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1. 3D Farnebäck Optic Flow for Extended Field of View of Echocardiography

Author

Danudibroto, A., Gerard, O., Alessandrini, M., Mirea, O., D’hooge, J., Samset, E., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, van Assen, Hans, editor, Bovendeerd, Peter, editor, and Delhaas, Tammo, editor

Published
2015
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2. Mechanical dyssynchrony combined with septal scarring reliably identifies responders to cardiac resynchronization therapy

Author

Duchenne, J, primary, Larsen, C K, additional, Galli, E, additional, Aalen, J M, additional, Cvijic, M, additional, Klop, B, additional, Sirnes, P A, additional, Mirea, O, additional, Puvrez, A, additional, Penicka, M, additional, Hopp, E, additional, Bogaert, J, additional, Smiseth, O A, additional, Donal, E, additional, and Voigt, J U, additional

Published
2023
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3. Inter-vendor variability in strain measurements depends on software rather than image characteristics

Author

Unlu S., Mirea O., Bezy S., Duchenne J., Pagourelias E. D., Bogaert J., Thomas J. D., Badano L., Voigt J. -U., Hamilton J., Pedri S., Lysyansky P., Hansen G., Ito Y., Chono T., Vogel J., Prater D., Song J. H., Lee J. Y., Houle H., Georgescu B., Baumann R., Mumm B., Abe Y., Gorissen W., Unlu, S, Mirea, O, Bezy, S, Duchenne, J, Pagourelias, E, Bogaert, J, Thomas, J, Badano, L, Voigt, J, Hamilton, J, Pedri, S, Lysyansky, P, Hansen, G, Ito, Y, Chono, T, Vogel, J, Prater, D, Song, J, Lee, J, Houle, H, Georgescu, B, Baumann, R, Mumm, B, Abe, Y, and Gorissen, W

Subjects
Longitudinal strain, Vendor, Delayed enhancement, 030204 cardiovascular system & hematology, Strain, 030218 nuclear medicine & medical imaging, Image (mathematics), 03 medical and health sciences, 0302 clinical medicine, Software, Range (statistics), Medicine, Radiology, Nuclear Medicine and imaging, Variability, health care economics and organizations, Reproducibility, business.industry, Significant difference, Pattern recognition, MED/11 - MALATTIE DELL'APPARATO CARDIOVASCOLARE, Independent, Artificial intelligence, Cardiology and Cardiovascular Medicine, business
Abstract

Despite standardization efforts, vendors still use specific proprietary software algorithms for echocardiographic strain measurements, which result in high inter-vendor variability. Using vendor-independent software could be one solution. Little is known, however, how vendor specific image characteristics can influence tracking results of such software. We therefore investigated the reproducibility, accuracy, and scar detection ability of strain measurements on images from different vendors by using a vendor-independent software. A vendor-independent software (TomTec Image Arena) was used to analyse datasets of 63 patients which were obtained on machines from four different ultrasound machine vendors (GE, Philips, Siemens, Toshiba). We measured the tracking feasibility, inter-vendor bias, the relative test-re-test variability and scar discrimination ability of strain measurements. Cardiac magnetic resonance delayed enhancement images were used as the reference standard of scar definition. Tracking feasibility on vendor datasets were significantly different (p < 0.001). Variability of global longitudinal strain (GLS) measurements was similar among the vendors whereas variability of segmental longitudinal strain (SLS) showed modest difference. Relative test-re-test variability of GLS and SLS showed no relevant differences. No significant difference in scar detection capability was observed. Average GLS and SLS values were similar among vendors. Reproducibility of GLS measurements showed no difference among vendors and was in acceptable range. SLS reproducibility was high but similar for all vendors. No relevant difference was found for identifying regional dysfunction. Tracking feasibility showed a substantial difference among images from different vendors. Our findings demonstrate that tracking results depend mainly on the software used and show little influence from vendor specific image characteristics.

Published
2021
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6. Inter-vendor variability in strain measurements depends on software rather than image characteristics

Author

Unlu, S, Mirea, O, Bezy, S, Duchenne, J, Pagourelias, E, Bogaert, J, Thomas, J, Badano, L, Voigt, J, Hamilton, J, Pedri, S, Lysyansky, P, Hansen, G, Ito, Y, Chono, T, Vogel, J, Prater, D, Song, J, Lee, J, Houle, H, Georgescu, B, Baumann, R, Mumm, B, Abe, Y, Gorissen, W, Unlu S., Mirea O., Bezy S., Duchenne J., Pagourelias E. D., Bogaert J., Thomas J. D., Badano L., Voigt J. -U., Hamilton J., Pedri S., Lysyansky P., Hansen G., Ito Y., Chono T., Vogel J., Prater D., Song J. H., Lee J. Y., Houle H., Georgescu B., Baumann R., Mumm B., Abe Y., Gorissen W., Unlu, S, Mirea, O, Bezy, S, Duchenne, J, Pagourelias, E, Bogaert, J, Thomas, J, Badano, L, Voigt, J, Hamilton, J, Pedri, S, Lysyansky, P, Hansen, G, Ito, Y, Chono, T, Vogel, J, Prater, D, Song, J, Lee, J, Houle, H, Georgescu, B, Baumann, R, Mumm, B, Abe, Y, Gorissen, W, Unlu S., Mirea O., Bezy S., Duchenne J., Pagourelias E. D., Bogaert J., Thomas J. D., Badano L., Voigt J. -U., Hamilton J., Pedri S., Lysyansky P., Hansen G., Ito Y., Chono T., Vogel J., Prater D., Song J. H., Lee J. Y., Houle H., Georgescu B., Baumann R., Mumm B., Abe Y., and Gorissen W.

Abstract

Despite standardization efforts, vendors still use specific proprietary software algorithms for echocardiographic strain measurements, which result in high inter-vendor variability. Using vendor-independent software could be one solution. Little is known, however, how vendor specific image characteristics can influence tracking results of such software. We therefore investigated the reproducibility, accuracy, and scar detection ability of strain measurements on images from different vendors by using a vendor-independent software. A vendor-independent software (TomTec Image Arena) was used to analyse datasets of 63 patients which were obtained on machines from four different ultrasound machine vendors (GE, Philips, Siemens, Toshiba). We measured the tracking feasibility, inter-vendor bias, the relative test-re-test variability and scar discrimination ability of strain measurements. Cardiac magnetic resonance delayed enhancement images were used as the reference standard of scar definition. Tracking feasibility on vendor datasets were significantly different (p < 0.001). Variability of global longitudinal strain (GLS) measurements was similar among the vendors whereas variability of segmental longitudinal strain (SLS) showed modest difference. Relative test-re-test variability of GLS and SLS showed no relevant differences. No significant difference in scar detection capability was observed. Average GLS and SLS values were similar among vendors. Reproducibility of GLS measurements showed no difference among vendors and was in acceptable range. SLS reproducibility was high but similar for all vendors. No relevant difference was found for identifying regional dysfunction. Tracking feasibility showed a substantial difference among images from different vendors. Our findings demonstrate that tracking results depend mainly on the software used and show little influence from vendor specific image characteristics.

Published
2021

9. Layer-Specific Segmental Longitudinal Strain Measurements: Capability of Detecting Myocardial Scar and Differences in Feasibility, Accuracy, and Reproducibility, Among Four Vendors A Report From the EACVI-ASE Strain Standardization Task Force

Author

Unlu, S, Mirea, O, Pagourelias, E, Duchenne, J, Bezy, S, Bogaert, J, Thomas, J, Badano, L, Voigt, J, Unlu S., Mirea O., Pagourelias E. D., Duchenne J., Bezy S., Bogaert J., Thomas J. D., Badano L, Voigt J. -U., Unlu, S, Mirea, O, Pagourelias, E, Duchenne, J, Bezy, S, Bogaert, J, Thomas, J, Badano, L, Voigt, J, Unlu S., Mirea O., Pagourelias E. D., Duchenne J., Bezy S., Bogaert J., Thomas J. D., Badano L, and Voigt J. -U.

Abstract

Background: Segmental longitudinal strain (SLS)is reported to be vendor specific. Despite standardization efforts, vendors still use different myocardial layers for strain measurements. It is unclear, however, which layer is the most favorable for clinical purposes. Therefore, in this study we evaluated the reproducibility, accuracy, and scar detection ability of SLS measurements from different myocardial layers. Methods: In data sets of 58 patients with prior myocardial infarction and five healthy volunteers, we measured the intervendor bias, the relative test-retest variability, and scar discrimination ability of endocardial and midwall SLS, using software packages from four different companies (GE, Siemens, Toshiba, and TomTec). Cardiac magnetic resonance delayed enhancement images were used as the reference standard of scar definition. Results: Variability of SLS measurements was significant among the vendors for both midwall and endocardium. In addition, relative errors of SLS measurements varied considerably among vendors (P <.001 for both layers). Comparisons of test-retest errors from different layers for individual vendors did not show any significant differences. Regardless of the vendor, both endocardial and midwall strain values were decreased in scarred segments. Endocardial to midwall ratio of strain measurements showed no difference between scar-free and scarred segments. Endocardial and midwall strain parameters showed no significant difference in scar detection capability. Conclusions: Layer-specific SLS measurements vary significantly among vendors. Endocardial and midwall SLS measurements have a high yet comparable test-retest variability. Combining layer-specific SLS measurements does not provide additional information for detection of regional functional abnormalities. Our results do not provide evidence to favor the use of one myocardial layer over another.

Published
2019

10. The Significance of Right Ventricle in Young Subjects with Diabetes Mellitus Type 1. An echocardiographyic study

Author

BERCEANU, M, MIREA, O, TÂRTEA, GC, DONOIU, I, MILITARU, C, ISTRĂTOAIE, O, and SĂFTOIU, A

Subjects
Original Paper, Diabetes mellitus, speckle tracking, right ventricular dysfunction, diabetic cardiomiopathy
Abstract

Background. Diabetes mellitus type 1 (DM1) is associated with high risk for cardiovascular disease and early detection of myocardial dysfunction is very important for the prevention of cardiac complications. Although the functionality of right ventricule is important in a lot of disease affecting long time prognosis and progression, in diabetic type 1 patients has not been studied in depth yet. Objectives. To evaluate the right ventricular function by using both conventional echocardiography as well as speckle tracking echocardiography (STE) in young adults with diabetes mellitus type 1. Methods. We included 60 young asymptomatic adults diagnosed with diabetes mellitus type 1 (mean interval from diagnosis 9±6 years) and 90 healthy controls. Conventional and STE Echocardiography was acquired using the GE Vivid S60 equipment. The longitudinal right ventricular strain 6 segments (RV GLS global) and 3 segments (RVFW GLS) of right ventricle (RV GLSbazal, RV GLSmid, RV GLSapex) as well were obtained using the EchoPAC BT13 workstation. Results. No significant intergroup differences in EF were noted. Conventional echocardiographic parameters revealed lower tricuspid annular velocities Et, At and Et/At ratio compared to controls suggesting a diastolic disfunction in diabetes group. RV speckle tracking strain measurements showed no significant difference between the groups. Conclusions. Young adults with type 1 diabetes mellitus and without known heart disease have diastolic right ventricular dysfunction. The subclinical myocardial systolic function is preserved in early stages.

