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Cytomorphological Analysis of Uterine Cervical Pap Smears in Relation to Human Papillomavirus Infection in Indonesian Women

  • Lisnawati Rachmadi
  • , Ekaterina S. Jordanova
  • , Sandra Kolkman-Uljee
  • , Ingrid van der Linden-Narain
  • , Gatot Purwoto
  • , Budiningsih Siregar
  • , Gert Jan Fleuren
  • , Santoso Cornain
  • , Maud Veselic
  • pre-AMC

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Objective: Cervical cancer is the number one cause of cancer-associated death in Indonesian women (30/100,000 annually), where no screening program is present. The Papanicolaou test is widely accepted as an effective screening method for cervical neoplasia detection and often shows certain cytological features associated with human papillomavirus (HPV) infection. Especially in developing countries, cytological investigation is still the method of choice as compared to the frequent use of HPV DNA testing in western countries. Study Design: In the present study, we investigated the validity of the use of cytomorphological changes as a marker for HPV infection. A total of 140 smears collected in three different areas in Indonesia (Jakarta, Tasikmalaya and Bali) were analyzed. HPV DNA testing was performed using INNO-LiPA assays. Results and Conclusions: We found a highly significant association of classical koilocytosis, multi-nucleated cells, dyskeratosis-parakeratosis, nuclear membrane, enlarged nuclei, moderate/strong hyperchromasia and chromatin pattern with HPV positivity. Using classical and nonclassical cytomorphological parameters we found an overall sensitivity of 42% and a specificity of 90%. The combination of classical and nonclassical parameters led to a higher sensitivity of HPV positivity prediction. These results are of importance for cytologists in developing countries as molecular HPV testing still poses a major financial, logistic and expertise problem. Copyright (C) 2012 S. Karger AG, Basel
Original languageEnglish
Pages (from-to)171-176
JournalActa cytologica
Volume56
Issue number2
DOIs
Publication statusPublished - 2012

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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