Naslov (srp)

Prognostički značaj nuklearne morfometrije i imunohistohemijskih parametara kod melanoma kože

Autor

Veličkov, Asen V., 1983-

Doprinosi

Kovačević, Predrag 1969-
Tiodorović, Danica
Pejčić, Ivica 1957-
Kozarski, Jefta

Opis (srp)

Beleška o autoru: list 181;Bibliografija: listovi 139-178. Datum odbrane: 13.11.2018. Surgery, pathology

Opis (eng)

The goal was to prove the prognostic significance of nuclear-morphometric and immunohistochemical parameters in skin melanoma. Methodology: Epidemiological parameters (sex, age and localization) and biological properties (recidives, metastases) were analyzed (timespan from 2002 to 2016). Nuclear-morphometric and immunohistochemical parameters were also analyzed. Statistical data processing provided the connection between the evaluated parameters and their prognostic value. Significance of the research: The existence of a link between the biological course of skin melanoma and nuclear-morphometric and immunohistochemical parameters has been established. The increase in total intratumoral concentrations of CD4 and CD8 positive cells, as well as the increased proportion of these cells compared to the unstained cells of the same morphological characteristics, led to a good prognosis. The intensity of CD4 staining was also positively correlated with good prognosis. The increased count of CD15 positive cells along with the increase of Area, Circularity, IntDen, and Roundness predicts a good prognosis. The increase in Circularity and Roundness, as well as the increased concentration of peritumor CD15 cells, led to a worse prognosis. The lower CD117 level with increasing circularity and roundness may also indicate a poor prognosis of the disease. The CD8 parameters correlated with CD4 and CD15 parameters. Roundness showed a negative relation with the CD117 parameters. This represents the original scientific contribution of this dissertation.

Jezik

srpski

Datum

2018

Licenca

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Creative Commons CC BY-NC-ND 2.0 AT - Creative Commons Autorstvo - Nekomercijalno - Bez prerada 2.0 Austria License.

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