Automated fluorescence-imaging cytometry for the detection of cervical cancer
| Autor: | Stephen J. Lockett, Pawel Wodnicki, Ammasi Periasamy, Brian Herman, Andrea Ayscue, Majid Siadat-Pajouh |
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| Rok vydání: | 1994 |
| Předmět: | |
| Zdroj: | Proceedings, annual meeting, Electron Microscopy Society of America. 52:76-77 |
| ISSN: | 2690-1315 0424-8201 |
| Popis: | Accumulating evidence strongly associates human papillomavirus infection with the development of cervical cancers. Approximately 70 distinct HPV genotypes have been discovered and a subclass ofthese have been classified as "high" (e.g. 16 and 18) or "low risk" (e.g. 6 and 11) types depending on their association with benign or malignant cervical disease. Numerous studies have suggested that the"high-risk" types of HPV are causally involved in the pathogenesis of cervical cancer. For example, "high-risk" HPVs have been found in 84% of cervical carcinoma. However, it has also become increasingly clear that HPV infections of the cervix span a wide clinical spectrum from benign lesions to precancerous lesions, with only a minority of infections resulting in invasive cancers , although the reasons for this are not clear. Longitudinal epidemiologic studies using cytologic methods to detect HPV infection have shown that the majority of women infected with HPV will regress spontaneously. In addition, age-stratified data for rates of HPV positivity from crosssectional studies also suggest that many women clear the infection spontaneously. |
| Databáze: | OpenAIRE |
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