We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
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.
- Authors
Lu-Lu Zhang; Yi-Yang Li; Jiang Hu; Guan-Qun Zhou; Lei Chen; Wen-Fei Li; Ai-Hua Lin; Jun Ma; Zhen-Yu Qi; Ying Sun
- 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.
- Subjects
CPG nucleotides; PROPORTIONAL hazards models; RADIOTHERAPY; BODY mass index; HEALTH counseling
- Publication
Cancer Research & Treatment, 2018, Vol 50, Issue 4, p1084
- ISSN
1598-2998
- Publication type
Academic Journal
- DOI
10.4143/crt.2017.359