Gender effect on oral mucosa epithelium in blood disease patients | ||
| Al-Azhar Journal of Dentistry | ||
| Volume 11, Issue 1, January 2024, Pages 81-86 PDF (682.92 K) | ||
| Document Type: Original Article | ||
| DOI: 10.58675/2974-4164.1599 | ||
| Author | ||
| Warkaa AL-Wattar | ||
| Assistant professor in Iraqi Center of Hematology, University of Mustansiriyah, Baghdad, Iraq | ||
| Abstract | ||
| Purpose: to evaluate early detection of blood disease could be obtained by cytology. Materials and methods: Eighty two patients, 41 females and 41 males with blood diseases including malignancies were selected for this study. Oral exfoliated cytology was used to detect changes in the oral mucosa using Gemisa stain. A microscopical examination was performed to detect 3 main cytological parameters which were cell shedding clusters, binucluated cells and inflammatory background. Results: The highest frequency in the female group was with acute lymphoblastic leukemia 30.2% and the most affected age group was (21-30) counting 12.1% while in male group was also acute lymphoblastic leukemia 42.9% and the affected age group was (11-20) counting 11.9% . For the cytological changes; in the female group; 100% of the cell cluster was seen in pancytopenia, pericardial infection and multiple myeloma. While in the male group; 100% of cell clusters were seen in non-Hodjken lymphoma, aplastic anemia, pancytopenia and splenectomy. Binucleuos feature was in the female group as100% show binucleation in acute myloid leukemia, pancytopenia, hypoplasia anemia and pericardial infection, while in the male group; 100% of pancytopenia, Burkitt lymphoma, and mycosis. For inflammatory background;100% was seen in pancytopenia and pericardial infection female group. There was a significant correlation between cluster and binucleation in the male group, while there were highly significant correlations between binucleation and inflammatory background in the female group. Conclusions: Blood diseases affects oral mucosal epithelium and using oral cytology could be very helpful for early detection of these diseases that could be lifesaving. | ||
| Keywords | ||
| cytology; binucleus; Inflammation; Leukemia | ||
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