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Analytical Cellular Pathology
Volume 2015 (2015), Article ID 250265, 11 pages
http://dx.doi.org/10.1155/2015/250265
Research Article

Fractal Analysis and the Diagnostic Usefulness of Silver Staining Nucleolar Organizer Regions in Prostate Adenocarcinoma

1Department of Pathology, University of Medicine and Pharmacy of Craiova, Petru Rares Street 2, Dolj, 200349 Craiova, Romania
2Department of Research Methodology, University of Medicine and Pharmacy of Craiova, Petru Rares Street 2, Dolj, 200349 Craiova, Romania

Received 29 April 2015; Accepted 13 July 2015

Academic Editor: Anant Madabhushi

Copyright © 2015 Alex Stepan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. A. Jemal, F. Bray, M. M. Center, J. Ferlay, E. Ward, and D. Forman, “Global cancer statistics,” CA: A Cancer Journal for Clinicians, vol. 61, no. 2, pp. 69–90, 2011. View at Publisher · View at Google Scholar · View at Scopus
  2. J. N. Eble, G. Sauter, J. I. Epstein, and I. A. Sesterhenn, Pathology and Genetics of Tumours of the Urinary System and Male Genital Organs, IARC Press, Lyon, France, 2008.
  3. J. T. Kwak, S. M. Hewitt, S. Sinha, and R. Bhargava, “Multimodal microscopy for automated histologic analysis of prostate cancer,” BMC Cancer, vol. 11, article 62, 2011. View at Publisher · View at Google Scholar · View at Scopus
  4. J. Ferlay, E. Steliarova-Foucher, J. Lortet-Tieulent et al., “Cancer incidence and mortality patterns in Europe: estimates for 40 countries in 2012,” European Journal of Cancer, vol. 49, no. 6, pp. 1374–1403, 2013. View at Google Scholar · View at Scopus
  5. J. Ferlay, H.-R. Shin, F. Bray, D. Forman, C. Mathers, and D. M. Parkin, “Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008,” International Journal of Cancer, vol. 127, no. 12, pp. 2893–2917, 2010. View at Publisher · View at Google Scholar · View at Scopus
  6. R. B. Shah and M. Zhou, Prostate Biopsy Interpretation: An Illustrated Guide, Springer, New York, NY, USA, 2012.
  7. K. A. Trujillo, A. C. Jones, J. K. Griffith, and M. Bisoffi, “Markers of field cancerization: proposed clinical applications in prostate biopsies,” Prostate Cancer, vol. 2012, Article ID 302894, 12 pages, 2012. View at Publisher · View at Google Scholar
  8. D. Ploton, M. Menager, P. Jeannesson, G. Himber, F. Pigeon, and J. J. Adnet, “Improvement in the staining and in the visualization of the argyrophilic proteins of the nucleolar organizer region at the optical level,” The Histochemical Journal, vol. 18, no. 1, pp. 5–14, 1986. View at Publisher · View at Google Scholar · View at Scopus
  9. M. V. P. Fordham, A. H. Burdge, J. Matthews, G. Williams, and T. Cooke, “Prostatic carcinoma cell DNA content measured by flow cytometry and its relation to clinical outcome,” British Journal of Surgery, vol. 73, no. 5, pp. 400–403, 1986. View at Publisher · View at Google Scholar · View at Scopus
  10. A. Pollack, D. J. Grignon, K. H. Heydon et al., “Prostate cancer DNA ploidy and response to salvage hormone therapy after radiotherapy with or without short-term total androgen blockade: an analysis of RTOG 8610,” Journal of Clinical Oncology, vol. 21, no. 7, pp. 1238–1248, 2003. View at Publisher · View at Google Scholar · View at Scopus
  11. S. E. Bloom and C. Goodpasture, “An improved technique for selective silver staining of nucleolar organizer regions in human chromosomes,” Human Genetics, vol. 34, no. 2, pp. 199–206, 1976. View at Publisher · View at Google Scholar · View at Scopus
  12. M. Aubele, S. Biesterfeld, M. Derenzini et al., “Guidelines of AgNOR quantitation. Committee on AgNOR Quantitation within the European Society of Pathology,” Zentralblatt für Pathologie, vol. 140, no. 1, pp. 107–108, 1994. View at Google Scholar · View at Scopus
  13. A. B. Hansen and B. Ostergard, “Nucleolar organiser regions in hyperplastic and neoplastic prostatic tissue,” Virchows Archiv. A Pathological Anatomy and Histopathology, vol. 417, no. 1, pp. 9–13, 1990. View at Publisher · View at Google Scholar · View at Scopus
  14. S. Mamaeva, R. Lundgren, P. Elfving et al., “AgNOR staining in benign hyperplasia and carcinoma of the prostate,” Prostate, vol. 18, no. 2, pp. 155–162, 1991. View at Publisher · View at Google Scholar · View at Scopus
  15. W. A. Sakr, F. H. Sarkar, P. Sreepathi, S. Drozdowicz, and J. D. Crissman, “Measurement of cellular proliferation in human prostate by AgNOR, PCNA, and SPF,” Prostate, vol. 22, no. 2, pp. 147–154, 1993. View at Publisher · View at Google Scholar · View at Scopus
