Risk prediction model for disease-free survival in women with early-stage cervical cancers following postoperative (chemo)radiotherapy.
By: Hyoung Uk Je, Seungbong Han, Young Seok Kim, Joo-Hyun Nam, Won Park, Sanghyuk Song, Changhoon Song, Jin Hee Kim, Juree Kim, Won Sup Yoon, Mee Sun Yoon, Hwa Jin Choi, Joo-Young Kim

1 Department of Radiation Oncology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan - South Korea.
2017-12-2; doi: 10.5301/tj.5000697
Abstract

Purpose

To investigate disease-free survival (DFS) and prognostic factors following the administration of postoperative (chemo)radiotherapy in patients with early-stage cervical cancers.

Methods

The medical records of 1,069 patients from 10 participating institutions were reviewed. Statistically and clinically established factors were considered as candidates for constructing the prediction model. This model was validated, using bootstrapping to correct for optimistic bias.

Results

The 5-year DFS rate was 81.1%, with a median follow-up period of 59.6 months. The statistically significant prognostic factors were as follows: pelvic lymph node metastasis, histologic type, parametrial invasion, lymphovascular space invasion, and tumor size. The nomogram for DFS was constructed, and it demonstrated a good discrimination performance, with an internally validated concordance index of 0.72.

Conclusions

Our predictive model exhibited accurate predictions and may be useful in designing clinical trials to study if further chemotherapy can reduce the recurrence of disease in high-risk patients.





PMID:29192739






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