Tissue Architecture and Cell Morphology of Squamous Cell Carcinomas Compared to Granular Cell Tumours’ Pseudo-epitheliomatous Hyperplasia and to Normal Oral Mucosae

  • R. Abu-Eid
  • G. Landini
Conference paper
Part of the Mathematics and Biosciences in Interaction book series (MBI)

Summary

Squamous cell carcinoma (SCC) is the most common malignant lesion of the oral cavity. One important diagnostic problem involves differentiating histopathologically between SCC and pseudoepitheliomatous hyperplasia (PEH) of the covering epithelium present in granular cell tumour (GCT) (a benign tumour), mimicking the invasive patterns of SCC. The complexity of the epithelial connective tissue interface (ECTI) in 84 profiles from normal oral mucosa, SCC and GCT-PEH cases was analyzed using both global and local fractal dimensions. Segmentation of the epithelial compartments into theoretical cell areas was performed using a space partition procedure and the morphological properties of these “cells” were analyzed. The complexity of the GCT-PEH ECTI profiles was marginally but significantly higher than that of SCC, which was significantly higher than normal ECTI profiles. The combined fractal and cell morphology data allowed up to 100%, and 96% correct discrimination between SCC and normal oral mucosa and between SCC and GCT-PEH respectively. In conclusion, we found that the architectural features of SCC, normal oral mucosa and GCT-PEH show differences that, when quantified, could be used for aiding in the diagnostic process.

Keywords

Fractal Dimension Granular Cell Granular Cell Tumour Correct Discrimination Normal Oral Mucosa 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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References

