4.7 Article

Reference Values for Ventricular Volumes and Pulmonary Artery Dimensions in Pediatric Patients with Transposition of the Great Arteries After Arterial Switch Operation

Journal

JOURNAL OF MAGNETIC RESONANCE IMAGING
Volume 54, Issue 4, Pages 1233-1245

Publisher

WILEY
DOI: 10.1002/jmri.27602

Keywords

transposition of the great arteries; normal values; pulmonary arteries; ventricular volumes; cardiovascular magnetic resonance

Funding

  1. Deutsches Zentrum fur Herz-Kreislaufforschung e.V

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Patients with TGA after ASO often have different PA anatomy and common PA stenoses. This study used MRI to establish disease-specific reference ranges for PA dimensions and biventricular volumes and mass in 69 pediatric patients with TGA. The results showed strong associations between body surface area and PA diameters, as well as between height and biventricular volumes.
Background Pulmonary artery (PA) anatomy in patients with transposition of the great arteries (TGA) after arterial switch operation (ASO) with Lecompte manoeuvre is different compared to healthy subjects, and stenoses of the PA are common. Magnetic resonance imaging (MRI) is an excellent imaging modality to assess PA anatomy in TGA patients. However, disease-specific reference values for PA size are scarce. Purpose To establish disease-specific reference ranges for PA dimensions and for biventricular volumes and mass. Study Type Retrospective. Subjects A total of 69 pediatric patients with TGA after ASO (median age 12.6 years; range 5-17.8 years; 13 females and 56 males). Field Strength/Sequence 3.0 T, steady-state free precession (SSFP) and gradient echo cine sequences and four-dimensional time-resolved magnetic resonance angiography with keyhole. Assessment Right and left PA (RPA, LPA) were each measured at three locations during its course around the aorta. Ventricular volumes, mass, and ejection fraction were measured from a stack of short axis cine images. Statistical Tests The lambda-mu-sigma (LMS) method of Cole and Green, univariate and multivariate linear models, and t-test. Results Centile graphs and tables for PA dimensions, biventricular volumes, mass, and ejection fraction were created. Univariate linear analysis showed significant associations (P < 0.05) between body surface area (BSA), height, and weight with systolic MPA and RPA diameter. In multivariate linear analysis, only BSA remained a strong predictor for main PA and RPA diameters. For biventricular volumes, the univariate linear model revealed a strong influence of BSA, height, weight, and age (all P < 0.05). On multivariate linear analysis, only body height remained associated. Data Conclusion Uni- and multivariate linear analyses showed a strong association between BSA and PA diameters, as well as between height and biventricular volumes, and therefore, centile tables and graphs are presented accordingly. Our data may improve MR image interpretation and may serve as a reference in future studies. Level of Evidence 4 Technical Efficacy Stage 2

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