ESTABLISHING A REFERENCE RANGE FOR OLIGODENDROGLIOMA CLASSIFICATION USING HIGUCHI DIMENSION ANALYSIS

Herbert F. Jelinek

References

  1. [1] Capelle L, Oei P, Teoh H, Hamilton D, Palmer D,Low I, et al. Retrospective review of prognosticfactors, including 1p19q deletion, in low-gradeoligodendrogliomas and a review of recent publishedworks. J Med Imaging Radiat Oncol, 53(3),2009,305-9.
  2. [2] Ramirez C, Bowman C, Maurage CA, Dubois F,Blond S, Porchet N, et al. Loss of 1p, 19q, and 10qheterozygosity prospectively predicts prognosis ofoligodendroglial tumors--towards individualizedtumor treatment? Neuro Oncol, 12(5),2010, 490-9.
  3. [3] Davis FG, Malmer BS, Aldape K, Barnholtz-SloanJS, Bondy ML, Brännström T, et al. Issues ofdiagnostic review in brain tumor studies: from theBrain Tumor Epidemiology Consortium. CancerEpidemiol Biomarkers Prev, 17(3),2008, 484-9.
  4. [4] Ueki K. Oligodendroglioma: impact of molecularbiology on its definition, diagnosis and management.Neuropathol, 25(3),2005, 247-53.
  5. [5] Scheie D, Cvancarova M, Mørk S, Skullerud K,Andresen PA, Benestad I, et al. Can morphologypredict 1p/19q loss in oligodendroglial tumours?Histopathology, 53(5),2008, 578-87.
  6. [6] Chen J, Shan S, He C, Zhao G, Pietikäinen M, ChenX, GaoW. WLD: A robust local image descriptor.IEEE Trans. Pattern Anal. Mach. Intell., 32,2010,1705-19.[6] Ott E, Chaos in dynamical systems. (London:Cambridge University Press 1994).
  7. [7] Jelinek HF, Cesar JRM, Leandro JJG, Spence I.Automated morphometric analysis of the cat retinalalpha/Y, beta/X and delta ganglion cells usingwavelet statistical moment and clusteringalgorithms. J Integr Neurosci, 3(4),2004, 415-32.
  8. [8] Klonowski W, Stepien R, Stepien P. Simple fractalmethod of assessment of histological images forapplication in medical diagnostics. NonlinearBiomedical Physics, 4(1),2010,7:http://www.nonlinearbiomedphys.com/content/4/1/7
  9. [9] Jelinek HF, Cornforth DJ, Roberts T, Landini G,Bourke P, Bossomaier T. Image processing of finitesize rat retinal ganglion cells using multifractal andlocal connected fractal analysis. Complex SystemsConference, Cairns, Australia; 2004.
  10. [10]Paumgartner D, Losa G, Weibel ER. Resolutioneffect on the sterological estimation of surface andvolume and its interpretation in fractal dimensions. JMicrosc, 121,1981, 51-63.
  11. [11]Mashiah A, Wolach O, Sandbank J. Lymphoma andleukemia cells possess fractal dimensions thatcorrelate with their biological features. ActaHaematologica,2008, 142-50.
  12. [12]Abu Eid R, Landini G. Morphometrical differencesbetween pseudo-epitheliomatous hyperplasia ingranular cell tumours and squamous cell carcinomas.Histopathology, 48,2006, 407-16.
  13. [13]Mattfeldt T. Spatial pattern analysis using chaostheory: a nonlinear deterministic approach to thehistological textures of tumours. In: G.A. Losa,Nonnenmacher T.F., Merlini D., Weibel E.R., eds.Fractals in Biology and Medicine. Basel: Birkhäuser1992.
  14. [14]Rangayyan RM, Nguyen TM. Fractal analysis ofcontours of breast masses in mammograms. Journalof Digital Imaging, 20(3),2007, 223-37.
  15. [15]Rothhammer T, Bosserhoff AK. Epigenetic events inmalignant melanoma. Pigment Cell Res, 20, 92-111.
  16. [16]Smith JS, Perry A, Borell TJ, Lee HK, O’Fallon J,Hosek SM. Alterations of chromosome arms 1p and19q as predictors of survival in oligodendrogliomas,astrocytomas, and mixed oligoastrocytomas. J ClinOncol, 18(3),2000, 636-43.
  17. [17]Higuchi T. Approach to an irregular time series onthe basis of fractal theory. Physica D, 31(2),1998,277-83.
  18. [18]Ahammer H. Higuchi Dimension of Digital Images.PLoS One, 6(9),2011.
  19. [19]Parkinson JF, Afaghi V, Payne CA, Buckland ME,Brewer JM, Biggs MT, et al. The impact ofmolecular and clinical factors on patient outcome inoligodendroglioma from 20†years' experience at asingle centre. Journal of Clinical Neuroscience,18(3),2011, 329-33.

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