22 results on '"Amzulescu MS"'
Search Results
2. Poster session Thursday 12 December - AM: 12/12/2013, 08: 30–12: 30Location: Poster area
- Author
-
Daraban, A M, Baltussen, L, Amzulescu, MS, Bogaert, J, Jassens, S, and Voigt, JU
- Published
- 2013
3. Rapid Fire Abstract: Emerging imaging techniques303Myocardial stiffness assessment using shear wave imaging in healthy adult population302Intracardiac vortex intensity predicts early decompensation in dilated cardiomyopathy304A quantitative and qualitative characterization of the intraventricular blood flow of the normal human left ventricle using a contrast-tracking echo-PIV technique305Speckle tracking derived diastolic strain rate is an independent determinant of cardiac magnetic resonance detected myocardial fibrosis in patients with Fabry disease306Head to head comparison of global and regional 2D speckle tracking strain vs cardiac magnetic resonance tagging in a multicenter validation study307A twisting left ventricular ultrasound phantom for evaluation of 3D speckle tracking twist measurements308A new 2D-strain index to improve cardiovascular risk stratification in heart failure with reduced and mid-range ejection fraction309Adding speckle tracking echocardiography to visual assessment improves the detection of chronic myocardial infarction
- Author
-
Villemain, O., primary, Takahashi, L., primary, Piro, VR., primary, Hu, K., primary, Amzulescu, MS., primary, Hjertaas, JJ., primary, Mornos, C., primary, Zaar, DVJ, primary, Correia, M., additional, Mousseaux, E., additional, Baranger, J., additional, Zarka, S., additional, Pernot, M., additional, Messas, E., additional, Uejima, T., additional, Nishikawa, H., additional, Semba, H., additional, Sawada, H., additional, Yamashita, T., additional, Piro, O., additional, Piro, N., additional, Liu, D., additional, Oder, D., additional, Herrmann, S., additional, Ertl, G., additional, Weidemann, F., additional, Wanner, C., additional, Stoerk, S., additional, Nordbeck, P., additional, Langet, H., additional, Saloux, E., additional, Manrique, A., additional, Boileau, L., additional, Slimani, A., additional, Allain, P., additional, Roy, C., additional, Pasquet, A., additional, De Craene, M., additional, Vancraeynest, D., additional, Pouleur, AC., additional, Vanoverschelde, JL., additional, Gerber, B L M, additional, Matre, K., additional, Ionac, A., additional, Petrescu, L., additional, Mornos, A., additional, Lazar, M., additional, Sosdean, R., additional, Cozma, D., additional, Van Mourik, M., additional, Smulders, MW., additional, Passos, VL., additional, Schalla, S., additional, Knackstedt, C., additional, Schummers, G., additional, Gjesdal, O., additional, Edvardsen, T., additional, and Bekkers, SC., additional
- Published
- 2016
- Full Text
- View/download PDF
4. HIT Poster session 1P154Preclinical diastolic dysfunction is related to impaired endothelial function in patients with chronic kidney diseaseP155Early detection of left atrial and left ventricular abnormalities in hypertensive and obese womenP156Right ventricle preserved systolic function irrespective of right ventricular hypertrophy and disease severity in anderson fabry diseaseP157Left atrial volume and function in patients undergoing percutaneous mitral valve repairP158Impact of left ventricular dysfunction on outcomes of patients undergoing direct TAVI with a self-expanding bioprosthesisP159Anatomic Doppler spectrum – retrospective spectral tissue Doppler from ultra high frame rate tissue Doppler imaging for evaluation of tissue deformationP160Phasic dynamics of ischaemic mitral regurgitation after primary coronary intervention in acute myocardial infarction: serial echocardiographic assessment from emergency room to long-term follow-upP161Reproducibility of 3DE RV volumes - novel insights at a regional levelP162Pulmonary vascular capacitance as assessed by echocardiography in pulmonary arterial hypertensionP163Three-dimensional endocardial area strain: a novel parameter for quantitative assessment of global left ventricular systolic functionP164Role of exercise hemodynamics assessed by echocardiography on symptom reduction after MitraClipP165Early identification of ventricular dysfunction in patients with juvenile systemic sclerosisP166Heart failure with and without preserved ejection fraction - the role of biomarkers in the aspect of global longitudinal strainP167Complex systolic deformation of aortic root: insights from two dimensional speckle tracking imageP168Volumetric and deformational imaging usind 2d strain and 3d echocardiography in patients with pulmonary hypertensionP169Influence of pressure load and right ventricular morphology and function on tricuspid regurgitation in pulmonary arterial hypertensionP170Left ventricular myocardial diastolic deformation analysis by 2D speckle tracking echocardiography and relationship with conventional diastolic parameters in chronic aortic regurgitationP171Extracellular volume, and not native T1 time, distinguishes diffuse fibrosis in dilated or hypertrophic cardiomyopathy at 3TP172Left atrial strain is significantly reduced in arterial hypertensionP173Symptomatic severe secondary mitral regurgitation: LV enddiastolic diameter (LVEDD) as preferable parameter for risk stratificationP174Left ventricular mechanics in isolated left bundle branch block at rest and when exercising: exploration of the concept of conductive cardiomyopathyP175Assessment of myocardial scar by 2D contrast echocardiographyP176Chronic pericarditis - expression of a rare disease: Erdheim Chester diseaseP177Aortic arch mechanics with two-dimensional speckle tracking echocardiography to estimate the left ventricular remodelling in hypertensive patientsP178Strain analysis by tissue doppler imaging: comparison of conventional manual measurement with a semi-automated approachP179Distribution of extravascular lung water in heart failure patients assessed by lung ultrasoudP180Surrogate markers for obstructive coronary artery diseaseP181LA deformation and LV longitudinal strain by two-dimensional speckle tracking echocardiography as predictors of postoperative AF development after aortic valve replacement in ASP182Left ventricular diastolic dysfunction in type 2 diabetic patients with non alcoholic fatty liver diseaseP183Myocardial strain by speckle-tracking and evaluation of 3D ejection fraction in drug-induced cardiotoxicity's approach in breast cancer
- Author
-
Gevaert, AB, primary, Borizanova, A, primary, Graziani, F, primary, Galuszka, O M, primary, Stathogiannis, K, primary, Lervik Nilsen, L C, primary, Nishino, S, primary, Willis, J, primary, Venner, C, primary, Luo, XX, primary, Van De Heyning, C M, primary, Castaldi, B, primary, Michalski, BW, primary, Wang, TL, primary, Aktemur, T, primary, Dorlet, S, primary, Verseckaite, R, primary, Amzulescu, MS, primary, Brecht, A, primary, Brand, M, primary, Galli, E, primary, Murzilli, R, primary, Bica, R, primary, Teixeira, R, primary, Schmid, J, primary, Miglioranza, MH, primary, Cherneva, ZH, primary, Gheghici, S, primary, Pernigo, M, primary, Rafael, D, primary, Van Craenenbroeck, AH, additional, Shivalkar, B, additional, Lemmens, K, additional, Vrints, CJ, additional, Van Craenenbroeck, EM, additional, Somleva, D, additional, Zlatareva- Gronkova, N, additional, Kinova, E, additional, Goudev, A, additional, Camporeale, A, additional, Pieroni, M, additional, Pedicino, D, additional, Laurito, MP, additional, Verrecchia, E, additional, Lanza, GA, additional, Manna, R, additional, Crea, F, additional, Reinthaler, M, additional, Rutschow, S, additional, Gross, M, additional, Landmesser, U, additional, Kasner, M, additional, Toutouzas, K, additional, Drakopoulou, M, additional, Latsios, G, additional, Synetos, A, additional, Kaitozis, O, additional, Trantalis, G, additional, Mastrokostopoulos, A, additional, Kotronias, R, additional, Tousoulis, D, additional, Brekke, BB, additional, Aase, SA, additional, Lonnebakken, MT, additional, Stensvag, D, additional, Amundsen, B, additional, Torp, H, additional, Stoylen, A, additional, Watanabe, N, additional, Kimura, T, additional, Nakama, T, additional, Furugen, M, additional, Koiwaya, H, additional, Ashikaga, K, additional, Kuriyama, N, additional, Shibata, Y, additional, Augustine, DX, additional, Knight, D, additional, Sparey, J, additional, Coghlan, G, additional, Easaw, J, additional, Huttin, O, additional, Voilliot, D, additional, Mercy, M, additional, Villemin, T, additional, Olivier, A, additional, Mandry, D, additional, Chaouat, A, additional, Juilliere, Y, additional, Selton-Suty, C, additional, Fang, F, additional, Li, S, additional, Zhang, ZH, additional, Yu, CM, additional, Bertrand, PB, additional, De