Nobre Menezes, M, Silva Marques, J, Magalhaes, R, Carvalho, V, Costa, P, Brito, D, Almeida, AG, Nunes-Diogo, AG, Davidsen, E S, Bergerot, C, Ernande, L, Barthelet, M, Thivolet, S, Decker-Bellaton, A, Altman, M, Thibault, H, Moulin, P, Derumeaux, G, Huttin, O, Voilliot, D, Frikha, Z, Aliot, E, Venner, C, Juilliere, Y, Selton-Suty, C, Yamada, T, Ooshima, M, Hayashi, H, Okabe, S, Johno, H, Murata, H, Charalampopoulos, A, Tzoulaki, I, Howard, LS, Davies, RJ, Gin-Sing, W, Grapsa, J, Wilkins, MR, Gibbs, JSR, Castillo, JMDC, Bandeira, AMPB, Albuquerque, ESA, Silveira, C, Pyankov, V, Chuyasova, Y, Lichodziejewska, B, Goliszek, S, Kurnicka, K, Dzikowska Diduch, O, Kostrubiec, M, Krupa, M, Grudzka, K, Ciurzynski, M, Palczewski, P, Pruszczyk, P, Arana, X, Oria, G, Onaindia, JJ, Rodriguez, I, Velasco, S, Cacicedo, A, Palomar, S, Subinas, A, Zumalde, J, Laraudogoitia, E, Saeed, S, Kokorina, MV, Fromm, A, Oeygarden, H, Waje-Andreassen, U, Gerdts, E, Gomez, ELENA, Vallejo, NURIA, Pedro-Botet, LUISA, Mateu, LOURDE, Nunyez, RAQUEL, Llobera, LAIA, Bayes, ANTONI, Sabria, MIQUEL, Antonini-Canterin, F, Mateescu, AD, La Carrubba, S, Vriz, O, Di Bello, V, Carerj, S, Zito, C, Ginghina, C, Popescu, BA, Nicolosi, GL, Mateescu, AD, La Carrubba, S, Vriz, O, Di Bello, V, Carerj, S, Zito, C, Ginghina, C, Popescu, BA, Nicolosi, GL, Antonini-Canterin, F, Pudil, R, Praus, R, Vasatova, M, Vojacek, J, Palicka, V, Hulek, P, P37/03, Prvouk, Pradel, S, Mohty, D, Damy, T, Echahidi, N, Lavergne, D, Virot, P, Aboyans, V, Jaccard, A, Mateescu, AD, La Carrubba, S, Vriz, O, Di Bello, V, Carerj, S, Zito, C, Ginghina, C, Popescu, BA, Nicolosi, GL, Antonini-Canterin, F, Doulaptsis, C, Symons, R, Matos, A, Florian, A, Masci, PG, Dymarkowski, S, Janssens, S, Bogaert, J, Lestuzzi, C, Moreo, A, Celik, S, Lafaras, C, Dequanter, D, Tomkowski, W, De Biasio, M, Cervesato, E, Massa, L, Imazio, M, Watanabe, N, Kijima, Y, Akagi, T, Toh, N, Oe, H, Nakagawa, K, Tanabe, Y, Ikeda, M, Okada, K, Ito, H, Milanesi, O, Biffanti, R, Varotto, E, Cerutti, A, Reffo, E, Castaldi, B, Maschietto, N, Vida, VL, Padalino, M, Stellin, G, Bejiqi, R, Retkoceri, R, Bejiqi, H, Retkoceri, A, Surdulli, SH, Massoure, PL, Cautela, J, Roche, NC, Chenilleau, MC, Gil, JM, Fourcade, L, Akhundova, A, Cincin, A, Sunbul, M, Sari, I, Tigen, MK, Basaran, Y, Suermeci, G, Butz, T, Schilling, IC, Sasko, B, Liebeton, J, Van Bracht, M, Tzikas, S, Prull, MW, Wennemann, R, Trappe, HJ, Attenhofer Jost, C H, Pfyffer, M, Scharf, C, Seifert, B, Faeh-Gunz, A, Naegeli, B, Candinas, R, Medeiros-Domingo, A, Wierzbowska-Drabik, K, Roszczyk, N, Sobczak, M, Plewka, M, Krecki, R, Kasprzak, JD, Ikonomidis, I, Varoudi, M, Papadavid, E, Theodoropoulos, K, Papadakis, I, Pavlidis, G, Triantafyllidi, H, Anastasiou - Nana, M, Rigopoulos, D, Lekakis, J, Tereshina, O, Surkova, E, Vachev, A, Merchan Ortega, G, Bonaque Gonzalez, JC, Sanchez Espino, AD, Bolivar Herrera, N, Bravo Bustos, D, Ikuta, I, Aguado Martin, MJ, Navarro Garcia, F, Ruiz Lopez, F, Gomez Recio, M, Merchan Ortega, G, Bonaque Gonzalez, JC, Bravo Bustos, D, Sanchez Espino, AD, Bolivar Herrera, N, Bonaque Gonzalez, JJ, Navarro Garcia, F, Aguado Martin, MJ, Ruiz Lopez, MF, Gomez Recio, M, Eguchi, H, Maruo, T, Endo, K, Nakamura, K, Yokota, K, Fuku, Y, Yamamoto, H, Komiya, T, Kadota, K, Mitsudo, K, Nagy, A I, Manouras, AI, Gunyeli, E, Shahgaldi, K, Winter, R, Hoffmann, R, Barletta, G, Von Bardeleben, S, Kasprzak, J, Greis, C, Vanoverschelde, J, Becher, H, Hu, K, Liu, D, Niemann, M, Herrmann, S, Cikes, M, Gaudron, PD, Knop, S, Ertl, G, Bijnens, B, Weidemann, F, Di Salvo, G, Al Bulbul, Z, Issa, Z, Khan, AM, Faiz, AA, Rahmatullah, SH, Fadel, BM, Siblini, G, Al Fayyadh, M, Menting, M E, Van Den Bosch, AE, Mcghie, JS, Cuypers, JAAE, Witsenburg, M, Van Dalen, BM, Geleijnse, ML, Roos-Hesselink, JW, Olsen, FJ, Jorgensen, PG, Mogelvang, R, Jensen, JS, Fritz-Hansen, T, Bech, J, Biering-Sorensen, T, Agoston, G, Pap, R, Saghy, L, Forster, T, Varga, A, Scandura, S, Capodanno, D, Dipasqua, F, Mangiafico, S, Caggegi, A M, Grasso, C, Pistritto, A M, Imme, S, Ministeri, M, Tamburino, C, Cameli, M, Lisi, M, Dascenzi, F, Cameli, P, Losito, M, Sparla, S, Lunghetti, S, Favilli, R, Fineschi, M, Mondillo, S, Ojaghihaghighi, Z, Javani, B, Haghjoo, M, Moladoust, H, Shahrzad, S, Ghadrdoust, B, Altman, M, Aussoleil, A, Bergerot, C, Bonnefoy-Cudraz, E, Derumeaux, G A, Thibault, H, Shkolnik, E, Vasyuk, Y, Nesvetov, V, Shkolnik, L, Varlan, G, Gronkova, N, Kinova, E, Borizanova, A, Goudev, A, Saracoglu, E, Ural, D, Sahin, T, Al, N, Cakmak, H, Akbulut, T, Akay, K, Ural, E, Mushtaq, S, Andreini, D, Pontone, G, Bertella, E, Conte, E, Baggiano, A, Annoni, A, Formenti, A, Fiorentini, C, Pepi, M, Cosgrove, C, Carr, L, Chao, C, Dahiya, A, Prasad, S, Younger, JF, Biering-Sorensen, T, Christensen, LM, Krieger, DW, Mogelvang, R, Jensen, JS, Hojberg, S, Host, N, Karlsen, FM, Christensen, H, Medressova, A, Abikeyeva, L, Dzhetybayeva, S, Andossova, S, Kuatbayev, Y, Bekbossynova, M, Bekbossynov, S, Pya, Y, Farsalinos, K, Tsiapras, D, Kyrzopoulos, S, Spyrou, A, Stefopoulos, C, Romagna, G, Tsimopoulou, K, Tsakalou, M, Voudris, V, Cacicedo, A, Velasco Del Castillo, S, Anton Ladislao, A, Aguirre Larracoechea, U, Onaindia Gandarias, J, Romero Pereiro, A, Arana Achaga, X, Zugazabeitia Irazabal, G, Laraudogoitia Zaldumbide, E, Lekuona Goya, I, Varela, A, Kotsovilis, S, Salagianni, M, Andreakos, V, Davos, CH, Merchan Ortega, G, Bonaque Gonzalez, JC, Sanchez Espino, AD, Bolivar Herrera, N, Macancela Quinones, JJ, Ikuta, I, Ferrer Lopez, R, Munoz Troyano, S, Bravo Bustos, D, and Gomez Recio, M
- Abstract
Purpose: Cardiac deconditioning due to immobilization is a risk factor for cardiovascular disease. The physiology of cardiac adaptation to deconditioning has not been fully elucidated. The purpose of the present study was to assess the effects of 21-days of strict head-down (-6 degrees) bed-rest (BR) deconditioning on left ventricular (LV) dimensions and mass measured by MRI. Methods: Ten healthy men (mean age 32±6) were enrolled; the experiment was conducted at DLR (Koln, Germany) as part of the European Space Agency BR studies. Steady-state free precession MRI images (7mm thickness, no gap, no overlap) were obtained (Symphony 1.5T, Siemens) in a stack of short-axis views from LV base to LV apex, before (PRE), at the end of BR (HDT20), and four days after the BR conclusion (POST). Endocardial and epicardial semi-automated contouring was performed using freely available software (Segment). Results: At HDT20, significant reductions in LV mass (16%), end-diastolic (26%) and end-systolic (27%) volumes and stroke volume (27%) were observed, while ejection fraction did not change. These changes were accompanied by a measured decrease (14%) in plasma and blood volume (by gas-rebreathing technique), as well as by a significant reduction (14%) in VO2max aerobic power, measured using a graded cycle ergometer test protocol to volitional fatigue, at one day after the BR conclusion, while expiratory exchange ratio did not change. At POST, LV volumes were restored, while LV mass was still trending towards control values. Conclusions: Cardiac adaptation to deconditioning affected LV mass and dimensions, as a combined result of LV remodeling and fluids loss, accompanied by worsening in aerobic power. This should be taken into account in patients with cardiovascular diseases, when immobilized in bed, to proper adjust the therapy, or to define appropriate physical exercises when possible, in order to avoid further complications.
