1
|
Kishimoto J, de Ribaupierre S, Salehi F, Romano W, Lee DSC, Fenster A. Preterm neonatal lateral ventricle volume from three-dimensional ultrasound is not strongly correlated to two-dimensional ultrasound measurements. J Med Imaging (Bellingham) 2016; 3:046003. [PMID: 27872874 DOI: 10.1117/1.jmi.3.4.046003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2016] [Accepted: 10/06/2016] [Indexed: 11/14/2022] Open
Abstract
The aim of this study is to compare longitudinal two-dimensional (2-D) and three-dimensional (3-D) ultrasound (US) estimates of ventricle size in preterm neonates with posthemorrhagic ventricular dilatation (PHVD) using quantitative measurements of the lateral ventricles. Cranial 2-D US and 3-D US images were acquired from neonatal patients with diagnosed PHVD within 10 min of each other one to two times per week and analyzed offline. Ventricle index, anterior horn width, third ventricle width, and thalamo-occipital distance were measured on the 2-D images and ventricle volume (VV) was measured from 3-D US images. Changes in the measurements between successive image sets were also recorded. No strong correlations were found between VV and 2-D US measurements ([Formula: see text] between 0.69 and 0.36). Additionally, weak correlations were found between changes in 2-D US measurements and 3-D US VV ([Formula: see text] between 0.13 and 0.02). A trend was found between increasing 2-D US measurements and 3-D US-based VV, but this was not the case when comparing changes between 3-D US VV and 2-D US measurements. If 3-D US-based VV provides a more accurate estimate of ventricle size than 2-D US measurements, moderate-weak correlations with 3-D US suggest that monitoring preterm patients with PHVD using 2-D US measurements alone might not accurately represent whether the ventricles are progressively dilating. A volumetric measure (3-D US or MRI) could be used instead to more accurately represent changes.
Collapse
Affiliation(s)
- Jessica Kishimoto
- The University of Western Ontario, Robarts Research Institute, Imaging Research Laboratories, 1151 Richmond Street, London, Ontario N6A 3K7, Canada; The University of Western Ontario, Department of Medical Biophysics, 1151 Richmond Street, London, Ontario N6A 3K7, Canada
| | - Sandrine de Ribaupierre
- The University of Western Ontario, Department of Medical Biophysics, 1151 Richmond Street, London, Ontario N6A 3K7, Canada; London Health Sciences Centre, Children's Hospital, Department of Paediatrics, 800 Commissioners Road East, London, Ontario N6A 5W9, Canada; London Health Sciences Centre, Department of Clinical Neurological Sciences, 339 Windermere Road, London, Ontario N6A 5A5, Canada
| | - Fateme Salehi
- The University of Western Ontario , Department of Radiology, 1151 Richmond Street, London, Ontario N6A 3K7, Canada
| | - Walter Romano
- The University of Western Ontario , Department of Radiology, 1151 Richmond Street, London, Ontario N6A 3K7, Canada
| | - David S C Lee
- London Health Sciences Centre , Children's Hospital, Department of Paediatrics, 800 Commissioners Road East, London, Ontario N6A 5W9, Canada
| | - Aaron Fenster
- The University of Western Ontario, Robarts Research Institute, Imaging Research Laboratories, 1151 Richmond Street, London, Ontario N6A 3K7, Canada; The University of Western Ontario, Department of Medical Biophysics, 1151 Richmond Street, London, Ontario N6A 3K7, Canada
| |
Collapse
|