Maeyer, C, additional, De Bock, D, additional, Paelinck, BP, additional, Claeys, MJ, additional, Reffo, E, additional, Balzarin, M, additional, Zulian, F, additional, Milanesi, O, additional, Miskowiec, D, additional, Kupczynska, K, additional, Peczek, L, additional, Nawrot, B, additional, Lipiec, P, additional, Kasprzak, JD, additional, Li, H, additional, Jin, XY, additional, Poci, N, additional, Kaymaz, C, additional, Venner, C, additional, Manenti, V, additional, Carillo, S, additional, Chabot, F, additional, Mizariene, V, additional, Rimkeviciute, D, additional, Bieseviciene, M, additional, Jonkaitiene, R, additional, Jurkevicius, R, additional, Roy, C, additional, Slimani, A, additional, Boileau, L, additional, De Meester, C, additional, Vancraeynest, D, additional, Pasquet, A, additional, Vanoverschelde, JL, additional, Pouleur, AC, additional, Gerber, BL, additional, Oertelt-Prigione, S, additional, Seeland, U, additional, Ruecke, M, additional, Regitz-Zagrosek, V, additional, Stangl, V, additional, Knebel, F, additional, Laux, D, additional, Roeing, J, additional, Butz, T, additional, Christ, M, additional, Grett, M, additional, Wennemann, R, additional, Trappe, H- J, additional, Fournet, M, additional, Leclercq, C, additional, Samset, E, additional, Daubert, J-C, additional, Donal, E, additional, Leo, LA, additional, Pasotti, E, additional, Klersy, C, additional, Moccetti, T, additional, Faletra, FF, additional, Dobre, D, additional, Darmon, S, additional, Dumitrescu, S, additional, Calistru, P, additional, Monteiro, R, additional, Ribeiro, M, additional, Garcia, J, additional, Cardim, N, additional, Goncalves, L, additional, Kaufmann, R, additional, Grubler, MR, additional, Verheyen, N, additional, Weidemann, F, additional, Binder, JS, additional, Santanna, RT, additional, Rover, MM, additional, Leiria, T, additional, Kalil, R, additional, Picano, E, additional, Gargani, L, additional, Kuneva, ZK, additional, Vasilev, DV, additional, Ianula, R, additional, Dasoveanu, M, additional, Calin, C, additional, Homentcovsci, C, additional, Siliste, R, additional, Bergamini, C, additional, Mantovani, A, additional, Bonapace, S, additional, Lipari, P, additional, Barbieri, E, additional, Bonora, E, additional, Targher, G, additional, Camarozano, AC, additional, Pereira Da Cunha, CL, additional, Padilha, SL, additional, Souza, AM, additional, and Freitas, AKE, additional
- Published
- 2015
- Full Text
- View/download PDF
5. HIT Poster session 1
- Author
-
Gevaert, AB, Van Craenenbroeck, AH, Shivalkar, B, Lemmens, K, Vrints, CJ, Van Craenenbroeck, EM, Borizanova, A, Somleva, D, Zlatareva- Gronkova, N, Kinova, E, Goudev, A, Graziani, F, Camporeale, A, Pieroni, M, Pedicino, D, Laurito, MP, Verrecchia, E, Lanza, GA, Manna, R, Crea, F, Galuszka, O M, Reinthaler, M, Rutschow, S, Gross, M, Landmesser, U, Kasner, M, Stathogiannis, K, Toutouzas, K, Drakopoulou, M, Latsios, G, Synetos, A, Kaitozis, O, Trantalis, G, Mastrokostopoulos, A, Kotronias, R, Tousoulis, D, Lervik Nilsen, L C, Brekke, BB, Aase, SA, Lonnebakken, MT, Stensvag, D, Amundsen, B, Torp, H, Stoylen, A, Nishino, S, Watanabe, N, Kimura, T, Nakama, T, Furugen, M, Koiwaya, H, Ashikaga, K, Kuriyama, N, Shibata, Y, Willis, J, Augustine, DX, Knight, D, Sparey, J, Coghlan, G, Easaw, J, Venner, C, Huttin, O, Voilliot, D, Mercy, M, Villemin, T, Olivier, A, Mandry, D, Chaouat, A, Juilliere, Y, Selton-Suty, C, Luo, XX, Fang, F, Li, S, Zhang, ZH, Yu, CM, Van De Heyning, C M, Bertrand, PB, De Maeyer, C, De Bock, D, Paelinck, BP, Vrints, CJ, Claeys, MJ, Castaldi, B, Reffo, E, Balzarin, M, Zulian, F, Milanesi, O, Michalski, BW, Miskowiec, D, Kupczynska, K, Peczek, L, Nawrot, B, Lipiec, P, Kasprzak, JD, Wang, TL, Li, H, Jin, XY, Aktemur, T, Poci, N, Kaymaz, C, Dorlet, S, Huttin, O, Voilliot, D, Venner, C, Villemin, T, Manenti, V, Carillo, S, Chabot, F, Juilliere, Y, Selton-Suty, C, Verseckaite, R, Mizariene, V, Rimkeviciute, D, Bieseviciene, M, Jonkaitiene, R, Jurkevicius, R, Amzulescu, MS, Roy, C, Slimani, A, Boileau, L, De Meester, C, Vancraeynest, D, Pasquet, A, Vanoverschelde, JL, Pouleur, AC, Gerber, BL, Brecht, A, Oertelt-Prigione, S, Seeland, U, Ruecke, M, Regitz-Zagrosek, V, Stangl, V, Knebel, F, Brand, M, Laux, D, Roeing, J, Butz, T, Christ, M, Grett, M, Wennemann, R, Trappe, H- J, Galli, E, Fournet, M, Leclercq, C, Samset, E, Daubert, J-C, Donal, E, Murzilli, R, Leo, LA, Pasotti, E, Klersy, C, Moccetti, T, Faletra, FF, Bica, R, Dobre, D, Darmon, S, Dumitrescu, S, Calistru, P, Teixeira, R, Monteiro, R, Ribeiro, M, Garcia, J, Cardim, N, Goncalves, L, Schmid, J, Kaufmann, R, Grubler, MR, Verheyen, N, Weidemann, F, Binder, JS, Miglioranza, MH, Santanna, RT, Rover, MM, Leiria, T, Kalil, R, Picano, E, Gargani, L, Cherneva, ZH, Kuneva, ZK, Vasilev, DV, Gheghici, S, Ianula, R, Dasoveanu, M, Calin, C, Homentcovsci, C, Siliste, R, Pernigo, M, Bergamini, C, Mantovani, A, Bonapace, S, Lipari, P, Barbieri, E, Bonora, E, Targher, G, Rafael, D, Camarozano, AC, Pereira Da Cunha, CL, Padilha, SL, Souza, AM, and Freitas, AKE
- Abstract
Background: Preclinical diastolic dysfunction is highly prevalent in the aging population, but mechanisms for progression into heart failure with preserved ejection fraction (HFpEF) are still obscure. Recently, microvascular endothelial inflammation and endothelial dysfunction (ED) were advocated as primum movens in the development of HFpEF. Purpose: We aimed to evaluate whether ED and arterial stiffness relate to diastolic and other structural and functional cardiac parameters. This was studied in patients with chronic kidney disease (CKD), known to be prone to diastolic dysfunction and left ventricular hypertrophy. Methods: Consecutive CKD patients, without concomitant cardiovascular disease, were included. Diastolic parameters were assessed by cardiac ultrasound using E/
e ´ ratio and left atrial volume index (LAVi). Also, left ventricular mass index (LVMi) and interventricular septum thickness (IVSd) were included. Endothelial function was evaluated by flow-mediated dilation (FMD) of the brachial artery induced by hyperaemia. Arterial stiffness was assessed by measuring carotid-femoral pulsed wave velocity (PWV). Results: After exclusion of patients with normal diastolic function (n=11), 52 patients (age 53.9 ± 12.8 years, 53.2% male) were assessed, of whom 36 underwent a second analysis after 3 months (total measurements 88). Mean creatinin clearance (eGFR) was 42.9 ± 23.2 ml/min/1.73m2. Comorbidities included arterial hypertension (90.4%) and diabetes mellitus (9.6%). Mean Framingham Heart score was 18.9% ± 18.7. Endothelial function was impaired (FMD 4.64% ± 2.61), and patients showed increased arterial stiffness (PWV 8.96 m/s ± 2.18). Ratio of E/e ´ was elevated (>12) in 36.4% of measurements. LVMi was raised in 28.4%, and LAVi was elevated in 45.1%. Patients with E/e ´ >12 had impaired FMD (p=0.005) and elevated PWV (p=0.047). In bivariate correlation analysis, FMD correlated with E/e ´ (r=-0.289, p=0.010) and with IVSd (r=-0.315, p=0.005). PWV did not show a relation with any of the diastolic indices (all p>0.05). In a multiple linear regression model, accounting for age, sex, smoking, eGFR, and PWV, FMD remained independently associated to E/e ´ (ß=-0.279, p=0.011) and IVSd (ß=-0.232, p=0.026). Conclusions: In CKD patients with preclinical diastolic dysfunction, impaired endothelial function correlates with higher filling pressures and structural cardiac changes. This observation supports the paradigm that ED plays a role in the pathophysiology of diastolic dysfunction, even in an asymptomatic stage.- Published