Cardiac MRI parameters PRE HDT20 POST LV mass (g) 121±6 102±11* 114±16 End-diastolic volume (ml) 119±25 90±14* 118±25 End-systolic volume (ml) 42±8 31±8* 45±14 Stroke volume (ml) 76±22 59±11* 73±15 Ejection fraction (%) 64±6 65±7 62±7 *: p<.01 vs PRE (one-way Anova for paired data and Tukey test) - Published
- 2013
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16. Moving towards a uniform diagnosis of coronary artery disease on coronary CTA : Coronary Artery Disease-Reporting and Data System 2.0.
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Celeng C and Takx RAP
- Abstract
The Coronary Artery Disease-Reporting and Data System (CAD-RADS) is a standardised reporting method which was created in order to improve communication with referring physicians as well as for management considerations. The CAD-RADS score denotes the absence or presence of stenosis, while plaque burden and potential modifiers provide insight into plaque extent and characteristics. The modifier ischaemia enables the incorporation of fractional flow reserve CT and CT perfusion, while the modifier exception is used to denote potential coronary abnormalities. Higher CAD-RADS categories demonstrate incremental prognostic value, with further improvement when taking plaque burden into account. CAD-RADS improves communication with the referring clinician as well as guiding therapeutic management and as such is relevant to uniform patient care in the Netherlands., (© 2024. The Author(s).)
- Published
- 2024
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17. Cancer-associated marantic endocarditis: a rare but relevant complication.
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Celeng C and Takx RAP
- Subjects
- Humans, Cohort Studies, Multimodal Imaging, Endocarditis, Non-Infective complications, Endocarditis, Non-Infective diagnostic imaging, Neoplasms, Endocarditis complications, Endocarditis diagnostic imaging
- Abstract
Competing Interests: Conflicts of interest: None declared.
- Published
- 2023
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18. Central arterial pressure and patient-specific model parameter estimation based on radial pressure measurements.
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Gyürki D, Horváth T, Till S, Egri A, Celeng C, Paál G, Merkely B, Maurovich-Horvat P, and Halász G
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- Humans, Arteries, Aorta physiology, Tonometry, Ocular, Blood Pressure physiology, Radial Artery physiology, Arterial Pressure physiology, Blood Pressure Determination methods
- Abstract
One-dimensional arterial flow simulations are suitable to estimate the aortic pressure from peripheral measurements in a patient-specific arterial network. This study introduces a reduction of the system parameters, and a novel calculation method to estimate the patient-specific set and the aortic curve based on radial applanation tonometry. Peripheral and aortic pressure curves were measured in patients, optimization were carried out. The aortic pressure curves were reproduced well, with an overestimation of the measured Systolic and Mean Blood Pressures on average by 0.6 and 0.5 mmHg respectively, and the Root Mean Square Difference of the curves was 3 mmHg on average.
- Published
- 2023
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19. Association of Right Ventricular Functional Parameters With Adverse Cardiopulmonary Outcomes: A Meta-analysis.
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Sayour AA, Tokodi M, Celeng C, Takx RAP, Fábián A, Lakatos BK, Friebel R, Surkova E, Merkely B, and Kovács A
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- Humans, Stroke Volume, Ventricular Function, Right, Echocardiography methods, Heart Ventricles diagnostic imaging, Echocardiography, Three-Dimensional, Ventricular Dysfunction, Right diagnostic imaging
- Abstract
Aims: We aimed to confirm that three-dimensional echocardiography-derived right ventricular ejection fraction (RVEF) is better associated with adverse cardiopulmonary outcomes than the conventional echocardiographic parameters., Methods: We performed a meta-analysis of studies reporting the impact of unit change of RVEF, tricuspid annular plane systolic excursion (TAPSE), fractional area change (FAC), and free-wall longitudinal strain (FWLS) on clinical outcomes (all-cause mortality and/or adverse cardiopulmonary outcomes). Hazard ratios (HRs) were rescaled by the within-study SDs to represent standardized changes. Within each study, we calculated the ratio of HRs related to a 1 SD reduction in RVEF versus TAPSE, or FAC, or FWLS, to quantify the association of RVEF with adverse outcomes relative to the other metrics. These ratios of HRs were pooled using random-effects models., Results: Ten independent studies were identified as suitable, including data on 1,928 patients with various cardiopulmonary conditions. Overall, a 1 SD reduction in RVEF was robustly associated with adverse outcomes (HR = 2.64 [95% CI, 2.18-3.20], P < .001; heterogeneity: I
2 = 65%, P = .002). In studies reporting HRs for RVEF and TAPSE, or RVEF and FAC, or RVEF and FWLS in the same cohort, head-to-head comparison revealed that RVEF showed significantly stronger association with adverse outcomes per SD reduction versus the other 3 parameters (vs TAPSE, HR = 1.54 [95% CI, 1.04-2.28], P = .031; vs FAC, HR = 1.45 [95% CI, 1.15-1.81], P = .001; vs FWLS, HR = 1.44 [95% CI, 1.07-1.95], P = .018)., Conclusion: Reduction in three-dimensional echocardiography-derived RVEF shows stronger association with adverse clinical outcomes than conventional right ventricular functional indices; therefore, it might further refine the risk stratification of patients with cardiopulmonary diseases., (Copyright © 2023 American Society of Echocardiography. Published by Elsevier Inc. All rights reserved.)- Published
- 2023
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20. Aortic calcification: A postmortem CT validation study in a middle-aged population.
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Vos A, Houben IB, Celeng C, Takx RAP, Isgum I, Mali WPTM, Vink A, and de Jong PA
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- Middle Aged, Humans, Tomography, X-Ray Computed adverse effects, Aorta, Thoracic diagnostic imaging, Aorta, Thoracic pathology, Aorta, Abdominal diagnostic imaging, Carotid Intima-Media Thickness, Calcinosis pathology, Aortic Diseases diagnostic imaging, Vascular Calcification diagnostic imaging, Vascular Calcification pathology
- Abstract
Background: Computed tomography (CT)-detected aortic calcification is strongly associated with aortic stiffness and is an accurate predictor of cardiovascular and all-cause mortality and cognitive decline. Some previous pathologic studies have shown calcium accumulation in the medial layer of the vessel wall, while others have suggested localisation in the atherosclerotic intimal layer., Objectives: The aim of this study was to histologically validate CT findings of aortic calcification for detectability and location in the aortic wall., Methods: We acquired postmortem CT images and collected 170 aortic tissue samples from five different locations in the thoracic and abdominal aorta of 40 individuals who underwent autopsy. Microscopic slides were stained with haematoxylin and eosin and elastic van Gieson stain. Calcified lesions were characterised and calcifications were manually annotated in the intima and media. The presence and morphology of calcifications were scored on CT images., Results: The mean age of the autopsied individuals was 63 years, and 28 % died of cardiovascular disease. Calcifications were present in 74/170 (44 %) samples. Calcification was more common in the abdominal aorta than in the thoracic aorta. In all samples with calcifications, 99 % were located in the intimal layer. Only 16/170 samples had a small amount of medial arterial calcification. The histological results showed an 85 % concordance for the presence or absence of CT calcifications. There was complete inter-method agreement for annularity of calcifications in 68 % of the samples (linear weighted kappa 0.68 (95 %CI 0.60-0.77)., Conclusions: Aortic calcifications visible on CT are located in the intimal layer of the abdominal aorta wall, at least in aortas that are not aneurysmatic or dissected. The presence and annularity of these calcifications can be reliably determined by CT., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Pim A de Jong provides consultancy for Philips Healthcare and Vifor Pharma. Ivana Isgum received institutional research grants by Pie Medical Imaging, Esaote and Philips Healthcare. The remaining authors have nothing to disclose.., (Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.)
- Published
- 2023
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21. Radiography and Computed Tomography Detection of Intimal and Medial Calcifications in Leg Arteries in Comparison to Histology.
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Vos A, Vink A, Kockelkoren R, Takx RAP, Celeng C, Mali WPTM, Isgum I, Bleys RLAW, and de Jong PA
- Abstract
Calcifications are common in the tunica intima and tunica media of leg arteries. There is growing interest in medial arterial calcifications, as they may be modifiable with treatment. We aimed to investigate radiography and computed tomography (CT) for the detection and characterization of both types of arterial calcification in leg arteries in relation to histology. In a postmortem study we therefore investigated 24 popliteal and 24 tibial arteries. The reference standard was presence of arterial calcification and the dominance of intimal or medial calcification on histology. Radiographs and CT scans were scored for presence of calcification and for dominant intimal or medial pattern based on prespecified criteria (annularity, thickness, continuity). Both radiography and CT detected 87% of histologically proven calcifications but missed mild calcifications in 13%. When only the arteries with detected calcifications were included, a moderate agreement was observed on intimal/medial location of calcifications between histology and radiography (correct in 19/24 arteries (79%); Kappa 0.58) or CT (correct in 33/46 arterial segments (72%); Kappa 0.48). With both modalities there was a slight tendency to classify intimal calcifications as being located in the media and to miss media calcification. Our study demonstrates the potential and limitations of both radiography and CT to detect and classify arterial calcifications in leg arteries.
