Assessment of right ventricle volumes and function by cardiac MRI: quantification of the regional and global interobserver variability.
Fiche publication
Date publication
juin 2012
Journal
Magnetic resonance in medicine
Auteurs
Membres identifiés du Cancéropôle Est :
Pr MARIE Pierre-Yves, Dr VUISSOZ Pierre-André
Tous les auteurs :
Bonnemains L, Mandry D, Marie PY, Micard E, Chen B, Vuissoz PA
Lien Pubmed
Résumé
Reproducibility of the manual assessment of right ventricle volumes by short-axis cine-MRI remains low and is often attributed to the difficulty in separating the right atrium from the ventricle. This study was designed to evaluate the regional interobserver variability of the right ventricle volume assessment to identify segmentation zones with the highest interobserver variability. Short-axis views of 90 right ventricles (30 hypertrophic, 30 dilated, and 30 normal) were acquired with 2D steady-state free precession sequences at 1.5 T and were manually segmented by two observers. The two segmentations were compared and the variations were quantified with a variation score based on the Hausdorff distance between the two segmentations and the interobserver 95% limits of concordance of the global volumes. The right ventricles were semiautomatically split into four subregions: apex, mid-ventricle, tricuspid zone, and infundibulum. These four subregions represented 11%, 34%, 36%, and 19% of the volume but, respectively, yielded variation scores of 8%, 16%, 42%, and 34%. The infundibulum yielded the highest interobserver regional variability although its variation score remained comparable to the tricuspid zone due to its lower volume. These results emphasize the importance of standardizing the segmentation of the infundibulum and the tricuspid zone to improve reproducibility.
Mots clés
Adult, Algorithms, Female, Humans, Image Enhancement, methods, Image Interpretation, Computer-Assisted, methods, Imaging, Three-Dimensional, methods, Magnetic Resonance Imaging, Cine, methods, Male, Middle Aged, Observer Variation, Organ Size, Pattern Recognition, Automated, methods, Reproducibility of Results, Sensitivity and Specificity, Ventricular Dysfunction, Left, pathology
Référence
Magn Reson Med. 2012 Jun;67(6):1740-6