Quantification of Left Ventricular Volume and Global Function using a Fast Fully Automated Segmentation Tool: Validation in a Clinical Setting - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue International Journal of Cardiac Imaging Année : 2013

Quantification of Left Ventricular Volume and Global Function using a Fast Fully Automated Segmentation Tool: Validation in a Clinical Setting

T. Dietenbeck
H. Houle
  • Fonction : Auteur
D. Friboulet
Olivier Bernard

Résumé

Real-time 3D echocardiography (RT3DE) has already been shown to be an accurate tool for left ventricular (LV) volume assessment. However, LV border detection in RT3DE remains a time-consuming task jeopardizing the application of this modality in routine practice. We have recently developed a 3D automated segmentation framework (BEAS) able to capture the LV morphology in real-time. The goal of this study was to assess the accuracy of this approach in extracting volumetric parameters in a clinical setting. 24 RT3DE exams were acquired in a group of healthy volunteers (# = 5) and diseased patients (# = 19), with LV volume/function within a range typically measured in a clinical setting. End-diastolic and end-systolic volumes (EDV, ESV) were manually contoured by 3 expert sonographers from which the stroke volume and ejection fraction (SV, EF) were calculated. The values extracted with BEAS were compared to the average of the 3 experts measurements using correlation and Bland-Altman statistics. Linear regression analysis showed a strong correlation between the automated algorithm and the reference values (R = 0.963, 0.947, 0.944 and 0.853 for EDV, ESV, SV and EF respectively). Bland-Altman analysis revealed a bias (limits of agreement) of 2.59 (−25.39, 30.57) ml, −2.11 (−24.91, 20.69) ml, 4.70 (12.93, 22.34) ml and 3.45 (−8.96, 15.87) %, for EDV, ESV, SV and EF respectively. Total analysis time using BEAS was 30.7 ± 7.5 s. BEAS allows for a fast and accurate quantification of 3D cardiac volumes and global function with minimal user input. It may therefore contribute to the integration of 3D echocardiography in routine clinical practice.

Dates et versions

hal-00828453 , version 1 (31-05-2013)

Identifiants

Citer

D. Barbosa, Brecht Heyde, T. Dietenbeck, H. Houle, D. Friboulet, et al.. Quantification of Left Ventricular Volume and Global Function using a Fast Fully Automated Segmentation Tool: Validation in a Clinical Setting. International Journal of Cardiac Imaging, 2013, 29 (2), pp.309-316. ⟨10.1007/s10554-012-0103-8⟩. ⟨hal-00828453⟩
113 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More