Nomogram Prediction of Overall Survival After Curative Irradiation for Uterine Cervical Cancer
| Autor: | Sang Young Rhu, Jin Ho Kim, Kwangmo Yang, Mi Sook Kim, Kyung Hee Lee, Beob Jong Kim, Young-Joo Shin, Young-Seok Seo, Jin Kyu Kang, Chul-Koo Cho, Moon Hong Kim, Eui Don Lee, Seong Yul Yoo, Hyung Jun Yoo, Minsuk Kim, Suck Chul Choi |
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| Rok vydání: | 2011 |
| Předmět: |
Adult
Oncology Cancer Research medicine.medical_specialty Multivariate statistics Multivariate analysis medicine.medical_treatment Uterine Cervical Neoplasms Internal medicine medicine Humans Radiology Nuclear Medicine and imaging Stage (cooking) Lymph node Aged Neoplasm Staging Probability Proportional Hazards Models Retrospective Studies Radiation business.industry Proportional hazards model Age Factors Hemoglobin A Radiotherapy Dosage Middle Aged Nomogram Survival Analysis Surgery Clinical trial Radiation therapy Nomograms medicine.anatomical_structure Multivariate Analysis Female business |
| Zdroj: | International Journal of Radiation Oncology*Biology*Physics. 79:782-787 |
| ISSN: | 0360-3016 |
| DOI: | 10.1016/j.ijrobp.2009.11.054 |
| Popis: | Purpose The purpose of this study was to develop a nomogram capable of predicting the probability of 5-year survival after radical radiotherapy (RT) without chemotherapy for uterine cervical cancer. Methods and Materials We retrospectively analyzed 549 patients that underwent radical RT for uterine cervical cancer between March 1994 and April 2002 at our institution. Multivariate analysis using Cox proportional hazards regression was performed and this Cox model was used as the basis for the devised nomogram. The model was internally validated for discrimination and calibration by bootstrap resampling. Results By multivariate regression analysis, the model showed that age, hemoglobin level before RT, Federation Internationale de Gynecologie Obstetrique (FIGO) stage, maximal tumor diameter, lymph node status, and RT dose at Point A significantly predicted overall survival. The survival prediction model demonstrated good calibration and discrimination. The bootstrap-corrected concordance index was 0.67. The predictive ability of the nomogram proved to be superior to FIGO stage (p = 0.01). Conclusions The devised nomogram offers a significantly better level of discrimination than the FIGO staging system. In particular, it improves predictions of survival probability and could be useful for counseling patients, choosing treatment modalities and schedules, and designing clinical trials. However, before this nomogram is used clinically, it should be externally validated. |
| Databáze: | OpenAIRE |
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