- Published
- 2022
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22. Determinants of 18 F-NaF uptake in femoral arteries in patients with type 2 diabetes mellitus.
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Takx RAP, van Asperen R, Bartstra JW, Zwakenberg SR, Wolterink JM, Celeng C, de Jong PA, and Beulens JW
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- Aged, Diabetic Angiopathies etiology, Female, Femoral Artery metabolism, Humans, Male, Middle Aged, Diabetes Mellitus, Type 2 complications, Diabetic Angiopathies diagnostic imaging, Femoral Artery diagnostic imaging, Fluorine Radioisotopes pharmacokinetics, Sodium Fluoride pharmacology
- Abstract
Background: The goal of this study was to investigate the potential determinants of
18 F-NaF uptake in femoral arteries as a marker of arterial calcification in patients with type 2 diabetes and a history of arterial disease., Methods and Results: The study consisted of participants of a randomized controlled trial to investigate the effect of vitamin K2 (NCT02839044). In this prespecified analysis, subjects with type 2 diabetes and known arterial disease underwent full body18 F-NaF PET/CT. Target-to-background ratio (TBR) was calculated by dividing the mean SUVmax from both superficial femoral arteries by the SUVmean in the superior vena cava (SVC) and calcium mass was measured on CT. The association between18 F-NaF TBR and cardiovascular risk factors was investigated using uni- and multivariate linear regression corrected for age and sex. In total, 68 patients (mean age: 69 ± 8 years; male: 52) underwent18 F-NaF PET/CT. Higher CT calcium mass, total cholesterol, and HbA1c were associated with higher18 F-NaF TBR after adjusting., Conclusion: This study shows that several modifiable cardiovascular risk factors (total cholesterol, triglycerides, HbA1c) are associated with femoral18 F-NaF tracer uptake in patients with type 2 diabetes., (© 2020. The Author(s).)- Published
- 2021
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23. Cocaine use worsens coronary atherosclerosis in HIV infected.
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Takx RAP and Celeng C
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- Coronary Angiography, Humans, Risk Factors, Cocaine, Cocaine-Related Disorders complications, Coronary Artery Disease complications, HIV Infections complications
- Published
- 2021
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24. Coronary Artery Calcification as a Marker for Coronary Artery Stenosis: Comparing Kidney Failure to the General Population.
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Jansz TT, Go MHY, Hartkamp NS, Stöger JL, Celeng C, Leiner T, de Jong PA, Visseren FJL, Verhaar MC, and van Jaarsveld BC
- Abstract
Rationale & Objective: The presence of calcified plaques in the coronary arteries is associated with cardiovascular mortality and is a hallmark of chronic kidney failure, but it is unclear whether this is associated with the same degree of coronary artery stenosis as in patients without kidney disease. We compared the relationship of coronary artery calcification (CAC) and stenosis between dialysis patients and patients without chronic kidney disease (CKD)., Study Design: Observational cohort study., Setting & Participants: 127 dialysis patients and 447 patients without CKD with cardiovascular risk factors underwent cardiac computed tomography (CT), consisting of non-contrast-enhanced CT and CT angiography. CAC score and degree of coronary artery stenosis were assessed by independent readers., Predictor: Dialysis treatment., Outcome: Association between calcification and stenosis., Analytical Approach: Logistic regression to determine the association between CAC score and the presence of stenosis in a matched cohort and, in the full cohort, testing for the interaction of dialysis status with this relationship., Results: 112 patients were matched from each cohort, totaling 224 patients, using propensity scores for dialysis, balancing numerous cardiovascular risk factors. Median CAC score was 210 (IQR, 19-859) in dialysis patients and 58 (IQR, 0-254) in patients without CKD; 35% of dialysis patients and 36% of patients without CKD had coronary artery stenosis ≥ 50%. Per each 100-unit higher CAC score, the matched dialysis cohort had significantly lower ORs for stenosis than the non-CKD cohort, 0.67 (95% CI, 0.52-0.83) for stenosis ≥ 50% and 0.75 (95% CI, 0.62-0.90) for stenosis ≥ 70%., Limitations: No comparison with the gold standard fractional flow reserve., Conclusions: Dialysis patients have higher risk for coronary artery stenosis with higher CAC scores, but this risk is comparatively lower than in patients without CKD with similar CAC scores. In dialysis patients, a high CAC score can easily be found without significant stenosis. Our data enable "translation" of degree of calcification to the probability of coronary stenosis in dialysis patients., (© 2021 The Authors.)
- Published
- 2021
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25. Sodium-glucose cotransporter 2 inhibitors reduce myocardial infarct size in preclinical animal models of myocardial ischaemia-reperfusion injury: a meta-analysis.
- Author
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Sayour AA, Celeng C, Oláh A, Ruppert M, Merkely B, and Radovits T
- Subjects
- Animals, Disease Models, Animal, Myocardial Infarction metabolism, Myocardial Infarction pathology, Myocardial Reperfusion Injury metabolism, Myocardial Reperfusion Injury pathology, Myocardium metabolism, Translational Research, Biomedical, Cardiovascular Agents pharmacology, Myocardial Infarction prevention & control, Myocardial Reperfusion Injury prevention & control, Myocardium pathology, Sodium-Glucose Transporter 2 Inhibitors pharmacology
- Abstract
Aims/hypothesis: Large cardiovascular outcome trials demonstrated that the cardioprotective effects of sodium-glucose cotransporter 2 (SGLT2) inhibitors might reach beyond glucose-lowering action. In this meta-analysis, we sought to evaluate the potential infarct size-modulating effect of SGLT2 inhibitors in preclinical studies., Methods: In this preregistered meta-analysis (PROSPERO: CRD42020189124), we included placebo-controlled, interventional studies of small and large animal models of myocardial ischaemia-reperfusion injury, testing the effect of SGLT2 inhibitor treatment on myocardial infarct size (percentage of area at risk or total area). Standardised mean differences (SMDs) were calculated and pooled using random-effects method. We evaluated heterogeneity by computing Τ
2 and I2 values. Meta-regression was performed to explore prespecified subgroup differences according to experimental protocols and their contribution to heterogeneity was assessed (pseudo-R2 values)., Results: We identified ten eligible publications, reporting 16 independent controlled comparisons on a total of 224 animals. Treatment with SGLT2 inhibitor significantly reduced myocardial infarct size compared with placebo (SMD = -1.30 [95% CI -1.79, -0.81], p < 0.00001), referring to a 33% [95% CI 20%, 47%] difference. Heterogeneity was moderate (Τ2 = 0.58, I2 = 60%). SGLT2 inhibitors were only effective when administered to the intact organ system, but not to isolated hearts (p interaction <0.001, adjusted pseudo-R2 = 47%). While acute administration significantly reduced infarct size, chronic treatment was superior (p interaction <0.001, adjusted pseudo-R2 = 85%). The medications significantly reduced infarct size in both diabetic and non-diabetic animals, favouring the former (p interaction = 0.030, adjusted pseudo-R2 = 12%). Treatment was equally effective in rats and mice, as well as in a porcine model. Individual study quality scores were not related to effect estimates (p = 0.33). The overall effect estimate remained large even after adjusting for severe forms of publication bias., Conclusions/interpretation: The glucose-lowering SGLT2 inhibitors reduce myocardial infarct size in animal models independent of diabetes. Future in vivo studies should focus on clinical translation by exploring whether SGLT2 inhibitors limit infarct size in animals with relevant comorbidities, on top of loading doses of antiplatelet agents. Mechanistic studies should elucidate the potential relationship between the infarct size-lowering effect of SGLT2 inhibitors and the intact organ system.- Published
- 2021
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26. Artificial Intelligence and the Role of Radiologists.
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Celeng C and Takx RAP
- Subjects
- Humans, Machine Learning, Tomography, X-Ray Computed, Artificial Intelligence, Radiologists
- Published
- 2020
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27. The Association Between Marital Status, Coronary Computed Tomography Imaging Biomarkers, and Mortality in a Lung Cancer Screening Population.
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Celeng C, Takx RAP, Lessmann N, Maurovich-Horvat P, Leiner T, Išgum I, and de Jong PA
- Subjects
- Biomarkers, Case-Control Studies, Comorbidity, Female, Follow-Up Studies, Heart diagnostic imaging, Humans, Male, Middle Aged, Cardiovascular Diseases diagnostic imaging, Cardiovascular Diseases epidemiology, Lung Neoplasms mortality, Marital Status statistics & numerical data, Tomography, X-Ray Computed methods
- Abstract
Purpose: The purpose of this study was to elucidate the impact of being unmarried on coronary computed tomography (CT) imaging biomarkers and mortality in a lung cancer screening population., Materials and Methods: In this retrospective case-control study, 5707 subjects (3777 married; mean age: 61.9±5.1 y and 1930 unmarried; mean age: 61.9±5.3 y) underwent low-dose CT as part of the National Lung Screening Trial (NLST). The median follow-up time was 6.5 (Q1-Q3: 5.6 to 6.9) years. Being unmarried was defined as never married, widowed, separated, or divorced. Being married was defined as married or living as married. Our primary endpoint was cardiovascular disease (CVD)-related death; our secondary endpoint was all-cause mortality. Coronary CT imaging biomarkers (calcium score, density, and volume) on low-dose chest CT scan were calculated using dedicated automatic software. Weighted Cox proportional-hazards regression was performed to examine the association between marital status and death. Kaplan-Meier curves were generated to visualize subject survival., Results: Being unmarried was significantly associated with an increased risk for CVD-related death (hazard ratio [HR]: 1.58; 95% confidence interval [CI]: 1.31-1.91) and all-cause mortality (HR: 1.39; 95% CI: 1.26-1.53), which remained significant even after adjusting for traditional cardiovascular risk factors (HR CVD death: 1.75; 1.44-2.12 and HR all-cause mortality: 1.58; 95% CI: 1.43-1.74) and coronary calcium score (HR CVD death: 1.58; 95% CI: 1.31-1.91 and HR all-cause mortality: 1.40; 95% CI: 1.27-1.54)., Conclusions: Being unmarried is associated with an increased CVD-related death and all-cause mortality mainly due to cardiovascular etiology. On the basis of this, marital status might be taken into consideration when assessing individuals' health status.