- 2015
- Full Text
- View/download PDF
6. Poster session Thursday 12 December - AM: 12/12/2013, 08:30-12:30 * Location: Poster area
- Author
-
Abdovic, E, Abdovic, S, Hristova, K, Hristova, K, Katova, TZ, Katova, TZ, Gocheva, N, Gocheva, N, Pavlova, M, Pavlova, M, Gurzun, M M, Ionescu, A, Canpolat, U, Yorgun, H, Sunman, H, Sahiner, L, Kaya, EB, Ozer, N, Tokgozoglu, L, Kabakci, G, Aytemir, K, Oto, A, Gonella, A, Dascenzo, F, Casasso, F, Conte, E, Margaria, F, Grosso Marra, W, Frea, S, Morello, M, Bobbio, M, Gaita, F, Seo, HY, Lee, SP, Lee, JM, Yoon, YE, Park, E, Kim, HK, Park, SJ, Lee, H, Kim, YJ, Sohn, DW, Nemes, A, Domsik, P, Kalapos, A, Orosz, A, Lengyel, C, Forster, T, Enache, R, Muraru, D, Popescu, BA, Calin, A, Nastase, O, Botezatu, D, Purcarea, F, Rosca, M, Beladan, CC, Ginghina, C, Canpolat, U, Aytemir, K, Ozer, N, Yorgun, H, Sahiner, L, Kaya, EB, Oto, A, Trial, Turkish Atrial Fibrosis, Muraru, D, Piasentini, E, Mihaila, S, Padayattil Jose, S, Peluso, D, Ucci, L, Naso, P, Puma, L, Iliceto, S, Badano, LP, Cikes, M, Jakus, N, Sutherland, GR, Haemers, P, Dhooge, J, Claus, P, Yurdakul, S, Oner, FATMA, Direskeneli, HANER, Sahin, TAYLAN, Cengiz, BETUL, Ercan, G, Bozkurt, AYSEN, Aytekin, SAIDE, Osa Saez, A M, Rodriguez-Serrano, M, Lopez-Vilella, R, Buendia-Fuentes, F, Domingo-Valero, D, Quesada-Carmona, A, Miro-Palau, VE, Arnau-Vives, MA, Palencia-Perez, M, Rueda-Soriano, J, Lipczynska, M, Piotr Szymanski, PS, Anna Klisiewicz, AK, Lukasz Mazurkiewicz, LM, Piotr Hoffman, PH, Kim, KH, Cho, SK, Ahn, Y, Jeong, MH, Cho, JG, Park, JC, Chinali, M, Franceschini, A, Matteucci, MC, Doyon, A, Esposito, C, Del Pasqua, A, Rinelli, G, Schaefer, F, group, the 4C study, Kowalik, E, Klisiewicz, A, Rybicka, J, Szymanski, P, Biernacka, EK, Hoffman, P, Lee, S, Kim, W, Yun, H, Jung, L, Kim, E, Ko, J, Ruddox, V, Norum, IB, Edvardsen, T, Baekkevar, M, Otterstad, JE, Erdei, T, Edwards, J, Braim, D, Yousef, Z, Fraser, AG, Cardiff, Investigators, MEDIA, Melcher, A, Reiner, B, Hansen, A, Strandberg, LE, Caidahl, K, Wellnhofer, E, Kriatselis, C, Gerd-Li, H, Furundzija, V, Thnabalasingam, U, Fleck, E, Graefe, M, Park, YJ, Moon, JG, Ahn, TH, Baydar, O, Kadriye Kilickesmez, KK, Ugur Coskun, UC, Polat Canbolat, PC, Veysel Oktay, VO, Umit Yasar Sinan, US, Okay Abaci, OA, Cuneyt Kocas, CK, Sinan Uner, SU, Serdar Kucukoglu, SK, Ferferieva, V, Claus, P, Rademakers, F, Dhooge, J, Le, T T, Wong, P, Tee, N, Huang, F, Tan, RS, Altman, M, Logeart, D, Bergerot, C, Gellen, B, Pare, C, Gerard, S, Sirol, M, Vicaut, E, Mercadier, JJ, Derumeaux, G A, investigators, PREGICA, Park, T-H, Park, J-I, Shin, S-W, Yun, S-H, Lee, J-E, Makavos, G, Kouris, N, Keramida, K, Dagre, A, Ntarladimas, I, Kostopoulos, V, Damaskos, D, Olympios, CD, Leong, DP, Piers, SRD, Hoogslag, GE, Hoke, U, Thijssen, J, Ajmone Marsan, N, Schalij, MJ, Bax, JJ, Zeppenfeld, K, Delgado, V, Rio, P, Branco, L, Galrinho, A, Cacela, D, Abreu, J, Timoteo, A, Teixeira, P, Pereira-Da-Silva, T, Selas, M, Cruz Ferreira, R, Popa, B A, Zamfir, L, Novelli, E, Lanzillo, G, Karazanishvili, L, Musica, G, Stelian, E, Benea, D, Diena, M, Cerin, G, Fusini, L, Mirea, O, Tamborini, G, Muratori, M, Gripari, P, Ghulam Ali, S, Cefalu, C, Maffessanti, F, Andreini, D, Pepi, M, Mamdoo, F, Goncalves, A, Peters, F, Matioda, H, Govender, S, Dos Santos, C, Essop, MR, Kuznetsov, V A, Yaroslavskaya, E I, Pushkarev, G S, Krinochkin, D V, Kolunin, G V, Bennadji, A, Hascoet, S, Dulac, Y, Hadeed, K, Peyre, M, Ricco, L, Clement, L, Acar, P, Ding, WH, Zhao, Y, Lindqvist, P, Nilson, J, Winter, R, Holmgren, A, Ruck, A, Henein, MY, Illatopa, V, Cordova, F, Espinoza, D, Ortega, J, Cavalcante, JL, Patel, MT, Katz, W, Schindler, J, Crock, F, Khanna, MK, Khandhar, S, Tsuruta, H, Kohsaka, S, Murata, M, Yasuda, R, Tokuda, H, Kawamura, A, Maekawa, Y, Hayashida, K, Fukuda, K, Le Tourneau, T, Kyndt, F, Lecointe, S, Duval, D, Rimbert, A, Merot, J, Trochu, JN, Probst, V, Le Marec, H, Schott, JJ, Veronesi, F, Addetia, K, Corsi, C, Lamberti, C, Lang, RM, Mor-Avi, V, Gjerdalen, G F, Hisdal, J, Solberg, EE, Andersen, TE, Radunovic, Z, Steine, K, Maffessanti, F, Gripari, P, Tamborini, G, Muratori, M, Fusini, L, Ferrari, C, Caiani, EG, Alamanni, F, Bartorelli, AL, Pepi, M, Dascenzi, F, Cameli, M, Iadanza, A, Lisi, M, Reccia, R, Curci, V, Sinicropi, G, Henein, M, Pierli, C, Mondillo, S, Rekhraj, S, Hoole, SP, Mcnab, DC, Densem, CG, Boyd, J, Parker, K, Shapiro, LM, Rana, BS, Kotrc, M, Vandendriessche, T, Bartunek, J, Claeys, MJ, Vanderheyden, M, Paelinck, B, De Bock, D, De Maeyer, C, Vrints, C, Penicka, M, Silveira, C, Albuquerque, ESA, Lamprea, DL, Larangeiras, VL, Moreira, CRPM, Victor Filho, MVF, Alencar, BMA, Silveira, AQMS, Castillo, JMDC, Zambon, E, Iorio, A, Carriere, C, Pantano, A, Barbati, G, Bobbo, M, Abate, E, Pinamonti, B, Di Lenarda, A, Sinagra, G, Salemi, V M C, Tavares, L, Ferreira Filho, JCA, Oliveira, AM, Pessoa, FG, Ramires, F, Fernandes, F, Mady, C, Cavarretta, E, Lotrionte, M, Abbate, A, Mezzaroma, E, De Marco, E, Peruzzi, M, Loperfido, F, Biondi-Zoccai, G, Frati, G, Palazzoni, G, Park, T-H, Lee, J-E, Lee, D-H, Park, J-S, Park, K, Kim, M-H, Kim, Y-D, Van T Sant, J, Gathier, WA, Leenders, GE, Meine, M, Doevendans, PA, Cramer, MJ, Poyhonen, P, Kivisto, S, Holmstrom, M, Hanninen, H, Schnell, F, Betancur, J, Daudin, M, Simon, A, Carre, F, Tavard, F, Hernandez, A, Garreau, M, Donal, E, Calore, C, Muraru, D, Badano, LP, Melacini, P, Mihaila, S, Denas, G, Naso, P, Casablanca, S, Santi, F, Iliceto, S, Aggeli, C, Venieri, E, Felekos, I, Anastasakis, A, Ritsatos, K, Kakiouzi, V, Kastellanos, S, Cutajar, I, Stefanadis, C, Palecek, T, Honzikova, J, Poupetova, H, Vlaskova, H, Kuchynka, P, Linhart, A, Elmasry, O, Mohamed, MH, Elguindy, WM, Bishara, PNI, Garcia-Gonzalez, P, Cozar-Santiago, P, Bochard-Villanueva, B, Fabregat-Andres, O, Cubillos-Arango, A, Valle-Munoz, A, Ferrer-Rebolleda, J, Paya-Serrano, R, Estornell-Erill, J, Ridocci-Soriano, F, Jensen, M, Havndrup, O, Christiansen, M, Andersen, PS, Axelsson, A, Kober, L, Bundgaard, H, Karapinar, H, Kaya, A, Uysal, EB, Guven, AS, Kucukdurmaz, Z, Oflaz, MB, Deveci, K, Sancakdar, E, Gul, I, Yilmaz, A, Tigen, M K, Karaahmet, T, Dundar, C, Yalcinsoy, M, Tasar, O, Bulut, M, Takir, M, Akkaya, E, Jedrzejewska, I, Braksator, W, Krol, W, Swiatowiec, A, Dluzniewski, M, Lipari, P, Bonapace, S, Zenari, L, Valbusa, F, Rossi, A, Lanzoni, L, Molon, G, Canali, G, Campopiano, E, Barbieri, E, Rueda Calle, E, Alfaro Rubio, F, Gomez Gonzalez, J, Gonzalez Santos, P, Cameli, M, Lisi, M, Focardi, M, Dascenzi, F, Solari, M, Galderisi, M, Mondillo, S, Pratali, L, Bruno, R M, Corciu, AI, Comassi, M, Passera, M, Gastaldelli, A, Mrakic-Sposta, S, Vezzoli, A, Picano, E, Perry, R, Penhall, A, De Pasquale, C, Selvanayagam, J, Joseph, M, Simova, I I, Katova, T M, Kostova, V, Hristova, K, Lalov, I, Dascenzi, F, Pelliccia, A, Natali, BM, Cameli, M, Alvino, F, Zorzi, A, Corrado, D, Bonifazi, M, Mondillo, S, Rees, E, Rakebrandt, F, Rees, DA, Halcox, JP, Fraser, AG, Odriscoll, J, Lau, N, Perez-Lopez, M, Sharma, R, Lichodziejewska, B, Goliszek, S, Kurnicka, K, Kostrubiec, M, Dzikowska Diduch, O, Krupa, M, Grudzka, K, Ciurzynski, M, Palczewski, P, Pruszczyk, P, Gheorghe, LL, Castillo Ortiz, J, Del Pozo Contreras, R, Calle Perez, G, Sancho Jaldon, M, Cabeza Lainez, P, Vazquez Garcia, R, Fernandez Garcia, P, Chueca Gonzalez, E, Arana Granados, R, Zhao, XX, Xu, XD, Bai, Y, Qin, YW, Leren, IS, Hasselberg, NE, Saberniak, J, Leren, TP, Edvardsen, T, Haugaa, KH, Daraban, A M, Sutherland, GR, Claus, P, Werner, B, Gewillig, M, Voigt, JU, Santoro, A, Ierano, P, De Stefano, F, Esposito, R, De Palma, D, Ippolito, R, Tufano, A, Galderisi, M, Costa, R, Fischer, C, Rodrigues, A, Monaco, C, Lira