1. Comparison of Efficacy in Abnormal Cervical Cell Detection between Liquid-based Cytology and Conventional Cytology.
- Author
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Tanabodee J, Thepsuwan K, Karalak A, Laoaree O, Krachang A, Manmatt K, and Anontwatanawong N
- Subjects
- Adult, Aged, Early Detection of Cancer, Female, Follow-Up Studies, Humans, Middle Aged, Neoplasm Grading, Prognosis, Thailand epidemiology, Uterine Cervical Neoplasms epidemiology, Uterine Cervical Dysplasia epidemiology, Atypical Squamous Cells of the Cervix pathology, Cytodiagnosis methods, Uterine Cervical Neoplasms diagnosis, Vaginal Smears methods, Uterine Cervical Dysplasia diagnosis
- Abstract
This study was conducted to 1206 women who had cervical cancer screening at Chonburi Cancer Hospital. The spilt-sample study aimed to compare the efficacy of abnormal cervical cells detection between liquid-based cytology (LBC) and conventional cytology (CC). The collection of cervical cells was performed by broom and directly smeared on a glass slide for CC then the rest of specimen was prepared for LBC. All slides were evaluated and classified by The Bethesda System. The results of the two cytological tests were compared to the gold standard. The LBC smear significantly decreased inflammatory cell and thick smear on slides. These two techniques were not difference in detection rate of abnormal cytology and had high cytological diagnostic agreement of 95.7%. The histologic diagnosis of cervical tissue was used as the gold standard in 103 cases. Sensitivity, specificity, positive predictive value, negative predictive value, false positive, false negative and accuracy of LBC at ASC-US cut off were 81.4, 75.0, 70.0, 84.9, 25.0, 18.6 and 77.7%, respectively. CC had higher false positive and false negative than LBC. LBC had shown higher sensitivity, specificity, PPV, NPV and accuracy than CC but no statistical significance. In conclusion, LBC method can improve specimen quality, more sensitive, specific and accurate at ASC-US cut off and as effective as CC in detecting cervical epithelial cell abnormalities.
- Published
- 2015
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