Spectrum of Pap smear cytology according to The Bethesda System 2014

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Original Article

Author Details : Preety Garg, Kamna Gupta*, Alok Mohan, Rajnish Kumar, Anupam Varshney

Volume : 8, Issue : 3, Year : 2023

Article Page : 146-152

https://doi.org/10.18231/j.jdpo.2023.034

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Abstract

Background: Carcinoma of cervix is one of the leading cause of mortality in women across the world. Papanicolaou smear is a valuable screening tool for the neoplastic lesions of cervix. Present study was carried out to do clinicocytological correlation of cervical lesions and to find out the spectrum of cervical lesions in study population.
Materials and Methods:  An observational study was conducted at Pathology department in Muzaffarnagar Medical College, Muzaffarnagar. Total 1,017 females were enrolled, scrape smears from the cervix were taken and processed using Papanicolaou's method of staining. These stained smears were examined under microscope and classified according to latest The Bethesda System 2014.
Results:  Out of 1017 cases, 84.9% (863) smears were classified satisfactory according to 2014 The Bethesda System. Majority of cases (350 cases, 40.5%) belonged to age group of 31-40 years. NILM was the most common cytological finding seen in 340 females (39.3%). The epithelial abnormalities including Atypical Squamous Cells (ASCUS, ASC-H), Squamous Intraepithelial Lesion (LSIL, HSIL) and Squamous Cell Carcinoma were seen in 3.2% of total cases. LSIL found in 1.3% cases and HSIL formed 1.0%. Single case of SCC was detected.
Conclusion:  Cervical epithelial abnormalities are common in Indian females. Pap smear is the most convenient and OPD test to detect epithelial abnormalities in early phase. Awareness regarding the Pap screening should be encouraged to lessen the morbidity and mortality caused by Carcinoma Cervix.
 

Keywords: Carcinoma Cervix, Cervical Intraepithelial lesions, Papanicolaou smear, Screening test

How to cite : Garg P, Gupta K, Mohan A, Kumar R, Varshney A, Spectrum of Pap smear cytology according to The Bethesda System 2014. IP J Diagn Pathol Oncol 2023;8(3):146-152

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