Filho, E, Vieira, M, Cordovil, A, Oliveira, E, Mohry, S, Gaudron, P, Niemann, M, Herrmann, S, Strotmann, J, Beer, M, Hu, K, Bijnens, B, Ertl, G, Weidemann, F, Baktir, AO, Sarli, B, Cicek, M, Karakas, MS, Saglam, H, Arinc, H, Akil, MA, Kaya, H, Ertas, F, Bilik, MZ, Yildiz, A, Oylumlu, M, Acet, H, Aydin, M, Yuksel, M, Alan, S, Odriscoll, J, Gravina, A, Di Fino, S, Thompson, M, Karthigelasingham, A, Ray, K, Sharma, R, De Chiara, B, Russo, CF, Alloni, M, Belli, O, Spano, F, Botta, L, Palmieri, B, Martinelli, L, Giannattasio, C, Moreo, A, Mateescu, AD, La Carrubba, S, Vriz, O, Di Bello, V, Carerj, S, Zito, C, Ginghina, C, Popescu, BA, Nicolosi, GL, Antonini-Canterin, F, Malev, E, Omelchenko, M, Vasina, L, Luneva, E, Zemtsovsky, E, Cikes, M, Velagic, V, Gasparovic, H, Kopjar, T, Colak, Z, Hlupic, LJ, Biocina, B, Milicic, D, Tomaszewski, A, Kutarski, A, Poterala, M, Tomaszewski, M, Brzozowski, W, Kijima, Y, Akagi, T, Nakagawa, K, Ikeda, M, Watanabe, N, Ueoka, A, Takaya, Y, Oe, H, Toh, N, Ito, H, Bochard Villanueva, B, Paya-Serrano, R, Fabregat-Andres, O, Garcia-Gonzalez, P, Perez-Bosca, JL, Cubillos-Arango, A, Chacon-Hernandez, N, Higueras-Ortega, L, De La Espriella-Juan, R, Ridocci-Soriano, F, Noack, T, Mukherjee, C, Ionasec, RI, Voigt, I, Kiefer, P, Hoebartner, M, Misfeld, M, Mohr, F-W, Seeburger, J, Daraban, A M, Baltussen, L, Amzulescu, MS, Bogaert, J, Jassens, S, Voigt, JU, Duchateau, N, Giraldeau, G, Gabrielli, L, Penela, D, Evertz, R, Mont, L, Brugada, J, Berruezo, A, Bijnens, BH, Sitges, M, Yoshikawa, H, Suzuki, M, Hashimoto, G, Kusunose, Y, Otsuka, T, Nakamura, M, Sugi, K, Ruiz Ortiz, M, Mesa, D, Romo, E, Delgado, M, Seoane, T, Martin, M, Carrasco, F, Lopez Granados, A, Arizon, JM, Suarez De Lezo, J, Magalhaes, A, Cortez-Dias, N, Silva, D, Menezes, M, Saraiva, M, Santos, L, Costa, A, Costa, L, Nunes Diogo, A, Fiuza, M, Ren, B, De Groot-De Laat, LE, Mcghie, J, Vletter, WB, Geleijnse, ML, Toda, H, Oe, H, Osawa, K, Miyoshi, T, Ugawa, S, Toh, N, Nakamura, K, Kohno, K, Morita, H, Ito, H, El Ghannudi, S, Germain, P, Samet, H, Jeung, M, Roy, C, Gangi, A, Orii, M, Hirata, K, Yamano, T, Tanimoto, T, Ino, Y, Yamaguchi, T, Kubo, T, Imanishi, T, Akasaka, T, Sunbul, M, Kivrak, T, Oguz, M, Ozguven, S, Gungor, S, Dede, F, Turoglu, HT, Yildizeli, B, Mutlu, B, Mihaila, S, Muraru, D, Piasentini, E, Peluso, D, Cucchini, U, Casablanca, S, Naso, P, Iliceto, S, Vinereanu, D, Badano, LP, Rodriguez Munoz, DA, Moya Mur, JL, Becker Filho, D, Gonzalez, A, Casas Rojo, E, Garcia Martin, A, Recio Vazquez, M, Rincon, LM, Fernandez Golfin, C, Zamorano Gomez, JL, Ledakowicz-Polak, A, Polak, L, Zielinska, M, Kamiyama, T, Nakade, T, Nakamura, Y, Ando, T, Kirimura, M, Inoue, Y, Sasaki, O, Nishioka, T, Farouk, H, Sakr, B, Elchilali, K, Said, K, Sorour, K, Salah, H, Mahmoud, G, Casanova Rodriguez, C, Cano Carrizal, R, Iglesias Del Valle, D, Martin Penato Molina, A, Garcia Garcia, A, Prieto Moriche, E, Alvarez Rubio, J, De Juan Bagua, J, Tejero Romero, C, Plaza Perez, I, Korlou, P, Stefanidis, A, Mpikakis, N, Ikonomidis, I, Anastasiadis, S, Komninos, K, Nikoloudi, P, Margos, P, and Pentzeridis, P
- Abstract
Purpose: Atrial fibrillation (AF) is the most prevalent sustained arrhythmia. It is a disease of the elderly and it is common in patients (pts) with structural heart disease. Hypertension (HA), hypertensive heart disease (HHD), diabetes mellitus (DM), coronary artery disease (CAD), heart failure (HF), and valvular heart disease (VHD) are recognized predisposing factors to AF. Objectives: To echocardiographicly disclose the most common predisposing morbidities to AF in our population sample. Methods: From June 2000 to February 2013, 3755 consecutive pts with AF were studied during echocardiographic check-up. According to transthoracic echo, pts were divided in groups based on dominative underlying heart diseases. Electrocardiographically documented AF was subdivided in two groups: transitory and chronic. Transitory AF fulfilled criteria for paroxysmal or persistent AF. Chronic AF were cases of long-standing persistent or permanent AF. Results: The median age was 72 years, age range between 16 and 96 years. There were 51.4% of females. Chronic AF was observed in 68.3% pts. Distribution of underlying heart diseases is shown in figure. Lone AF was diagnosed in only 25 pts, mostly in younger males (median age 48 years, range 29–59, men 80%). Chronic AF was predominant in groups with advanced cardiac remodeling such as dilatative cardiomyopaty (DCM) and VHD, mostly in elderly. HA and DM were found in 75.4% and 18.8%, respectively. Almost 1/2 of pts with AF had HF and 59.2% had diastolic HF. Conclusion: Up to now, echocardiographic categorization of the predisposing factors to AF was not reported. Echocardiographic evaluation of patients with AF could facilitate in identification and well-timed treatment of predisposing comorbidites.
Figure Etiological distribution of AF - Published
- 2013
- Full Text
- View/download PDF
7. Multivendor comparison of global and regional 2D cardiovascular magnetic resonance feature tracking strains vs tissue tagging at 3T.
- Author
-
Militaru S, Panovsky R, Hanet V, Amzulescu MS, Langet H, Pisciotti MM, Pouleur AC, Vanoverschelde JJ, and Gerber BL
- Subjects
- Gadolinium, Humans, Magnetic Resonance Spectroscopy, Predictive Value of Tests, Reproducibility of Results, Ventricular Function, Left, Contrast Media, Magnetic Resonance Imaging, Cine
- Abstract
Background: Cardiovascular magnetic resonance (CMR) 2D feature tracking (FT) left ventricular (LV) myocardial strain has seen widespread use to characterize myocardial deformation. Yet, validation of CMR FT measurements remains scarce, particularly for regional strain. Therefore, we aimed to perform intervendor comparison of 3 different FT software against tagging., Methods: In 61 subjects (18 healthy subjects, 18 patients with chronic myocardial infarction, 15 with dilated cardiomyopathy, and 10 with LV hypertrophy due to hypertrophic cardiomyopathy or aortic stenosis) were prospectively compared global (G) and regional transmural peak-systolic Lagrangian longitudinal (LS), circumferential (CS) and radial strains (RS) by 3 FT software (cvi42, Segment, and Tomtec) among each other and with tagging at 3T. We also evaluated the ability of regional LS, CS, and RS by different FT software vs tagging to identify late gadolinium enhancement (LGE) in the 18 infarct patients., Results: GLS and GCS by all 3 software had an excellent agreement among each other (ICC = 0.94-0.98 for GLS and ICC = 0.96-0.98 for GCS respectively) and against tagging (ICC = 0.92-0.94 for GLS and ICC = 0.88-0.91 for GCS respectively), while GRS showed inconsistent agreement between vendors (ICC 0.10-0.81). For regional LS, the agreement was good (ICC = 0.68) between 2 vendors but less vs the 3
rd (ICC 0.50-0.59) and moderate to poor (ICC 0.44-0.47) between all three FT software and tagging. Also, for regional CS agreement between 2 software was higher (ICC = 0.80) than against the 3rd (ICC = 0.58-0.60), and both better agreed with tagging (ICC = 0.70-0.72) than the 3rd (ICC = 0.57). Regional RS had more variation in the agreement between methods ranging from good (ICC = 0.75) to poor (ICC = 0.05). Finally, the accuracy of scar detection by regional strains differed among the 3 FT software. While the accuracy of regional LS was similar, CS by one software was less accurate (AUC 0.68) than tagging (AUC 0.80, p < 0.006) and RS less accurate (AUC 0.578) than the other two (AUC 0.76 and 0.73, p < 0.02) to discriminate segments with LGE., Conclusions: We confirm good agreement of CMR FT and little intervendor difference for GLS and GCS evaluation, with variable agreement for GRS. For regional strain evaluation, intervendor difference was larger, especially for RS, and the diagnostic performance varied more substantially among different vendors for regional strain analysis.- Published
- 2021
- Full Text
- View/download PDF
8. Prognostic Value of Pulmonary Transit Time by Cardiac Magnetic Resonance on Mortality and Heart Failure Hospitalization in Patients With Advanced Heart Failure and Reduced Ejection Fraction.
