Differentiating between borderline and invasive malignancies in ovarian tumors using a multivariate logistic regression model

Differentiating between borderline and invasive malignancies in ovarian tumors using a multivariate logistic regression model

Objective: The objective of this study was to build a model to differentiate between borderline and invasive ovarian tumors. Materials and Methods: We performed a retrospective study involving 148 patients with borderline or invasive ovarian tumors in our institute between 1997 and 2012. Clinical an...

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Bibliographic Details
Main Authors: Jiabin Chen, Chung Chang, Hung-Chi Huang, Yu-Che Chung, Huan-Jung Huang, Wen Shiung Liou, An Jen Chiang, Nelson N.H. Teng
Format: Article
Language:English
Published: Elsevier 2015-08-01
Series:Taiwanese Journal of Obstetrics & Gynecology
Subjects:
borderline ovarian tumor
cancer antigen 125
invasive ovarian tumor
logistic regression
Online Access:http://www.sciencedirect.com/science/article/pii/S1028455915001059

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