NEW MORPHOMETRIC ALGORITHMS OF IMAGE PROCESSING OF THE LYMPHANGIOGENESIS PATHOLOGY
Abstract
Authors describe in technical details a set of algorithms, developed and implemented for the goals of lymphangiogenesis and angiogenesis image processing with application for the comprehensive quantitative description, correlative statistics and tumoral expansion prognosis.
About the Authors
M. V. Sprindzuk
Объединенный институт проблем информатики Национальной академии наук Беларуси
Belarus
Belarus
A. P. Konchits
Объединенный институт проблем информатики Национальной академии наук Беларуси
Belarus
Belarus
Y. E. Demidchik
Белорусская медицинская академия последипломного образования
Belarus
Belarus
S. E. Shelkovich
Белорусская медицинская академия последипломного образования
Belarus
Belarus
References
1. Weyn B., Tjalma W.A., Vermeylen P. et al. // Determination of tumour prognosis based on angiogenesis-related vascular patterns measured by fractal and syntactic structure analysis. Clin Oncol (R Coll Radiol). 2004. № 4. P. 307-316.
2. Dhakal H.P., Bassarova A., Naume B. et al. // Breast carcinoma vascularity: a comparison of manual microvessel count and Chalkley count. Histol Histopathol. 2009. № 8. P. 1049-1059.
3. Da Rocha A.O., Coutinho L.M., Schall J.G. // The prognostic value of angiogenesis by Chalkley counting in gallbladder carcinoma. Hepatogastroenterology. 2009. № 89. P. 34-38.
4. Suhonen K.A., Anttila M.A., Sillanpaa S.M. et al. // Quantification of angiogenesis by the Chalkley method and its prognostic significance in epithelial ovarian cancer. Eur J Cancer. 2007. № 8. P. 1300-1307.
5. Hansen S., Sorensen F.B., Vach W. et al. // Microvessel density compared with the Chalkley count in a prognostic study of angiogenesis in breast cancer patients. Histopathology. 2004. № 5. P. 428-436.
6. Offersen B.V., Sorensen F.B., Yilmaz M. et al. // Chalkley estimates of angiogenesis in early breast cancer - relevance to prognosis. Acta Oncol. 2002. № 7-8. P. 695-703.
7. Hansen S., Grabau D.A., Sorensen F.B. et al. // The prognostic value of angiogenesis by Chalkley counting in a confirmatory study design on 836 breast cancer patients. Clin Cancer Res. 2000. № 1. P. 139-146.
8. Doukas C.N., Maglogiannis I., Chatziioannou A. et al. // Automated angiogenesis quantification through advanced image processing techniques. Conf Proc IEEE Eng Med Biol Soc. 2006. № 1. P. 2345-2348.
9. Hayek A., Beattie G.M., Lopez A.D. et al. // The use of digital image processing to quantitate angiogenesis induced by basic fibroblast growth factor and transplanted pancreatic islets. Microvasc Res. 1991. № 2. P. 203-209.
10. Fox S.B., Leek R.D., Weekes M.P. et al. // Quantitation and prognostic value of breast cancer angiogenesis: comparison of microvessel density, Chalkley count, and computer image analysis. J Pathol. 1995. № 3. P. 275-283.
11. Sprindzuk M., Dmitruk A., Kovalev V. et al. // Computer-aided Image Processing of Angiogenic Histological. J Clin Med Res. 2009. № 5. P. 249-261.
12. Sprindzuk M., Konchits A., Shukelovich A. et al. The method for ovarian cancer recurrence prediction based on computerized lymphangiogenesis morphometry of the D2-40 stained images. International Conference on Digital Technologies 2013: IEEE. P. 52-54.
13. Sprindzuk M.V. // Angiogenesis in malignant thyroid tumors. World Journal of Oncology. 2009. № 6. P. 221-231.
14. Van der Auwera I., Cao Y., Tille J.C. et al. // First international consensus on the methodology of lymphangiogenesis quantification in solid human tumours. Br J Cancer. 2006. № 12. P. 1611-1625.
Review
For citations:
Sprindzuk M.V., Konchits A.P., Demidchik Y.E., Shelkovich S.E. NEW MORPHOMETRIC ALGORITHMS OF IMAGE PROCESSING OF THE LYMPHANGIOGENESIS PATHOLOGY. Doklady BGUIR. 2015;(8):103-106. (In Russ.)
Views: 2208
Email this article 