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Quantitative detection of screening for cervical lesions with ThinPrep Cytology Test

  • Published:
Clinical Oncology and Cancer Research

Abstract

Objective

To investigate the available parameters in gynecological screening for cervical lesions by liquid-based cytology technology (ThinPrep Cytology Test, TCT) and The Bethesda System (TBS), also with computer image analysis.

Methods

With application of the image analysis system, all grades of cervical lesion cells were detected quantitatively and sorted in atypical squamous cells of undetermined significance (ASCUS), atypical squamous cells-cannot exclude HSIL (ASC-H), low-grade squamous intraepithelial lesion (LSIL), high-grade squamous intraepithelial lesion (HSIL) and cervical squamous cell carcinoma (SCC) with the mean optical density (MOD), average grey (AG), positive units (PU), and nucleus to cytoplasmic ratio (N: C). Differences between each group of cells were compared and analyzed statistically.

Results

Apart from four stereologic parameters in LSIL and HSIL groups there were no differences among them, in the other groups, there was statistically significant in differences between MOD, AG and PU values. Differences between them in the ratio of nucleus to cytoplasm were highly statistically significant.

Conclusion

Stereological indexes may serve as a screening tool for cervical lesions. The image analysis system is expected to become a new means of cytological assisted diagnosis.

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Authors and Affiliations

  1. Department of Pathology, the First Affiliated Hospital, Zhengzhou University, Zhengzhou, China

    Hong-xin Zhang, Yi-min Song, Su-hong Li, Yu-hui Yin, Dong-ling Gao & Kui-sheng Chen

  2. Henan Key Laboratory for Tumor Pathology, Zhengzhou, 450052, Henan Province, China

    Hong-xin Zhang, Yi-min Song, Su-hong Li, Yu-hui Yin, Dong-ling Gao & Kui-sheng Chen

Authors
  1. Hong-xin Zhang
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  2. Yi-min Song
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  3. Su-hong Li
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  4. Yu-hui Yin
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  5. Dong-ling Gao
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  6. Kui-sheng Chen
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Corresponding author

Correspondence to Kui-sheng Chen.

Additional information

This work was supported by a grant from the Natural Science Foundation of Henan Province, China (No.102300410078).

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Zhang, Hx., Song, Ym., Li, Sh. et al. Quantitative detection of screening for cervical lesions with ThinPrep Cytology Test. Clin. Oncol. Cancer Res. 7, 299–302 (2010). https://doi.org/10.1007/s11805-010-0535-7

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  • DOI: https://doi.org/10.1007/s11805-010-0535-7

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