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Individualized Prediction of Overall Survival After Postoperative Radiation Therapy in Patients With Early-Stage Cervical Cancer: A Korean Radiation Oncology Group Study (KROG 13-03)

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Author(s)
Hyun Jin LeeSeungbong HanYoung Seok KimJoo-Hyun NamHak Jae KimJae Weon KimWon ParkByoung-Gie KimJin Hee KimSoon Do ChaJuree KimKi-Heon LeeMee Sun YoonSeok Mo KimJi-Yoon KimWon Sup YoonWoo LeeJin Hwa ChoiSang-Yoon ParkJoo-Young Kim
Keimyung Author(s)
Kim, Jin HeeCha, Soon Do
Department
Dept. of Radiation Oncology (방사선종양학)
Dept. of Obstetrics & Gynecology (산부인과학)
Journal Title
International Journal of Radiation Oncology*Biology*Physics
Issued Date
2013
Volume
87
Issue
4
Abstract
Purpose: A nomogram is a predictive statistical model that generates the continuous probability
of a clinical event such as death or recurrence. The aim of the study was to construct a nomogram
to predict 5-year overall survival after postoperative radiation therapy for stage IB to IIA
cervical cancer.
Methods and Materials: The clinical data from 1702 patients with early-stage cervical cancer,
treated at 10 participating hospitals from 1990 to 2011, were reviewed to develop a prediction
nomogram based on the Cox proportional hazards model. Demographic, clinical, and pathologic
variables were included and analyzed to formulate the nomogram. The discrimination and calibration power of the model was measured using a concordance index (c-index) and calibration
curve.
Results: The median follow-up period for surviving patients was 75.6 months, and the 5-year
overall survival probability was 87.1%. The final model was constructed using the following
variables: age, number of positive pelvic lymph nodes, parametrial invasion, lymphovascular
invasion, and the use of concurrent chemotherapy. The nomogram predicted the 5-year overall
survival with a c-index of 0.69, which was superior to the predictive power of the International
Federation of Gynecology and Obstetrics (FIGO) staging system (c-index of 0.54).
Conclusions: A survival-predicting nomogram that offers an accurate level of prediction and
discrimination was developed based on a large multi-center study. The model may be more
useful than the FIGO staging system for counseling individual patients regarding prognosis.
2013 Elsevier Inc.
Keimyung Author(s)(Kor)
김진희
차순도
Publisher
School of Medicine
Citation
Hyun Jin Lee et al. (2013). Individualized Prediction of Overall Survival After Postoperative Radiation Therapy in Patients With Early-Stage Cervical Cancer: A Korean Radiation Oncology Group Study (KROG 13-03). International Journal of Radiation Oncology*Biology*Physics, 87(4), 659–664. doi: 10.1016/j.ijrobp.2013.07.020
Type
Article
ISSN
0360-3016
Source
http://lps3.www.sciencedirect.com.proxy.dsmc.or.kr/science/article/pii/S0360301613028587?via%3Dihub
DOI
10.1016/j.ijrobp.2013.07.020
URI
https://kumel.medlib.dsmc.or.kr/handle/2015.oak/34819
Appears in Collections:
1. School of Medicine (의과대학) > Dept. of Obstetrics & Gynecology (산부인과학)
1. School of Medicine (의과대학) > Dept. of Radiation Oncology (방사선종양학)
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