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Predicting residual disease after excision of cervical dysplasia
Author(s) -
Johnson Nicholas,
Khalili Mansoureh,
Hirschowitz Lynn,
Ralli Fran,
Porter Richard
Publication year - 2003
Publication title -
bjog: an international journal of obstetrics and gynaecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.157
H-Index - 164
eISSN - 1471-0528
pISSN - 1470-0328
DOI - 10.1111/j.1471-0528.2003.99034.x
Subject(s) - resection margin , medicine , margin (machine learning) , resection , dysplasia , cervical intraepithelial neoplasia , cervical conization , surgery , radiology , cervical cancer , pathology , cancer , machine learning , computer science
Dysplastic epithelium at the resection margin after a cervical cone is known to predict persisting disease. We followed 702 women for 30 months after cervical excision to see which resection margin was predictive. The risk of persisting cytological abnormalities was doubled when CIN extended to the endocervical resection margin and was doubled when there was evidence of HPV. In contrast, disease at the ectocervical resection margin and the grade of CIN were not associated with a higher risk of residual disease.