- Author
-
Houard L, Amzulescu MS, Colin G, Langet H, Militaru S, Rousseau MF, Ahn SA, Vanoverschelde JJ, Pouleur AC, and Gerber BL
- Subjects
- Belgium epidemiology, Female, Follow-Up Studies, Heart Failure mortality, Heart Failure physiopathology, Humans, Male, Middle Aged, Predictive Value of Tests, Prognosis, Prospective Studies, Survival Rate trends, Heart Failure diagnosis, Hospitalization trends, Magnetic Resonance Imaging, Cine methods, Risk Assessment methods, Stroke Volume physiology, Ventricular Function, Left physiology, Ventricular Function, Right physiology
- Abstract
Background: Pulmonary transit time (PTT) from first-pass perfusion imaging is a novel parameter to evaluate hemodynamic congestion by cardiac magnetic resonance (cMR). We sought to evaluate the additional prognostic value of PTT in heart failure with reduced ejection fraction over other well-validated predictors of risk including the Meta-Analysis Global Group in Chronic Heart Failure risk score and ischemic cause., Methods: We prospectively followed 410 patients with chronic heart failure with reduced ejection fraction (61±13 years, left ventricular (LV) ejection fraction 24±7%) who underwent a clinical cMR to assess the prognostic value of PTT for a primary endpoint of overall mortality and secondary composite endpoint of cardiovascular death and heart failure hospitalization. Normal reference values of PTT were evaluated in a population of 40 asymptomatic volunteers free of cardiovascular disease. Results PTT was significantly increased in patients with heart failure with reduced ejection fraction as compared to controls (9±6 beats and 7±2 beats, respectively, P <0.001), and correlated not only with New York Heart Association class, cMR-LV and cMR-right ventricular (RV) volumes, cMR-RV and cMR-LV ejection fraction, and feature tracking global longitudinal strain, but also with cardiac output. Over 6-year median follow-up, 182 patients died and 200 reached the secondary endpoint. By multivariate Cox analysis, PTT was an independent and significant predictor of both endpoints after adjustment for Meta-Analysis Global Group in Chronic Heart Failure risk score and ischemic cause. Importantly in multivariable analysis, PTT in beats had significantly higher additional prognostic value to predict not only overall mortality (χ
2 to improve, 12.3; hazard ratio, 1.35 [95% CI, 1.16-1.58]; P <0.001) but also the secondary composite endpoints (χ2 to improve=20.1; hazard ratio, 1.23 [95% CI, 1.21-1.60]; P <0.001) than cMR-LV ejection fraction, cMR-RV ejection fraction, LV-feature tracking global longitudinal strain, or RV-feature tracking global longitudinal strain. Importantly, PTT was independent and complementary to both pulmonary artery pressure and reduced RV ejection fraction<42% to predict overall mortality and secondary combined endpoints., Conclusions: Despite limitations in temporal resolution, PTT derived from first-pass perfusion imaging provides higher and independent prognostic information in heart failure with reduced ejection fraction than clinical and other cMR parameters, including LV and RV ejection fraction or feature tracking global longitudinal strain. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT03969394.- Published
- 2021
- Full Text
- View/download PDF
9. Additional Prognostic Value of 2D Right Ventricular Speckle-Tracking Strain for Prediction of Survival in Heart Failure and Reduced Ejection Fraction: A Comparative Study With Cardiac Magnetic Resonance.
- Author
-
Houard L, Benaets MB, de Meester de Ravenstein C, Rousseau MF, Ahn SA, Amzulescu MS, Roy C, Slimani A, Vancraeynest D, Pasquet A, Vanoverschelde JJ, Pouleur AC, and Gerber BL
- Subjects
- Aged, Cause of Death, Female, Heart Failure mortality, Heart Failure physiopathology, Humans, Male, Middle Aged, Predictive Value of Tests, Prognosis, Registries, Retrospective Studies, Risk Assessment, Risk Factors, Time Factors, Echocardiography, Heart Failure diagnostic imaging, Magnetic Resonance Imaging, Cine, Stroke Volume, Ventricular Function, Left
- Abstract
Objectives: This study sought to compare the prognostic value of 2-dimensional (2D) right ventricular (RV) speckle tracking (STE) against cardiac magnetic resonance (CMR) RV ejection fraction (EF) and feature tracking (FT) and conventional echocardiographic parameters on overall and cardiovascular (CV) survival in patients with heart failure with reduced EF (HFrEF)., Background: Prior works showed that RV systolic function predicts prognosis in HFrEF. 2D RVSTE had recently been proposed as new echocardiographic method to evaluate RV dysfunction., Methods: A total of 266 patients with HFrEF (mean LVEF 23 ± 7%, 60 ± 14 years of age; 29% women) underwent RV function assessment using CMR and 2D echocardiography and were followed for a primary endpoint of overall death and secondary endpoint of CV death., Results: Average CMR-RVEF was 42 ± 15%, average STE RV global longitudinal strain (STE-RVGLS) was -18.0 ± 4.9%, and average CMR-FT-RVGLS was -11.8 ± 4.3%. After a median follow-up of 4.7 years, 102 patients died, 84 of a CV cause. RVEF, FT-RVGLS, tricuspid annulus plane systolic excursion (TAPSE), fractional area change (FAC), and STE-RVGLS were significant univariate predictors of overall and cardiac death. In multivariate Cox regression, age, ischemic etiology, diabetes, New York Heart Association functional class III to IV, and beta-blocker treatment were independent clinical predictors of overall mortality. CMR-RVEF (chi-square to enter = 3.9; p < 0.05), FT-RVGLS (chi-square to enter 3.7; p = 0.05), FAC (chi-square to enter 6.2; p = 0.02), and TAPSE (chi-square to enter = 4.1; p = 0.04) provided additional prognostic value over these baseline parameters, but the additional predictive value of STE-RVGLS (chi-square to enter = 10.8; p < 0.001) was significantly (p < 0.05) higher than the other tests. Additional hazard ratio to predict overall mortality was 2.5 (95% confidence interval [CI]: 1.6 to 3.9) for STE-RVGLS <-19%, 2.15 (95% CI: 1.34 to 3.43) for TAPSE >15 mm, 1.6 (95% CI: 1.02 to 2.49) for FAC >39%, 1.93 (95% CI: 1.25 to 2.99) for RVEF >41%, and 1.87 (95% CI: 1.10 to 3.19) for CMR-FT-RVGLS <-15%., Conclusions: 2D RVGLS provides strong additional prognostic value to predict overall and CV mortality in HFrEF, with higher predictive value than CMR-RVEF, CMR-FT-RVGLS, TAPSE, or FAC. This supports use of STE-RVGLS to identify higher-risk HFrEF patients., (Copyright © 2019 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)
- Published
- 2019
- Full Text
- View/download PDF
10. Meta-Analysis of the Prognostic Role of Late Gadolinium Enhancement and Global Systolic Impairment in Left Ventricular Noncompaction.
- Author
-
Grigoratos C, Barison A, Ivanov A, Andreini D, Amzulescu MS, Mazurkiewicz L, De Luca A, Grzybowski J, Masci PG, Marczak M, Heitner JF, Schwitter J, Gerber BL, Emdin M, and Aquaro GD
- Subjects
- Adult, Female, Fibrosis, Humans, Isolated Noncompaction of the Ventricular Myocardium mortality, Isolated Noncompaction of the Ventricular Myocardium physiopathology, Isolated Noncompaction of the Ventricular Myocardium therapy, Male, Middle Aged, Predictive Value of Tests, Prognosis, Risk Assessment, Risk Factors, Time Factors, Ventricular Dysfunction, Left mortality, Ventricular Dysfunction, Left physiopathology, Ventricular Dysfunction, Left therapy, Contrast Media administration & dosage, Isolated Noncompaction of the Ventricular Myocardium diagnostic imaging, Magnetic Resonance Imaging, Myocardium pathology, Ventricular Dysfunction, Left diagnostic imaging, Ventricular Function, Left, Ventricular Remodeling
- Abstract
Objectives: The objective of this meta-analysis was to assess the predictive value of late gadolinium enhancement (LGE) and global systolic impairment for future major adverse cardiovascular events in left ventricular noncompaction (LVNC)., Background: The prognosis of patients with LVNC, with and without left ventricular dysfunction and LGE, is still unclear., Methods: A systematic review of published research and a meta-analysis reporting a combined endpoint of hard (cardiac death, sudden cardiac death, appropriate defibrillator firing, resuscitated cardiac arrest, cardiac transplantation, assist device implantation) and minor (heart failure hospitalization and thromboembolic events) events was performed., Results: Four studies with 574 patients with LVNC and 677 with no LVNC and an average follow-up duration of 5.2 years were analyzed. In patients with LVNC, LGE was associated with the combined endpoint (pooled odds ratio: 4.9; 95% confidence interval: 1.63 to 14.6; p = 0.005) and cardiac death (pooled odds ratio: 9.8; 95% confidence interval: 2.44 to 39.5; p < 0.001). Preserved left ventricular systolic function was found in 183 patients with LVNC: 25 with positive LGE and 158 with negative LGE. In LVNC with preserved ejection fraction, positive LGE was associated with hard cardiac events (odds ratio: 6.1; 95% confidence interval: 2.1 to 17.5; p < 0.001). No hard cardiac events were recorded in patients with LVNC, preserved ejection fraction, and negative LGE., Conclusions: Patients with LVNC but without LGE have a better prognosis than those with LGE. When LGE is negative and global systolic function is preserved, no hard cardiac events are to be expected. Currently available criteria allow diagnosis of LVNC, but to further define the presence and prognostic significance of the disease, LGE and/or global systolic impairment must be considered for better risk stratification., (Copyright © 2019 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)
- Published
- 2019
- Full Text
- View/download PDF
11. Myocardial strain imaging: review of general principles, validation, and sources of discrepancies.
- Author
-
Amzulescu MS, De Craene M, Langet H, Pasquet A, Vancraeynest D, Pouleur AC, Vanoverschelde JL, and Gerber BL
- Subjects
- Cardiac Imaging Techniques, Female, Heart Diseases physiopathology, Humans, Male, Myocardial Contraction physiology, Reproducibility of Results, Software, Echocardiography, Three-Dimensional methods, Heart Diseases diagnostic imaging, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Cine methods, Stroke Volume physiology
- Abstract
Myocardial tissue tracking imaging techniques have been developed for a more accurate evaluation of myocardial deformation (i.e. strain), with the potential to overcome the limitations of ejection fraction (EF) and to contribute, incremental to EF, to the diagnosis and prognosis in cardiac diseases. While most of the deformation imaging techniques are based on the similar principles of detecting and tracking specific patterns within an image, there are intra- and inter-imaging modality inconsistencies limiting the wide clinical applicability of strain. In this review, we aimed to describe the particularities of the echocardiographic and cardiac magnetic resonance deformation techniques, in order to understand the discrepancies in strain measurement, focusing on the potential sources of variation: related to the software used to analyse the data, to the different physics of image acquisition and the different principles of 2D vs. 3D approaches. As strain measurements are not interchangeable, it is highly desirable to work with validated strain assessment tools, in order to derive information from evidence-based data. There is, however, a lack of solid validation of the current tissue tracking techniques, as only a few of the commercial deformation imaging softwares have been properly investigated. We have, therefore, addressed in this review the neglected issue of suboptimal validation of tissue tracking techniques, in order to advocate for this matter., (© The Author(s) 2019. Published by Oxford University Press on behalf of the European Society of Cardiology.)