  1. [1]
    Krolls, S. and Hoffman, S. Squamous cell carcinoma of the oral soft tissues: a statistical analysis of 14,253 cases by age, sex, and race of patients. JADA. 1976; 92: 571–574.PubMedGoogle Scholar
  2. [2]
    Worrall, S. Oral Cancer-An Overview. Published by The British Association of Oral and Maxillofacial Surgery 2001.Google Scholar
  3. [3]
    Collins, B.M. and Jones, A.C. Multiple granular cell tumors of the oral cavity: report of a case and review of the literature. J Oral Maxillofac Surg 1995; 53(6): 707–11.PubMedCrossRefGoogle Scholar
  4. [4]
    Curtis, B.V., Calcaterra, T.C., and Coulson, W.F. Multiple granular cell tumor: a case report and review of the literature. Head Neck 1997; 19(7): 634–7.PubMedCrossRefGoogle Scholar
  5. [5]
    Felsenfeld, R.B. and Mintz, S.M. Seventeen granular cell lip tumors in a sixyear-old boy. J Oral Maxillofac Surg 1988; 46(7): 614–7.PubMedCrossRefGoogle Scholar
  6. [6]
    Junquera, L.M., de Vicente, J.C., Vega, J.A., et al. Granular-cell tumours: an immunohistochemical study. Br J Oral Maxillofac Surg 1997; 35(3): 180–4.PubMedCrossRefGoogle Scholar
  7. [7]
    Worsaae, N., Schwartz, O., and Pindborg, J.J. Follow-up study of 14 oral granular cell tumors. Int J Oral Surg 1979; 8(2): 133–9.PubMedCrossRefGoogle Scholar
  8. [8]
    Mirchandani, R., Sciubba, J.J., and Mir, R. Granular cell lesions of the jaws and oral cavity: a clinicopathologic, immunohistochemical, and ultrastructural study. J Oral Maxillofac Surg 1989; 47(12): 1248–55.PubMedGoogle Scholar
  9. [9]
    Chaudhry, A.P., Jacobs, M.S., SunderRaj, M., et al. A clinico-pathologic study of 50 adult oral granular cell tumors. J Oral Med 1984; 39(2): 97–103, 118.PubMedGoogle Scholar
  10. [10]
    Vance, S.F., 3rd and Hudson, R.P., Jr. Granular cell myoblastoma. Clinicopathologic study of forty-two patients. Am J Clin Pathol 1969; 52(2): 208–11.PubMedGoogle Scholar
  11. [11]
    Beekhuis, G.J. Granular-cell myoblastoma of the larynx. Report of three cases. Arch Otolaryngol 1960; 72: 314–20.PubMedGoogle Scholar
  12. [12]
    Hagen, J.O., Soule, E.H., and Gores, R.J. Granular-cell myoblastoma of the oral cavity. Oral Surg Oral Med Oral Pathol 1961; 14: 454–66.PubMedCrossRefGoogle Scholar
  13. [13]
    Strong, E.W., McDivitt, R.W., and Brasfield, R.D. Granular cell myoblastoma. Cancer 1970; 25(2): 415–22.PubMedGoogle Scholar
  14. [14]
    Jones, J.K., Kuo, T.T., Griffiths, C.M., and Itharat, S. Multiple granular cell tumor. Laryngoscope 1980; 90(10 Pt 1): 1646–51.PubMedGoogle Scholar
  15. [15]
    Wolber, R.A., Talerman, A., Wilkinson, E.J., and Clement, P.B. Vulvar granular cell tumors with pseudocarcinomatous hyperplasia: a comparative analysis with well-differentiated squamous carcinoma. Int J Gynecol Pathol 1991; 10(1): 59–66.PubMedCrossRefGoogle Scholar
  16. [16]
    Otsu, N. A threshold selection method from grey-level histograms. IEEE Trans Syst Man Cybern 1979; SMC-9(1): 62–66.MathSciNetGoogle Scholar
  17. [17]
    Abu Eid, R. and Landini, G. Quantification of the global and local complexity of the epithelial-connective tissue interface of normal, dysplastic, and neoplastic oral mucosae using digital imaging. Pathol Res Pract 2003; 199(7): 475–82.PubMedGoogle Scholar
  18. [18]
    Landini, G. and Rippin, J. Fractal dimension of the epithelial connective tissue interfaces in premalignant and malignant epithelial lesions of the floor of the mouth. Anal Quant Cytol Histol 1993; 15(2): 144–149.PubMedGoogle Scholar
  19. [19]
    Landini, G. and Rippin, J. How important is tumour shape? Quantification of the epithelial-connective tissue interface in oral lesions using local connected fractal dimension analysis. J Pathol 1996; 179(2): 210–7.PubMedCrossRefGoogle Scholar
  20. [20]
    Shannon, C. and Weaver, W. The mathematical theory of communication. University of Illinois press, 1949.Google Scholar
  21. [21]
    Landini, G. and Othman, I.E. Estimation of tissue layer level by sequential morphological reconstruction. J Microsc 2003; 209(Pt 2): 118–25.PubMedMathSciNetGoogle Scholar
  22. [22]
    Ruifrok, A. and Johnston, D. Quantification of histochemical staining by colour deconvolution. Anal Quant Cytol Histol 2001; 23: 291–299.PubMedGoogle Scholar
  23. [23]
    Vincent, L. and Soille, P. Watersheds in digital spaces: an efficient algorithm based on immersion simulations. IEEE Trans. Patt. Anal. Machine Intell. 1991; 13: 583–598.CrossRefGoogle Scholar
  24. [24]
    Niimi, K., Yoshizawa, M., Nakajima, T., and T, S. Vascular invasion in squamous cell carcinomas of human oral mucosa. Oral Oncol 2001; 37: 357–364.PubMedCrossRefGoogle Scholar
  25. [25]
    Williams, H., Sanders, D., Jankowski, J., Landini, G., and Brown, A. Expression of cadherins and catenins in oral epithelial dysplasia and squamous cell carcinoma. J Oral Pathol Med 1998; 27: 308–317.PubMedGoogle Scholar
  26. [26]
    van der Wal, N., Baak, J.P., Schipper, N.W., and van der Waal, I. Morphometric study of pseudoepitheliomatous hyperplasia in granular cell tumors of the tongue. J Oral Pathol Med 1989; 18(1): 8–10.PubMedGoogle Scholar
  27. [27]
    Vico, P., Dequanter, D., De-Saint-Aubin-Somerhausen, N., Andry, G., and Cartilier, L. Fractal dimension of the deep margin of tongue carcinoma: a prognostic tool? Microsc & Anal 2002; 90: 21–22.Google Scholar
  28. [28]
    Pindborg, J., Reibel, J., and Holmstrup, P. Subjectivity in evaluating oral epithelial dysplasia, carcinoma in situ and initial carcinoma. J Oral Pathol 1985; 14: 698–708.PubMedGoogle Scholar

Copyright information

© Birkhäuser Verlag Basel 2005

Authors and Affiliations

  • R. Abu-Eid
    • 1
  • G. Landini
    • 1
  1. 1.Oral pathology Unit, School of DentistryThe University of BirminghamBirminghamUK

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