Published
2019

16. Variability and Reproducibility of Segmental Longitudinal Strain Measurement: A Report From the EACVI-ASE Strain Standardization Task Force

Author

Mirea, O, Pagourelias, E, Duchenne, J, Bogaert, J, Thomas, J, Badano, L, Voigt, J, Hamilton, J, Pedri, S, Lysyansky, P, Hansen, G, Ito, Y, Chono, T, Vogel, J, Prater, D, Park, S, Lee, J, Houle, H, Georgescu, B, Baumann, R, Mumm, B, Abe, Y, Gorissen, W, Mirea O., Pagourelias E. D., Duchenne J., Bogaert J., Thomas J. D., Badano L., Voigt J. -U., Hamilton J., Pedri S., Lysyansky P., Hansen G., Ito Y., Chono T., Vogel J., Prater D., Park S., Lee J. Y., Houle H., Georgescu B., Baumann R., Mumm B., Abe Y., Gorissen W., Mirea, O, Pagourelias, E, Duchenne, J, Bogaert, J, Thomas, J, Badano, L, Voigt, J, Hamilton, J, Pedri, S, Lysyansky, P, Hansen, G, Ito, Y, Chono, T, Vogel, J, Prater, D, Park, S, Lee, J, Houle, H, Georgescu, B, Baumann, R, Mumm, B, Abe, Y, Gorissen, W, Mirea O., Pagourelias E. D., Duchenne J., Bogaert J., Thomas J. D., Badano L., Voigt J. -U., Hamilton J., Pedri S., Lysyansky P., Hansen G., Ito Y., Chono T., Vogel J., Prater D., Park S., Lee J. Y., Houle H., Georgescu B., Baumann R., Mumm B., Abe Y., and Gorissen W.

Abstract

Objectives In this study, we compared left ventricular (LV) segmental strain measurements obtained with different ultrasound machines and post-processing software packages. Background Global longitudinal strain (GLS) has proven to be a reproducible and valuable tool in clinical practice. Data about the reproducibility and intervendor differences of segmental strain measurements, however, are missing. Methods We included 63 volunteers with cardiac magnetic resonance–proven infarct scar with segmental LV function ranging from normal to severely impaired. Each subject was examined within 2 h by a single expert sonographer with machines from multiple vendors. All 3 apical views were acquired twice to determine the test-retest and the intervendor variability. Segmental longitudinal peak systolic, end-systolic, and post-systolic strain were measured using 7 vendor-specific systems (Hitachi, Tokyo, Japan; Esaote, Florence, Italy; GE Vingmed Ultrasound, Horten, Norway; Philips, Andover, Massachusetts; Samsung, Seoul, South Korea; Siemens, Mountain View, California; and Toshiba, Otawara, Japan) and 2 independent software packages (Epsilon, Ann Arbor, Michigan; and TOMTEC, Unterschleissheim, Germany) and compared among vendors. Results Image quality and tracking feasibility differed among vendors (analysis of variance, p < 0.05). The absolute test-retest difference ranged from 2.5% to 4.9% for peak systolic, 2.6% to 5.0% for end-systolic, and 2.5% to 5.0% for post-systolic strain. The average segmental strain values varied significantly between vendors (up to 4.5%). Segmental strain parameters from each vendor correlated well with the mean of all vendors (r2 range 0.58 to 0.81) but showed very different ranges of values. Bias and limits of agreement were up to −4.6 ± 7.5%. Conclusions In contrast to GLS, LV segmental longitudinal strain measurements have a higher variability on top of the known intervendor bias. The fidelity of different software to follow segmental functi

Published
2018

17. Intervendor Differences in the Accuracy of Detecting Regional Functional Abnormalities: A Report From the EACVI-ASE Strain Standardization Task Force

Author

Mirea, O, Pagourelias, E, Duchenne, J, Bogaert, J, Thomas, J, Badano, L, Voigt, J, Hamilton, J, Pedri, S, Lysyansky, P, Hansen, G, Ito, Y, Chono, T, Vogel, J, Prater, D, Park, S, Lee, J, Houle, H, Georgescu, B, Baumann, R, Mumm, B, Abe, Y, Gorissen, W, Mirea O., Pagourelias E. D., Duchenne J., Bogaert J., Thomas J. D., Badano L., Voigt J. -U., Hamilton J., Pedri S., Lysyansky P., Hansen G., Ito Y., Chono T., Vogel J., Prater D., Park S., Lee J. Y., Houle H., Georgescu B., Baumann R., Mumm B., Abe Y., Gorissen W., Mirea, O, Pagourelias, E, Duchenne, J, Bogaert, J, Thomas, J, Badano, L, Voigt, J, Hamilton, J, Pedri, S, Lysyansky, P, Hansen, G, Ito, Y, Chono, T, Vogel, J, Prater, D, Park, S, Lee, J, Houle, H, Georgescu, B, Baumann, R, Mumm, B, Abe, Y, Gorissen, W, Mirea O., Pagourelias E. D., Duchenne J., Bogaert J., Thomas J. D., Badano L., Voigt J. -U., Hamilton J., Pedri S., Lysyansky P., Hansen G., Ito Y., Chono T., Vogel J., Prater D., Park S., Lee J. Y., Houle H., Georgescu B., Baumann R., Mumm B., Abe Y., and Gorissen W.

Abstract

Objectives The purpose of this study was to compare the accuracy of vendor-specific and independent strain analysis tools to detect regional myocardial function abnormality in a clinical setting. Background Speckle tracking echocardiography has been considered a promising tool for the quantitative assessment of regional myocardial function. However, the potential differences among speckle tracking software with regard to their accuracy in identifying regional abnormality has not been studied extensively. Methods Sixty-three subjects (5 healthy volunteers and 58 patients) were examined with 7 different ultrasound machines during 5 days. All patients had experienced a previous myocardial infarction, which was characterized by cardiac magnetic resonance with late gadolinium enhancement. Segmental peak systolic (PS), end-systolic (ES) and post-systolic strain (PSS) measurements were obtained with 6 vendor-specific software tools and 2 independent strain analysis tools. Strain parameters were compared between fully scarred and scar-free segments. Receiver-operating characteristic curves testing the ability of strain parameters and derived indexes to discriminate between these segments were compared among vendors. Results The average strain values calculated for normal segments ranged from −15.1% to −20.7% for PS, −14.9% to −20.6% for ES, and −16.1% to −21.4% for PSS. Significantly lower values of strain (p < 0.05) were found in segments with transmural scar by all vendors, with values ranging from −7.4% to −11.1% for PS, −7.7% to −10.8% for ES, and −10.5% to −14.3% for PSS. Accuracy in identifying transmural scar ranged from acceptable to excellent (area under the curve 0.74 to 0.83 for PS and ES and 0.70 to 0.78 for PSS). Significant differences were found among vendors (p < 0.05). All vendors had a significantly lower accuracy to detect scars in the basal segments compared with scars in the apex (p < 0.05). Conclusions The accuracy of identifying regional abno

Published
2018

18. Comparison of Feasibility, Accuracy, and Reproducibility of Layer-Specific Global Longitudinal Strain Measurements Among Five Different Vendors: A Report from the EACVI-ASE Strain Standardization Task Force

Author

Unlu, S, Mirea, O, Duchenne, J, Pagourelias, E, Bezy, S, Thomas, J, Badano, L, Voigt, J, Unlu S., Mirea O., Duchenne J., Pagourelias E. D., Bezy S., Thomas J. D., Badano L., Voigt J. -U., Unlu, S, Mirea, O, Duchenne, J, Pagourelias, E, Bezy, S, Thomas, J, Badano, L, Voigt, J, Unlu S., Mirea O., Duchenne J., Pagourelias E. D., Bezy S., Thomas J. D., Badano L., and Voigt J. -U.

Abstract

Background: Despite standardization efforts, vendors still use information from different myocardial layers to calculate global longitudinal strain ( GLS). Little is known about potential advantages or disadvantages of using these different layers in clinical practice. The authors therefore investigated the reproducibility and accuracy of GLS measurements from different myocardial layers.Methods: Sixty-three subjects were prospectively enrolled, in whom the intervendor bias and test-retest variability of endocardial GLS ( E-GLS) and midwall GLS ( M-GLS) were calculated, using software packages from five vendors that allow layer-specific GLS calculation ( GE, Hitachi, Siemens, Toshiba, and TomTec). The impact of tracking quality and the interdependence of strain values from different layers were assessed by comparing test-retest errors between layers.Results: For both E-GLS and M-GLS, significant bias was found among vendors. Relative test-retest variability of E-GLS values differed significantly among vendors, whereas M-GLS showed no significant difference ( range, 5.4%-9.5% [ P =.032] and 7.0%-11.2% [ P =.200], respectively). Within-vendor test-retest variability was similar between E-GLS and M-GLS for all but one vendor. Absolute test-retest errors were highly correlated between E-GLS and M-GLS for all vendors.Conclusions: E-GLS and M-GLS measurements showed no relevant differences in robustness among vendors, although intervendor bias was higher for M-GLS compared with E-GLS. These data provide no technical argument in favor of a certain myocardial layer for global left ventricular functional assessment. Currently, the choice of which layer to use should therefore be based on the available clinical evidence in the literature. ( J Am Soc Echocardiogr 2018; 31: 374-80.)

Published
2018

19. Impact of apical foreshortening on deformation measurements: a report from the EACVI-ASE Strain Standardization Task Force

Author

Ünlü, S, Duchenne, J, Mirea, O, Pagourelias, E, Bézy, S, Cvijic, M, Beela, A, Thomas, J, Badano, L, Voigt, J, Ünlü, Serkan, Duchenne, Jürgen, Mirea, Oana, Pagourelias, Efstathios D, Bézy, Stéphanie, Cvijic, Marta, Beela, Ahmed Salem, Thomas, James D, Badano, Luigi, Voigt, Jens-Uwe, Ünlü, S, Duchenne, J, Mirea, O, Pagourelias, E, Bézy, S, Cvijic, M, Beela, A, Thomas, J, Badano, L, Voigt, J, Ünlü, Serkan, Duchenne, Jürgen, Mirea, Oana, Pagourelias, Efstathios D, Bézy, Stéphanie, Cvijic, Marta, Beela, Ahmed Salem, Thomas, James D, Badano, Luigi, and Voigt, Jens-Uwe

Abstract

AIMS: Foreshortening of apical views is a common problem in echocardiography. It results in an abnormally thick false apex and a shortened left ventricular (LV) long axis. We sought to evaluate the impact of foreshortened (FS) on LV ejection fraction (LVEF) and layer-specific 2D speckle tracking based segmental (S) and global (G) longitudinal strain (LS) measurements. METHODS AND RESULTS: We examined 72 participants using a GE Vivid E9 system. FS apical views were collected from an imaging window one rib-space higher than the optimal images. Ejection fraction as well as layer-specific GLS and SLS measurements were analysed by GE EchoPAC v201 and TomTec Image Arena 4.6 and compared between optimal and FS images. On average, LV long axis was 10% shorter in FS images than in optimal images. FS induced a relative change in LVEF of 3.3% and 6.9% for GE and TomTec, respectively (both, P < 0.001). Endocardial GLS was 9.0% higher with GE and 23.2% with TomTec (P < 0.001). Midwall GLS measurements were less affected (7.8% for GE and 14.1% for TomTec, respectively, both P < 0.001). Segmental strain analysis revealed that the mid-ventricular and apical segments were more affected by foreshortening, and endocardial measurements were more affected than midwall. CONCLUSION: Optimal image geometry is crucial for accurate LV function assessment. Foreshorhening of apical views has a substantial impact on longitudinal strain measurements, predominantly in the apex and in the endocardial layer. Our data suggest that measuring midwall strain might therefore be the more robust approach for clinical routine use. Published on behalf of the European Society of Cardiology. All rights reserved.