- Published
- 2019
- Full Text
- View/download PDF
12. Regional Multi-View Learning for Cardiac Motion Analysis: Application to Identification of Dilated Cardiomyopathy Patients.
- Author
-
Puyol-Anton E, Ruijsink B, Gerber B, Amzulescu MS, Langet H, De Craene M, Schnabel JA, Piro P, and King AP
- Subjects
- Algorithms, Databases, Factual, Heart physiology, Humans, Magnetic Resonance Imaging, Movement physiology, Multimodal Imaging methods, Support Vector Machine, Ultrasonography, Cardiomyopathy, Dilated diagnostic imaging, Heart diagnostic imaging, Image Interpretation, Computer-Assisted methods, Machine Learning
- Abstract
Objective: The aim of this paper is to describe an automated diagnostic pipeline that uses as input only ultrasound (US) data, but is at the same time informed by a training database of multimodal magnetic resonance (MR) and US image data., Methods: We create a multimodal cardiac motion atlas from three-dimensional (3-D) MR and 3-D US data followed by multi-view machine learning algorithms to combine and extract the most meaningful cardiac descriptors for classification of dilated cardiomyopathy (DCM) patients using US data only. More specifically, we propose two algorithms based on multi-view linear discriminant analysis and multi-view Laplacian support vector machines (MvLapSVMs). Furthermore, a novel regional multi-view approach is proposed to exploit the regional relationships between the two modalities., Results: We evaluate our pipeline on the classification task of discriminating between normals and DCM patients. Results show that the use of multi-view classifiers together with a cardiac motion atlas results in a statistically significant improvement in accuracy compared to classification without the multimodal atlas. MvLapSVM was able to achieve the highest accuracy for both the global approach (92.71%) and the regional approach (94.32%)., Conclusion: Our work represents an important contribution to the understanding of cardiac motion, which is an important aid in the quantification of the contractility and function of the left ventricular myocardium., Significance: The intended workflow of the developed pipeline is to make use of the prior knowledge from the multimodal atlas to enable robust extraction of indicators from 3-D US images for detecting DCM patients.
- Published
- 2019
- Full Text
- View/download PDF
13. Improvements of Myocardial Deformation Assessment by Three-Dimensional Speckle-Tracking versus Two-Dimensional Speckle-Tracking Revealed by Cardiac Magnetic Resonance Tagging.
- Author
-
Amzulescu MS, Langet H, Saloux E, Manrique A, Slimani A, Allain P, Roy C, de Meester C, Pasquet A, Somphone O, De Craene M, Vancraeynest D, Pouleur AC, Vanoverschelde JL, and Gerber BL
- Subjects
- Belgium, Case-Control Studies, Echocardiography, Three-Dimensional, Female, France, Humans, Hypertrophy, Left Ventricular physiopathology, Male, Middle Aged, Myocardium, Prospective Studies, Reproducibility of Results, Ventricular Dysfunction, Left physiopathology, Echocardiography methods, Hypertrophy, Left Ventricular diagnostic imaging, Magnetic Resonance Imaging methods, Ventricular Dysfunction, Left diagnostic imaging
- Abstract
Background: In prior work, the authors demonstrated that two-dimensional speckle-tracking (2DST) correlated well but systematically overestimated global longitudinal strain (LS) and circumferential strain (CS) compared with two-dimensional cardiac magnetic resonance tagging (2DTagg) and had poor agreement on a segmental basis. Because three-dimensional speckle-tracking (3DST) has recently emerged as a new, more comprehensive evaluation of myocardial deformation, this study was undertaken to evaluate whether it would compare more favorably with 2DTagg than 2DST., Methods: In a prospective two-center trial, 119 subjects (29 healthy volunteers, 63 patients with left ventricular dysfunction, and 27 patients with left ventricular hypertrophy) underwent 2DST, 3DST, and 2DTagg. Global, regional (basal, mid, and apical), and segmental (18 and 16 segments per patient) LS and CS by 2DST and 3DST were compared with 2DTagg using intraclass correlation coefficients (ICCs) and Bland-Altman analysis. Test-retest reproducibility of 3DST and 2DST was compared in 48 other patients., Results: Both global LS and CS by 3DST agreed better with 2DTagg (ICC = 0.89 and ICC = 0.83, P < .001 for both; bias = 0.5 ± 2.3% and 0.2 ± 3%) than 2DST (ICC = 0.65 and ICC = 0.55, P < .001 for both; bias = -5.5 ± 2.5% and -7 ± 5.3%). Unlike 2DST, 3DST did not overestimate deformation at the regional and particularly the apical levels and at the segmental level had lower bias (LS, 0.8 ± 2.8% vs -5.3 ± 2.4%; CS, -0.01 ± 2.8% vs -7 ± 2.8%, respectively) but similar agreement with 2DST (LS: ICC = 0.58 ± 0.16 vs 0.56 ± 0.12; CS: ICC = 0.58 ± 0.12 vs 0.51 ± 0.1) with 2DTagg. Finally, 3DST had similar global LS, but better global CS test-retest variability than 2DST., Conclusions: Using 2DTagg as reference, 3DST had better agreement and less bias for global and regional LS and CS. At the segmental level, 3DST demonstrated comparable agreement but lower bias versus 2DTagg compared with 2DST. Also, test-retest variability for global CS by 3DST was better than by 2DST. This suggests that 3DST is superior to 2DST for analysis of global and regional myocardial deformation, but further refinement is needed for both 3DST and 2DST at the segmental level., (Copyright © 2018 American Society of Echocardiography. Published by Elsevier Inc. All rights reserved.)
- Published
- 2018
- Full Text
- View/download PDF
14. Head-to-Head Comparison of Global and Regional Two-Dimensional Speckle Tracking Strain Versus Cardiac Magnetic Resonance Tagging in a Multicenter Validation Study.
- Author
-
Amzulescu MS, Langet H, Saloux E, Manrique A, Boileau L, Slimani A, Allain P, Roy C, de Meester C, Pasquet A, De Craene M, Vancraeynest D, Pouleur AC, Vanoverschelde JJ, and Gerber BL
- Subjects
- Adult, Aged, Belgium, Biomechanical Phenomena, Case-Control Studies, Contrast Media administration & dosage, Echocardiography instrumentation, Female, France, Heart Diseases physiopathology, Humans, Image Interpretation, Computer-Assisted, Male, Middle Aged, Organometallic Compounds administration & dosage, Phantoms, Imaging, Predictive Value of Tests, Prospective Studies, Reproducibility of Results, Software Validation, Stress, Mechanical, Stroke Volume, Echocardiography methods, Heart Diseases diagnostic imaging, Magnetic Resonance Imaging, Cine instrumentation, Myocardial Contraction, Ventricular Function, Left
- Abstract
Background: Despite widespread use to characterize and refine prognosis, validation data of two-dimensional (2D) speckle tracking (2DST) echocardiography myocardial strain measurement remain scarce., Methods and Results: Global and regional subendocardial peak-systolic Lagrangian longitudinal (LS) and circumferential strain (CS) by 2DST and 2D-tagged (2DTagg) cardiac magnetic resonance imaging were compared against sonomicrometry in a dynamic heart phantom and among each other in 136 patients included prospectively at 2 centers. The ability of regional LS and CS 2DST and 2DTagg to identify late gadolinium enhancement was compared using receiver operating characteristics curves. In vitro, both LS-2DST and 2DTagg highly agreed with sonomicrometry (intraclass correlation coefficient [ICC], 0.89 and ICC, 0.90, both P <0.001 with -3±2.8% and 0.34±4.35% bias, respectively). In patients, both global LS and global CS 2DST agreed well with 2DTagg (ICC, 0.89 and ICC, 0.80; P <0.001); however, they provided systematically greater values (relative bias of -37±27% and -25±37% for global LS and global CS, respectively). On regional basis, however, ICC (from 0.17 to 0.81) and relative bias (from -9 to -98%) between 2DST and 2DTagg varied strongly among segments. Ability to discriminate infarcted versus noninfarcted segments by late gadolinium enhancement was similarly good for regional LS 2DTagg and 2DST (area under the curve, 0.66 versus 0.59; P =0.08), while it was lower for CS 2DST than 2DTagg (area under the curve, 0.61 versus 0.75; P <0.001)., Conclusions: The high accuracy against sonomicrometry and good agreement of global LS and global CS by 2DST and 2DTagg confirm the overall validity of 2DST strain measurement. Yet, higher intertechnique segmental variability and lower ability for detecting infarct suggest that 2DST strain estimates may be less performant on regional than on global basis., (© 2017 American Heart Association, Inc.)
