Histopathological Analysis of Ovarian lesions in Erbil Maternity Hospital
DOI:
https://doi.org/10.15218/crewh.2024.05Keywords:
Ovarian cysts, Benign tumor, Malignant tumor, Histopathology.Abstract
Background: The histopathological analysis of ovarian lesions is critical for accurate diagnosis and treatment planning. Despite advancements in imaging techniques, histopathology remains the gold standard for identifying specific cell types and distinguishing between benign and malignant ovarian lesions. This study aims to evaluate the histopathological characteristics of ovarian lesions at Erbil Maternity Hospital to enhance diagnostic accuracy and patient outcomes. Material & Method: This descriptive cross sectional study analyzed data from 318 patients who underwent surgery for ovarian cysts at Erbil Maternity Hospital for a period of three years. The data included patient age, type of operation, size, tumor location, and gross and microscopical findings. Descriptive statistics summarized the data, and statistical tests were used to identify correlations between variables. Result: The age of patients ranged from 14 to 62 years, with a mean age of 42 years. The most common operation was cystectomy (36.16%), followed by total abdominal hysterectomy and unilateral salpingo-oophorectomy (22.95%). Cysts were evenly distributed between the right and left ovaries, with (5.6%) being bilateral. Cyst sizes varied, with (25.47%) being less than 5 cm. Gross cut sections were diverse, with (63.83%) cystic. The most common non-neoplastic cyst was corpus luteal cysts (22.01%), while the most common benign tumor was mature cystic teratoma (20.12%). The malignant tumor was serous cystadenocarcinoma (1.57%). Conclusion:
Ovarian lesions are commonly encountered surgical specimens. They often present as a mass lesion so it is difficult to categorize them as non-neoplastic or neoplastic based on clinical, radiological or surgical findings. Histopathological examination is needed to diagnose these lesions and to categorize them for proper treatment.
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