Published
2020

26. Variability and Reproducibility of Segmental Longitudinal Strain Measurement: A Report From the EACVI-ASE Strain Standardization Task Force

Author

Mirea O., Pagourelias E. D., Duchenne J., Bogaert J., Thomas J. D., Badano L., Voigt J. -U., Hamilton J., Pedri S., Lysyansky P., Hansen G., Ito Y., Chono T., Vogel J., Prater D., Park S., Lee J. Y., Houle H., Georgescu B., Baumann R., Mumm B., Abe Y., Gorissen W., Mirea, O, Pagourelias, E, Duchenne, J, Bogaert, J, Thomas, J, Badano, L, Voigt, J, Hamilton, J, Pedri, S, Lysyansky, P, Hansen, G, Ito, Y, Chono, T, Vogel, J, Prater, D, Park, S, Lee, J, Houle, H, Georgescu, B, Baumann, R, Mumm, B, Abe, Y, and Gorissen, W

Subjects
Observer Variation, intervendor bia, Myocardial Infarction, Reproducibility of Result, Predictive Value of Test, Magnetic Resonance Imaging, Myocardial Contraction, Echocardiography, Doppler, Ventricular Function, Left, Biomechanical Phenomena, Ventricular Dysfunction, Left, Image Interpretation, Computer-Assisted, Stress, Mechanical, Case-Control Studie, Software, segmental strain, Human
Abstract

Objectives In this study, we compared left ventricular (LV) segmental strain measurements obtained with different ultrasound machines and post-processing software packages. Background Global longitudinal strain (GLS) has proven to be a reproducible and valuable tool in clinical practice. Data about the reproducibility and intervendor differences of segmental strain measurements, however, are missing. Methods We included 63 volunteers with cardiac magnetic resonance–proven infarct scar with segmental LV function ranging from normal to severely impaired. Each subject was examined within 2 h by a single expert sonographer with machines from multiple vendors. All 3 apical views were acquired twice to determine the test-retest and the intervendor variability. Segmental longitudinal peak systolic, end-systolic, and post-systolic strain were measured using 7 vendor-specific systems (Hitachi, Tokyo, Japan; Esaote, Florence, Italy; GE Vingmed Ultrasound, Horten, Norway; Philips, Andover, Massachusetts; Samsung, Seoul, South Korea; Siemens, Mountain View, California; and Toshiba, Otawara, Japan) and 2 independent software packages (Epsilon, Ann Arbor, Michigan; and TOMTEC, Unterschleissheim, Germany) and compared among vendors. Results Image quality and tracking feasibility differed among vendors (analysis of variance, p < 0.05). The absolute test-retest difference ranged from 2.5% to 4.9% for peak systolic, 2.6% to 5.0% for end-systolic, and 2.5% to 5.0% for post-systolic strain. The average segmental strain values varied significantly between vendors (up to 4.5%). Segmental strain parameters from each vendor correlated well with the mean of all vendors (r2 range 0.58 to 0.81) but showed very different ranges of values. Bias and limits of agreement were up to −4.6 ± 7.5%. Conclusions In contrast to GLS, LV segmental longitudinal strain measurements have a higher variability on top of the known intervendor bias. The fidelity of different software to follow segmental function varies considerably. We conclude that single segmental strain values should be used with caution in the clinic. Segmental strain pattern analysis might be a more robust alternative.

Published
2018

27. Intervendor Differences in the Accuracy of Detecting Regional Functional Abnormalities: A Report From the EACVI-ASE Strain Standardization Task Force

Author

Mirea O., Pagourelias E. D., Duchenne J., Bogaert J., Thomas J. D., Badano L., Voigt J. -U., Hamilton J., Pedri S., Lysyansky P., Hansen G., Ito Y., Chono T., Vogel J., Prater D., Park S., Lee J. Y., Houle H., Georgescu B., Baumann R., Mumm B., Abe Y., Gorissen W., Mirea, O, Pagourelias, E, Duchenne, J, Bogaert, J, Thomas, J, Badano, L, Voigt, J, Hamilton, J, Pedri, S, Lysyansky, P, Hansen, G, Ito, Y, Chono, T, Vogel, J, Prater, D, Park, S, Lee, J, Houle, H, Georgescu, B, Baumann, R, Mumm, B, Abe, Y, and Gorissen, W

Subjects
Observer Variation, Myocardial Infarction, Reproducibility of Result, Predictive Value of Test, MED/11 - MALATTIE DELL'APPARATO CARDIOVASCOLARE, Magnetic Resonance Imaging, Myocardial Contraction, Echocardiography, Doppler, Ventricular Function, Left, Biomechanical Phenomena, Ventricular Dysfunction, Left, scar detection, intervendor difference, Image Interpretation, Computer-Assisted, Stress, Mechanical, Software, longitudinal strain, Human
Abstract

Objectives The purpose of this study was to compare the accuracy of vendor-specific and independent strain analysis tools to detect regional myocardial function abnormality in a clinical setting. Background Speckle tracking echocardiography has been considered a promising tool for the quantitative assessment of regional myocardial function. However, the potential differences among speckle tracking software with regard to their accuracy in identifying regional abnormality has not been studied extensively. Methods Sixty-three subjects (5 healthy volunteers and 58 patients) were examined with 7 different ultrasound machines during 5 days. All patients had experienced a previous myocardial infarction, which was characterized by cardiac magnetic resonance with late gadolinium enhancement. Segmental peak systolic (PS), end-systolic (ES) and post-systolic strain (PSS) measurements were obtained with 6 vendor-specific software tools and 2 independent strain analysis tools. Strain parameters were compared between fully scarred and scar-free segments. Receiver-operating characteristic curves testing the ability of strain parameters and derived indexes to discriminate between these segments were compared among vendors. Results The average strain values calculated for normal segments ranged from −15.1% to −20.7% for PS, −14.9% to −20.6% for ES, and −16.1% to −21.4% for PSS. Significantly lower values of strain (p < 0.05) were found in segments with transmural scar by all vendors, with values ranging from −7.4% to −11.1% for PS, −7.7% to −10.8% for ES, and −10.5% to −14.3% for PSS. Accuracy in identifying transmural scar ranged from acceptable to excellent (area under the curve 0.74 to 0.83 for PS and ES and 0.70 to 0.78 for PSS). Significant differences were found among vendors (p < 0.05). All vendors had a significantly lower accuracy to detect scars in the basal segments compared with scars in the apex (p < 0.05). Conclusions The accuracy of identifying regional abnormality differs significantly among vendors.

