Identifying quantitative imaging features of posterior fossa syndrome in longitudinal MRI

Spiteri, Michaela, Windridge, David ORCID: https://orcid.org/0000-0001-5507-8516, Avula, Shivaram, Kumar, Ram and Lewis, Emma (2015) Identifying quantitative imaging features of posterior fossa syndrome in longitudinal MRI. Journal of Medical Imaging, 2 (4). 044502. ISSN 2329-4302 (doi:10.1117/1.JMI.2.4.044502)

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Abstract

Up to 25% of children who undergo brain tumor resection surgery in the posterior fossa develop posterior fossa syndrome (PFS). This syndrome is characterized by mutism and disturbance in speech. Our hypothesis is that there is a correlation between PFS and the occurrence of hypertrophic olivary degeneration (HOD) in structures within the posterior fossa, known as the inferior olivary nuclei (ION). HOD is exhibited as an increase in size and intensity of the ION on an MR image. Longitudinal MRI datasets of 28 patients were acquired consisting of pre-, intra-, and postoperative scans. A semiautomated segmentation process was used to segment the ION on each MR image. A full set of imaging features describing the first- and second-order statistics and size of the ION were extracted for each image. Feature selection techniques were used to identify the most relevant features among the MRI features, demographics, and data based on neuroradiological assessment. A support vector machine was used to analyze the discriminative features selected by a generative k-nearest neighbor algorithm. The results indicate the presence of hyperintensity in the left ION as the most diagnostically relevant feature, providing a statistically significant improvement in the classification of patients (p=0.01) when using this feature alone.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 19483
Notes on copyright: Copyright 2015 Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
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Depositing User: David Windridge
Date Deposited: 22 Apr 2016 10:34
Last Modified: 31 May 2019 03:37
URI: https://eprints.mdx.ac.uk/id/eprint/19483

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