- Poster presentation
- Open Access
Inter -observer variability in manual measurement of aortic root dimensions in pediatric patients: benefits of using a semi-automated tool
© Krishnamurthy et al.; licensee BioMed Central Ltd. 2014
- Published: 16 January 2014
- Aortic Root
- Manual Measurement
- Early Systole
- Image Analysis Tool
- Aortic Root Dimension
Accurate measurement of maximal aortic root dimensions is important for informed decision making on the timing/nature of aortic valve replacement surgeries in pediatric patients. Currently, the observer manually measures the following metrics to quantify maximum aortic root dimensions: 1) Cusp to Commisure (Cu-Co), and 2) Cusp to Cusp (Cu-Cu) lengths. This introduces significant inter-observer variability (IOV), especially if a followup study is performed in a different institution than the previous study. Hypothesis: A simple post-processing tool that allows the observer to perform semi-automated measurements using reproducible landmarks will enable accurate quantification of maximal aortic root dimensions as well as decrease IOV, thereby leading to reproducibility of measurements.
Manual measurements under-estimate aortic root dimensions and present a statistically significant higher IOV when compared to semi-automated measurements. Using an automated tool will reduce the visual subjectivity induced by different observers. We demonstrate that a simple semi-automated tool consistently captures the maximum dimension of the aortic root when compared to the conventional method, and significantly improves IOV. While its benefit might not be substantial in a single center studies, this will be useful in detecting subtle interval change on serial studies conducted at varying imaging centers.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.