Published
2018

30. Poster session 4: Friday 5 December 2014, 08:30-12:30Location: Poster area

Author

Orii M, Tanimoto T, Yokoyama M, Ota S, Kubo T, Hirata K, Tanaka A, Imanishi T, Akasaka T, Michelsen M, Pena A, Mygind N, Hoest N, Prescott E, Abd El Dayem S, Battah A, Abd El Azzez F, Ahmed A, Fattoh A, Ismail R, Andjelkovic K, Kalimanovska Ostric D, Nedeljkovic I, Andjelkovic I, Rashid H, Abuel Enien H, Ibraheem M, Vago H, Toth A, Csecs I, Czimbalmos C, Suhai FI, Kecskes K, Becker D, Simor T, Merkely B, D'ascenzi F, Pelliccia A, Natali B, Cameli M, Lisi M, Focardi M, Corrado D, Bonifazi M, Mondillo S, Zaha V, Kim G, Su K, Zhang J, Mikush N, Ross J, Palmeri M, Young L, Tadic M, Ilic S, Celic V, Jaimes C, Gonzalez Mirelis J, Gallego M, Goirigolzarri J, Pellegrinet M, Poli S, Prati G, Vriz O, Di Bello V, Carerj S, Zito C, Mateescu A, Popescu B, Antonini Canterin F, Chatzistamatiou E, Moustakas G, Memo G, Konstantinidis D, Mpampatzeva Vagena I, Manakos K, Traxanas K, Vergi N, Feretou A, Kallikazaros I, Hewing B, Theres L, Dreger H, Spethmann S, Stangl K, Baumann G, Knebel F, Uejima T, Itatani K, Nakatani S, Lancellotti P, Seo Y, Zamorano J, Ohte N, Takenaka K, Naar J, Mortensen L, Johnson J, Winter R, Shahgaldi K, Manouras A, Braunschweig F, Stahlberg M, Coisne D, Al Arnaout AM, Tchepkou C, Raud Raynier P, Diakov C, Degand B, Christiaens L, Barbier P, Mirea O, Cefalu C, Savioli G, Guglielmo M, Maltagliati A, O'neill L, Walsh K, Hogan J, Manzoor T, Ahern B, Owens P, Sengelov M, Biering Sorensen T, Jorgensen P, Bruun N, Fritz Hansen T, Bech J, Olsen F, Sivertsen J, Jensen J, Marta L, Abecasis J, Reis C, Ribeiras R, Andrade M, Mendes M, D'andrea A, Stanziola A, Di Palma E, Martino M, Lanza M, Betancourt V, Maglione M, Calabro' R, Russo M, Bossone E, Vogt MO, Meierhofer Ch, Rutz T, Fratz S, Ewert P, Roehlig Ch, Kuehn A, Storsten P, Eriksen M, Remme E, Boe E, Smiseth O, Skulstad H, Ereminiene E, Ordiene R, Ivanauskas V, Vaskelyte J, Stoskute N, Kazakauskaite E, Benetis R, Marketou M, Parthenakis F, Kontaraki J, Zacharis E, Maragkoudakis S, Logakis J, Roufas K, Vougia D, Vardas P, Dado E, Knuti G, Djamandi J, Shota E, Sharka I, Saka J, Halmai L, Nemes A, Kardos A, Neubauer S, Kurnicka K, Domienik Karlowicz J, Lichodziejewska B, Goliszek S, Grudzka K, Krupa M, Dzikowska Diduch O, Ciurzynski M, Pruszczyk P, Chung H, Kim J, Yoon Y, Min P, Lee B, Hong B, Rim S, Kwon H, Choi E, Soya O, Kuryata O, Kakihara R, Naruse C, Inayoshi A, El Sebaie M, Frer A, Abdelsamie M, Eldamanhory A, Ciampi Q, Cortigiani L, Simioniuc A, Manicardi C, Villari B, Picano E, Sicari R, Ferferieva V, Deluyker D, Lambrichts I, Rigo J, Bito V, Kuznetsov V, Yaroslavskaya E, Krinochkin D, Pushkarev G, Gorbatenko E, Trzcinski P, Michalski B, Lipiec P, Szymczyk E, Peczek L, Nawrot B, Chrzanowski L, Kasprzak J, Todaro M, Khandheria B, Cusma Piccione M, La Carrubba S, Oreto G, Di Bella G, Gunyeli E, Oliveira Da Silva C, Sahlen A, Spampinato R, Tasca M, Roche E. Silva J, Strotdrees E, Schloma V, Dmitrieva Y, Dobrovie M, Borger M, Mohr F, Einarsen E, Cramariuc D, Lonnebakken M, Boman K, Gohlke Barwolf C, Chambers J, Gerdts E, Calin A, Rosca M, Beladan C, Mirescu Craciun A, Gurzun M, Enache R, Ginghina C, Antova E, Georgievska Ismail Lj, Srbinovska E, Andova V, Peovska I, Davceva J, Otljanska M, Vavulkis M, Tsuruta H, Kohsaka S, Murata M, Yasuda R, Dan M, Yashima F, Inohara T, Maekawa Y, Hayashida K, Fukuda K, Migliore R, Adaniya M, Barranco M, Miramont G, Gonzalez S, Tamagusuku H, Abid L, Ben Kahla S, Charfeddine S, Abid D, Kammoun S, Amano M, Izumi C, Miyake M, Tamura T, Kondo H, Kaitani K, Nakagawa Y, Ghulam Ali S, Fusini L, Tamborini G, Muratori M, Gripari P, Bottari V, Celeste F, Cefalu' C, Alamanni F, Pepi M, Obase K, Mor Avi V, Weinert L, Lang R, Teixeira R, Monteiro R, Garcia J, Ribeiro M, Cardim N, Goncalves L, Miglioranza M, Muraru D, Cavalli G, Addetia K, Cucchini U, Mihaila S, Veronesi F, Badano L, Galian Gay L, Gonzalez Alujas M, Teixido Tura G, Gutierrez Garcia L, Rodriguez Palomares J, Evangelista Masip A, Conte L, Fabiani I, Giannini C, La Carruba S, De Carlo M, Barletta V, Petronio A, Mahmoud H, Al Ghamdi M, Ghabashi A, Salaun E, Zenses A, Evin M, Collart F, Pibarot P, Habib G, Rieu R, Fabregat Andres O, Estornell Erill J, Cubillos Arango A, Bochard Villanueva B, Chacon Hernandez N, Higueras Ortega L, Perez Bosca L, Paya Serrano R, Ridocci Soriano F, Cortijo Gimeno J, Mzoughi K, Zairi I, Jabeur M, Ben Moussa F, Mrabet K, Kamoun S, Fennira S, Ben Chaabene A, Kraiem S, Schnell F, Betancur J, Daudin M, Simon A, Lentz P, Tavard F, Hernandes A, Carre F, Garreau M, Donal E, Abduch M, Vieira M, Antunes M, Mathias W, Mady C, Arteaga E, Alencar A, Tesic M, Djordjevic Dikic A, Beleslin B, Giga V, Trifunovic D, Petrovic O, Jovanovic I, Petrovic M, Stepanovic J, Vujisic Tesic B, Cha J, Kim Kh, Bergler Klein J, Geier C, Maurer G, Gyongyosi M, Cortes Garcia M, Oliva M, Navas M, Orejas M, Rabago R, Martinez M, Briongos S, Romero A, Rey M, Farre J, Ruisanchez Villar C, Ruiz Guerrero L, Rubio Ruiz S, Lerena Saenz P, Gonzalez Vilchez F, Hernandez Hernandez J, Armesto Alonso S, Blanco Alonso R, Martin Duran R, Gonzalez Gay M, Novo G, Marturana I, Bonomo V, Arvigo L, Evola V, Karfakis G, Lo Presti M, Verga S, Novo S, Petroni R, Acitelli A, Bencivenga S, Cicconetti M, Di Mauro M, Petroni A, Romano S, Penco M, Park S, Kim S, Kim M, Shim W, Majstorovic A, Ivanovic B, Driessen MM, Meijboom F, Mertens L, Dragulescu A, Friedberg M, De Stefano F, Santoro C, Buonauro A, Muscariello R, Lo Iudice F, Ierano P, Esposito R, Galderisi M, Sunbul M, Kivrak T, Durmus E, Yildizeli B, Mutlu B, Rodrigues A, Daminello E, Echenique L, Cordovil A, Oliveira W, Monaco Ch, Lira E, Fischer Ch, Morhy S, Mignot A, Jaussaud J, Chevalier L, Lafitte S, Curci V, Alvino F, Ikonomidis I, Pavlidis G, Lambadiari V, Kousathana F, Triantafyllidi H, Varoudi M, Dimitriadis G, Lekakis J, Cho JS, Cho E, Yoon H, Ihm Sh, Lee J, Molnar AA, Kovacs A, Apor A, Tarnoki A, Tarnoki D, Horvath T, Maurovich Horvat P, Jermendy G, Kiss R, Al Habbaa A, Petrovic Nagorni S, Ciric Zdravkovic S, Stanojevic D, Jankovic Tomasevic R, Atanaskovic V, Mitic V, Todorovic L, Dakic S, Park JS, Choi J, Kim Sh, Kwon Y, Jin H, Coppola C, Piscopo G, Galletta F, Maurea C, Esposito E, Barbieri A, Maurea N, Kaldararova M, Tittel P, Kantorova A, Vrsanska V, Kollarova E, Hraska V, Nosal M, Ondriska M, Masura J, Simkova I, Tadeu I, Azevedo O, Lourenco M, Luis F, Lourenco A, Planinc I, Bagadur G, Bijnens B, Ljubas J, Baricevic Z, Skoric B, Velagic V, Milicic D, Cikes M, Campanale CM, Di Maria S, Mega S, Nusca A, Marullo F, Di Sciascio G, El Tahlawi M, Abdallah M, Gouda M, Gad M, Elawady M, Igual Munoz B, Maceira Gonzalez Alicia A, Donate Betolin L, Vazquez Sanchez Alejandro A, Valera Martinez F, Sepulveda Sanchez P, Cervera Zamora A, Piquer Gil Marina M, Montero Argudo A, Naka K, Evangelou D, Lakkas L, Kalaitzidis R, Bechlioulis A, Gkirdis I, Tzeltzes G, Nakas G, Pappas K, Michalis L, Mansencal N, Bagate F, Arslan M, Siam Tsieu V, Deblaise J, El Mahmoud R, Dubourg O, Wierzbowska Drabik K, Plewka M, Bandera F, Generati G, Pellegrino M, Alfonzetti E, Labate V, Villani S, Gaeta M, Guazzi M, Grycewicz T, Szymanska K, Grabowicz W, Lubinski A, Sotaquira M, Caiani E, Garcia Gonzalez P, De La Espriella Juan R, Albiach Montanana C, Berenguer Jofresa A, Perez Bosca J, Cheng HL, Huang CH, Wang YC, Chou WH, Melnikov N, Kolunin G, Enina T, Sierraalta W, Le Bihan D, Barretto R, Assef J, Gospos M, Buffon M, Ramos A, Garcia A, Pinto I, Souza A, Mueller H, Reverdin S, Ehret G, Conti L, Dos Santos S, Abdel Moneim SS, Nhola LF, Huang R, Kohli M, Longenbach S, Green M, Villarraga HR, Bordun KA, Jassal DS, Mulvagh SL, Evangelista A, Madeo A, Piras P, Giordano F, Giura G, Teresi L, Gabriele S, Re F, Puddu P, Torromeo C, Suwannaphong S, Vathesatogkit P, See O, Yamwong S, Katekao W, Sritara P, Iliuta L, Szulik M, Streb W, Wozniak A, Lenarczyk R, Sliwinska A, Kalarus Z, Kukulski T, Weng KP, Lin CC, Hein S, Lehmann L, Kossack M, Juergensen L, Katus H, Hassel D, Turrini F, Scarlini S, Giovanardi P, Messora R, Mannucci C, Bondi M, Olander R, Sundholm J, Ojala T, Andersson S, Sarkola T, Karolyi M, Kocsmar I, Raaijmakers R, Kitslaar P, Szilveszter B, Tissue Doppler echocardiography research work, VFM international collaboration group, MTA SE Lendület Cardiovascular Imaging Research Group Heart, Vascular Center Semmelweis University Budapest Hungary, POLICINO, SALVATORE, Orii, M, Tanimoto, T, Yokoyama, M, Ota, S, Kubo, T, Hirata, K, Tanaka, A, Imanishi, T, Akasaka, T, Michelsen, M, Pena, A, Mygind, N, Hoest, N, Prescott, E, Abd El Dayem, S, Battah, A, Abd El Azzez, F, Ahmed, A, Fattoh, A, Ismail, R, Andjelkovic, K, Kalimanovska Ostric, D, Nedeljkovic, I, Andjelkovic, I, Rashid, H, Abuel Enien, H, Ibraheem, M, Vago, H, Toth, A, Csecs, I, Czimbalmos, C, Suhai, Fi, Kecskes, K, Becker, D, Simor, T, Merkely, B, D'Ascenzi, F, Pelliccia, A, Natali, B, Cameli, M, Lisi, M, Focardi, M, Corrado, D, Bonifazi, M, Mondillo, S, Zaha, V, Kim, G, Su, K, Zhang, J, Mikush, N, Ross, J, Palmeri, M, Young, L, Tadic, M, Ilic, S, Celic, V, Jaimes, C, Gonzalez Mirelis, J, Gallego, M, Goirigolzarri, J, Pellegrinet, M, Poli, S, Prati, G, Vriz, O, Di Bello, V, Carerj, S, Zito, C, Mateescu, A, Popescu, B, Antonini Canterin, F, Chatzistamatiou, E, Moustakas, G, Memo, G, Konstantinidis, D, Mpampatzeva Vagena, I, Manakos, K, Traxanas, K, Vergi, N, Feretou, A, Kallikazaros, I, Hewing, B, Theres, L, Dreger, H, Spethmann, S, Stangl, K, Baumann, G, Knebel, F, Uejima, T, Itatani, K, Nakatani, S, Lancellotti, P, Seo, Y, Zamorano, J, Ohte, N, Takenaka, K, Naar, J, Mortensen, L, Johnson, J, Winter, R, Shahgaldi, K, Manouras, A, Braunschweig, F, Stahlberg, M, Coisne, D, Al Arnaout, Am, Tchepkou, C, Raud Raynier, P, Diakov, C, Degand, B, Christiaens, L, Barbier, P, Mirea, O, Cefalu, C, Savioli, G, Guglielmo, M, Maltagliati, A, O'Neill, L, Walsh, K, Hogan, J, Manzoor, T, Ahern, B, Owens, P, Sengelov, M, Biering Sorensen, T, Jorgensen, P, Bruun, N, Fritz Hansen, T, Bech, J, Olsen, F, Sivertsen, J, Jensen, J, Marta, L, Abecasis, J, Reis, C, Ribeiras, R, Andrade, M, Mendes, M, D'Andrea, A, Stanziola, A, Di Palma, E, Martino, M, Lanza, M, Betancourt, V, Maglione, M, Calabro', R, Russo, M, Bossone, E, Vogt, Mo, Meierhofer, Ch, Rutz, T, Fratz, S, Ewert, P, Roehlig, Ch, Kuehn, A, Storsten, P, Eriksen, M, Remme, E, Boe, E, Smiseth, O, Skulstad, H, Ereminiene, E, Ordiene, R, Ivanauskas, V, Vaskelyte, J, Stoskute, N, Kazakauskaite, E, Benetis, R, Marketou, M, Parthenakis, F, Kontaraki, J, Zacharis, E, Maragkoudakis, S, Logakis, J, Roufas, K, Vougia, D, Vardas, P, Dado, E, Knuti, G, Djamandi, J, Shota, E, Sharka, I, Saka, J, Halmai, L, Nemes, A, Kardos, A, Neubauer, S, Kurnicka, K, Domienik Karlowicz, J, Lichodziejewska, B, Goliszek, S, Grudzka, K, Krupa, M, Dzikowska Diduch, O, Ciurzynski, M, Pruszczyk, P, Chung, H, Kim, J, Yoon, Y, Min, P, Lee, B, Hong, B, Rim, S, Kwon, H, Choi, E, Soya, O, Kuryata, O, Kakihara, R, Naruse, C, Inayoshi, A, El Sebaie, M, Frer, A, Abdelsamie, M, Eldamanhory, A, Ciampi, Q, Cortigiani, L, Simioniuc, A, Manicardi, C, Villari, B, Picano, E, Sicari, R, Ferferieva, V, Deluyker, D, Lambrichts, I, Rigo, J, Bito, V, Kuznetsov, V, Yaroslavskaya, E, Krinochkin, D, Pushkarev, G, Gorbatenko, E, Trzcinski, P, Michalski, B, Lipiec, P, Szymczyk, E, Peczek, L, Nawrot, B, Chrzanowski, L, Kasprzak, J, Todaro, M, Khandheria, B, Cusma Piccione, M, La Carrubba, S, Oreto, G, Di Bella, G, Gunyeli, E, Oliveira Da Silva, C, Sahlen, A, Spampinato, R, Tasca, M, Roche E., Silva J, Strotdrees, E, Schloma, V, Dmitrieva, Y, Dobrovie, M, Borger, M, Mohr, F, Einarsen, E, Cramariuc, D, Lonnebakken, M, Boman, K, Gohlke Barwolf, C, Chambers, J, Gerdts, E, Calin, A, Rosca, M, Beladan, C, Mirescu Craciun, A, Gurzun, M, Enache, R, Ginghina, C, Antova, E, Georgievska Ismail, Lj, Srbinovska, E, Andova, V, Peovska, I, Davceva, J, Otljanska, M, Vavulkis, M, Tsuruta, H, Kohsaka, S, Murata, M, Yasuda, R, Dan, M, Yashima, F, Inohara, T, Maekawa, Y, Hayashida, K, Fukuda, K, Migliore, R, Adaniya, M, Barranco, M, Miramont, G, Gonzalez, S, Tamagusuku, H, Abid, L, Ben Kahla, S, Charfeddine, S, Abid, D, Kammoun, S, Amano, M, Izumi, C, Miyake, M, Tamura, T, Kondo, H, Kaitani, K, Nakagawa, Y, Ghulam Ali, S, Fusini, L, Tamborini, G, Muratori, M, Gripari, P, Bottari, V, Celeste, F, Cefalu', C, Alamanni, F, Pepi, M, Obase, K, Mor Avi, V, Weinert, L, Lang, R, Teixeira, R, Monteiro, R, Garcia, J, Ribeiro, M, Cardim, N, Goncalves, L, Miglioranza, M, Muraru, D, Cavalli, G, Addetia, K, Cucchini, U, Mihaila, S, Veronesi, F, Badano, L, Galian Gay, L, Gonzalez Alujas, M, Teixido Tura, G, Gutierrez Garcia, L, Rodriguez Palomares, J, Evangelista Masip, A, Conte, L, Fabiani, I, Giannini, C, La Carruba, S, De Carlo, M, Barletta, V, Petronio, A, Mahmoud, H, Al Ghamdi, M, Ghabashi, A, Salaun, E, Zenses, A, Evin, M, Collart, F, Pibarot, P, Habib, G, Rieu, R, Fabregat Andres, O, Estornell Erill, J, Cubillos Arango, A, Bochard Villanueva, B, Chacon Hernandez, N, Higueras Ortega, L, Perez Bosca, L, Paya Serrano, R, Ridocci Soriano, F, Cortijo Gimeno, J, Mzoughi, K, Zairi, I, Jabeur, M, Ben Moussa, F, Mrabet, K, Kamoun, S, Fennira, S, Ben Chaabene, A, Kraiem, S, Schnell, F, Betancur, J, Daudin, M, Simon, A, Lentz, P, Tavard, F, Hernandes, A, Carre, F, Garreau, M, Donal, E, Abduch, M, Vieira, M, Antunes, M, Mathias, W, Mady, C, Arteaga, E, Alencar, A, Tesic, M, Djordjevic Dikic, A, Beleslin, B, Giga, V, Trifunovic, D, Petrovic, O, Jovanovic, I, Petrovic, M, Stepanovic, J, Vujisic Tesic, B, Cha, J, Kim, Kh, Bergler Klein, J, Geier, C, Maurer, G, Gyongyosi, M, Cortes Garcia, M, Oliva, M, Navas, M, Orejas, M, Rabago, R, Martinez, M, Briongos, S, Romero, A, Rey, M, Farre, J, Ruisanchez Villar, C, Ruiz Guerrero, L, Rubio Ruiz, S, Lerena Saenz, P, Gonzalez Vilchez, F, Hernandez Hernandez, J, Armesto Alonso, S, Blanco Alonso, R, Martin Duran, R, Gonzalez Gay, M, Novo, G, Marturana, I, Bonomo, V, Arvigo, L, Evola, V, Karfakis, G, Lo Presti, M, Verga, S, Novo, S, Petroni, R, Acitelli, A, Bencivenga, S, Cicconetti, M, Di Mauro, M, Petroni, A, Romano, S, Penco, M, Park, S, Kim, S, Kim, M, Shim, W, Majstorovic, A, Ivanovic, B, Driessen, Mm, Meijboom, F, Mertens, L, Dragulescu, A, Friedberg, M, De Stefano, F, Santoro, C, Buonauro, A, Muscariello, R, Lo Iudice, F, Ierano, P, Esposito, R, Galderisi, M, Sunbul, M, Kivrak, T, Durmus, E, Yildizeli, B, Mutlu, B, Rodrigues, A, Daminello, E, Echenique, L, Cordovil, A, Oliveira, W, Monaco, Ch, Lira, E, Fischer, Ch, Morhy, S, Mignot, A, Jaussaud, J, Chevalier, L, Lafitte, S, Curci, V, Alvino, F, Ikonomidis, I, Pavlidis, G, Lambadiari, V, Kousathana, F, Triantafyllidi, H, Varoudi, M, Dimitriadis, G, Lekakis, J, Cho, J, Cho, E, Yoon, H, Ihm, Sh, Lee, J, Molnar, Aa, Kovacs, A, Apor, A, Tarnoki, A, Tarnoki, D, Horvath, T, Maurovich Horvat, P, Jermendy, G, Kiss, R, Al Habbaa, A, Petrovic Nagorni, S, Ciric Zdravkovic, S, Stanojevic, D, Jankovic Tomasevic, R, Atanaskovic, V, Mitic, V, Todorovic, L, Dakic, S, Park, J, Choi, J, Kim, Sh, Kwon, Y, Jin, H, Coppola, C, Piscopo, G, Galletta, F, Maurea, C, Esposito, E, Barbieri, A, Maurea, N, Kaldararova, M, Tittel, P, Kantorova, A, Vrsanska, V, Kollarova, E, Hraska, V, Nosal, M, Ondriska, M, Masura, J, Simkova, I, Tadeu, I, Azevedo, O, Lourenco, M, Luis, F, Lourenco, A, Planinc, I, Bagadur, G, Bijnens, B, Ljubas, J, Baricevic, Z, Skoric, B, Velagic, V, Milicic, D, Cikes, M, Campanale, Cm, Di Maria, S, Mega, S, Nusca, A, Marullo, F, Di Sciascio, G, El Tahlawi, M, Abdallah, M, Gouda, M, Gad, M, Elawady, M, Igual Munoz, B, Maceira Gonzalez Alicia, A, Donate Betolin, L, Vazquez Sanchez Alejandro, A, Valera Martinez, F, Sepulveda Sanchez, P, Cervera Zamora, A, Piquer Gil Marina, M, Montero Argudo, A, Naka, K, Evangelou, D, Lakkas, L, Kalaitzidis, R, Bechlioulis, A, Gkirdis, I, Tzeltzes, G, Nakas, G, Pappas, K, Michalis, L, Mansencal, N, Bagate, F, Arslan, M, Siam Tsieu, V, Deblaise, J, El Mahmoud, R, Dubourg, O, Wierzbowska Drabik, K, Plewka, M, Bandera, F, Generati, G, Pellegrino, M, Alfonzetti, E, Labate, V, Villani, S, Gaeta, M, Guazzi, M, Grycewicz, T, Szymanska, K, Grabowicz, W, Lubinski, A, Sotaquira, M, Caiani, E, Garcia Gonzalez, P, De La Espriella Juan, R, Albiach Montanana, C, Berenguer Jofresa, A, Perez Bosca, J, Cheng, Hl, Huang, Ch, Wang, Yc, Chou, Wh, Melnikov, N, Kolunin, G, Enina, T, Sierraalta, W, Le Bihan, D, Barretto, R, Assef, J, Gospos, M, Buffon, M, Ramos, A, Garcia, A, Pinto, I, Souza, A, Mueller, H, Reverdin, S, Ehret, G, Conti, L, Dos Santos, S, Abdel Moneim, S, Nhola, Lf, Huang, R, Kohli, M, Longenbach, S, Green, M, Villarraga, Hr, Bordun, Ka, Jassal, D, Mulvagh, Sl, Evangelista, A, Madeo, A, Piras, P, Giordano, F, Giura, G, Teresi, L, Gabriele, S, Re, F, Puddu, P, Torromeo, C, Suwannaphong, S, Vathesatogkit, P, See, O, Yamwong, S, Katekao, W, Sritara, P, Iliuta, L, Szulik, M, Streb, W, Wozniak, A, Lenarczyk, R, Sliwinska, A, Kalarus, Z, Kukulski, T, Weng, Kp, Lin, Cc, Hein, S, Lehmann, L, Kossack, M, Juergensen, L, Katus, H, Hassel, D, Turrini, F, Scarlini, S, Giovanardi, P, Messora, R, Mannucci, C, Bondi, M, Olander, R, Sundholm, J, Ojala, T, Andersson, S, Sarkola, T, Karolyi, M, Kocsmar, I, Raaijmakers, R, Kitslaar, P, Szilveszter, B, Tissue Doppler echocardiography research, Work, VFM international collaboration, Group, MTA SE Lendület Cardiovascular Imaging Research Group, Heart, Vascular Center Semmelweis University Budapest, Hungary, and Policino, Salvatore

