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Quantitative imaging analysis of posterior fossa ependymoma location in children

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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.

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References

  1. Ostrom QT, de Blank PM, Kruchko C, Petersen CM, Liao P, Finlay JL, Stearns DS, Wolff JE, Wolinsky Y, Letterio JJ, Barnholtz-Sloan JS (2015) Alex’s Lemonade Stand Foundation infant and childhood primary brain and central nervous system tumors diagnosed in the United States in 2007-2011. Neuro-Oncology 16(Suppl 10):x1–x36. doi:10.1093/neuonc/nou327

    Article  PubMed  Google Scholar 

  2. Vaidya K, Smee R, Williams JR (2012) Prognostic factors and treatment options for paediatric ependymomas. J Clin Neurosci 19(9):1228–1235

    Article  CAS  PubMed  Google Scholar 

  3. Kasliwal MK, Chandra PS, Sharma BS (2007) Images in neuro oncology: primary extraaxial cerebellopontine angle ependymoma. J Neuro-Oncol 83(1):31–32. doi:10.1007/s11060-007-9330-6

    Article  Google Scholar 

  4. Sanford RA, Merchant TE, Zwienenberg-Lee M, Kun LE, Boop FA (2009) Advances in surgical techniques for resection of childhood cerebellopontine angle ependymomas are key to survival. Childs Nerv Syst 25(10):1229–1240. doi:10.1007/s00381-009-0886-7

    Article  PubMed  Google Scholar 

  5. Ikezaki K, Matsushima T, Inoue T, Yokoyama N, Kaneko Y, Fukui M (1993) Correlation of microanatomical localization with postoperative survival in posterior fossa ependymomas. Neurosurgery 32(1):38–44

    Article  CAS  PubMed  Google Scholar 

  6. U-King-Im JM, Taylor MD, Raybaud C (2010) Posterior fossa ependymomas: new radiological classification with surgical correlation. Childs Nerv Syst 26(12):1765–1772

    Article  PubMed  Google Scholar 

  7. Tamburrini G, D’Ercole M, Pettorini B, Caldarelli M, Massimi L, Di Rocco C (2009) Survival following treatment for intracranial ependymoma: a review. Childs Nerv Syst 25(10):1303–1312

    Article  CAS  PubMed  Google Scholar 

  8. Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, Preibisch S, Rueden C, Saalfeld S, Schmid B (2012) Fiji: an open-source platform for biological-image analysis. Nat Methods 9(7):676–682

    Article  CAS  PubMed  Google Scholar 

  9. Rasband W (1997) 1997–2012. Image J. US National Institutes of Health, Bethesda, MD, USA, Available at: htt p. imagej nih gov/ij 2012

  10. Schmid B, Schindelin J, Cardona A, Longair M, Heisenberg M (2010) A high-level 3D visualization API for java and ImageJ. BMC Bioinformatics 11(1):274

    Article  PubMed  PubMed Central  Google Scholar 

  11. Ollion J, Cochennec J, Loll F, Escudé C, Boudier T (2013) TANGO: a generic tool for high-throughput 3D image analysis for studying nuclear organization. Bioinformatics 29(14):1840–1841

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Team RC (2014) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria, 2012. ISBN 3–900051–07-0,

  13. Murtagh F (1985) Multidimensional clustering algorithms. Compstat Lectures, Vienna: Physika Verlag 1985:1

    Google Scholar 

  14. van Veelen-Vincent ML, Pierre-Kahn A, Kalifa C, Sainte-Rose C, Zerah M, Thorne J, Renier D (2002) Ependymoma in childhood: prognostic factors, extent of surgery, and adjuvant therapy. J Neurosurg 97(4):827–835. doi:10.3171/jns.2002.97.4.0827

    Article  PubMed  Google Scholar 

  15. Figarella-Branger D, Civatte M, Bouvier-Labit C, Gouvernet J, Gambarelli D, Gentet JC, Lena G, Choux M, Pellissier JF (2000) Prognostic factors in intracranial ependymomas in children. J Neurosurg 93(4):605–613. doi:10.3171/jns.2000.93.4.0605

    Article  CAS  PubMed  Google Scholar 

  16. Witt H, Mack SC, Ryzhova M, Bender S, Sill M, Isserlin R, Benner A, Hielscher T, Milde T, Remke M, Jones DT, Northcott PA, Garzia L, Bertrand KC, Wittmann A, Yao Y, Roberts SS, Massimi L, Van Meter T, Weiss WA, Gupta N, Grajkowska W, Lach B, Cho YJ, von Deimling A, Kulozik AE, Witt O, Bader GD, Hawkins CE, Tabori U, Guha A, Rutka JT, Lichter P, Korshunov A, Taylor MD, Pfister SM (2011) Delineation of two clinically and molecularly distinct subgroups of posterior fossa ependymoma. Cancer Cell 20(2):143–157. doi:10.1016/j.ccr.2011.07.007

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Nagib MG, O’Fallon MT (1996) Posterior fossa lateral ependymoma in childhood. Pediatr Neurosurg 24(6):299–305

    Article  CAS  PubMed  Google Scholar 

  18. Merchant TE, Li C, Xiong X, Kun LE, Boop FA, Sanford RA (2009) Conformal radiotherapy after surgery for paediatric ependymoma: a prospective study. Lancet Oncol 10(3):258–266

    Article  PubMed  PubMed Central  Google Scholar 

  19. Yuh E, Barkovich A, Gupta N (2009) Imaging of ependymomas: MRI and CT. Childs Nerv Syst 25(10):1203–1213

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Sala F, Talacchi A, Mazza C, Prisco R, Ghimenton C, Bricolo A (1998) Prognostic factors in childhood intracranial ependymomas: the role of age and tumor location. Pediatr Neurosurg 28(3):135–142

    Article  CAS  PubMed  Google Scholar 

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Authors and Affiliations

  1. Department of Diagnostic Imaging, St. Jude Children’s Research Hospital, 262 Danny Thomas Place (MS 220), Memphis, TN, 38105, USA

    Noah D. Sabin & Robert J. Ogg

  2. Department of Radiation Oncology, St. Jude Children’s Research Hospital, Memphis, TN, USA

    Thomas E. Merchant

  3. Department of Biostatistics, St. Jude Children’s Research Hospital, Memphis, TN, USA

    Xingyu Li & Yimei Li

  4. Department of Surgery, St. Jude Children’s Research Hospital, Memphis, TN, USA

    Paul Klimo Jr. & Frederick A. Boop

  5. Department of Pathology, St. Jude Children’s Research Hospital, Memphis, TN, USA

    David W. Ellison

  6. Semmes-Murphey Neurologic and Spine Institute, Memphis, TN, USA

    Paul Klimo Jr. & Frederick A. Boop

Authors
  1. Noah D. Sabin
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  2. Thomas E. Merchant
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  3. Xingyu Li
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  4. Yimei Li
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  5. Paul Klimo Jr.
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  6. Frederick A. Boop
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  7. David W. Ellison
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  8. Robert J. Ogg
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Corresponding author

Correspondence to Noah D. Sabin.

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We declare that we have no conflict of interest.

Additional information

This work was supported in part by the National Cancer Institute through a Cancer Center Support (CORE) grant (CA21765) and by the American Lebanese Syrian Associated Charities (ALSAC).

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Sabin, N.D., Merchant, T.E., Li, X. et al. Quantitative imaging analysis of posterior fossa ependymoma location in children. Childs Nerv Syst 32, 1441–1447 (2016). https://doi.org/10.1007/s00381-016-3092-4

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  • DOI: https://doi.org/10.1007/s00381-016-3092-4

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