- Published
- 2020
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28. Sex Differences in Coronary Artery and Thoracic Aorta Calcification and Their Association With Cardiovascular Mortality in Heavy Smokers.
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Lessmann N, de Jong PA, Celeng C, Takx RAP, Viergever MA, van Ginneken B, and Išgum I
- Subjects
- Age Factors, Aged, Aortic Diseases diagnostic imaging, Aortography, Cause of Death, Computed Tomography Angiography, Coronary Angiography, Coronary Artery Disease diagnostic imaging, Female, Humans, Male, Middle Aged, Prevalence, Retrospective Studies, Risk Assessment, Risk Factors, Sex Distribution, Sex Factors, Smoking adverse effects, Vascular Calcification diagnostic imaging, Aorta, Thoracic diagnostic imaging, Aortic Diseases mortality, Coronary Artery Disease mortality, Smokers, Smoking mortality, Vascular Calcification mortality
- Abstract
Objectives: The aim of this study was to investigate sex differences in the prevalence, extent, and association of coronary artery calcium (CAC) and thoracic aorta calcium (TAC) scores with cardiovascular mortality in a population eligible for lung screening., Background: CAC and TAC scores derived from chest computed tomography (CT) might be useful biomarkers for individualized cardiovascular disease prevention and could be especially relevant in high-risk populations such as heavy smokers. Therefore, it is important to know the prevalence of arterial calcifications in male and female heavy smokers, and if there are differences in the predictive value calcifications carry., Methods: We performed a nested case-control study with 5,718 participants of the CT arm of the NLST (National Lung Screening Trial). Prevalence and extent of CAC and TAC were resampled to the full cohort to provide unbiased estimates of the typical calcium burden of male and female heavy smokers. Weighted Cox proportional hazards regression was used to assess differences in the association of CAC and TAC scores with all-cause and cardiovascular mortality., Results: CAC was substantially more common and more severe in men (prevalence: 81% vs. 60%; median volume: 104 mm³ vs. 12 mm³). Women had CAC comparable to that of men who were 10 years younger. TAC was equally common in men and women, with a tendency to be more pronounced in women (prevalence: 92% vs. 93%; median volume: 388 mm³ vs. 404 mm³). Both types of calcification were associated with increased cardiovascular and all-cause mortality. TAC scores improved the prediction of coronary heart disease mortality over CAC in men, but not in women. In both sexes, TAC, but not CAC, was associated with cardiovascular mortality other than coronary heart disease., Conclusions: CAC develops later in women, whereas TAC develops equally in both sexes. CAC is strongly associated with coronary heart disease, whereas TAC is especially associated with extracardiac vascular mortality in either sex., (Copyright © 2019 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)
- Published
- 2019
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29. Anatomical and Functional Computed Tomography for Diagnosing Hemodynamically Significant Coronary Artery Disease: A Meta-Analysis.
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Celeng C, Leiner T, Maurovich-Horvat P, Merkely B, de Jong P, Dankbaar JW, van Es HW, Ghoshhajra BB, Hoffmann U, and Takx RAP
- Subjects
- Cardiac Catheterization, Coronary Artery Disease physiopathology, Coronary Vessels physiopathology, Humans, Predictive Value of Tests, Reproducibility of Results, Computed Tomography Angiography, Coronary Angiography methods, Coronary Artery Disease diagnostic imaging, Coronary Vessels diagnostic imaging, Fractional Flow Reserve, Myocardial, Hemodynamics
- Abstract
Objectives: This meta-analysis determined the diagnostic performance of coronary computed tomography (CT) angiography (CTA), CT myocardial perfusion (CTP), fractional flow reserve CT (FFR
CT ), the transluminal attenuation gradient (TAG), and their combined use with CTA versus FFR as a reference standard for detection of hemodynamically significant coronary artery disease (CAD)., Background: CTA provides excellent anatomic, albeit limited functional information for the evaluation of CAD. Recently, various functional CT techniques emerged to assess the hemodynamic consequences of CAD., Methods: This meta-analysis was performed in adherence to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. PubMed, EMBASE, and Web of Science were searched from inception until September 7, 2017. Bayesian random effects analysis was used to compute pooled sensitivity, specificity, and the summary receiver-operating characteristic curve of the index tests and compare them with the FFR as a reference standard. Analyses were performed on vessel and patient levels. Because CTA has excellent sensitivity, specificity was considered most relevant. Individual FFRCT values were collected., Results: Overall, 54 articles and 5,330 patients were included. At vessel level, pooled specificity of CTP (0.86; 95% confidence interval [CI]: 0.76 to 0.93), FFRCT (0.78; 95% CI: 0.72 to 0.83) and TAG (0.77; 95% CI: 0.61 to 0.89) were substantially higher than that of CTA (0.61; 95% CI: 0.54 to 0.68). The addition of FFRCT, CTP, and TAG to CTA resulted in high to excellent specificities (0.80 to 0.92). The summary receiver-operating characteristic curve at vessel level yielded superior diagnostic accuracy for CTP, FFRCT , and combined CTA and CTP, compared with CTA. A subanalysis of on-site versus off-site FFRCT revealed no substantial differences between the sensitivity (0.84 vs. 0.85) and specificity (0.80 vs. 0.73) of the 2 techniques. In a second subanalysis, dynamic CTP showed higher sensitivity (0.85 vs. 0.72), but had a lower specificity (0.81 vs. 0.90) than static CTP., Conclusions: CTP and FFRCT demonstrated a substantial improvement in the identification of hemodynamically significant CAD compared with CTA; therefore, their integration to clinical workflow before revascularization is recommended., (Copyright © 2019 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)- Published
- 2019
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30. CT myocardial perfusion imaging: ready for prime time?
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Takx RAP, Celeng C, and Schoepf UJ
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- Female, Humans, Male, Myocardial Ischemia physiopathology, Computed Tomography Angiography methods, Coronary Angiography methods, Coronary Circulation physiology, Myocardial Ischemia diagnosis, Myocardial Perfusion Imaging methods, Patient Satisfaction
- Abstract
The detection of functional coronary artery stenosis with coronary CT angiography (CCTA) is suboptimal. Additional CT myocardial perfusion imaging (CT-MPI) may be helpful to identify patients with myocardial ischaemia in whom coronary revascularization therapy would be beneficial. CT-MPI adds incremental diagnostic and prognostic value over obstructive disease on CCTA. It allows for the quantitation of myocardial blood flow and calculation of coronary flow reserve and shows good correlation with
15 O-H2 O positron emission tomography and invasive fractional flow reserve. In addition, patients prefer CCTA/CT-MPI over SPECT, MRI and invasive coronary angiography. CT-MPI is ready for clinical use for detecting myocardial ischaemia caused by obstructive disease. Nevertheless, the clinical utility of CT-MPI to identify ischaemia in patients with non-obstructive/microvascular disease still has to be established., Key Points: • CT-MPI can improve the positive predictive value of CCTA for lesion-specific ischaemia. • CT-MPI adds incremental prognostic value over CCTA for major adverse cardiac events. • CT-MPI correlates with15 O-H2 O PET. • CT-MPI/CCTA shows high overall patient satisfaction.- Published
- 2018
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31. PET Molecular Targets and Near-Infrared Fluorescence Imaging of Atherosclerosis.
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Celeng C, de Keizer B, Merkely B, de Jong P, Leiner T, and Takx RAP
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- Fluorescent Dyes, Fluorodeoxyglucose F18, Humans, Indocyanine Green, Injections, Intravenous, Plaque, Atherosclerotic, Atherosclerosis diagnostic imaging, Coronary Vessels diagnostic imaging, Positron-Emission Tomography, Spectroscopy, Near-Infrared, Tomography, Optical Coherence
- Abstract
Purpose of Review: With this review, we aim to summarize the role of positron emission tomography (PET) and near-infrared fluorescence imaging (NIRF) in the detection of atherosclerosis., Recent Findings:
18 F-FDG is an established measure of increased macrophage activity. However, due to its low specificity, new radiotracers have emerged for more specific detection of vascular inflammation and other high-risk plaque features such as microcalcification and neovascularization. Novel NIRF probes are engineered to sense endothelial damage as an early sign of plaque erosion as well as oxidized low-density lipoprotein (oxLDL) as a prime target for atherosclerosis. Integrated NIRF/OCT (optical coherence tomography) catheters enable to detect stent-associated microthrombi. Novel radiotracers can improve specificity of PET for imaging atherosclerosis. Advanced NIRF probes show promise for future application in human. Intravascular NIRF might play a prominent role in the detection of stent-induced vascular injury.- Published
- 2018
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32. Experience With an On-Site Coronary Computed Tomography-Derived Fractional Flow Reserve Algorithm for the Assessment of Intermediate Coronary Stenoses.