Subjects
Medical education, business.industry, Medicine, Radiology, Nuclear Medicine and imaging, Friday 5 December 2014, General Medicine, Session (computer science), Cardiology and Cardiovascular Medicine, business
Published
2014

36. Standardized evaluation system for left ventricular segmentation algorithms in 3D echocardiography.

Author

Bernard, Olivier, Bosch, J G, Heyde, Brecht, Alessandrini, Martino, Barbosa, Daniel, Camarasu-Pop, S, Cervenansky, F, Valette, S, Mirea, O, Bernier, M, Jodoin, P M, Domingos, J S, Stebbing, R V, Keraudren, K, Oktay, O, Caballero, J, Shi, W, Rueckert, D, Milletari, F, Ahmadi, S A, Smistad, E, Lindseth, F, van Stralen, M, Wang, Chunliang, Smedby, Örjan, Donal, E, Monaghan, M, Papachristidis, A, Geleijnse, M L, Galli, E, Dhooge, Jan, Bernard, Olivier, Bosch, J G, Heyde, Brecht, Alessandrini, Martino, Barbosa, Daniel, Camarasu-Pop, S, Cervenansky, F, Valette, S, Mirea, O, Bernier, M, Jodoin, P M, Domingos, J S, Stebbing, R V, Keraudren, K, Oktay, O, Caballero, J, Shi, W, Rueckert, D, Milletari, F, Ahmadi, S A, Smistad, E, Lindseth, F, van Stralen, M, Wang, Chunliang, Smedby, Örjan, Donal, E, Monaghan, M, Papachristidis, A, Geleijnse, M L, Galli, E, and Dhooge, Jan

Abstract

Real-time 3D Echocardiography (RT3DE) has been proven to be an accurate tool for left ventricular (LV) volume assessment. However, identification of the LV endocardium remains a challenging task, mainly because of the low tissue/blood contrast of the images combined with typical artifacts. Several semi and fully automatic algorithms have been proposed for segmenting the endocardium in RT3DE data in order to extract relevant clinical indices, but a systematic and fair comparison between such methods has so far been impossible due to the lack of a publicly available common database. Here, we introduce a standardized evaluation framework to reliably evaluate and compare the performance of the algorithms developed to segment the LV border in RT3DE. A database consisting of 45 multivendor cardiac ultrasound recordings acquired at different centers with corresponding reference measurements from 3 experts are made available. The algorithms from nine research groups were quantitatively evaluated and compared using the proposed online platform. The results showed that the best methods produce promising results with respect to the experts' measurements for the extraction of clinical indices, and that they offer good segmentation precision in terms of mean distance error in the context of the experts' variability range. The platform remains open for new submissions., QC 20230927

Published
2016
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37. Poster session 2: Thursday 4 December 2014, 08:30-12:30Location: Poster area

Author

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

Subjects
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

38. Moderated Posters: Deformation imagingP96How accurate can different strain analysis tools detect regional function?abnormalities, a report from the second inter-vendor comparison?studyP97Variability and reproducibility of segmental longitudinal strain measurements, a report form the second intervendor comparison studyP98Systolic and diastolic left atrial deformation parameters before and after optimization of dual chamber pacemaker parametersP99The timing of the post systolic shortening in prediction of scarred myocardiumP100Altered contribution of longitudinal and radial motion to right ventricular ejection and filling in heart transplant recipientsP101Left ventricular and atrial function in old patients underwent transcatheter aortic valve implantation, evaluated by two and three-dimensional speckle tracking at eighteen-month follow-upP102Age-related changes in left ventricular strain measured by speckle-tracking echocardiography and association with telomere length in healthy peopleP103Intracardiac speckle tracking echocardiography-based method for assessment of pulmonary vein isolation in patients with atrial fibrillation

