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270 results on '"Duchenne, J"'

3. Mechanical dyssynchrony as a selection criterion for cardiac resynchronization therapy: Design of the AMEND-CRT trial.

Author

Puvrez, A, Duchenne, J, Donal, E, Gorcsan, J, Patel, HC, Marwick, TH, Smiseth, OA, Søgaard, P, Stankovic, I, Diogo, PG, Vörös, G, Voigt, J-U, Puvrez, A, Duchenne, J, Donal, E, Gorcsan, J, Patel, HC, Marwick, TH, Smiseth, OA, Søgaard, P, Stankovic, I, Diogo, PG, Vörös, G, and Voigt, J-U

Abstract

AIMS: One third of patients do not improve after cardiac resynchronization therapy (CRT). Septal flash (SF) and apical rocking (ApRock) are deformation patterns observed on echocardiography in most patients eligible for CRT. These markers of mechanical dyssynchrony have been associated to improved outcome after CRT in observational studies and may be useful to better select patients. The aim of this trial is to investigate whether the current guideline criteria for selecting patients for CRT should be modified and include SF and ApRock to improve therapy success rate, reduce excessive costs and prevent exposure to device-related complications in patients who would not benefit from CRT. METHODS: The AMEND-CRT trial is a multicentre, randomized, parallel-group, double-blind, sham-controlled trial with a non-inferiority design. The trial will include 578 patients scheduled for CRT according to the 2021 ESC guidelines who satisfy all inclusion criteria. The randomization is performed 1:1 to an active control arm ('guideline arm') or an experimental arm ('echo arm'). All participants receive a device, but in the echo arm, CRT is activated only when SF or ApRock or both are present. The outcome of both arms will be compared after 1 year. The primary outcome measures are the average change in left ventricular end-systolic volume and patient outcome assessed using a modified Packer Clinical Composite Score. CONCLUSIONS: The findings of this trial will redefine the role of echocardiography in CRT and potentially determine which patients with heart failure and a prolonged QRS duration should receive CRT, especially in patients who currently have a class IIa or class IIb recommendation.

Published
2024

6. 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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9. Model-based and Unsupervised Machine-learning Approaches for the Characterization of Responder Profiles for Cardiac Resynchronization Therapy

Author

Taconne, M., Rolle, V.L., Gallard, A., Owashi, K.P., Al Wazzan, A., Galli, E, Voigt, J-U, Duchenne, J, Smiseth, O., Donal, E, Hernandez, A., Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Oslo University Hospital [Oslo], and CHU Pontchaillou [Rennes]

Subjects
Cardiac resynchronization therapy, Barycenters, Physiology, Clustering approach, Model based approach, Patient specific, Physiological models, Machine learning approaches, Computational modelling, Machine learning, Clustering analysis, Model-based OPC, [SDV.IB]Life Sciences [q-bio]/Bioengineering, Unsupervised clustering, Unsupervised machine learning
Abstract

International audience; The objective of this study is to improve the inter-pretability of a previous unsupervised clustering analysis of the CRT response through a physiological model-based approach. The developed clustering approach was applied on 250 CRT candidates based on clinical, original and classical echocardiographic features. Patient-specific computational models were proposed for patients associated of each cluster barycenter in order to provide an ex-plainable analysis in relation with physiological mecha-nisms. Five phenogroups were identified from the clustering approach with response rates ranging from 50% to 92.7%. Concerning the model-based approach, a match was observed between the 16 experimental and simulated myocardial strain curves pattern with a mean RMSE of 3.97%(± 1.74) on the five patients. Moreover, the identified model parameters provide us information about the mecano-electrical coupling and tissue properties. The gain of information provides by the parameters model identification, added to the clinical and classical echocar-diographic features is promising for an understanding of LV mechanical dyssynchrony and the identification of patients suitable for CRT. © 2022 Creative Commons.

Published
2022
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10. 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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13. 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

35. Combined assessment of septal scar and septal flash by cardiac magnetic resonance identifies responders to cardiac resynchronization therapy

Author

Kjellstad Larsen, C, primary, Duchenne, J, additional, Galli, E, additional, Aalen, JM, additional, Lederlin, M, additional, Bogaert, J, additional, Kongsgaard, E, additional, Linde, C, additional, Penicka, M, additional, Donal, E, additional, Voigt, J-U, additional, Smiseth, OA, additional, and Hopp, E, additional

Published
2022
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45. 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

46. Why mechanical dyssynchrony remains relevant to cardiac resynchronization therapy. Letter regarding the article 'Optimized implementation of cardiac resynchronization therapy: a call for action for referral and optimization of care: a joint position statement from the Heart Failure Association (HFA), European Heart Rhythm Association (EHRA), and European Association of Cardiovascular Imaging (EACVI) of the European Society of Cardiology'

Author

Puvrez, A, Duchenne, J, Gorcsan, J, Marwick, TH, Smiseth, OA, Voigt, J-U, Puvrez, A, Duchenne, J, Gorcsan, J, Marwick, TH, Smiseth, OA, and Voigt, J-U

Published
2021

48. Can shear wave imaging distinguish between diffuse interstitial and replacement myocardial fibrosis?

Author

Petrescu, ANIELA, primary, Cvijic, M, additional, Bezy, S, additional, Santos, P, additional, Duchenne, J, additional, Orlowska, M, additional, Pedrosa, J, additional, Degtiarova, G, additional, Van Keer, J, additional, Von Bardeleben, S, additional, Droogne, W, additional, Van Cleemput, J, additional, Bogaert, J, additional, D"hooge, J, additional, and Voigt, J-U, additional

Published
2021
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