DOI: https://doi.org/10.36347/sjams.2025.v13i03.016

Pages: 698-703

Background: Cervical cancer remains a significant public health concern in low- and middle-income countries like Bangladesh, where limited access to screening programs leads to late-stage diagnoses. Invasive cervical carcinoma, characterized by aggressive behavior and high mortality, requires precise histological grading to guide treatment strategies effectively. This study aims to provide a comprehensive histopathological analysis of invasive cervical carcinoma cases in Bangladesh to enhance diagnostic accuracy and treatment outcomes. Objective: To assess the histological grade distribution of invasive cervical carcinoma and cervical intraepithelial neoplasia (CIN) in Bangladesh, identifying prevalent histopathological patterns and their potential implications for clinical management. Methodology: A cross-sectional descriptive study was conducted at the Department of Pathology, Rajshahi Medical College, from March 2020 to February 2022. A purposive sampling method was used to select 100 cases diagnosed histopathologically as CIN or invasive cervical carcinoma. Histological sections were stained with Hematoxylin and Eosin (H&E) and Periodic Acid-Schiff/Alcian Blue (PAS/AB) and examined microscopically. Invasive tumors were categorized based on the World Health Organization (WHO) grading system into well-differentiated (grade 1), moderately differentiated (grade 2), and poorly differentiated (grade 3). CIN cases were classified as CIN-I, CIN-II and CIN-III. Data were analyzed using SPSS version 28, with Chi-square tests to assess associations. Results: Among the 100 cases analyzed, 75% were aged 40–60 years, with a mean age of 51.42 ± 8.75 years. Squamous cell carcinoma was the most common type (45%), followed by adenocarcinoma (15%) and adenosquamous carcinoma (10%). Of the 70 invasive carcinoma cases, 61.43% were well-differentiated (grade 1), 24.29% were poorly differentiated (grade 3), and 14.29% were moderately differentiated (grade 2). Regarding CIN cases, ...