Gabriella Romeo
University of Padua
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Featured researches published by Gabriella Romeo.
Circulation-cardiovascular Imaging | 2016
Denisa Muraru; Sebastian Onciul; Diletta Peluso; Nicola Soriani; Umberto Cucchini; Patrizia Aruta; Gabriella Romeo; Giacomo Cavalli; Sabino Iliceto; Luigi P. Badano
Background—Despite the fact that assessment of right ventricular longitudinal strain (RVLS) carries important implications for patient diagnosis, prognosis, and treatment, its implementation in clinical settings has been hampered by the limited reference values and the lack of uniformity in software, method, and definition used for measuring RVLS. Accordingly, this study was designed to establish (1) the reference values for RVLS by 2-dimensional speckle-tracking echocardiography; and (2) their relationship with demographic, hemodynamic, and cardiac factors. Methods and Results—In 276 healthy volunteers (55% women; age, 18–76 years), free wall and septum RVLS (6 segments) and free wall RVLS (3 segments) using both 6- and 3-segment regions of interest were obtained. Feasibility of 6-segment RVLS was 92%. Free wall RVLS from 3- versus 6-segment regions of interest had similar values, yet 6-segment region of interest was more feasible (86% versus 73%; P<0.001) and reproducible. Reference values (lower limits of normality) were as follows: 6-segment RVLS, −24.7±2.6% (−20.0%) for men and −26.7±3.1% (−20.3%) for women; 3-segment RVLS, −29.3±3.4% (−22.5%) for men and −31.6±4.0% (−23.3%) for women (P<0.001). Free wall RVLS was 5±2 strain units (%) larger in magnitude than 6-segment RVLS, 10±4% larger than septal RVLS, and 2±4% larger in women than in men (P<0.001). At multivariable analysis, age, sex, pulmonary systolic pressure, right atrial minimal volume, as well as right atrial and left ventricular longitudinal strain resulted as correlates of RVLS values. Conclusions—This is the largest study providing sex- and method-specific reference values for RVLS. Our data may foster the implementation of 2-dimensional speckle-tracking echocardiography–derived RV analysis in clinical practice.
Current Cardiology Reports | 2016
Elena Surkova; Denisa Muraru; Patrizia Aruta; Gabriella Romeo; Jurate Bidviene; Diana Cherata; Luigi P. Badano
Advances in ultrasound, computer, and electronics technology have permitted three-dimensional echocardiography (3DE) to become a clinically viable imaging modality, with significant impact on patient diagnosis, management, and outcome. Thanks to the inception of a fully sampled matrix transducer for transthoracic and transesophageal probes, 3DE now offers much faster and easier data acquisition, immediate display of anatomy, and the possibility of online quantitative analysis of cardiac chambers and heart valves. The clinical use of transthoracic 3DE has been primarily focused, albeit not exclusively, on the assessment of cardiac chamber volumes and function. Transesophageal 3DE has been applied mostly for assessing heart valve anatomy and function. The advantages of using 3DE to measure cardiac chamber volumes derive from the lack of geometric assumptions about their shape and the avoidance of the apical view foreshortening, which are the main shortcomings of volume calculations from two-dimensional echocardiographic views. Moreover, 3DE offers a unique realistic en face display of heart valves, congenital defects, and surrounding structures allowing a better appreciation of the dynamic functional anatomy of cardiac abnormalities in vivo. Offline quantitation of 3DE data sets has made significant contributions to our mechanistic understanding of normal and diseased heart valves, as well as of their alterations induced by surgical or interventional procedures. As reparative cardiac surgery and transcatheter procedures become more and more popular for treating structural heart disease, transesophageal 3DE has expanded its role as the premier technique for procedure planning, intra-procedural guidance, as well as for checking device function and potential complications after the procedure.
