J Gynecol Oncol.  2016 Sep;27(5):e54. 10.3802/jgo.2016.27.e54.

Identification of appropriate cone length to avoid positive cone margin in high grade cervical intraepithelial neoplasia

Affiliations
  • 1Department of Obstetrics and Gynecology, Kurume University School of Medicine, Kurume, Japan. kawano_kouichirou@kurume-u.ac.jp
  • 2Biostatistics Center, Kurume University, Kurume, Japan.

Abstract


OBJECTIVE
To identify key factors for predicting positive cone margin and appropriate cone length.
METHODS
We retrospectively reviewed the margin status of patients who received conization with high grade cervical intraepithelial neoplasia, along with other factors such as patient age, parity, preoperative cytology, size of disease, type of transformation zone, and cone length from patient records. Cut-off value of cone length was analyzed in women younger than 40 years old because we design conization with minimum length especially for women who wish for future pregnancy. Cut-off value of cone length was defined as length corresponds to estimated probability of positive cone margin equal to 0.1 by logistic regression analysis with variables selected by stepwise methods.
RESULTS
Among 300 patients, 75 patients had positive cone margin. Multivariable analysis revealed that squamous cell carcinoma at preoperative cytology (p=0.001), 2 or more quadrant disease (p=0.011), and shorter cone length (p<0.001) were risk factors for positive cone margin. Stepwise methods identified cone length and size of lesion as important variables. With this condition, cut-off value of cone length was estimated as 15 mm in single quadrant disease and 20 mm in 2 or more quadrant disease, respectively.
CONCLUSION
We identified the independent risk factors of positive cone margin and identified the cut-off value of cone length to avoid positive cone margin in women younger than 40 years old. Conization should be performed not only according to colposcopic findings including type of transformation zone but size of disease and cone length.

Keyword

Cervical Intraepithelial Neoplasia; Conization; Logistic Models
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