Author

Mirea, O., primary, Karuzas, A., primary, Nestaas, E., primary, Lakatos, BK., primary, Ancona, R., primary, Plokhova, EV., primary, Lebedev, D., primary, Pagourelias, ED., additional, Duchenne, J., additional, Bogaert, J., additional, Thomas, JD., additional, Badano, LP., additional, Voigt, JU., additional, Viezelis, M., additional, Zemaitis, M., additional, Rumbinaite, E., additional, Baronaite-Dudoniene, K., additional, Puodziukynas, A., additional, Vaskelyte, JJ., additional, Sarvari, S., additional, Hopp, E., additional, Gjesdal, O., additional, Smedsrud, MK., additional, Haugaa, KH., additional, Edvardsen, T., additional, Toser, Z., additional, Tokodi, M., additional, Kosztin, A., additional, Sax, B., additional, Merkely, B., additional, Kovacs, A., additional, Comenale Pinto, S., additional, Caso, P., additional, Coppola, MG., additional, Monteforte, I., additional, Calabro, R., additional, Akasheva, DU., additional, Tkacheva, ON., additional, Strazhesko, ID., additional, Dudinskaya, EN., additional, Kruglikova, AS., additional, Pykhtina, VS., additional, Streltsova, LI., additional, Boytsov, SA., additional, Smorgon, AV., additional, Usenkov, SYU, additional, Archakov, EA., additional, Batalov, RE., additional, and Popov, SV., additional

Published
2016
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39. Poster Session 6Assessment of morphology and functionP1222Multimodality imaging for left atrial appendage occluder sizingP1223Longitudinal left atrial strain is a main predictor for long term prognosis on atrial fibrillation after CABG operation patientsP1224Comparison of 2D and 3D left ventricular volumes measurements: results from the SKIPOGH II studyP1225Adjusting for thoracic circumference is superior to body surface area in the assessment of neonatal cardiac dimensions in foetal growth abnormalityP1226Maximal vortex suction pressure: an equivocal marker for optimization of atrio-ventricular delayP1227Volume-time curve of cardiac magnetic resonance assessed left ventricular dysfunction in coronary artery disease patients with type 2 diabetes mellitusP1228Thickness matters, but not in the same way for all strain parametersP1229Digging deeper in postoperative modifications of right ventricular function: impact of pericardial approach and cardioplegiaP1230Left atrial function evaluated by 2D-speckle tracking echocardiography in diabetes mellitus populationP1231The influence of arterial hypertension duration on left ventricular diastolic parameters in patients with well regulated arterial blood pressureP1232Investigation of factors affecting left ventricular diastolic dysfunction determined using mitral annulus velocityP1233High regulatory T-lymphocytes after ST-elevation myocardial infarction relate with adverse left ventricular remodelling assessed by 3D-echocardiographyP1234Prevalence of paradoxical low flow/low gradient severe aortic stenosis measure with 3 dimensional transesophageal echocardiographyP1235Coronary microvascular and diastolic dysfunctions after aortic valve replacement: comparison between mechanical and biological prosthesesP1236Normal-flow, low gradient aortic stenosis is common in a population of patients with severe aortic valve stenosis undergoing aortic valve replacementP1237Analysis of validity and reproducibility of calcium burden visual estimation by echocardiographyP12383D full automatic software in the evaluation of aortic stenosis severity in TAVI patients. Preliminary resultsP1239Differential impact of net atrioventricular compliance on clinical outcomes in patients with mitral stenosis according to cardiac rhythmP1240Aortic regurgitation affects the intima-media thickness of the right and left common carotid artery differentlyP1241Global longitudinal strain: an hallmark of cardiac damage in mitral valve regurgitation. Experience from the european registry of mitral regurgitationP1242Echocardiographic characterisation of Barlow's disease versus fibroelastic deficiencyP1243Echocardiographic screening for rheumatic heart disease in a ugandan orphanage - feasibility and outcomesP1244Alterations in right ventricular mechanics upon follow-up period in patients with persistent ischemic mitral regurgitation after inferoposterior myocardial infarctionP1245Ten-years conventional mitral surgery in patients with mitral regurgitation and left ventricular dysfunction: clinical and echocardiographic outcomes

Author

Wassmuth, R., primary, Hristova, K., primary, Monney, P., primary, Olander, RFW, primary, Rodriguez Munoz, D., primary, Huayan, X., primary, Pagourelias, E., primary, Loardi, C., primary, Moreno, J., primary, Miljkovic, T., primary, Takase, H., primary, Latet, SC., primary, Henquin, R., primary, America, R., primary, Carter-Storch, R., primary, Panelo, ML., primary, Fernandez-Golfin, C., primary, Cho, IJ., primary, Petrini, J., primary, Buonauro, A., primary, Liu, B., primary, Mapelli, M., primary, Tamulenaite, E., primary, De Chiara, B., primary, Minden, H., additional, Kostova, V., additional, Nesheva, N., additional, Katova, TZ., additional, Bojadzhiev, L., additional, Crisinel, V., additional, Reverdin, S., additional, Conti, L., additional, Mach, F., additional, Mueller, H., additional, Jeanrenaud, X., additional, Bochud, M., additional, Ehret, G., additional, Sundholm, JKM, additional, Ojala, T., additional, Andersson, S., additional, Sarkola, T., additional, Moya Mur, JL., additional, Berlot, B., additional, Fernandez-Golfin, C., additional, Moreno Planas, J., additional, Casas Rojo, E., additional, Garcia Martin, A., additional, Jimenez Nacher, JJ., additional, Hernandez-Madrid, A., additional, Franco Diez, E., additional, Matia Frances, R., additional, Zamorano, JL., additional, Zhigang, YANG, additional, Yingkun, GUO, additional, Jing, CHEN, additional, Duchenne, J., additional, Mirea, O., additional, Triantafyllis, A., additional, Michalski, B., additional, Vovas, G., additional, Delforge, M., additional, Van Cleemput, J., additional, Bogaert, J., additional, Voigt, JU., additional, Saccocci, M., additional, Tamborini, G., additional, Veglia, F., additional, Pepi, M., additional, Alamanni, F., additional, Zanobini, M., additional, Zuniga Sedano, JJ., additional, Alexanderson, E., additional, Martinez, C., additional, Bjelobrk, M., additional, Pavlovic, K., additional, Ilic, A., additional, Colakovic, S., additional, Dodic, S., additional, Tanaka, T., additional, Machii, M., additional, Nonaka, D., additional, Van Herck, PL., additional, Claeys, MJ., additional, Haine, SE., additional, Miljoen, HP., additional, Segers, VF., additional, Vandendriessche, TR., additional, De Winter, BY., additional, Hoymans, VY., additional, Vrints, CJ., additional, Lombardero, M., additional, Perea, G., additional, Miele, MM., additional, De Amicis, DAV, additional, Mannacio, VAM, additional, Dahl, JS., additional, Christensen, NL., additional, Soendergaard, EV., additional, Marcussen, N., additional, Moeller, JE., additional, Fernandez-Palomeque, C., additional, Garcia-Vega, D., additional, Mont-Girbau, L., additional, Pardo, A., additional, Izurieta, C., additional, Boretti, I., additional, Hinojar, R., additional, Gonzalez-Gomez, A., additional, Casas, E., additional, Salido, L., additional, Barrios, V., additional, Ruiz, S., additional, Moya, JL., additional, Hernandez Antolin, R., additional, Jimenez Nacher, JL., additional, Chang, HJ., additional, Choi, HH., additional, Lee, SY., additional, Shim, CY., additional, Ha, JW., additional, Chung, N., additional, Ring, M., additional, Caidahl, K., additional, Eriksson, MJ., additional, Esposito, R., additional, Santoro, C., additional, Monteagudo, JM., additional, Trimarco, B., additional, Galderisi, M., additional, Baig, S., additional, Hayer, M., additional, Steeds, R., additional, Edwards, N., additional, Fusini, L., additional, Zagni, P., additional, Muratori, M., additional, Agostoni, P., additional, Gripari, P., additional, Ghulam Ali, S., additional, Fiorentini, C., additional, Valuckiene, Z., additional, Jurkevicius, R., additional, Peritore, A., additional, Botta, L., additional, Belli, O., additional, Musca, F., additional, Casadei, F., additional, Russo, C., additional, Giannattasio, C., additional, and Moreo, A., additional

Published
2016
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40. Moderated Posters: Congenital heart diseaseP374Classic-pattern dyssynchrony in adult patients with a Fontan circulationP375Outcome of pregnancy in patients with coarctation of aortaP376Diffuse myocardial fibrosis is not associated with decreased contractility: a magnetic resonance T1 mapping and feature tracking studyP377Cardiovascular abnormalities in patients with osteogenesis imperfecta: case-control studyP378Serial assessment of left ventricular systolic function by speckle tracking in patients with coarctation of the aorta undergoing stentingP379Longitudinal function and ventricular dyssynchrony are restored in children with pulmonary stenosis after percutaneous balloon pulmonary valvuloplastyP380Evaluation of the relationship between ventricular end-diastolic pressure and echocardiographic measures of cardiac function in adults with a Fontan circulationP381Right ventricular remodelling after percutaneaous pulmonary valve replacement in corrected tetralogy of Fallot with severe pulmonary regurgitation.Time matters

Author

Rosner, A., primary, Quattrone, A., primary, Ide, S., primary, Mata Caballero, R., primary, Aragao, NFDV, primary, Moustafa, TAMER, primary, Cordina, R., primary, Pagourelias, E., primary, Khalapyan, T., additional, Dalen, H., additional, Mc Elhinney, D., additional, Haeffele, C., additional, Chen, S., additional, Fernandes, S., additional, Bijnens, B., additional, Friedberg, M., additional, Lui, GK., additional, Skeide, A., additional, Lindberg, H., additional, Letting, AS., additional, Langsaeter, E., additional, Estensen, ME., additional, Yim, D., additional, Riesenkampff, E., additional, Seed, M., additional, Yoo, SJ., additional, Grosse-Wortmann, L., additional, Hernandez Jimenez, V., additional, Saavedra, J., additional, Molina, L., additional, Alberca Vela, MT., additional, L Pais, J., additional, Gorriz, J., additional, Navea, C., additional, Pavon, I., additional, Alonso, JJ., additional, Borgo, JNV, additional, Davoglio, TA., additional, Jesus, CA., additional, Petisco, ACGP, additional, Le Bihan, DC., additional, Barreto, RBM, additional, Assef, JE., additional, Pedra, CA., additional, Pedra, SRFF, additional, Mahfouz, RAGAB, additional, Goda, MOHAMD, additional, Gad, MARWA, additional, Ministeri, M., additional, Celermajer, DS., additional, Uebing, A., additional, Li, W., additional, Mirea, O., additional, Duchenne, J., additional, Budts, W., additional, Bogaert, J., additional, Gewillig, M., additional, and Voigt, JU., additional

Published
2016
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42. Oral Abstract session: New insights in ventricular function: Friday 5 December 2014, 14:00-15:30 * Location: Agora

Author

Guglielmo, M., primary, Cefalu', C., additional, Savioli, G., additional, Mirea, O., additional, Fusini, L., additional, Scali, M., additional, Simioniuc, A., additional, Dini, F., additional, Barbier, P., additional, Hasselberg, N., additional, Haugaa, K., additional, Bernard-Brunet, A., additional, Kongsgaard, E., additional, Donal, E., additional, Edvardsen, T., additional, Mada, R., additional, Lysyansky, P., additional, Winter, S., additional, Fehske, W., additional, Stankovic, I., additional, Voigt, J., additional, Domingos, J., additional, Boardman, H., additional, Leeson, P., additional, Noble, J., additional, Kou, S., additional, Caballero, L., additional, Henri, C., additional, Dulgheru, R., additional, Magne, J., additional, Daimon, M., additional, Watanabe, H., additional, Ito, H., additional, Yoshikawa, J., additional, Lancellotti, P., additional, Brunet Bernard, A., additional, Leclercq, C., additional, Schnell, F., additional, Fournet, M., additional, Reynaud, A., additional, Thebault, C., additional, Mabo, P., additional, Daubert, J., additional, Hernandez, A., additional, Park, J., additional, Naksuk, N., additional, Thongprayoon, C., additional, Gaba, P., additional, Sharma, S., additional, Rosenbaum, A., additional, Hu, T., additional, Kapa, S., additional, Bruce, C., additional, Asirvatham, S., additional, Kosmala, W., additional, Rojek, A., additional, Karolko, B., additional, Mysiak, A., additional, and Przewlocka-Kosmala, M., additional