Europace | 2017
Elena Surkova; Luigi P. Badano; Roberto Bellu; Patrizia Aruta; Federica Sambugaro; Gabriella Romeo; Federico Migliore; Denisa Muraru
Left bundle branch block (LBBB) results in an altered pattern of left ventricular (LV) activation and subsequent contraction, causing remarkable changes in LV mechanics, perfusion and workload and ultimately leading to pathologic cardiac remodelling. Clinical and diagnostic notions about the LBBB phenomenon had evolved from just an electrocardiographic pattern to a critically important finding affecting diagnostic and clinical management of many patients and adversely influencing their outcomes. Recent advances in imaging techniques significantly improved the assessment of patients with LBBB and provided additional insights into pathophysiological mechanisms of LV remodelling. In the current review we summarized currently available data on the LBBB epidemiology, diagnosis, its impact on clinical management and prognosis, and the role and place of various imaging modalities in assessing cardiac mechanics and perfusion abnormalities, as well as their potential implications for diagnostic and treatment strategies.
Journal of the American College of Cardiology | 2016
Denisa Muraru; Federico Veronesi; Gabriella Romeo; Patrizia Aruta; Daniele Dequal; Sabino Iliceto; Luigi P. Badano
Tricuspid valve (TV) annulus sizing by 2D echo is inaccurate. 3D printed models of the mitral valve have been obtained from 3D transoesophageal (TOE) data. However, TOE is unsuitable for routine assessment of the TV. Thus, we explored the feasibility of using transthoracic 3D echo (3DTTE) data to
International Journal of Cardiology | 2015
Bruno Merlanti; Benedetta De Chiara; Aldo P. Maggioni; Antonella Moreo; Silvana Pileggi; Gabriella Romeo; Claudio Russo; Stefania Rizzo; Luigi Martinelli; Attilio Maseri
BACKGROUND/OBJECTIVES Bicuspid aortic valve (BAV) is the most common congenital heart disorder, affecting up to 2% of the population. Involvement of aortic root and ascending aorta (aneurysm or, eventually, dissection) is frequent in patients with pathologic or normal functioning BAV. Unfortunately, there are no well-known correlations between valvular and vascular diseases. In VAR protocol, with a new strategy of research, we analysemultiple aspects of BAV disease through correlation between surgical, echo, histologic and genetic findings in phenotypically homogeneous outlier cases. METHODS VAR protocol is a prospective, longitudinal, multicenter study. It observes 4 homogeneous small groups of BAV surgical patients (15 patients each): isolated aortic regurgitation, isolated ascending aortic aneurysm, aortic regurgitation associated with aortic aneurysm, isolated aortic stenosis in older patients (>60years). Echo analysis is extended to first-degree relatives and, in case of BAV, genetic test is performed. Patients and relatives are enrolled in 10 cardiac surgery/cardiologic centers throughout Italy. CONCLUSIONS The aim of the study is to identify predictors of favorable or unfavorable evolution of BAV in terms of valvular dysfunction and/or aortic aneurysm. Correlations between different features could help in identification of various BAV risk groups, rationalizing follow-up and treatment.
European Journal of Echocardiography | 2016
Denisa Muraru; Veronica Spadotto; Antonella Cecchetto; Gabriella Romeo; Patrizia Aruta; Davide Ermacora; Csaba Jenei; Umberto Cucchini; Sabino Iliceto; Luigi P. Badano
Journal of The American Society of Echocardiography | 2017
Denisa Muraru; Antonella Cecchetto; Umberto Cucchini; Xiao Zhou; Roberto M. Lang; Gabriella Romeo; Mani A. Vannan; Sorina Mihaila; Marcelo Haertel Miglioranza; Sabino Iliceto; Luigi P. Badano
European Journal of Echocardiography | 2015
Patrizia Aruta; Denisa Muraru; Csabia Jenei; Marcelo Haertel Miglioranza; Giacomo Cavalli; Gabriella Romeo; Diletta Peluso; Umberto Cucchini; Sabino Iliceto; Luigi P. Badano
Diseases | 2014
Diletta Peluso; Francesco Tona; Denisa Muraru; Gabriella Romeo; Umberto Cucchini; Martina Perazzolo Marra; Sabino Iliceto; Luigi P. Badano
Journal of the American College of Cardiology | 2016
Denisa Muraru; Patrizia Aruta; Csaba Jenei; Marcelo Miglioranza Haertel; Giacomo Cavalli; Gabriella Romeo; Sabino Iliceto; Luigi P. Badano