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Donnelly PM, Kolossváry M, Karády J, Ball PA, Kelly S, Fitzsimons D, Spence MS, Celeng C, Horváth T, Szilveszter B, van Es HW, Swaans MJ, Merkely B, and Maurovich-Horvat P
- Subjects
- Aged, Coronary Angiography, Female, Humans, Male, Middle Aged, Predictive Value of Tests, Prospective Studies, ROC Curve, Reproducibility of Results, Algorithms, Coronary Stenosis diagnostic imaging, Coronary Stenosis physiopathology, Fractional Flow Reserve, Myocardial physiology, Multidetector Computed Tomography
- Abstract
Fractional flow reserve (FFR) derived from coronary computed tomography angiography (CTA) is a new technique for the diagnosis of ischemic coronary artery stenoses. The aim of this prospective study was to evaluate the diagnostic performance of a novel on-site computed tomography-based fractional flow reserve algorithm (CT-FFR) compared with invasive FFR as the gold standard, and to determine whether its diagnostic performance is affected by interobserver variations in lumen segmentation. We enrolled 44 consecutive patients (64.6 ± 8.9 years, 34% female) with 60 coronary atherosclerotic lesions who underwent coronary CTA and invasive coronary angiography in 2 centers. An FFR value ≤0.8 was considered significant. Coronary CTA scans were evaluated by 2 expert readers, who manually adjusted the semiautomated coronary lumen segmentations for effective diameter stenosis (EDS) assessment and on-site CT-FFR simulation. The mean CT-FFR value was 0.77 ± 0.15, whereas the mean EDS was 43.6 ± 16.9%. The sensitivity, specificity, positive predictive value, and negative predictive value of CT-FFR versus EDS with a cutoff of 50% were the following: 91%, 72%, 63%, and 93% versus 52%, 87%, 69%, and 77%, respectively. The on-site CT-FFR demonstrated significantly better diagnostic performance compared with EDS (area under the curve 0.89 vs 0.74, respectively, p <0.001). The CT-FFR areas under the curve of the 2 readers did not show any significant difference (0.89 vs 0.88, p = 0.74). In conclusion, on-site CT-FFR simulation is feasible and has better diagnostic performance than anatomic stenosis assessment. Furthermore, the diagnostic performance of the on-site CT-FFR simulation algorithm does not depend on the readers' semiautomated lumen segmentation adjustments., (Copyright © 2017 Elsevier Inc. All rights reserved.)
- Published
- 2018
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33. The effect of four-phasic versus three-phasic contrast media injection protocols on extravasation rate in coronary CT angiography: a randomized controlled trial.
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Karády J, Panajotu A, Kolossváry M, Szilveszter B, Jermendy ÁL, Bartykowszki A, Károlyi M, Celeng C, Merkely B, and Maurovich-Horvat P
- Subjects
- Contrast Media administration & dosage, Dose-Response Relationship, Drug, Female, Follow-Up Studies, Humans, Injections, Intravenous, Iopamidol administration & dosage, Male, Middle Aged, Prospective Studies, Single-Blind Method, Computed Tomography Angiography methods, Coronary Angiography methods, Coronary Artery Disease diagnosis, Iopamidol analogs & derivatives
- Abstract
Objectives: Contrast media (CM) extravasation is a well-known complication of CT angiography (CTA). Our prospective randomized control study aimed to assess whether a four-phasic CM administration protocol reduces the risk of extravasation compared to the routinely used three-phasic protocol in coronary CTA., Methods: Patients referred to coronary CTA due to suspected coronary artery disease were included in the study. All patients received 400 mg/ml iomeprol CM injected with dual-syringe automated injector. Patients were randomized into a three-phasic injection-protocol group, with a CM bolus of 85 ml followed by 40 ml of 75%:25% saline/CM mixture and 30 ml saline chaser bolus; and a four-phasic injection-protocol group, with a saline pacer bolus of 10 ml injected at a lower flow rate before the three-phasic protocol., Results: 2,445 consecutive patients were enrolled (mean age 60.6 ± 12.1 years; females 43.6%). Overall rate of extravasation was 0.9% (23/2,445): 1.4% (17/1,229) in the three-phasic group and 0.5% (6/1,216) in the four-phasic group (p = 0.034)., Conclusions: Four-phasic CM administration protocol is easy to implement in the clinical routine at no extra cost. The extravasation rate is reduced by 65% with the application of the four-phasic protocol compared to the three-phasic protocol in coronary CTA., Key Points: • Four-phasic CM injection-protocol reduces extravasation rate by 65% compared to three-phasic. • The saline pacer bolus substantially reduces the risk of CM extravasation. • The implementation of four-phasic injection-protocol is at no cost.
- Published
- 2017
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34. Aortic root dimensions are predominantly determined by genetic factors: a classical twin study.
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Celeng C, Kolossváry M, Kovács A, Molnár AÁ, Szilveszter B, Horváth T, Károlyi M, Jermendy ÁL, Tárnoki ÁD, Tárnoki DL, Karády J, Voros S, Jermendy G, Merkely B, and Maurovich-Horvat P
- Subjects
- Aorta diagnostic imaging, Computed Tomography Angiography methods, Echocardiography methods, Female, Genotype, Humans, Imaging, Three-Dimensional methods, Male, Middle Aged, Multidetector Computed Tomography methods, Multimodal Imaging methods, Sinus of Valsalva anatomy & histology, Sinus of Valsalva diagnostic imaging, Twins, Dizygotic, Twins, Monozygotic, Aorta anatomy & histology, Genetic Determinism
- Abstract
Objectives: Previous studies using transthoracic echocardiography (TTE) observed moderate heritability of aortic root dimensions. Computed tomography angiography (CTA) might provide more accurate heritability estimates. Our primary aim was to assess the heritability of the aortic root with CTA. Our secondary aim was to derive TTE-based heritability and compare this with the CTA-based results., Methods: In the BUDAPEST-GLOBAL study 198 twin subjects (118 monozygotic, 80 dizygotic; age 56.1 ± 9.4 years; 126 female) underwent CTA and TTE. We assessed the diameter of the left ventricular outflow tract (LVOT), annulus, sinus of Valsalva, sinotubular junction and ascending aorta. Heritability was assessed using ACDE model (A additive genetic, C common environmental, D dominant genetic, E unique environmental factors)., Results: Based on CTA, additive genetic effects were dominant (LVOT: A = 0.67, E = 0.33; annulus: A = 0.76, E = 0.24; sinus of Valsalva: A = 0.83, E = 0.17; sinotubular junction: A = 0.82, E = 0.18; ascending aorta: A = 0.75, E = 0.25). TTE-derived measurements showed moderate to no genetic influence (LVOT: A = 0.38, E = 0.62; annulus: C = 0.47, E = 0.53; sinus of Valsalva: C = 0.63, E = 0.37; sinotubular junction: C = 0.45, E = 0.55; ascending aorta: A = 0.67, E = 0.33)., Conclusion: CTA-based assessment suggests that aortic root dimensions are predominantly determined by genetic factors. TTE-based measurements showed moderate to no genetic influence. The choice of measurement method has substantial impact on heritability estimates., Key Points: • Aortic root dimensions are determined by genetic and environmental effects. • Transthoracic echocardiography (TTE) demonstrated moderate to no genetic effects on aortic root dimensions. • Computed tomography angiography might provide more accurate heritability estimates compared to TTE. • Three-dimensional imaging techniques are needed to reliably quantify aortic root dimensions.
- Published
- 2017
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35. Iterative model reconstruction reduces calcified plaque volume in coronary CT angiography.
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Károlyi M, Szilveszter B, Kolossváry M, Takx RA, Celeng C, Bartykowszki A, Jermendy ÁL, Panajotu A, Karády J, Raaijmakers R, Giepmans W, Merkely B, and Maurovich-Horvat P
- Subjects
- Aged, Algorithms, Female, Humans, Male, Middle Aged, Radiation Dosage, Reproducibility of Results, Tomography, X-Ray Computed methods, Computed Tomography Angiography methods, Coronary Angiography methods, Plaque, Atherosclerotic diagnostic imaging, Radiographic Image Interpretation, Computer-Assisted methods
- Abstract
Objective: To assess the impact of iterative model reconstruction (IMR) on calcified plaque quantification as compared to filtered back projection reconstruction (FBP) and hybrid iterative reconstruction (HIR) in coronary computed tomography angiography (CTA)., Methods: Raw image data of 52 patients who underwent 256-slice CTA were reconstructed with IMR, HIR and FBP. We evaluated qualitative, quantitative image quality parameters and quantified calcified and partially calcified plaque volumes using automated software., Results: Overall qualitative image quality significantly improved with HIR as compared to FBP, and further improved with IMR (p<0.01 all). Contrast-to-noise ratios were improved with IMR, compared to HIR and FBP (51.0 [43.5-59.9], 20.3 [16.2-25.9] and 14.0 [11.2-17.7], respectively, all p<0.01) Overall plaque volumes were lowest with IMR and highest with FBP (121.7 [79.3-168.4], 138.7 [90.6-191.7], 147.0 [100.7-183.6]). Similarly, calcified volumes (>130 HU) were decreased with IMR as compared to HIR and FBP (105.9 [62.1-144.6], 110.2 [63.8-166.6], 115.9 [81.7-164.2], respectively, p<0.05 all). High-attenuation non-calcified volumes (90-129 HU) yielded similar values with FBP and HIR (p=0.81), however it was lower with IMR (p < 0.05 both). Intermediate- (30-89 HU) and low-attenuation (<30 HU) non-calcified volumes showed no significant difference (p=0.22 and p=0.67, respectively)., Conclusions: IMR improves image quality of coronary CTA and decreases calcified plaque volumes., (Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.)
