Preoperative ultrasound guided fine needle aspiration cytology of ovarian lesions- is it a rapid and effective diagnostic modality?

Soumit Dey, Saikat Datta, Snehamay Chaudhuri, Prabir Chandra Paul, Binny Khandakar, Sonali Mandal

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Introduction: The deep seated ovarian lesions unapproachable by unguided aspiration cytology were easily done under ultrasound guidance. It gave a before hand cytological diagnosis of the lesion to the surgeon determining the modality of treatment for the patient. Aim: To find the diagnostic accuracy of the method of ultrasound guided cytological assessment of ovarian lesion. M aterials and Methods: The study was conducted as a prospective observational study over a period of one year, in hospital setting, where ultrasound guided fine needle aspiration had been used to aspirate ovarian lesions, giving a rapid cytological diagnosis. In 43 sample cases, aspiration of fluid done from ovarian lesions were followed by cyto-centrifugation and staining by May-Grunwald-Giemsa (MGG) and Papanicolaou (Pap) stain providing a cytological opinion regarding benign/malignant nature of the lesion and further categorization. Later the cytological diagnosis was compared with final histopathological diagnosis, taking it as a gold standard. R esults: The overall sensitivity, specificity, and diagnostic accuracy of ultrasound guided aspiration and cytological analysis were high, 96%, 76.92% and 89.47% respectively as calculated by comparing the cytological diagnosis with histological diagnosis, taking it as gold standard. C onclusion: This method has evolved as a highly sensitive, rapid, simple and effective modality for screening and as well as accurate preoperative diagnosis of ovarian lesions.

Original languageEnglish
Pages (from-to)EC16-EC19
JournalJournal of Clinical and Diagnostic Research
Volume10
Issue number3
DOIs
StatePublished - 1 Mar 2016
Externally publishedYes

Keywords

  • Diagnostic accuracy
  • Ovarian cancer
  • Ovarian tumour

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