Published
2014
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45. Poster session 2: Thursday 4 December 2014, 08:30-12:30 * Location: Poster area

Author

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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46. Poster session 4: Friday 5 December 2014, 08:30-12:30 * Location: Poster area

Author

Orii, M, Tanimoto, T, Yokoyama, M, Ota, S, Kubo, T, Hirata, K, Tanaka, A, Imanishi, T, Akasaka, T, Michelsen, MM, Pena, A, Mygind, ND, Hoest, NB, Prescott, E, Abd El Dayem, SOHA, Battah, AHMED, Abd El Azzez, FATEN, Ahmed, AZZA, Fattoh, AYA, Ismail, REEM, Andjelkovic, K, Kalimanovska Ostric, D, Nedeljkovic, I, Andjelkovic, I, Rashid, HESHAM, Abuel Enien, HESHAM, Ibraheem, MAHER, work, Tissue Doppler echocardiography research, Vago, H, Toth, A, Csecs, I, Czimbalmos, CS, Suhai, F I, Kecskes, K, Becker, D, Simor, T, Merkely, B, D'ascenzi, F, Pelliccia, A, Natali, BM, Cameli, M, Lisi, M, Focardi, M, Corrado, D, Bonifazi, M, Mondillo, S, Zaha, VG, Kim, GE, Su, KN, Zhang, J, Mikush, N, Ross, J, Palmeri, M, Young, LH, Tadic, M, Ilic, SI, Celic, VC, Jaimes, C, Gonzalez Mirelis, J, Gallego, M, Goirigolzarri, J, Pellegrinet, M, Poli, S, Prati, G, Vriz, O, Di Bello, V, Carerj, S, Zito, C, Mateescu, A, Popescu, BA, Antonini-Canterin, F, Chatzistamatiou, E, Moustakas, G, Memo, G, Konstantinidis, D, Mpampatzeva Vagena, I, Manakos, K, Traxanas, K, Vergi, N, Feretou, A, Kallikazaros, I, Hewing, B, Theres, L, Dreger, H, Spethmann, S, Stangl, K, Baumann, G, Knebel, F, Uejima, T, Itatani, K, Nakatani, S, Lancellotti, P, Seo, Y, Zamorano, JL, Ohte, N, Takenaka, K, group, VFM international collaboration, Naar, J, Mortensen, L, Johnson, J, Winter, R, Shahgaldi, K, Manouras, A, Braunschweig, F, Stahlberg, M, Coisne, D, Al Arnaout, A-M, Tchepkou, C, Raud Raynier, P, Diakov, C, Degand, B, Christiaens, L, Barbier, P, Mirea, O, Cefalu, C, Savioli, G, Guglielmo, M, Maltagliati, A, O'neill, L, Walsh, K, Hogan, J, Manzoor, T, Ahern, B, Owens, P, Savioli, G, Guglielmo, M, Mirea, O, Cefalu, C, Barbier, P, Sengelov, M, Biering-Sorensen, T, Jorgensen, PG, Bruun, NE, Fritz-Hansen, T, Bech, J, Olsen, FJ, Sivertsen, J, Jensen, JS, Marta, L, Abecasis, J, Reis, C, Ribeiras, R, Andrade, MJ, Mendes, M, D'andrea, A, Stanziola, A, Di Palma, E, Martino, M, Lanza, M, Betancourt, V, Maglione, M, Calabro', R, Russo, MG, Bossone, E, Vogt, M O, Meierhofer, CH, Rutz, TH, Fratz, S, Ewert, P, Roehlig, CH, Kuehn, A, Storsten, P, Eriksen, M, Remme, EW, Boe, E, Smiseth, OA, Skulstad, H, Ereminiene, E, Ordiene, R, Ivanauskas, V, Vaskelyte, J, Stoskute, N, Kazakauskaite, E, Benetis, R, Marketou, M, Parthenakis, F, Kontaraki, J, Zacharis, E, Maragkoudakis, S, Logakis, J, Roufas, K, Vougia, D, Vardas, P, Dado, E, Dado, E, Knuti, G, Djamandi, J, Shota, E, Sharka, I, Saka, J, Halmai, L, Nemes, A, Kardos, A, Neubauer, S, Kurnicka, K, Domienik-Karlowicz, J, Lichodziejewska, B, Goliszek, S, Grudzka, K, Krupa, M, Dzikowska-Diduch, O, Ciurzynski, M, Pruszczyk, P, Chung, H, Kim, JY, Yoon, YW, Min, PK, Lee, BK, Hong, BK, Rim, SJ, Kwon, HM, Choi, EY, Soya, OV, Kuryata, OV, Kakihara, R, Naruse, C, Inayoshi, A, El Sebaie, MAHA, Frer, ABDEL, Abdelsamie, MAGDY, Eldamanhory, AHMED, Ciampi, Q, Cortigiani, L, Simioniuc, A, Manicardi, C, Villari, B, Picano, E, Sicari, R, Ferferieva, V, Deluyker, D, Lambrichts, I, Rigo, JM, Bito, V, Kuznetsov, VA, Yaroslavskaya, EI, Krinochkin, DV, Pushkarev, GS, Gorbatenko, EA, Trzcinski, P, Michalski, BW, Lipiec, P, Szymczyk, E, Peczek, L, Nawrot, B, Chrzanowski, L, Kasprzak, JD, Todaro, MC, Zito, C, Khandheria, BK, Cusma-Piccione, M, La Carrubba, S, Antonini-Canterin, F, Di Bello, V, Oreto, G, Di Bella, G, Carerj, S, Gunyeli, E, Oliveira Da Silva, C, Sahlen, A, Manouras, A, Winter, R, Shahgaldi, K, Spampinato, RA, Tasca, M, Roche E Silva, JG, Strotdrees, E, Schloma, V, Dmitrieva, Y, Dobrovie, M, Borger, MA, Mohr, FW, Einarsen, E, Cramariuc, D, Lonnebakken, MT, Boman, K, Gohlke-Barwolf, C, Chambers, JB, Gerdts, E, Calin, A, Rosca, M, Beladan, CC, Mirescu Craciun, A, Gurzun, MM, Mateescu, A, Enache, R, Ginghina, C, Popescu, BA, Antova, E, Georgievska Ismail, LJ, Srbinovska, E, Andova, V, Peovska, I, Davceva, J, Otljanska, M, Vavulkis, M, Tsuruta, H, Kohsaka, S, Murata, M, Yasuda, R, Dan, M, Yashima, F, Inohara, T, Maekawa, Y, Hayashida, K, Fukuda, K, Migliore, R, Adaniya, ME, Barranco, MA, Miramont, G, Gonzalez, S, Tamagusuku, H, Abid, L, Ben Kahla, S, Charfeddine, S, Abid, D, Kammoun, S, Amano, M, Izumi, C, Miyake, M, Tamura, T, Kondo, H, Kaitani, K, Nakagawa, Y, Ghulam Ali, S, Fusini, L, Tamborini, G, Muratori, M, Gripari, P, Bottari, V, Celeste, F, Cefalu', C, Alamanni, F, Pepi, M, Obase, K, Mor-Avi, V, Weinert, L, Lang, R, Teixeira, R, Monteiro, R, Garcia, J, Ribeiro, M, Cardim, N, Goncalves, L, Miglioranza, MH, Muraru, D, Cavalli, G, Addetia, K, Cucchini, U, Mihaila, S, Tadic, M, Veronesi, F, Lang, RM, Badano, L, Galian Gay, L, Gonzalez Alujas, MT, Teixido Tura, G, Gutierrez Garcia, L, Rodriguez-Palomares, JF, Evangelista Masip, A, Conte, L, Fabiani, I, Giannini, C, La Carruba, S, De Carlo, M, Barletta, V, Petronio, AS, Di Bello, V, Mahmoud, H, Al-Ghamdi, M, Ghabashi, A, Salaun, E, Zenses, AS, Evin, M, Collart, F, Pibarot, P, Habib, G, Rieu, R, Fabregat Andres, O, Estornell Erill, J, Cubillos-Arango, A, Bochard-Villanueva, B, 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R, Gonzalez-Gay, MA, Novo, G, Marturana, I, Bonomo, V, Arvigo, L, Evola, V, Karfakis, G, Lo Presti, M, Verga, S, Novo, S, Petroni, R, Acitelli, A, Bencivenga, S, Cicconetti, M, Di Mauro, M, Petroni, A, Romano, S, Penco, M, Park, SM, Kim, SA, Kim, MN, Shim, WJ, Tadic, M, Majstorovic, AM, Ivanovic, BI, Celic, VC, Driessen, M M P, Meijboom, FJ, Mertens, L, Dragulescu, A, Friedberg, MK, De Stefano, F, Santoro, C, Buonauro, A, Muscariello, R, Lo Iudice, F, Ierano, P, Esposito, R, Galderisi, M, Sunbul, M, Kivrak, T, Durmus, E, Yildizeli, B, Mutlu, B, Rodrigues, AC, Daminello, E, Echenique, LS, Cordovil, A, Oliveira, W, Monaco, CH, Lira, E, Fischer, CH, Vieira, M, Morhy, S, Mignot, A, Jaussaud, J, Chevalier, L, Lafitte, S, D'ascenzi, F, Cameli, M, Curci, V, Alvino, F, Lisi, M, Focardi, M, Corrado, D, Bonifazi, M, Mondillo, S, Ikonomidis, I, Pavlidis, G, Lambadiari, V, Kousathana, F, Triantafyllidi, H, Varoudi, M, Dimitriadis, G, Lekakis, J, Cho, J S, Cho, EJ, Yoon, HJ, Ihm, SH, Lee, JH, 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DV, Kolunin, GV, Enina, TN, Sierraalta, W, Le Bihan, D, Barretto, RBM, Assef, JE, Gospos, M, Buffon, M, Ramos, AIO, Garcia, A, Pinto, IMF, Souza, AGMR, Mueller, H, Reverdin, S, Ehret, G, Conti, L, Dos Santos, S, Abdel Moneim, S S, Nhola, L F, Huang, R, Kohli, M, Longenbach, S, Green, M, Villarraga, H R, Bordun, K A, Jassal, D S, Mulvagh, S L, Evangelista, A, Madeo, A, Piras, P, Giordano, F, Giura, G, Teresi, L, Gabriele, S, Re, F, Puddu, P, Torromeo, C, Suwannaphong, S, Vathesatogkit, P, See, O, Yamwong, S, Katekao, W, Sritara, P, Iliuta, L, Szulik, M, Streb, W, Wozniak, A, Lenarczyk, R, Sliwinska, A, Kalarus, Z, Kukulski, T, Weng, K-P, Lin, C-C, Hein, S, Lehmann, L, Kossack, M, Juergensen, L, Katus, HA, Hassel, D, Turrini, F, Scarlini, S, Giovanardi, P, Messora, R, Mannucci, C, Bondi, M, Olander, R, Sundholm, JKM, Ojala, TH, Andersson, S, Sarkola, T, Karolyi, M, Kocsmar, I, Raaijmakers, R, Kitslaar, PH, Horvath, T, Szilveszter, B, Merkely, B, Maurovich-Horvat, P, Heart, Center, Vascular, University, Semmelweis, Budapest, Hungary, and Group, MTA-SE Lendület Cardiovascular Imaging Research

