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Morphometric Characterization of Small Cell Lymphocytic Lymphoma Cover

Morphometric Characterization of Small Cell Lymphocytic Lymphoma

Open Access
|Mar 2015

Abstract

The morphometry in histopathology is used to characterize cell populations belonging to different tissues and to identify differences in their parameters with prognostic implications. To achieve morphometric examination were selected 6 of 24 cases identified as small cell lymphocytic lymphoma. For each case analysis was done on five fields, for each field measuring the parameters of 20 cells. The studied parameters were for cytoplasm: cytoplasmic area, maximum and minimum cytoplasmic diameter, cytoplasmic perimeter; for nucleus were measured: nuclear area, minimum and maximum nuclear diameter, nuclear perimeter, nuclear contour index, nuclear ellipticity index, nuclear irregularity index. Also the nucleocytoplasmic ratio was calculated in all studied cases. Small cell lymphocytic lymphoma is characterized in morphometric terms having a small cytoplasmic area (average 29.206) and also a small nuclear area (mean 28.939) having a nucleo-cytoplasmic ratio appearance suggestive for adult lymphocyte. A nuclear contour index small value (3.946), ellipticity index value also small (3.521) and small nuclear irregularity index (3.965). Standard deviations, in any of the studied morphometric categories, is around or below 1 suggesting monomorphic cell appearance. These morphometric and microscopic features characterized mainly by a small population of adult lymphocytes, monomorphic, with rounded hipercromic nuclei, dense chromatin, support the framing into indolent lymphoma group in terms of clinical outcome.

DOI: https://doi.org/10.1515/arsm-2015-0002 | Journal eISSN: 1841-4036 | Journal ISSN: 1223-9666
Language: English
Page range: 179 - 183
Published on: Mar 11, 2015
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2015 Anca Chisoi, Mariana Aşchie, I. Poinăreanu, published by Ovidius University of Constanta
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.