- Published
- 2017
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36. Non-invasive and invasive imaging of vulnerable coronary plaque.
- Author
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Celeng C, Takx RA, Ferencik M, and Maurovich-Horvat P
- Subjects
- Computed Tomography Angiography, Coronary Angiography, Coronary Artery Disease pathology, Coronary Vessels pathology, Fibrosis, Humans, Magnetic Resonance Angiography, Multimodal Imaging, Necrosis, Positron-Emission Tomography, Predictive Value of Tests, Prognosis, Rupture, Spontaneous, Spectroscopy, Near-Infrared, Tomography, Optical Coherence, Ultrasonography, Interventional, Coronary Artery Disease diagnostic imaging, Coronary Vessels diagnostic imaging, Diagnostic Imaging methods, Plaque, Atherosclerotic
- Abstract
Vulnerable plaque is characterized by a large necrotic core and an overlying thin fibrous cap. Non-invasive imaging modalities such as computed tomography angiography (CTA) and magnetic resonance imaging (MRI) allow for the assessment of morphological plaque characteristics, while positron emission tomography (PET) enables the detection of metabolic activity within the atherosclerotic lesions. Invasive imaging modalities such as intravascular ultrasound (IVUS), optical-coherence tomography (OCT), and intravascular MRI (IV-MRI) display plaques at a high spatial resolution. Near-infrared spectroscopy (NIRS) allows for the detection of chemical components of atherosclerotic plaques. In this review, we describe state-of-the-art non-invasive and invasive imaging modalities and stress the combination of their advantages to identify vulnerable plaque features., (Copyright © 2016 Elsevier Inc. All rights reserved.)
- Published
- 2016
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37. Prognostic Value of Coronary Computed Tomography Angiography in Patients With Diabetes: A Meta-analysis.
- Author
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Celeng C, Maurovich-Horvat P, Ghoshhajra BB, Merkely B, Leiner T, and Takx RA
- Subjects
- Coronary Artery Disease mortality, Diabetes Complications epidemiology, Humans, Myocardial Infarction mortality, Predictive Value of Tests, Prevalence, Prognosis, Risk Factors, Computed Tomography Angiography methods, Coronary Angiography methods, Coronary Artery Disease diagnostic imaging, Diabetes Complications diagnostic imaging, Diabetes Mellitus
- Abstract
Objective: The usefulness of coronary computed tomography angiography (CTA) for the evaluation of coronary artery disease (CAD) in patients with diabetes is ambiguous. We therefore performed a meta-analysis of studies reporting event rates and hazard ratios (HR) to determine the prognostic value of CTA in this patient population., Research Design and Methods: We searched PubMed and Embase up to November 2015. Study subjects' characteristics, events (all-cause mortality or cardiac death, nonfatal myocardial infarction, unstable angina pectoris, stroke, revascularization), and events excluding revascularization were collected. We calculated the prevalence of obstructive and nonobstructive CAD on CTA, annualized event rates, and pooled unadjusted and adjusted HR using a generic inverse random model., Results: Eight studies were eligible for inclusion into this meta-analysis, with 6,225 participants (56% male; weighted age, 61 years) with a follow-up period ranging from 20 to 66 months. The prevalence of obstructive CAD, nonobstructive CAD, and no CAD was 38%, 36%, and 25%, respectively. The annualized event rate was 17.1% for obstructive CAD, 4.5% for nonobstructive CAD, and 0.1% for no CAD. Obstructive and nonobstructive CAD were associated with an increased HR of 5.4 and 4.2, respectively. A higher HR for obstructive CAD was observed in studies including revascularization compared with those that did not (7.3 vs. 3.7, P = 0.124)., Conclusions: CTA in patients with diabetes allows for safely ruling out future events, and the detection of CAD could allow for the identification of high-risk patients in whom aggressive risk factor modification, medical surveillance, or elective revascularization could potentially improve survival., (© 2016 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.)
- Published
- 2016
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38. Hypertrophic Cardiomyopathy in a Monozygotic Twin Pair: Similarly Different.
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Kovács A, Molnár AÁ, Celeng C, Tóth A, Vágó H, Apor A, Tárnoki ÁD, Tárnoki DL, Kósa J, Lakatos P, Voros S, Jermendy G, Merkely B, and Maurovich-Horvat P
- Subjects
- Aged, Cardiomyopathy, Hypertrophic diagnostic imaging, Cardiomyopathy, Hypertrophic drug therapy, Cardiomyopathy, Hypertrophic physiopathology, Cardiovascular Agents therapeutic use, Computed Tomography Angiography, Coronary Angiography methods, DNA Mutational Analysis, Echocardiography, Electrocardiography, Epigenesis, Genetic, Female, Gene-Environment Interaction, Genetic Predisposition to Disease, Humans, Magnetic Resonance Imaging, Phenotype, Risk Factors, Treatment Outcome, Cardiomyopathy, Hypertrophic genetics, Connectin genetics, Mutation, Twins, Monozygotic genetics
- Published
- 2016
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39. Use of Coronary Computed Tomographic Angiography Findings to Modify Statin and Aspirin Prescription in Patients With Acute Chest Pain.
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Pursnani A, Celeng C, Schlett CL, Mayrhofer T, Zakroysky P, Lee H, Ferencik M, Fleg JL, Bamberg F, Wiviott SD, Truong QA, Udelson JE, Nagurney JT, and Hoffmann U
- Subjects
- Acute Coronary Syndrome complications, Acute Coronary Syndrome prevention & control, Adult, Aged, Chest Pain etiology, Decision Making, Diagnosis, Differential, Dose-Response Relationship, Drug, Drug Therapy, Combination, Female, Humans, Male, Middle Aged, Platelet Aggregation Inhibitors administration & dosage, Predictive Value of Tests, Reproducibility of Results, Acute Coronary Syndrome diagnostic imaging, Aspirin administration & dosage, Chest Pain diagnostic imaging, Coronary Angiography methods, Drug Prescriptions statistics & numerical data, Hydroxymethylglutaryl-CoA Reductase Inhibitors administration & dosage, Multidetector Computed Tomography methods
- Abstract
Coronary CT angiography (CCTA) is used in patients with low-intermediate chest pain presenting to the emergency department for its reliability in excluding acute coronary syndrome (ACS). However, its influence on medication modification in this setting is unclear. We sought to determine whether knowledge of CCTA-based coronary artery disease (CAD) was associated with change in statin and aspirin prescription. We used the CCTA arm of the Rule Out Myocardial Infarction using Computed Angiographic Tomography II multicenter, randomized control trial (R-II) and comparison cohort from the observational Rule Out Myocardial Infarction using Computed Angiographic Tomography I cohort (R-I). In R-II, subjects were randomly assigned to CCTA to guide decision making, whereas in R-I patients underwent CCTA with results blinded to caregivers and managed according to standard care. Our final cohort consisted of 277 subjects from R-I and 370 from R-II. ACS rate was similar (6.9% vs 6.2% respectively, p = 0.75). For subjects with CCTA-detected obstructive CAD without ACS, initiation of statin was significantly greater after disclosure of CCTA results (0% in R-I vs 20% in R-II, p = 0.009). Conversely, for subjects without CCTA-detected CAD, aspirin prescription was lower with disclosure of CCTA results (16% in R-I vs 4.8% in R-II, p = 0.001). However, only 68% of subjects in R-II with obstructive CAD were discharged on statin and 65% on aspirin. In conclusion, physician knowledge of CCTA results leads to improved alignment of aspirin and statin with the presence and severity of CAD although still many patients with CCTA-detected CAD are not discharged on aspirin or statin. Our findings suggest opportunity for practice improvement when CCTA is performed in the emergency department., (Copyright © 2016 Elsevier Inc. All rights reserved.)
- Published
- 2016
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40. The effect of iterative model reconstruction on coronary artery calcium quantification.
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Szilveszter B, Elzomor H, Károlyi M, Kolossváry M, Raaijmakers R, Benke K, Celeng C, Bartykowszki A, Bagyura Z, Lux Á, Merkely B, and Maurovich-Horvat P
- Subjects
- Aged, Algorithms, Computer Simulation, Female, Humans, Male, Middle Aged, Plaque, Atherosclerotic, Predictive Value of Tests, Prognosis, Risk Assessment, Risk Factors, Severity of Illness Index, Coronary Angiography methods, Coronary Artery Disease diagnostic imaging, Coronary Vessels diagnostic imaging, Multidetector Computed Tomography methods, Radiographic Image Interpretation, Computer-Assisted methods, Vascular Calcification diagnostic imaging
- Abstract
Coronary artery calcium (CAC) scoring with computed tomography (CT) is an established tool for quantifying calcified atherosclerotic plaque burden. Despite the widespread use of novel image reconstruction techniques in CT, the effect of iterative model reconstruction on CAC score remains unclear. We sought to assess the impact of iterative model based reconstruction (IMR) on coronary artery calcium quantification as compared to the standard filtered back projection (FBP) algorithm and hybrid iterative reconstruction (HIR). In addition, we aimed to simulate the impact of iterative reconstruction techniques on calcium scoring based risk stratification of a larger asymptomatic population. We studied 63 individuals who underwent CAC scoring. Images were reconstructed with FBP, HIR and IMR and CAC scores were measured. We estimated the cardiovascular risk reclassification rate of IMR versus HIR and FBP in a larger asymptomatic population (n = 504). The median CAC scores were 147.7 (IQR 9.6-582.9), 107.0 (IQR 5.9-526.6) and 115.1 (IQR 9.3-508.3) for FBP, HIR and IMR, respectively. The HIR and IMR resulted in lower CAC scores as compared to FBP (both p < 0.001), however there was no difference between HIR and IMR (p = 0.855). The CAC score decreased by 7.2 % in HIR and 7.3 % in IMR as compared to FBP, resulting in a risk reclassification rate of 2.4 % for both HIR and IMR. The utilization of IMR for CAC scoring reduces the measured calcium quantity. However, the CAC score based risk stratification demonstrated modest reclassification in IMR and HIR versus FBP.