Abstract

Purpose: Although delayed-enhancement magnetic resonance imaging (DEMRI) is essential for diagnosis of cardiac sarcoidosis (CS), the test was not available when pacemaker was implamted. Recently, MR-conditional pacemaker has become avilable and we hypothesized that this device would be useful for diagnosis and management of CS. The aim of this study was to assess the diagnostic ability of MR-conditional pacemaker about CS in patients with advanced A-V nodal block (AAVB). Methods: Twenty-seven AAVB patients (14 men, 13 women; mean age, 69 ± 11 years) who were implanted MR-conditional pacemaker were studied. DEMRI was performed 6 weeks after implantation of permanent pacemaker. In patients with positive for DE, additional examinations like echocardiography, radioisotope imaging, biopsy, and coronary computed-tomography were performed due to confirm the diagnosis of CS and exclude coronary artery disease. Results: DE was observed in 12 patients (44 %). Out of 12 patients, 2 patients were excluded for having prior myocardial infarction. Seven of 10 (70 %) patients were diagnosed of CS by the consensus criteria. Compared with non-CS group, CS group had significantly lower age (61 ± 12 years vs. 72 ± 9 years p = 0.017). There was no significant difference about sex, angiotensin-converting enzyme, brain natriuretic peptide, and left ventricular ejection fraction between 2 groups. Six patients had started corticosteroid therapy and 5 patients (83%) recovered A-V nodal conduction. Conclusion: MR-conditional pacemaker was useful for diagnosis and management of patients with AAVB caused by CS. Figure Cardiac MRI in patient with AV block

Published
2014
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47. Poster session 5: Friday 5 December 2014, 14:00-18:00 * Location: Poster area

Author

Turco, A, Duchenne, J, Nuyts, J, Gheysens, O, Voigt, J-U, Claus, P, Vunckx, K, Muhtarov, K, Ozer, N, Turk, G, Sunman, H, Karakulak, U, Sahiner, L, Kaya, B, Yorgun, H, Hazirolan, T, Aytemir, K, Warita, S, Kawasaki, M, Tanaka, R, Houle, H, Yagasaki, H, Nagaya, M, Ono, K, Noda, T, Watanabe, S, Minatoguchi, S, Kyle, AS, Dauphin, C, Lusson, J R, Dragoi Galrinho, R, Rimbas, RC, Ciobanu, AO, Marinescu, B, Cinteza, M, Vinereanu, D, 28343/04.11.2013, number, Medicine, Funding Authority: University of, Davila, Pharmacy Carol, "Young Researchers" Projects – 2013, Buchar, Dragoi Galrinho, R, Ciobanu, AO, Rimbas, RC, Marinescu, B, Cinteza, M, Vinereanu, D, 159/1.5/S/138907, Grant POSDRU, Aparina, O, Stukalova, O, Butorova, E, Makeev, M, Bolotova, M, Parkhomenko, D, Golitsyn, SP, Zengin, E, Hoffmann, B A, Ramuschkat, M, Ojeda, F, Weiss, C, Willems, S, Blankenberg, S, Schnabel, R B, Sinning, C R, Schubert, U, Suhai, F I, Toth, A, Kecskes, K, Czimbalmos, CS, Csecs, I, Maurovich-Horvat, P, Simor, T, 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KC, Kim, BS, Kang, JH, Lee, ES, Imperadore, F, Del Greco, M, Jermendy, AL, Horcsik, DV, Horvath, T, Celeng, C, Nagy, E, Bartykowszki, A, Tarnoki, DL, Merkely, B, Maurovich-Horvat, P, Jermendy, G, Whitaker, J, Demir, OM, Walton, J, Wragg, A, Alfakih, K, Karolyi, M, Szilveszter, B, Raaijmakers, R, Giepmans, W, Horvath, T, Merkely, B, Maurovich-Horvat, P, Koulaouzidis, GK, Charisopoulou, DC, Mcarthur, TM, Jenkins, PJJ, Henein, MH, Silva, T, Ramos, R, Oliveira, M, Marques, H, Cunha, P, Silva, MN, Barbosa, C, Sofia, A, Pimenta, R, Ferreira, RC, Al-Mallah, M, and Alsaileek, A

Abstract

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

Published
2014
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48. Oral Abstract session: New insights in ventricular function: Friday 5 December 2014, 14:00-15:30 * Location: Agora

Author

Guglielmo, M, Cefalu', C, Savioli, G, Mirea, O, Fusini, L, Scali, MC, Simioniuc, A, Dini, F, Barbier, P, Hasselberg, NE, Haugaa, KH, Bernard-Brunet, A, Kongsgaard, E, Donal, E, Edvardsen, T, Mada, RO, Lysyansky, P, Winter, S, Fehske, W, Stankovic, I, Voigt, JU, Domingos, JS, Boardman, H, Leeson, P, Noble, JA, Kou, S, Caballero, L, Henri, C, Dulgheru, R, Magne, J, Daimon, M, Watanabe, H, Ito, H, Yoshikawa, J, Lancellotti, P, Brunet Bernard, A, Donal, E, Leclercq, C, Schnell, F, Fournet, M, Reynaud, A, Thebault, C, Mabo, P, Daubert, JC, Hernandez, A, Park, J, Naksuk, N, Thongprayoon, C, Gaba, P, Sharma, S, Rosenbaum, A, Hu, T, Kapa, S, Bruce, C, Asirvatham, S, Kosmala, W, Rojek, A, Karolko, B, Mysiak, A, and Przewlocka-Kosmala, M

Abstract

Purpose. We previously re-validated noninvasive estimation of pulmonary wedge pressure (PWP) measuring the CW pulmonary valve regurgitation end-diastolic pressure gradient (PWPecho). Using the latter as surrogate of PWP, we sought to test accuracy of left ventricular (LV) filling pressures estimation by the EAE guidelines algorithm (EAEalg) in a large non-selected population. Methods. We studied 1019 patients in sinus rhythm with GE Vivid7/9 systems (age: 10-93 y.; EF%: 13-83%, normal, n= 827 and reduced <50%, n= 192), in whom PWPecho could be measured (feasibility 75%), with normal pulmonary vascular resistances (WU< 2). The EAEalg combined E/e' (average), left atrial volume (LAV), E/A, Edec, pulmonary venous systolic fraction (SF), and echo-derived pulmonary systolic pressure (PSPe) to obtain 3 groups: normal, high PWP and not classifiable. These were compared to the PWPecho estimate. Results: Feasibility was high for all variables (E/E' 90%, LAV 93%, E/A 95%, Edec 90%, SF 91%, PSPe 92%), and for the EAEAlg (94%). Using the EAEAlg, 17% (n=137) of patients with normal in contrast to 10% (n=19) of patients with EF<50% were not classifiable, in the former secondary to the combination of a E/E'= 9-13 range, and LAV≥ 34ml/m2. In the remaining (classified, 84%) patients, utility of EAEalg even when limited to patients with EF<50% was still hampered by a low positive predictive value (PPV) (Table). Further, when only E/e' was tested in the same patients at ROC analysis (cutoff= 15; AUC=0.72, CI:0.6-0.8), accuracy was still impaired by a low PPV (53%), albeit a fair negative predictive value (NPV) (79%). Correlation between PWPecho and E/e' was modest even in patients with EF<50% (r=0.4, p<0.001), and at multiple regression analysis, E/e' was independently determined by age and mitral regurgitation in all patients, and by LV end-diastolic volume in EF<50% (r= 0.7, p<0.001) and by LV mass index in EF>50% (r= 0.64, p<.001). Conclusions. Noninvasive estimation of PWP by EAE guidelines is limited by a low PPV in both patients with and without reduced LV EF. In this setting, utility of the E/e' is limited, it being influenced by patient age, preload and LV mass. 1 SensitivitySpecificityPPVNPVEF≥50%72%78%18%98%EF<50%71%80%65%84%

Published
2014
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49. 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
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50. Poster session Friday 13 December - AM: 13/12/2013, 08:30-12:30 * Location: Poster area

Author

Gertsen, M, Nemes, A, Szolnoky, G, Altmayer, A, Gavaller, H, Kemeny, L, Forster, T, Park, J R, Jo, SY, Kim, KH, Kho, JS, Kwack, CH, Hwang, JY, Popovic, D, Ostojic, MC, Petrovic, M, Vujisic-Tesic, B, Arandjelovic, A, Banovic, M, Vukcevic, V, Petrovic, I, Popovic, B, Damjanovic, S, Placido, R, Marta, L, Ramalho, AR, Nobre Menezes, M, Cortez-Dias, N, Martins, S, Goncalves, S, Almeida, AG, Silva-Marques, J, Nunes-Diogo, A, Germanakis, I, Kakouri, P, Karachaliou, M, Vassilaki, M, Chatzi, L, Roumeliotaki, T, Kogevinas, M, Horst, J-P, Kelter-Kloepping, A, Koerperich, H, Barth, P, Haas, NA, Kececioglu, D, Laser, KT, Laser, KT, Horst, J-P, Kelter-Kloepping, A, Barth, P, Haas, NA, Kececioglu, D, Koerperich, H, Samiei, N, Nabati, M, Azari-Jafari, M, Vakili-Zarch, A, Parsaee, M, Haghjoo, M, Ahmed, A J, Val-Mejias, J E, Von Bulow, F M, Baltussen, E J M, Darban, AM, Claus, P, Voigt, JU, Rodriguez Munoz, DA, Moya Mur, JL, Gonzalez, A, Garcia Martin, A, Becker Filho, D, Fernandez Santos, S, Lazaro Rivera, C, Recio Vazquez, M, Fernandez Golfin, C, Zamorano Gomez, JL, Bandera, F, Pellegrino, M, Generati, G, Alfonzetti, E, Donghi, V, Castelvecchio, S, Garatti, A, Menicanti, L, Guazzi, M, Kowalik, E, Klisiewicz, A, Hoffman, P, Kim, EJ, Cho, I J, Oh, J, Chang, HJ, Park, J, Shin, S, Shim, CY, Hong, GR, Ha, JW, Chung, N, Park, JH, Lee, HS, Kim, HS, Ahn, KT, Kim, JH, Lee, JH, Choi, SW, Jeong, JO, Seong, IW, Holzendorf, V, Gelbrich, G, Wachter, R, Loeffler, M, Pieske, BM, Broda, A, Edelmann, F, Failure, German Competence Network for Heart, Kim, YH, Kim, DH, Kim, SH, Ahn, JC, Song, WH, Hashimoto, G, Suzuki, M, Yoshikawa, H, Otsuka, T, Kusunose, Y, Nakamura, M, Sugi, K, De Knegt, M C, Biering-Sorensen, T, Sogaard, P, Sivertsen, J, Jensen, JS, Mogelvang, R, Murbraech, K, Smeland, KH, Holte, H, Loge, JH, Kiserud, CE, Aakhus, S, Peteiro, J, Gargallo-Fernandez, P, Garcia-Guimaraes, M, Bouzas-Mosquera, A, Yanez-Wronenburger, JC, Martinez-Ruiz, D, Castro-Beiras, A, Trzcinski, PT, Jaskowski, MJ, 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Abstract

Pulmonary vascular dysfunction is claimed to be a contributor to the development of pulmonary hypertension (PH). Impaired systemic vascular reactivity is one of the essential factors in the pathogenesis of cardiovascular disease. The aim of the investigation was to study whether there is any association between systemic vascular function and pulmonary artery pressure (PAP) in patients who have associated causes for PH development, such as coronary heart disease (CHD) and chronic obstructive pulmonary disease (COPD). Methods: The brachial artery vasodilator responses were measured by the ultrasound technique in twenty patients with mild to moderate COPD (group I) and twenty age–matched and COPD stage-matched patients who had past history of myocardial infarction (NYHA II) (group II).Conventional echocardiographic variables were measured in the said patients too. Results: Both flow-mediated dilatation (FMD) and nitrate-mediated dilatation (NMD) were significantly lower, and PAP was significantly higher in the group II patients compared to the same parameters of group I patients. NMD was inversely correlated with PAP (r=-0.7, p=0.02) in group I patients. There was no interrelation between FMD and PAP in patients from group I. Neither FMD nor NMD were correlated with PAP in group II patients. A significant positive correlation between PAP and left ventricular mass index (r=0.8, p=0.003) was revealed in the said patients as well. Conclusions: Attenuated vasodilator response of brachial artery to nitroglycerine is associated with PAP elevation in COPD patients. PH is closely related to cardiac remodeling in COPD patients in whom CHD developed. These data suggest different "stages" of vascular and cardiac remodeling in patients with COPD alone and in coexistence with CHD. The obtained data can be useful in the selection of treatment as regards these patient categories.

Published
2013
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