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)

Hyun Jin Lee, Seungbong Han, Young Seok Kim, Joo Hyun Nam, Hak Jae Kim, Jae Weon Kim, Won Park, Byoung Gie Kim, Jin Hee Kim, Soon Do Cha, Juree Kim, Ki Heon Lee, Mee Sun Yoon, Seok Mo Kim, Ji Yoon Kim, Won Sup Yoon, Nak Woo Lee, Jin Hwa Choi, Sang Yoon Park, Joo Young Kim

Research output: Contribution to journalArticle

7 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)659-664
Number of pages6
JournalInternational Journal of Radiation Oncology Biology Physics
Volume87
Issue number4
DOIs
Publication statusPublished - 2013 Nov 15

Fingerprint

nomographs
Nomograms
Radiation Oncology
Uterine Cervical Neoplasms
radiation therapy
Radiotherapy
cancer
Survival
radiation
predictions
gynecology
federations
Gynecology
Calibration
Obstetrics
discrimination
prognosis
lymphatic system
Statistical Models
chemotherapy

ASJC Scopus subject areas

  • Radiation
  • Oncology
  • Radiology Nuclear Medicine and imaging
  • Cancer Research

Cite this

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). / Lee, Hyun Jin; Han, Seungbong; Kim, Young Seok; Nam, Joo Hyun; Kim, Hak Jae; Kim, Jae Weon; Park, Won; Kim, Byoung Gie; Kim, Jin Hee; Cha, Soon Do; Kim, Juree; Lee, Ki Heon; Yoon, Mee Sun; Kim, Seok Mo; Kim, Ji Yoon; Yoon, Won Sup; Lee, Nak Woo; Choi, Jin Hwa; Park, Sang Yoon; Kim, Joo Young.

In: International Journal of Radiation Oncology Biology Physics, Vol. 87, No. 4, 15.11.2013, p. 659-664.

Research output: Contribution to journalArticle

Lee, HJ, Han, S, Kim, YS, Nam, JH, Kim, HJ, Kim, JW, Park, W, Kim, BG, Kim, JH, Cha, SD, Kim, J, Lee, KH, Yoon, MS, Kim, SM, Kim, JY, Yoon, WS, Lee, NW, Choi, JH, Park, SY & Kim, JY 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, vol. 87, no. 4, pp. 659-664. https://doi.org/10.1016/j.ijrobp.2013.07.020
Lee, Hyun Jin ; Han, Seungbong ; Kim, Young Seok ; Nam, Joo Hyun ; Kim, Hak Jae ; Kim, Jae Weon ; Park, Won ; Kim, Byoung Gie ; Kim, Jin Hee ; Cha, Soon Do ; Kim, Juree ; Lee, Ki Heon ; Yoon, Mee Sun ; Kim, Seok Mo ; Kim, Ji Yoon ; Yoon, Won Sup ; Lee, Nak Woo ; Choi, Jin Hwa ; Park, Sang Yoon ; Kim, Joo Young. / 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). In: International Journal of Radiation Oncology Biology Physics. 2013 ; Vol. 87, No. 4. pp. 659-664.
@article{e2196d7aae574cfcb4afa69271409f37,
title = "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)",
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.",
author = "Lee, {Hyun Jin} and Seungbong Han and Kim, {Young Seok} and Nam, {Joo Hyun} and Kim, {Hak Jae} and Kim, {Jae Weon} and Won Park and Kim, {Byoung Gie} and Kim, {Jin Hee} and Cha, {Soon Do} and Juree Kim and Lee, {Ki Heon} and Yoon, {Mee Sun} and Kim, {Seok Mo} and Kim, {Ji Yoon} and Yoon, {Won Sup} and Lee, {Nak Woo} and Choi, {Jin Hwa} and Park, {Sang Yoon} and Kim, {Joo Young}",
year = "2013",
month = "11",
day = "15",
doi = "10.1016/j.ijrobp.2013.07.020",
language = "English",
volume = "87",
pages = "659--664",
journal = "International Journal of Radiation Oncology Biology Physics",
issn = "0360-3016",
publisher = "Elsevier Inc.",
number = "4",

}

TY - JOUR

T1 - Individualized prediction of overall survival after postoperative radiation therapy in patients with early-stage cervical cancer

T2 - A Korean radiation oncology group study (KROG 13-03)

AU - Lee, Hyun Jin

AU - Han, Seungbong

AU - Kim, Young Seok

AU - Nam, Joo Hyun

AU - Kim, Hak Jae

AU - Kim, Jae Weon

AU - Park, Won

AU - Kim, Byoung Gie

AU - Kim, Jin Hee

AU - Cha, Soon Do

AU - Kim, Juree

AU - Lee, Ki Heon

AU - Yoon, Mee Sun

AU - Kim, Seok Mo

AU - Kim, Ji Yoon

AU - Yoon, Won Sup

AU - Lee, Nak Woo

AU - Choi, Jin Hwa

AU - Park, Sang Yoon

AU - Kim, Joo Young

PY - 2013/11/15

Y1 - 2013/11/15

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84886023793&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84886023793&partnerID=8YFLogxK

U2 - 10.1016/j.ijrobp.2013.07.020

DO - 10.1016/j.ijrobp.2013.07.020

M3 - Article

C2 - 24138914

AN - SCOPUS:84886023793

VL - 87

SP - 659

EP - 664

JO - International Journal of Radiation Oncology Biology Physics

JF - International Journal of Radiation Oncology Biology Physics

SN - 0360-3016

IS - 4

ER -