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Intermediate-risk grouping of cervical cancer patients treated with radical hysterectomy: a Korean Gynecologic Oncology Group study

Authors :
Seok Mo Kim
Jae Weon Kim
Hee-Sug Ryu
Duk-Soo Bae
Ki Tae Kim
Mingwan Kim
Taek Sang Lee
Byung-Ho Nam
Eun Seop Song
J-H. Nam
Y-T. Kim
Yong Beom Kim
Chan Yong Park
Sang-Young Ryu
Sun Yong Park
Byoung-Gie Kim
Chulmin Lee
C. H. Cho
Source :
British Journal of Cancer
Publication Year :
2013
Publisher :
Springer Science and Business Media LLC, 2013.

Abstract

Background: In this study, we sought to identify a criterion for the intermediate-risk grouping of patients with cervical cancer who exhibit any intermediate-risk factor after radical hysterectomy. Methods: In total, 2158 patients with pathologically proven stage IB–IIA cervical cancer with any intermediate-risk factor after radical hysterectomy were randomly assigned to two groups, a development group and a validation group, at a ratio of 3 : 1 (1620 patients:538 patients). To predict recurrence, multivariate models were developed using the development group. The ability of the models to discriminate between groups was validated using the log-rank test and receiver operating characteristic (ROC) analysis. Results: Four factors (histology, tumour size, deep stromal invasion (DSI), and lymphovascular space involvement (LVSI)) were significantly associated with disease recurrence and included in the models. Among the nine possible combinations of the four variables, models consisting of any two of the four intermediate-risk factors (tumour size ⩾3 cm, DSI of the outer third of the cervix, LVSI, and adenocarcinoma or adenosquamous carcinoma histology) demonstrated the best performance for predicting recurrence. Conclusion: This study identified a ‘four-factor model' in which the presence of any two factors may be useful for predicting recurrence in patients with cervical cancer treated with radical hysterectomy.

Details

ISSN :
15321827 and 00070920
Volume :
110
Database :
OpenAIRE
Journal :
British Journal of Cancer
Accession number :
edsair.doi.dedup.....45a21e4d74d42d495a6bdd13acfdc90f