Proposal of a Pretreatment Nomogram for Predicting Local Recurrence after Intensity-Modulated Radiation Therapy in T4 Nasopharyngeal Carcinoma: A Retrospective Review of 415 Chinese Patients.
- Author:
Lu Lu ZHANG
1
;
Yi Yang LI
;
Jiang HU
;
Guan Qun ZHOU
;
Lei CHEN
;
Wen Fei LI
;
Ai Hua LIN
;
Jun MA
;
Zhen Yu QI
;
Ying SUN
Author Information
- Publication Type:Original Article
- Keywords: Intensity-modulated radiation therapy; Recurrence; Nasopharyngeal carcinoma; Nomograms
- MeSH: Asian Continental Ancestry Group*; Body Mass Index; Calibration; Discrimination (Psychology); Drug Therapy; Ethmoid Sinus; Humans; Nomograms*; Recurrence*; Retrospective Studies*; Tumor Burden
- From:Cancer Research and Treatment 2018;50(4):1084-1095
- CountryRepublic of Korea
- Language:English
- Abstract: PURPOSE: Local relapse-free survival (LRFS) differs widely among patients with T4 category nasopharyngeal carcinoma (NPC). We aimed to build a nomogram incorporating clinicopathological information to predict LRFS in T4 NPC after definitive intensity-modulated radiation therapy (IMRT). MATERIALS AND METHODS: Retrospective study of 415 Chinese patients with non-metastatic T4 NPC treated with definitive IMRT with or without chemotherapy at our cancer center between October 2009 and September 2013. The nomogram for LRFS at 3 and 5 years was generated based on multivariate Cox proportional hazards regression, and validated using bootstrap resampling, assessing discriminative performance using the concordance index (C-index) and determining calibration ability via calibration curves. RESULTS: Five-year LRFS was 88.8%. We identified and incorporated four independent prognostic factors for LRFS: ethmoid sinus invasion, primary gross tumor volume, age, and pretreatment body mass index. The C-index of the nomogram for local recurrence was 0.732 (95% confidence interval, 0.726 to 0.738), indicating excellent predictive accuracy. The calibration curve revealed excellent agreement between nomogram-predicted and observed LRFS probabilities. Risk subgroups based on total point score cutoff values enabled effective discrimination of LRFS. CONCLUSION: This pretreatment nomogram enables clinicians to accurately predict LRFS in T4 NPC after definitive IMRT, and could help to facilitate personalized patient counselling and treatment strategies.
