Archivos en Investigación del Cáncer

  • ISSN: 2254-6081
  • Índice h de la revista: 13
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Abstracto

Liquid Based Cytology Cervical Cancer Screening Program - Georgian Experience

Sophio Bojgua and Ekaterina Kldiashvili

Objective: The study aimed to evaluate liquid based cytology as a tool for cervical cancer screening in Georgia.

Materials and methods: 1293 cervical cytology samples have been analyzed in Georgia. The samples had been collected and processed by the usage of materials and equipment provided by Hologic. Prepared smears were post-fixed in 96% ethanol and stained accordingly with Papanicolau protocol. The Bethesda 2001 system terminology was employed for reporting and diagnoses of cervical smears.

Results: The negative for intraepithelial lesion or malignancy (NILM) category was equal to 1156 cases (89.40%). Other categories in decreasing order were atypical squamous cells of undetermined significance (ASCUS) with 104 cases (8.04%), low grade squamous intraepithelial lesion (L-SIL) with 8 cases (0.62%), high grade squamous intraepithelial lesion (H-SIL) with 1 cases (0.08%), atypical squamous cells, cannot exclude high grade intraepithelial lesion (ASC-H) with 21 case (1.63%) and atypical glandular cells of undetermined significance (AGUS) with 3 case (0.23%). Cellularity was lower in liquid based cytology (LBC) as compared with conventional smears (CS). Also, nuclar overlap was significantly less observed compared to CS. The smear background was notably cleaner and cell morphology was better evaluated in LBC. In terms of Trichomonas and Candida detection, LBC was superior compared to CS. Doderlein lactobacilli were seen in significantly lesser amounts and were mainly situated in close vicinity to the squamous epithelial cells. Due to lack of pretreatment, the degree of inflammation was better assessed in CS.

Conclusion: Our experience shows that LBC is superior to CS in the evaluation of cell morphology and detection of certain microorganisms such as Trichomonas and Candida. The degree of inflammation is better assessed with CS.

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