S-Space College of Medicine/School of Medicine (의과대학/대학원) Obstetrics & Gynecology (산부인과전공) Journal Papers (저널논문_산부인과학전공)
Postoperative Nomogram Predicting Risk of Recurrence After Radical Hysterectomy for Early-Stage Cervical Cancer
- Kim, Mi-Kyung; Jo, Hoenil; Kong, Hyoun-Joong; Kim, Hee Chan; Kim, Yong-Man; Kang, Soon-Beom; Lee, Hyo Pyo; Mok, Jung-Eun; Song, Yong-Sang; Kim, Jae Weon
- Issue Date
- LIPPINCOTT WILLIAMS & WILKINS
- INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER; Vol.20 9; 1581-1586
- Objective: The aim of this study was to develop a nomogram for predicting the 5-year disease-free survival (DFS) after radical hysterectomy for early-stage cervical cancer. Patients and Methods: An institutional database of 275 consecutive patients treated at Seoul National University Hospital for stage I to stage IIA cervical cancer was used to develop a nomogram based on Cox proportional hazards regression model. The developed nomogram was internally validated with bootstrapping, and performance was assessed by concordance index and a calibration curve. External validation was also performed using an independent data set of patients from Asan Medical Center. Results: From Cox regression analysis, disease stage, number of positive lymph nodes, parametrial involvement, and depth of invasion were identified as independent risk factors for disease recurrence (P < 0.05). The nomogram incorporating these factors appeared to be accurate and predicted the outcomes better than the International Federation of Gynecology and Obstetrics stage alone (concordance index, 0.858 compared with 0.719; P = 0.001). When applied to a separate validation set, the nomogram also showed similar predictive accuracy (concordance index, 0.879). Conclusion: We have developed a nomogram that can predict the recurrence risk in patients with early-stage cervical cancer after surgery, which was internally and externally validated.
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