Quantitative imaging analysis of posterior fossa ependymoma location in children

Noah D. Sabin, Thomas E. Merchant, Xingyu Li, Yimei Li, Paul Klimo, Frederick Boop, David W. Ellison, Robert J. Ogg

Research output: Contribution to journalArticle

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Abstract

Purpose: Imaging descriptions of posterior fossa ependymoma in children have focused on magnetic resonance imaging (MRI) signal and local anatomic relationships with imaging location only recently used to classify these neoplasms. We developed a quantitative method for analyzing the location of ependymoma in the posterior fossa, tested its effectiveness in distinguishing groups of tumors, and examined potential associations of distinct tumor groups with treatment and prognostic factors. Methods: Pre-operative MRI examinations of the brain for 38 children with histopathologically proven posterior fossa ependymoma were analyzed. Tumor margin contours and anatomic landmarks were manually marked and used to calculate the centroid of each tumor. Landmarks were used to calculate a transformation to align, scale, and rotate each patient’s image coordinates to a common coordinate space. Hierarchical cluster analysis of the location and morphological variables was performed to detect multivariate patterns in tumor characteristics. The ependymomas were also characterized as “central” or “lateral” based on published radiological criteria. Therapeutic details and demographic, recurrence, and survival information were obtained from medical records and analyzed with the tumor location and morphology to identify prognostic tumor characteristics. Results: Cluster analysis yielded two distinct tumor groups based on centroid location The cluster groups were associated with differences in PFS (p = .044), “central” vs. “lateral” radiological designation (p = .035), and marginally associated with multiple operative interventions (p = .064). Conclusions: Posterior fossa ependymoma can be objectively classified based on quantitative analysis of tumor location, and these classifications are associated with prognostic and treatment factors.

Original languageEnglish (US)
Pages (from-to)1441-1447
Number of pages7
JournalChild's Nervous System
Volume32
Issue number8
DOIs
StatePublished - Aug 1 2016

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Ependymoma
Neoplasms
Cluster Analysis
Magnetic Resonance Imaging
Anatomic Landmarks
Medical Records
Therapeutics
Demography
Recurrence

All Science Journal Classification (ASJC) codes

  • Pediatrics, Perinatology, and Child Health
  • Clinical Neurology

Cite this

Quantitative imaging analysis of posterior fossa ependymoma location in children. / Sabin, Noah D.; Merchant, Thomas E.; Li, Xingyu; Li, Yimei; Klimo, Paul; Boop, Frederick; Ellison, David W.; Ogg, Robert J.

In: Child's Nervous System, Vol. 32, No. 8, 01.08.2016, p. 1441-1447.

Research output: Contribution to journalArticle

Sabin, Noah D. ; Merchant, Thomas E. ; Li, Xingyu ; Li, Yimei ; Klimo, Paul ; Boop, Frederick ; Ellison, David W. ; Ogg, Robert J. / Quantitative imaging analysis of posterior fossa ependymoma location in children. In: Child's Nervous System. 2016 ; Vol. 32, No. 8. pp. 1441-1447.
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