  16. A. R. Schned, “Nucleolar organizer regions as discriminators for the diagnosis of well-differentiated adenocarcinoma of the prostate,” Archives of Pathology & Laboratory Medicine, vol. 117, no. 10, pp. 1000–1004, 1993. View at Google Scholar · View at Scopus
  17. D. Trere, A. Zilbering, D. Dittus, P. Kim, P. C. Ginsberg, and I. Daskal, “AgNOR quantity in needle biopsy specimens of prostatic adenocarcinomas: correlation with proliferation state, Gleason score, clinical stage, and DNA content,” Clinical Molecular Pathology, vol. 49, no. 4, pp. M209–M213, 1996. View at Google Scholar
  18. M. Munda, T. Hajdinjak, R. Kavalar, and D. Štiblar Martinčič, “p53, Bcl-2 and AgNOR tissue markers: model approach in predicting prostate cancer characteristics,” Journal of International Medical Research, vol. 37, no. 6, pp. 1868–1876, 2009. View at Publisher · View at Google Scholar · View at Scopus
  19. T. Goel and S. Garg, “Role of AgNOR count and its correlation with serum PSA levels in prostatic lesions,” Urologia Internationalis, vol. 82, no. 3, pp. 286–290, 2009. View at Publisher · View at Google Scholar · View at Scopus
  20. H. Contractor, J. Ruschoff, T. Hanisch et al., “Silver-stained structures in prostatic carcinoma: evaluation of diagnostic and prognostic relevance by automated image analysis,” Urologia Internationalis, vol. 46, no. 1, pp. 9–14, 1991. View at Publisher · View at Google Scholar · View at Scopus
  21. M. Eskelinen, P. Lipponen, and K. Syrjanen, “Nucleolar organiser regions (AgNORs) related to histopathological characteristics and survival in prostatic adenocarcinoma,” Anticancer Research, vol. 12, no. 5, pp. 1635–1640, 1992. View at Google Scholar · View at Scopus
  22. M. O. J. Olson, Z. M. Rivers, B. A. Thompson, W.-Y. Kao, and S. T. Case, “Interaction of nucleolar phosphoprotein C23 with cloned segments of rat ribosomal deoxyribonucleic acid,” Biochemistry, vol. 22, no. 14, pp. 3345–3351, 1983. View at Publisher · View at Google Scholar · View at Scopus
  23. L. Mulrane, E. Rexhepaj, S. Penney, J. J. Callanan, and W. M. Gallagher, “Automated image analysis in histopathology: a valuable tool in medical diagnostics,” Expert Review of Molecular Diagnostics, vol. 8, no. 6, pp. 707–725, 2008. View at Publisher · View at Google Scholar · View at Scopus
  24. D. J. Brennan, J. Brändstedt, E. Rexhepaj et al., “Tumour-specific HMG-CoAR is an independent predictor of recurrence free survival in epithelial ovarian cancer,” BMC Cancer, vol. 10, article 125, 2010. View at Publisher · View at Google Scholar · View at Scopus
  25. B. B. Mandelbrot, “Stochastic models for the Earth's relief, the shape and the fractal dimension of the coastlines, and the number-area rule for islands,” Proceedings of the National Academy of Sciences of the United States of America, vol. 72, no. 10, pp. 3825–3828, 1975. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  26. C. Margaritescu, M. Raica, D. Pirici et al., “Podoplanin expression in tumor-free resection margins of oral squamous cell carcinomas: an immunohistochemical and fractal analysis study,” Histology and Histopathology, vol. 25, no. 6, pp. 701–711, 2010. View at Google Scholar · View at Scopus
  27. J. W. Baish and R. K. Jain, “Fractals and cancer,” Cancer Research, vol. 60, no. 14, pp. 3683–3688, 2000. View at Google Scholar · View at Scopus
  28. P. F. F. de Arruda, M. Gatti, F. N. Facio Jr. et al., “Quantification of fractal dimension and Shannon's entropy in histological diagnosis of prostate cancer,” BMC Clinical Pathology, vol. 13, article 6, 2013. View at Publisher · View at Google Scholar · View at Scopus
  29. J. Deschenes and N. Weidner, “Nucleolar organizer regions (NOR) in hyperplastic and neoplastic prostate disease,” The American Journal of Surgical Pathology, vol. 14, no. 12, pp. 1148–1155, 1990. View at Publisher · View at Google Scholar · View at Scopus
  30. J. C. Cheville, G. H. Clamon, and R. A. Robinson, “Silver-stained nucleolar organizer regions in the differentiation of prostatic hyperplasia, intraepithelial neoplasia, and adenocarcinoma,” Modern Pathology, vol. 3, no. 5, pp. 596–598, 1990. View at Google Scholar · View at Scopus
  31. B. Helpap and C. Riede, “Nucleolar and AgNOR-analysis of prostatic intraepithelial neoplasia (PIN), atypical adenomatous hyperplasia (AAH) and prostatic carcinoma,” Pathology Research and Practice, vol. 191, no. 5, pp. 381–390, 1995. View at Publisher · View at Google Scholar · View at Scopus