- Published
- 2016
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41. Plaque assessment by coronary CT.
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Szilveszter B, Celeng C, and Maurovich-Horvat P
- Subjects
- Automation, Coronary Artery Disease epidemiology, Humans, Predictive Value of Tests, Prognosis, Radiographic Image Interpretation, Computer-Assisted, Risk Assessment, Risk Factors, Rupture, Spontaneous, Software, Coronary Angiography methods, Coronary Artery Disease diagnostic imaging, Coronary Vessels diagnostic imaging, Plaque, Atherosclerotic, Tomography, X-Ray Computed
- Abstract
Coronary CT angiography (CTA) has emerged as a highly reliable and non-invasive modality for the exclusion of coronary artery disease. Recent technological advancements in coronary CTA imaging allow for robust qualitative and quantitative assessment of atherosclerotic plaques. Furthermore, CTA is a promising modality for functional evaluation of coronary lesions. Individual plaque features, the extent and severity of atherosclerotic plaque burden were proposed to improve cardiovascular risk stratification. It has been suggested that total atherosclerotic plaque burden is a stronger predictor of coronary events than total ischemia burden. The quest to noninvasively detect individual vulnerable plaques still remains. In the current review we sought to summarize state-of-the-art coronary artery plaque assessment by CTA.
- Published
- 2016
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42. Defining the optimal systolic phase targets using absolute delay time for reconstructions in dual-source coronary CT angiography.
- Author
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Celeng C, Vadvala H, Puchner S, Pursnani A, Sharma U, Kovacs A, Maurovich-Horvat P, Hoffmann U, and Ghoshhajra B
- Subjects
- Adult, Aged, Algorithms, Anatomic Landmarks, Blood Flow Velocity, Coronary Artery Disease physiopathology, Coronary Circulation, Coronary Vessels physiopathology, Female, Humans, Male, Middle Aged, Predictive Value of Tests, Regional Blood Flow, Retrospective Studies, Systole, Time Factors, Coronary Angiography methods, Coronary Artery Disease diagnostic imaging, Coronary Vessels diagnostic imaging, Multidetector Computed Tomography methods, Radiographic Image Interpretation, Computer-Assisted methods
- Abstract
To define the optimal systolic phase for dual-source computed tomography angiography using an absolute reconstruction delay time after the R-R interval based on the coronary artery motion, we analyzed images reconstructed between 200 and 420 miliseconds (ms) after the R wave at 20 ms increments in 21 patients. Based on the American Heart Association coronary segmentation guidelines, the origin of six coronary artery landmarks (RCA, AM1, PDA, LM, OM1, and D2) were selected to calculate the coronary artery motion velocity. The velocity of the given landmark was defined as the quotient of the route and the length of the time interval. The x, y and z-coordinates of the selected landmark were recorded, and were used for the calculation of the 3D route of coronary artery motion by using a specific equation. Differences in velocities were assessed by analysis of variance for repeated measures; Bonferroni post hoc tests were used for multiple pair wise comparisons. 1488 landmarks were measured (6 locations at 12 systolic time points) in 21 patients and were analyzed. The mean values of the minimum velocities were calculated separately for each heart rate group (i.e. <65; 65-80; and >80 bpm). The mean lowest coronary artery velocities in each segment occurred in the middle period of each time interval of the acquired systolic phase i.e. 280-340 ms. No differences were found in the minimal coronary artery velocities between the three HR groups, with the exception of the AM1 branch (p = 0.00495) between <65 and >80 bpm (p = 0.03), and at HRs of 65-80 versus >80 bpm (p = 0.006). During an absolute delay of 200-420 ms after the R-wave, the ideal reconstruction interval varies significantly among coronary artery segments. Decreased velocities occur between 280 to 340 ms. Therefore a narrow range of systolic intervals, rather than a single phase, should be acquired.
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- 2016
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43. Multimodality Imaging of Giant Right Coronary Aneurysm and Postsurgical Coronary Artery Inflammation.
- Author
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Celeng C, Székely L, Tóth A, Dénes M, Csobay-Novák C, Bartykowszki A, Károlyi M, Vágó H, Szőke S, Coelho Filho OR, Andréka P, Merkely B, and Maurovich-Horvat P
- Subjects
- Arteritis etiology, Coronary Aneurysm surgery, Humans, Male, Middle Aged, Postoperative Complications etiology, Arteritis diagnosis, Coronary Aneurysm diagnosis, Magnetic Resonance Imaging, Cine, Multidetector Computed Tomography, Multimodal Imaging, Postoperative Complications diagnosis
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- 2015
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44. Potential for coronary CT angiography to tailor medical therapy beyond preventive guideline-based recommendations: insights from the ROMICAT I trial.
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Pursnani A, Schlett CL, Mayrhofer T, Celeng C, Zakroysky P, Bamberg F, Nagurney JT, Truong QA, and Hoffmann U
- Subjects
- Adult, Aged, Boston, Coronary Angiography standards, Female, Guideline Adherence, Humans, Male, Middle Aged, Patient Admission, Patient Discharge, Patient Selection, Practice Guidelines as Topic, Predictive Value of Tests, Primary Prevention standards, Secondary Prevention standards, Severity of Illness Index, Acute Coronary Syndrome diagnostic imaging, Acute Coronary Syndrome drug therapy, Aspirin therapeutic use, Coronary Angiography methods, Coronary Artery Disease diagnostic imaging, Coronary Artery Disease drug therapy, Emergency Service, Hospital standards, Hydroxymethylglutaryl-CoA Reductase Inhibitors therapeutic use, Platelet Aggregation Inhibitors therapeutic use, Tomography, X-Ray Computed standards
- Abstract
Background: Coronary CT angiography (CCTA) is used in the emergency department to rule out acute coronary syndrome in low-intermediate risk patients., Objectives: We evaluated the potential of CCTA to tailor aspirin (ASA) and statin therapy in acute chest pain patients., Methods: We included all patients in the ROMICAT I trial who underwent CCTA before admission. Results of CCTA were blinded to caretakers. We documented ASA and statin therapy at admission and discharge and determined change in medications during hospitalization, agreement of discharge medications with contemporaneous guidelines, and agreement with the presence and severity of coronary artery disease (CAD) as determined by CCTA., Results: We included 368 patients (53 ± 12 years; 61% male). Baseline medical therapy at presentation included 27% on ASA and 24% on statin. Most patients who qualified for secondary prevention were on ASA and statin therapy at discharge (95% and 80%, respectively), whereas among those qualifying for primary prevention therapy, only 59% of patients were on aspirin and 33% were on statin at discharge. Excluding secondary prevention patients, among those with CCTA-detected CAD, only 66/131 (50%) were on ASA at discharge and only 53/131 (40%) were on statin. Conversely, in those without CCTA-detected CAD, 54/156 (35%) were on ASA and 20/151 (13%) were on statin at discharge., Conclusion: There are significant discrepancies between discharge prescription of statin and ASA with the presence and extent of CAD. CCTA presents an efficient opportunity to tailor medical therapy to CAD in patients undergoing CCTA as part of their acute chest pain evaluation., (Copyright © 2015 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.)
- Published
- 2015
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45. Esmolol is noninferior to metoprolol in achieving a target heart rate of 65 beats/min in patients referred to coronary CT angiography: a randomized controlled clinical trial.
- Author
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Maurovich-Horvat P, Károlyi M, Horváth T, Szilveszter B, Bartykowszki A, Jermendy ÁL, Panajotu A, Celeng C, Suhai FI, Major GP, Csobay-Novák C, Hüttl K, and Merkely B
- Subjects
- Aged, Chi-Square Distribution, Coronary Stenosis diagnostic imaging, Female, Heart Rate physiology, Humans, Infusions, Intravenous, Male, Middle Aged, Premedication methods, Sensitivity and Specificity, Coronary Angiography methods, Heart Rate drug effects, Metoprolol administration & dosage, Propanolamines administration & dosage, Tomography, X-Ray Computed methods
- Abstract
Background: Coronary CT angiography (CTA) is an established tool to rule out coronary artery disease. Performance of coronary CTA is highly dependent on patients' heart rates (HRs). Despite widespread use of β-blockers for coronary CTA, few studies have compared various agents used to achieve adequate HR control., Objective: We sought to assess if the ultrashort-acting β-blocker intravenous esmolol is at least as efficacious as the standard of care intravenous metoprolol for HR control during coronary CTA., Methods: Patients referred to coronary CTA with a HR >65 beats/min despite oral metoprolol premedication were enrolled in the study. We studied 412 patients (211 male; mean age, 57 ± 12 years). Two hundred four patients received intravenous esmolol, and 208 received intravenous metoprolol with a stepwise bolus administration protocol. HR and blood pressure were recorded at arrival, before, during, immediately after, and 30 minutes after the coronary CTA scan., Results: Mean HRs of the esmolol and metoprolol groups were similar at arrival (78 ± 13 beats/min vs 77 ± 12 beats/min; P = .65) and before scan (68 ± 7 beats/min vs 69 ± 7 beats/min; P = .60). However, HR during scan was lower in the esmolol group vs the metoprolol group (58 ± 6 beats/min vs 61 ± 7 beats/min; P < .0001), whereas HRs immediately and 30 minutes after the scan were higher in the esmolol group vs the metoprolol group (68 ± 7 beats/min vs 66 ± 7 beats/min; P = .01 and 65 ± 8 beats/min vs 63 ± 8 beats/min; P < .0001; respectively). HR ≤ 65 beats/min was reached in 182 of 204 patients (89%) who received intravenous esmolol vs 162 of 208 of the patients (78%) who received intravenous metoprolol (P < .05). Of note, hypotension (systolic BP <100 mm Hg) was observed right after the scan in 19 patients (9.3%) in the esmolol group and in 8 patients (3.8%) in the metoprolol group (P < .05), whereas only 5 patients (2.5%) had hypotension 30 minutes after the scan in the esmolol group compared to 8 patients (3.8%) in the metoprolol group (P = .418)., Conclusion: Intravenous esmolol with a stepwise bolus administration protocol is at least as efficacious as the standard of care intravenous metoprolol for HR control in patients who undergo coronary CTA., (Copyright © 2015 The Authors. Published by Elsevier Inc. All rights reserved.)
