Detection of Cervical Cancer and High Grade Neoplastic Lesions by a Combination of Liquid‐Based Sampling Preparation and DNA Measurements Using Automated Image Cytometry | Zendy

Xiao Rong Sun | Zendy; Jian Wang | Zendy; David M. Garner | Zendy; Branko Palcic | Zendy

Open Access

Detection of Cervical Cancer and High Grade Neoplastic Lesions by a Combination of Liquid‐Based Sampling Preparation and DNA Measurements Using Automated Image Cytometry

Author(s) -

Xiao Rong Sun,

Jian Wang,

David M. Garner,

Branko Palcic

Publication year - 2005

Publication title -

analytical cellular pathology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.576

H-Index - 24

eISSN - 2210-7185

pISSN - 2210-7177

DOI - 10.1155/2005/981612

Subject(s) - dna , sampling (signal processing) , cervical cancer , flow cytometry , liquid based cytology , pathology , cancer , computational biology , biomedical engineering , cancer research , chromatography , computer science , chemistry , biology , medicine , microbiology and biotechnology , computer vision , biochemistry , filter (signal processing)

To establish if measurements of DNA ploidy could be used to assist cytopathologists and cytotechnologists in population based cervical cancer screening programs in countries where manually reading the slides is impossible due to the lack of sufficient skilled cytotechnologists. The goal of such program is to identify only clinically significant lesions, i.e. those where a clinical intervention to remove the lesion is required immediately.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research