BACKGROUND: Significant intra- and interobserver variability ranging between 40 and 80% is observed in tumor grading of prostate carcinoma.
By combining geometric and statistical methods, an objective system of grading can be designed.
MATERIAL AND METHODS: The distributions of cell nuclei in two-dimensional patterns of prostate cancer classified subjectively as Gleason score 3+3, 3+4, 4+3, 4+4, 4+5, 5+4, and 5+5 were analyzed with algorithms measuring the global fractal dimensions of the Rényi family and with the algorithm for the local connected fractal dimension (LCFD).
RESULTS: The dimensions for global fractal capacity, information, and correlation (standard deviation) were 1.470 (045), 1.528 (046), and 1.582 (099) for homogenous Gleason grade 3 (n = 16), 1.642 (034), 1.678 (041), and 1.673 (084) for homogenous Gleason grade 4 (n=18), and 1.797 (042), 1.791 (026), and 1.854 (031) for homogenous Gleason grade 5 (n=12), respectively. The LCFD algorithm can be used to distinguish both qualitatively and quantitatively between mixed and heterogeneous patterns, such as Gleason score 3+4=7a (intermediate risk cancer) and Gleason score 4+3=7b (high-risk cancer). Sensitivity of the method is 89.3%, and specificity 84.3%.
CONCLUSION: The method of fractal geometry enables both an objective and quantitative grading of prostate cancer.
Written by:
Waliszewski P, Wagenlehner F, Kribus S, Schafhauser W, Weidner W, Gattenlöhner S. Are you the author?
Klinik für Urologie, Andrologie und Kinderurologie, Justus-Liebig-Universität, Rudolf-Buchheim-Straße 7, 35392, Gießen, Deutschland.
Reference: Urologe A. 2014 Jul 12. Epub ahead of print.
doi: 10.1007/s00120-014-3470-z
PubMed Abstract
PMID: 25015793
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Article in German.
UroToday.com Prostate Cancer Section