- Published
- 2015
- Full Text
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46. Impact of hemodialysis, left ventricular mass and FGF-23 on myocardial mechanics in end-stage renal disease: a three-dimensional speckle tracking study.
- Author
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Kovács A, Tapolyai M, Celeng C, Gara E, Faludi M, Berta K, Apor A, Nagy A, Tislér A, and Merkely B
- Subjects
- Adult, Biomarkers blood, Case-Control Studies, Cross-Sectional Studies, Female, Fibroblast Growth Factor-23, Heart Ventricles physiopathology, Humans, Hypertrophy, Left Ventricular blood, Hypertrophy, Left Ventricular etiology, Hypertrophy, Left Ventricular physiopathology, Kidney Failure, Chronic blood, Kidney Failure, Chronic complications, Kidney Failure, Chronic diagnosis, Male, Middle Aged, Predictive Value of Tests, Recovery of Function, Time Factors, Treatment Outcome, Ventricular Dysfunction, Left blood, Ventricular Dysfunction, Left etiology, Ventricular Dysfunction, Left physiopathology, Young Adult, Echocardiography, Three-Dimensional, Fibroblast Growth Factors blood, Heart Ventricles diagnostic imaging, Hypertrophy, Left Ventricular diagnostic imaging, Kidney Failure, Chronic therapy, Myocardial Contraction, Renal Dialysis, Ventricular Dysfunction, Left diagnostic imaging, Ventricular Function, Left
- Abstract
Left ventricular (LV) hypertrophy and one of its inducers, the fibroblast growth factor-23 (FGF-23) were found to be associated with unfavourable outcome in end-stage renal disease (ESRD) patients. We sought to investigate the influence of hemodialysis (HD), increased LV mass and FGF-23 on LV mechanics using three-dimensional (3D) speckle tracking echocardiography. Forty-four ESRD patients on maintenance HD were examined just before and immediately after HD, and were compared to 44 normal controls (NC). Transthoracic 3D recordings were obtained using multi-beat reconstruction from 6 consecutive cardiac cycles. LV mass index (LVMi) was evaluated and 3D speckle tracking analysis was performed to calculate global longitudinal (GLS), circumferential (GCS), area (GAS) and radial (GRS) peak systolic strain. Serum FGF-23 levels were also measured. Strain values improved in all directions after HD [pre- vs. post-HD; GLS: -20(3) vs. -21(6), GCS: -20(4) vs. -22(7), GAS: -33(5) vs. -35(10), GRS: 50(12) vs. 53.5(20) %, all p < 0.01]. LVMi was remarkably increased in our patients [ESRD vs. NC; 136(46) vs. 71(8) g/m(2), p < 0.001]. Elevated FGF-23 levels were associated with increased LV mass (ρ = 0.581, p < 0.001). LVMi was inversely related to pre-HD GCS (ρ = 0.626, p < 0.001) and post-HD GCS (ρ = 0.761, p < 0.001), GAS (ρ = 0.534, p < 0.05) and GRS (ρ = -0.639, p < 0.01). Serum FGF-23 levels correlated with post-HD GAS (ρ = 0.513, p < 0.01) and GRS (ρ = -0.512, p < 0.05). HD treatment results in immediate improvement in all strain directions. Besides inducing LV hypertrophy, FGF-23 may play a role in the deterioration of LV mechanics in patients with ESRD.
- Published
- 2014
- Full Text
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47. Radiation dose reduction in pediatric cardiac computed tomography: experience from a tertiary medical center.
- Author
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Ghoshhajra BB, Lee AM, Engel LC, Celeng C, Kalra MK, Brady TJ, Hoffmann U, Westra SJ, and Abbara S
- Subjects
- Adolescent, Child, Preschool, Dose-Response Relationship, Radiation, Electrocardiography, Female, Humans, Infant, Newborn, Male, Radiographic Image Enhancement, Radiologic Health methods, Retrospective Studies, United States, Angiography adverse effects, Angiography methods, Angiography standards, Heart Defects, Congenital diagnostic imaging, Mucocutaneous Lymph Node Syndrome diagnostic imaging, Radiation Injuries prevention & control, Radiation, Ionizing, Tomography, X-Ray Computed adverse effects, Tomography, X-Ray Computed methods, Tomography, X-Ray Computed standards
- Abstract
Cardiac CT angiography (cCTA) has become an established method for the assessment of congenital heart disease. However, the potential harmful effects of ionizing radiation must be considered, particularly in younger, more radiosensitive patients. In this study, we sought to assess the temporal change in radiation doses from pediatric cCTA during an 8-year period at a tertiary medical center. This retrospective study included all patients ≤18 years old who were referred to electrocardiography (ECG)-gated cCTA for the assessment of congenital heart disease or inflammatory disease (Kawasaki disease) from November 2004 to September 2012. During the study period, 95 patients were scanned using 3 different scanner models-64-slice multidetector CT (64-MDCT) and first- (64-DSCT) and second-generation (128-DSCT) dual-source CT-and 3 scan protocols-retrospective ECG-gated helical scanning (RG), prospective ECG-triggered axial scanning (PT), or prospective ECG-triggered high-pitch helical scanning (HPH). Effective dose (ED) was calculated with the dose length product method with a conversion factor (k) adjusted for age. ED was then compared among scan protocols. Image quality was extracted from clinical cCTA reports when available. Overall, 94 % of scans were diagnostic (80 % for 64-slice MDCT, 93 % for 64-slice DSCT, and 97 % for 128-slice DSCT).With 128-DSCT, median ED (1.0 [range 0.6-2.0] mSv) decreased by 85.8 % and 66.8 % compared with 64-MDCT (6.8 [range 2.9-13.6] mSv) and 64-DSCT (2.9 [range 0.9-4.1] mSv), respectively. With HPH, median ED (0.9 [range 0.6-1.8] mSv) decreased by 59.4 % and 85.4 % compared with PT (2.2 [range 0.9-3.4] mSv) and RG (6.1 [range 2.5-10.6] mSv). cCTA can now be obtained at very low radiation doses in pediatric patients using the latest dual-source CT technology in combination with prospective ECG-triggered HPH acquisition.
- Published
- 2014
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48. How to assess non-calcified plaque in CT angiography: delineation methods affect diagnostic accuracy of low-attenuation plaque by CT for lipid-core plaque in histology.
- Author
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Schlett CL, Ferencik M, Celeng C, Maurovich-Horvat P, Scheffel H, Stolzmann P, Do S, Kauczor HU, Alkadhi H, Bamberg F, and Hoffmann U
- Subjects
- Area Under Curve, Coronary Artery Disease pathology, Heart Transplantation, Humans, Immunohistochemistry, Lipid Metabolism, Plaque, Atherosclerotic pathology, Radiographic Image Enhancement methods, Reference Standards, Sensitivity and Specificity, Tissue Donors, Coronary Angiography methods, Coronary Artery Disease diagnostic imaging, Plaque, Atherosclerotic diagnostic imaging, Radiographic Image Interpretation, Computer-Assisted methods, Tomography, X-Ray Computed methods
- Abstract
Aims: To compare the accuracy of two plaque delineation methods for coronary computed tomographic angiography (CTA) to identify lipid-core plaque (LCP) using histology as the reference standard., Methods and Results: Five ex vivo hearts were analysed by CTA and histology. LCP was defined by histology as fibroatheroma with core diameter/circumference >200 μm/>60° and cap thickness <450 μm. In CTA, plaque was manually delineated either as the difference between the inner and outer vessel walls (Method A) or as a direct tracing of plaque (Method B). Low-attenuation plaque was defined as an area with <90 Hounsfield units. Of 446 co-registered cross-sections, 55 (12%) contained LCP. In CTA, low-attenuation plaque area was larger as assessed with Method A compared with Method B (difference: 120 ± 60%). Although low-attenuation plaque was associated with the presence of LCP, the delineation Method B yielded higher diagnostic accuracy than Method A [area under the curve (AUC): 0.831 vs. 0.780, respectively, P = 0.005]. After excluding 'normal' cross-sections by CTA (n = 117), AUC for detecting LCP became similar between both methods (0.767 vs. 0.729, P = 0.07, respectively)., Conclusion: Low-attenuation plaque in CTA is a diagnostic tool for LCP but prone to error if plaque is defined as the area between the inner and outer vessel walls and normal cross-sections are included in the assessment.
- Published
- 2013
- Full Text
- View/download PDF
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