- Published
- 2017
- Full Text
- View/download PDF
15. A multimodal spatiotemporal cardiac motion atlas from MR and ultrasound data.
- Author
-
Puyol-Antón E, Sinclair M, Gerber B, Amzulescu MS, Langet H, Craene M, Aljabar P, Piro P, and King AP
- Subjects
- Algorithms, Heart physiopathology, Heart Diseases diagnostic imaging, Humans, Reproducibility of Results, Sensitivity and Specificity, United States, Heart diagnostic imaging, Heart physiology, Magnetic Resonance Imaging methods, Movement, Multimodal Imaging methods, Spatio-Temporal Analysis, Ultrasonography methods
- Abstract
Cardiac motion atlases provide a space of reference in which the motions of a cohort of subjects can be directly compared. Motion atlases can be used to learn descriptors that are linked to different pathologies and which can subsequently be used for diagnosis. To date, all such atlases have been formed and applied using data from the same modality. In this work we propose a framework to build a multimodal cardiac motion atlas from 3D magnetic resonance (MR) and 3D ultrasound (US) data. Such an atlas will benefit from the complementary motion features derived from the two modalities, and furthermore, it could be applied in clinics to detect cardiovascular disease using US data alone. The processing pipeline for the formation of the multimodal motion atlas initially involves spatial and temporal normalisation of subjects' cardiac geometry and motion. This step was accomplished following a similar pipeline to that proposed for single modality atlas formation. The main novelty of this paper lies in the use of a multi-view algorithm to simultaneously reduce the dimensionality of both the MR and US derived motion data in order to find a common space between both modalities to model their variability. Three different dimensionality reduction algorithms were investigated: principal component analysis, canonical correlation analysis and partial least squares regression (PLS). A leave-one-out cross validation on a multimodal data set of 50 volunteers was employed to quantify the accuracy of the three algorithms. Results show that PLS resulted in the lowest errors, with a reconstruction error of less than 2.3 mm for MR-derived motion data, and less than 2.5 mm for US-derived motion data. In addition, 1000 subjects from the UK Biobank database were used to build a large scale monomodal data set for a systematic validation of the proposed algorithms. Our results demonstrate the feasibility of using US data alone to analyse cardiac function based on a multimodal motion atlas., (Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.)
- Published
- 2017
- Full Text
- View/download PDF
16. Is Right Ventricular Remodeling in Pulmonary Hypertension Dependent on Etiology? An Echocardiographic Study.
- Author
-
Giusca S, Popa E, Amzulescu MS, Ghiorghiu I, Coman IM, Popescu BA, Delcroix M, Voigt JU, Ginghina C, and Jurcut R
- Subjects
- Adult, Female, Humans, Hypertension, Pulmonary diagnostic imaging, Male, Middle Aged, Reproducibility of Results, Sensitivity and Specificity, Heart Septal Defects complications, Heart Septal Defects diagnostic imaging, Hypertension, Pulmonary etiology, Ventricular Dysfunction, Right complications, Ventricular Dysfunction, Right diagnostic imaging, Ventricular Remodeling
- Abstract
Aims: Survival in patients (pts) with pulmonary hypertension (PH) differs between subgroups at similar levels of pressure overload. We set to analyze right ventricular (RV) morphology and function in different types of PH using conventional and deformation imaging echocardiography., Material and Methods: Thirty-four pts with PH: 12 pts with idiopathic pulmonary arterial hypertension (IPAH, 42.2 ± 13 years), 11 pts with chronic thromboembolic PH (CTEPH, 50.8 ± 12 years), 11 pts with Eisenmenger syndrome [ES 41.2 ± 15 years, 4 with atrial septal defect (ASD) and 7 with ventricular septal defect (VSD)], and 13 age-matched healthy individuals (38.1 ± 15 years) were evaluated. The following echocardiographic parameters were measured: echo-derived systolic pulmonary pressure (sPAPecho), RV end-diastolic diameter (RVEDD), RV wall thickness (RVWT), TAPSE, RV fractional area change (RVFAC), Tei index, peak systolic velocity of the tricuspid ring (S't), and speckle tracking-derived RV free wall strain. Furthermore, right heart catheterization (RHC) was performed in pts with PH and mean, and systolic pulmonary artery pressure (mPAPcath, sPAPcath), cardiac output (CO), cardiac index (COi), and pulmonary vascular resistance (PVR) were noted., Results: The levels of mPAPcath and sPAPcath were similar between pts with PH (pANOVA = NS). Patients with ES had higher COi compared to other groups (2.94 ± 0.79, 2.28 ± 0.69, and 1.74 ± 0.46 L/min/m(2) for pts with ES, IPAH, and CTEPH respectively, pANOVA = 0.004, P post hoc ES versus all other groups < 0.05). TAPSE, Tei index, and S't were similar between groups and impaired versus controls (pANOVA < 0.001, P post hoc between groups of patients = NS). Patients with ES had better RVFAC (41.1 ± 9, 30.5 ± 10.8, 23.2 ± 9.8%) and RV free wall strain (-20.6 ± 3.5, -16.3 ± 7.5, -10.8 ± 5%), as well as an increased thickness of the RV free wall compared to other groups of patients (9.2 ± 1.5, 7.2 ± 1 and 7.2 ± 1.6 mm for pts with ES, IPAH and CTEPH, respectively) (pANOVA<0.001, P post hoc <0.05 ES versus all other groups). RVFAC and RV free wall strain significantly correlated with COi (r = 0.53, P = 0.006 and r = -0.77, P < 0.001, respectively)., Conclusion: Patients with ES have a more hypertrophied RV free wall, better RV performance as assessed by RVFAC and RV free wall strain and increased COi compared to other types of PH. Furthermore, RV performance appears to be less dependent on the level of pressure overload. These findings could contribute to the better survival profile of patients with ES., (© 2015, Wiley Periodicals, Inc.)
- Published
- 2016
- Full Text
- View/download PDF
17. Prognostic Impact of Hypertrabeculation and Noncompaction Phenotype in Dilated Cardiomyopathy: A CMR Study.
- Author
-
Amzulescu MS, Rousseau MF, Ahn SA, Boileau L, de Meester de Ravenstein C, Vancraeynest D, Pasquet A, Vanoverschelde JL, Pouleur AC, and Gerber BL
- Subjects
- Cardiomyopathy, Dilated mortality, Cardiomyopathy, Dilated pathology, Echocardiography, Female, Follow-Up Studies, Heart Defects, Congenital pathology, Heart Ventricles pathology, Humans, Male, Middle Aged, Phenotype, Prognosis, Prospective Studies, Cardiomyopathy, Dilated physiopathology, Magnetic Resonance Imaging
- Abstract
Objectives: The purpose of this study was to evaluate the impact of hypertrabeculation and left ventricular (LV) myocardial noncompaction phenotype by cardiac magnetic resonance (CMR) on outcomes of patients with nonischemic dilated cardiomyopathy (DCM)., Background: Myocardial trabeculations and noncompaction are increasingly observed in patients with DCM, but their prognostic impact remains unknown., Methods: We prospectively evaluated outcomes of 162 consecutive patients (102 men; age 55 ± 15 years; ejection fraction [EF] 25 ± 8%) with DCM undergoing CMR. The amount of noncompaction was quantified as noncompacted/compacted (NC/C) length in the long-axis view and as the ratio of NC/C mass in the short-axis view and compared against 48 healthy control subjects (age 60 ± 10 years)., Results: Fifty-eight DCM patients (36%) had NC/C length ≥2.3, and 71 (44%) had NC/C mass greater than the 95% confidence interval (CI) of control subjects. NC/C length and NC/C mass did not correlate with any clinical, echocardiographic, or CMR parameters. Over a 3.4-year median follow-up, 29 patients experienced major adverse cardiovascular events (MACE) (12 cardiovascular deaths, 8 heart transplantations, 4 LV assist device implantations, and 5 resuscitated cardiac arrests or appropriate device shocks). Cox univariate analysis identified smoking, New York Heart Association functional class, blood pressure, LV and right ventricular end-diastolic and end-systolic volumes, LV EF, right ventricular EF, and late gadolinium enhancement as predictors of MACE. In multivariate analysis, only LV EF and late gadolinium enhancement were independent predictors of MACE-free survival (hazard ratio: 0.922, 95% CI: 0.878 to 0.967, p = 0.001 and HR: 1.096, 95% CI: 1.004 to 1.197, p = 0.04, respectively). Neither NC/C length nor NC/C mass had significant predictive value for MACE-free survival, either unadjusted or after adjustment for baseline variables. Also, there was no difference in cardioembolic event rate between groups with high and low NC/C length or mass., Conclusions: Cardiovascular outcomes of adult patients with nonischemic DCM do not appear to be influenced by the degree of trabeculation. This argues against a noncompaction phenotype designating a more severe form of DCM., (Copyright © 2015 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)
