title: Evaluation of knowledge-based reconstruction for magnetic resonance volumetry of the right ventricle after arterial switch operation for dextro-transposition of the great arteries.
abstract: Right ventricular (RV) volume and function evaluation is essential in the follow-up of patients after arterial switch operation (ASO) for dextro-transposition of the great arteries (d-TGA). Cardiac magnetic resonance (CMR) imaging using the Simpson's method is the gold-standard for measuring these parameters. However, this method can be challenging and time-consuming, especially in congenital heart disease. Knowledge-based reconstruction (KBR) is an alternative method to derive volumes from CMR datasets. It is based on the identification of a finite number of anatomical RV landmarks in various planes, followed by computer-based reconstruction of the endocardial contours by matching these landmarks with a reference library of representative RV shapes. The purpose of this study was to evaluate the feasibility, accuracy, reproducibility and labor intensity of KBR for RV volumetry in patients after ASO for d-TGA. The CMR datasets of 17 children and adolescents (males 11, median age 15) were studied for RV volumetry using both KBR and Simpson's method. The intraobserver, interobserver and intermethod variabilities were assessed using Bland-Altman analyses. Good correlation between KBR and Simpson's method was noted. Intraobserver and interobserver variability for KBR showed excellent agreement. Volume and function assessment using KBR was faster when compared with the Simpson's method (5.1 ± 0.6 vs. 6.7 ± 0.9 min, p < 0.001). KBR is a feasible, accurate, reproducible and fast method for measuring RV volumes and function derived from CMR in patients after ASO for d-TGA.
authors.affiliation: The Labatt Family Heart Centre, The Hospital for Sick Children, University of Toronto, 555 University Avenue, Toronto, ON, M5G 1X8, Canada.
authors.forename: Emile C A
authors.initials: EC
authors.lastname: Nyns
authors.affiliation: The Labatt Family Heart Centre, The Hospital for Sick Children, University of Toronto, 555 University Avenue, Toronto, ON, M5G 1X8, Canada.
authors.forename: Andreea
authors.initials: A
authors.lastname: Dragulescu
authors.affiliation: The Labatt Family Heart Centre, The Hospital for Sick Children, University of Toronto, 555 University Avenue, Toronto, ON, M5G 1X8, Canada.|Department of Diagnostic Imaging, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada.
authors.forename: Shi-Joon
authors.initials: SJ
authors.lastname: Yoo
authors.affiliation: The Labatt Family Heart Centre, The Hospital for Sick Children, University of Toronto, 555 University Avenue, Toronto, ON, M5G 1X8, Canada. lars.grosse-wortmann@sickkids.ca.|Department of Diagnostic Imaging, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada. lars.grosse-wortmann@sickkids.ca.
authors.forename: Lars
authors.initials: L
authors.lastname: Grosse-Wortmann
mesh_terms: D000293:Adolescent; D059925:Anatomic Landmarks; D000069278:Arterial Switch Operation / Q000009:adverse effects*; D005240:Feasibility Studies; D005260:Female; D006352:Heart Ventricles / Q000000981:diagnostic imaging* / Q000503:physiopathology; D006801:Humans; D017380:Hypertrophy, Right Ventricular / Q000000981:diagnostic imaging* / Q000209:etiology / Q000503:physiopathology; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D051188:Knowledge Bases; D019028:Magnetic Resonance Imaging, Cine / Q000379:methods*; D008297:Male; D015588:Observer Variation; D009864:Ontario; D011237:Predictive Value of Tests; D015203:Reproducibility of Results; D012189:Retrospective Studies; D013997:Time Factors; D014188:Transposition of Great Vessels / Q000000981:diagnostic imaging / Q000601:surgery*; D016896:Treatment Outcome; D018497:Ventricular Dysfunction, Right / Q000000981:diagnostic imaging* / Q000209:etiology / Q000503:physiopathology; D016278:Ventricular Function, Right
keywords: Congenital heart disease; Dextro-transposition of the great arteries; Magnetic resonance imaging (MRI); Volumetry