  32. D. Trere, “Quantitative analysis of silver stained nucleolar organiser regions: a reliable marker of cell proliferation and a promising prognostic parameter in tumour pathology,” Clinical Molecular Pathology, vol. 48, no. 4, pp. M219–M220, 1995. View at Google Scholar
  33. J. Ruschoff, K. H. Plate, H. Contractor, S. Kern, R. Zimmermann, and C. Thomas, “Evaluation of nucleolus organizer regions (NORs) by automatic image analysis: a contribution to standardization,” The Journal of Pathology, vol. 161, no. 2, pp. 113–118, 1990. View at Publisher · View at Google Scholar · View at Scopus
  34. M. Derenzini and D. Trere, “Standardization of interphase Ag-NOR measurement by means of an automated image analysis system using lymphocytes as an internal control,” The Journal of Pathology, vol. 165, no. 4, pp. 337–342, 1991. View at Publisher · View at Google Scholar · View at Scopus
  35. P.-W. Huang and C.-H. Lee, “Automatic classification for pathological prostate images based on fractal analysis,” IEEE Transactions on Medical Imaging, vol. 28, no. 7, pp. 1037–1050, 2009. View at Publisher · View at Google Scholar · View at Scopus
  36. P. Waliszewski, F. Wagenlehner, S. Kribus, W. Schafhauser, W. Weidner, and S. Gattenlöhner, “Objective grading of prostate carcinoma based on fractal dimensions: Gleason 3 + 4 = 7a ≠ Gleason 4 + 3 = 7b,” Der Urologe A, vol. 53, no. 10, pp. 1504–1511, 2014. View at Publisher · View at Google Scholar
  37. Y. Pu, W. Wang, M. Al-Rubaiee, S. K. Gayen, and M. Xu, “Determination of optical coefficients and fractal dimensional parameters of cancerous and normal prostate tissues,” Applied Spectroscopy, vol. 66, no. 7, pp. 828–834, 2012. View at Publisher · View at Google Scholar · View at Scopus
  38. M. Tambasco, B. M. Costello, A. Kouznetsov, A. Yau, and A. M. Magliocco, “Quantifying the architectural complexity of microscopic images of histology specimens,” Micron, vol. 40, no. 4, pp. 486–494, 2009. View at Publisher · View at Google Scholar · View at Scopus
  39. R. M. Hoffman, “Screening for prostate cancer,” The New England Journal of Medicine, vol. 365, no. 21, pp. 2013–2019, 2011. View at Publisher · View at Google Scholar · View at Scopus
  40. R. Farjam, H. Soltanian-Zadeh, K. Jafari-Khouzani, and R. A. Zoroofi, “An image analysis approach for automatic malignancy determination of prostate pathological images,” Cytometry Part B: Clinical Cytometry, vol. 72, no. 4, pp. 227–240, 2007. View at Publisher · View at Google Scholar · View at Scopus
  41. P. W. Hamilton, P. H. Bartels, R. Montironi et al., “Automated histometry in quantitative prostate pathology,” Analytical and Quantitative Cytology and Histology, vol. 20, no. 5, pp. 443–460, 1998. View at Google Scholar · View at Scopus
  42. J. Diamond, N. H. Anderson, P. H. Bartels, R. Montironi, and P. W. Hamilton, “The use of morphological characteristics and texture analysis in the identification of tissue composition in prostatic neoplasia,” Human Pathology, vol. 35, no. 9, pp. 1121–1131, 2004. View at Publisher · View at Google Scholar · View at Scopus
  43. K. Jafari-Khouzani and H. Soltanian-Zadeh, “Multiwavelet grading of pathological images of prostate,” IEEE Transactions on Biomedical Engineering, vol. 50, no. 6, pp. 697–704, 2003. View at Publisher · View at Google Scholar · View at Scopus
  44. R. Stotzka, R. Manner, P. H. Bartels, and D. Thompson, “A hybrid neural and statistical classifier system for histopathologic grading of prostatic lesions,” Analytical and Quantitative Cytology and Histology, vol. 17, no. 3, pp. 204–218, 1995. View at Google Scholar · View at Scopus
  45. M. Arif and N. Rajpoot, “Classification of potential nuclei in prostate histology images using shape manifold learning,” in Proceedings of the International Conference on Machine Vision (ICMV '07), pp. 113–118, IEEE, Islamabad, Pakistan, December 2007. View at Publisher · View at Google Scholar · View at Scopus
  46. K. Nguyen, A. K. Jain, and B. Sabata, “Prostate cancer detection: fusion of cytological and textural features,” Journal of Pathology Informatics, vol. 2, supplement S1, article 3, 2011. View at Publisher · View at Google Scholar
  47. S. Doyle, C. Rodriguez, A. Madabhushi, J. Tomaszeweski, and M. Feldman, “Detecting prostatic adenocarcinoma from digitized histology using a multi-scale hierarchical classification approach,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 1, pp. 4759–4762, 2006.