- Published
- 2015
- Full Text
- View/download PDF
18. Quantifying subtle changes in cardiovascular mechanics in acromegaly: a Doppler myocardial imaging study.
- Author
-
Jurcut R, Găloiu S, Florian A, Vlădaia A, Ioniţă OR, Amzulescu MS, Baciu I, Popescu BA, Coculescu M, and Ginghina C
- Subjects
- Acromegaly epidemiology, Acromegaly physiopathology, Adult, Cardiomyopathies epidemiology, Cardiomyopathies physiopathology, Female, Humans, Male, Middle Aged, Prospective Studies, Ventricular Dysfunction, Left epidemiology, Ventricular Dysfunction, Left physiopathology, Acromegaly diagnostic imaging, Cardiomyopathies diagnostic imaging, Echocardiography, Doppler, Ventricular Dysfunction, Left diagnostic imaging
- Abstract
Aim of the Study: To describe morphological and functional cardiovascular changes in acromegaly (ACM) patients, as well as to investigate the ability of Doppler-based myocardial deformation imaging (DMI) to characterize subtle dysfunction in ACM., Methods: 69 patients (pts) with ACM (mean age 47 ± 10 years, 27 men) and 31 controls (mean age 43 ± 16 years, matched for age and gender) were recruited. Standard echocardiography and DMI data were obtained for all patients. Peak systolic longitudinal strain values (S) were determined for the left and right ventricles. Radial S was measured at the level of the mid inferolateral segment. Using a high-resolution echo-tracking system, the main indices of arterial stiffness were measured., Results: Of the ACM subjects, 57 had active disease (group A), and 12 controlled ACM (group B). All pts with ACM presented structural changes: a higher LV indexed mass (112 ± 36, 118 ± 23 vs 74 ± 18 g/m(2), p < 0.001) and a higher relative wall thickness (0.45 ± 0.09, 0.50 ± 0.07 vs 0.40 ± 0.07, p = 0.003) compared to controls. Also, ACM pts had functional changes: reduced LV ejection fraction (57 ± 5, 55 ± 5 vs 64 ± 4%, p < 0.001) and altered diastolic function (E/A 1.0 ± 0.4, 1.1 ± 0.1 vs 1.3 ± 0.3, p = 0.005) compared to controls. Both longitudinal and radial LV S values were lower in ACM compared to controls: -16.5 ± 3.5, -16.8 ± 4.3 vs -21.5 ± 3.8%, p < 0.001 for longitudinal and 38.3 ± 12.3, 35.6 ± 11.8 vs 52.2 ± 11.7%, p = 0.002 for radial strain., Conclusions: ACM pts present LV concentric hypertrophy and LV systolic and diastolic dysfunction, even in controlled disease. Altered global LV systolic function appears to be due both to longitudinal and radial dysfunction.
- Published
- 2014
- Full Text
- View/download PDF
19. Does two-dimensional image reconstruction from three-dimensional full volume echocardiography improve the assessment of left ventricular morphology and function?
- Author
-
Amzulescu MS, Slavich M, Florian A, Goetschalckx K, and Voigt JU
- Subjects
- Adult, Aged, Female, Humans, Image Enhancement methods, Male, Middle Aged, Reproducibility of Results, Sensitivity and Specificity, Algorithms, Echocardiography methods, Echocardiography, Three-Dimensional methods, Image Interpretation, Computer-Assisted methods, Ventricular Dysfunction, Left diagnostic imaging
- Abstract
Aims: (i) To investigate geometric differences between apical views of the left ventricle (LV) derived from standard 2D echocardiography (std2D) and triplane (TP) views, as well as the "ideally" reconstructed 2D (rec2D) views derived from 3D full volume (3DFV) acquisitions, and their influence on the assessment of LV morphology and function. (ii) To determine the feasibility and accuracy of the automatic reconstruction of 2D apical views from 3DFV datasets., Methods and Results: In 59 patients with structurally normal, dilated, and hypertrophic hearts, rec2D was reconstructed manually and automatically and compared to std2D, TP, and 3DFV regarding the image plane orientation (true vs. ideal probe position, plane intersection angles), LV dimensions, volumes, and EF. The ideal probe position deviated from the true one by 6.9 ± 4.1 mm and 9.5 ± 4.5 mm, for manually and automatically rec2D, respectively, regardless of LV geometry. The mean difference ± SD between manual and automatic reconstruction was -2.5 ± 4.4 mm. LV long axis was measured minimally, but significantly longer in rec2D than std2D and TP. LV volumes and EF did not differ between methods. The intersection angle of the two-chamber view and the three-chamber view with the four-chamber view for manual and automatic reconstruction was 53° ± 7° and 129° ± 7° and 60° and 130°, respectively., Conclusion: Ideal reconstruction of nonforeshortened 2D images from 3DFV does not lead to a relevant improvement in image geometry or the assessment of LV morphology and function. The automatic reconstruction algorithm deviates only slightly from manual results., (© 2012, Wiley Periodicals, Inc.)
- Published
- 2013
- Full Text
- View/download PDF
20. How to optimize intracardiac blood flow tracking by echocardiographic particle image velocimetry? Exploring the influence of data acquisition using computer-generated data sets.
- Author
-
Gao H, Claus P, Amzulescu MS, Stankovic I, D'hooge J, and Voigt JU
- Subjects
- Analysis of Variance, Contrast Media, Humans, Image Enhancement methods, Image Interpretation, Computer-Assisted methods, Microbubbles, Software, Blood Flow Velocity physiology, Echocardiography, Three-Dimensional methods, Heart Ventricles diagnostic imaging, Rheology methods
- Abstract
Aims: Echocardiographic particle image velocimetry (EPIV) has been used for tracking contrast-enhanced intracavitary blood flow. Little is known, however, how basic imaging parameters (line density, frame rate, contrast bubble density) affect the quality of such tracking results. Our study aimed at investigating this by using simulated echo data sets., Methods and Results: A computational three-dimensional (3D) blood flow field of the left ventricle (LV) was built using Fluent 12.1 (ANSYS Inc., USA). Then, the 3D motion of contrast microbubbles was simulated and 2D B-mode image loops were obtained (f = 4.5 MHz; 50 sector angle) and analysed using flow tracking software (Omega Flow, Siemens, USA). Vorticity and the resulting in-plane velocity vector field was calculated at different frame rates (227, 113, 76, and 57 fps) and bubble densities (100, 63, 36, 19, 10, and 3 bubbles/mL) and compared with the ground truth known from the computational LV flow model. The normal distribution of the amplitude error and angle error histograms confirmed the overall good performance of the tracking method. In the standard deviation analysis of error histograms, tracked velocity amplitudes correlated best with the ground truth at 10 bubbles/mL and 227 fps (45.81 ± 3.43%, P < 0.05), while the best performance of flow direction estimates was at 10 bubbles/mL and 76 fps (25.41 ± 1.22°, P < 0.05). The correlation of estimated and true vorticity tended to grow with increasing frame rate and was optimal at 19 bubbles/mL and 113 fps (r = 0.79 ± 0.02)., Conclusion: To achieve accurate vorticity measurements, frame rate acquisitions as 113 fps and contrast bubble density of 19 bubbles/mL are needed.
- Published
- 2012
- Full Text
- View/download PDF
21. Different patterns of adaptation of the right ventricle to pressure overload: a comparison between pulmonary hypertension and pulmonary stenosis.
- Author
-
Jurcut R, Giusca S, Ticulescu R, Popa E, Amzulescu MS, Ghiorghiu I, Coman IM, Popescu BA, Voigt JU, and Ginghina C
- Subjects
- Adult, Diagnosis, Differential, Disease Progression, Echocardiography, Doppler, Female, Heart Ventricles physiopathology, Humans, Hypertension, Pulmonary complications, Hypertension, Pulmonary diagnostic imaging, Hypertrophy, Right Ventricular diagnostic imaging, Hypertrophy, Right Ventricular etiology, Male, Myocardial Contraction, Pulmonary Valve Stenosis complications, Pulmonary Valve Stenosis diagnostic imaging, Adaptation, Physiological, Heart Ventricles diagnostic imaging, Hypertension, Pulmonary physiopathology, Hypertrophy, Right Ventricular physiopathology, Pulmonary Valve Stenosis physiopathology, Ventricular Function, Right physiology, Ventricular Pressure physiology
- Abstract
Background: The study was designed to compare RV morphological and functional parameters derived from conventional and myocardial deformation echocardiography in two instances of right heart pressure overload: pulmonary arterial hypertension (PAH) and pulmonary stenosis (PS)., Methods: Sixty-two individuals were included: 22 patients with pulmonary arterial hypertension (PAH), 19 patients with PS and 21 healthy individuals who served as a control group. All patients had clinical evaluation with 6-minute walking test, standard and two-dimensional strain echocardiography and B-type natriuretic peptide evaluation., Results: At similar levels of pressure overload (RV systolic pressure, 88.2 ± 31.5 vs 73.4 ± 34.9 mm Hg; P = NS) the right ventricles of patients with PS were less dilated (RV end-diastolic diameter, 31.7 ± 3.7 vs 43.7 ± 10.5 mm; P < .001) and performed significantly better than those of patients with PAH (RV strain, -27.4 ± 5.8% vs 16.2 ± 7.9%; RV fractional area change, 51.1 ± 9.2% vs 29.1 ± 11.3%; P < .001). Although some of the RV functional parameters were comparable with those in healthy individuals, strain rate showed lower values, suggesting subclinical longitudinal dysfunction in patients with PS. Myocardial stress biomarkers were correlated with RV systolic pressure only in patients with PAH (r = 0.64, P = .03), not in those with PS (r = 0.22, P = .50)., Conclusions: At similar levels of pressure overload, the right ventricle is less dilated and performs better in patients with PS compared with those with PAH.
- Published
- 2011
- Full Text
- View/download PDF
22. Coarctation of the aorta in adults: what is the best treatment? Case report and literature review.
- Author
-
Jurcut R, Daraban AM, Lorber A, Deleanu D, Amzulescu MS, Zara C, Popescu BA, and Ginghina C
- Subjects
- Adult, Aortic Coarctation complications, Aortic Coarctation diagnostic imaging, Echocardiography, Doppler, Female, Humans, Hypertrophy, Left Ventricular complications, Hypertrophy, Left Ventricular diagnostic imaging, Middle Aged, Radiography, Thoracic, Stents, Tomography, X-Ray Computed, Aortic Coarctation therapy
- Abstract
Coarctation of the aorta is a congenital cardiac malformation that can go undiagnosed until old age with only hypertension as a marker of its presence because clinical signs can be subtle and overlooked if a complete physical exam is not performed. We report the case of a 45 year-old women, diagnosed with severe coarctation of the aorta just distal to the left subclavian artery, with poststenotic dilatation of the descending aorta and difficult control of blood pressure values. The patient was successfully treated interventionally, by balloon angioplasty with deployment of a covered stent. We review here the different methods employed for the treatment of coarctation of the aorta in adults, including surgical or percutaneous balloon angioplasty with or without stent placement, underlying their complications and the factors that influence the choice of the best coarctation repair method.
- Published
- 2011
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.