Geethamala K

Geethamala K

Belgaum Institute of Medical Sciences, Belagavi, Karnataka, India

Profile ID RP-000-0168 Joined 2023-01-14 3 articles
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Articles(3)

Authors: Geethamala K, Meena N Jadhav, Sneha K, Nirmala BL, Rekha M Haravi, Shirish Patil

DOI: 10.18231/j.jdpo.2022.057  

Volume7

Issue4

Pages244-247

Abstract

Sinonasal and pharyngeal mass lesion of Extraskeletal Ewing sarcomas (EEWSs) are extremely rare. Herein we present a case of EEWSs of ethmoid sinus extending into nasal and pharyngeal spaces mimicking as angiofibroma clinically. Histopathological examination in conjunction with immunohistochemistry puzzled out the diagnostic dilemma. Keywords: Extra skeletal Ewing sarcoma, Ethmoid sinus, Immunohistochemistry

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Authors: Geethamala K*, Srinivasa Murthy

DOI: 10.18231/j.ijpo.2022.090  

Volume9

Issue4

Pages369-372

Abstract

Osteogenic sarcoma, a malignant mesenchymal neoplasm of long bones, has many histological variants. One such uncommon variant in which the cells have epithelioid morphology is epithelioid variant of osteosarcoma. The present case highlights the importance of knowledge for these rare variants.   Keywords: Osteosarcoma, Epithelioid variant of osteosarcoma, Immunohistochemistry.

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Authors: K. Geetha Mala, Bhumika J Bhandari, Shreekant K Kittur

DOI: 10.18231/2394-6792.2018.0108  

Volume5

Issue4

Pages558-562

Abstract

Introduction: Thrombocytopenia defined as platelet count below 1,50,000ul. This fall in platelet count may be due to decreased production, increased destruction and pooling of platelets. The platelet parameters include platelet count, mean platelet volume (MPV), platelet distribution width (PDW) obtained by automated cell counters. These help in knowing the pathomechanism of myriad cases of TCPs. Hence the present study was undertaken to know the variations and correlations of platelet parameters in various causes of TCPs. Materials and Methods: 700 blood samples of patients with platelet count 1,50,000 ul were studied. Hematological analysis was done by Sysmex KX-21. Platelet parameters of all the cases and control group were noted. The cases were grouped into various categories of A, B or C depending on mechanism of decrease in platelets. Data was analyzed and tested for statistical significance using one-way ANOVA and post hoc testing using Tukey’s test. Results: Majority of the cases in the present study were in group A (75.3%), followed by group B (23.9%) and group C (0.6%). A higher value of MPV (10.15±1.30 fl) and PDW (14.44±2.35%) was found in group A compared to other categories. Significant results of MPV and PDW values were seen in group A and group B category. Conclusion: Platelet parameters like MPV and PDW obtained by automated cell counters together with platelet counts help us to know the pathomechanism of various causes of TCPs which inturn provides pivotal information for better management. Keywords: Thrombocytopenia, Platelet count, Mean platelet count, Platelet distribution width.

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