已发表论文

成釉细胞瘤术后无复发生存率预后列线图的建立与验证

 

Authors Yang YC, Wang JJ, Huang Y, Cai WX, Tao Q

Received 23 February 2021

Accepted for publication 11 May 2021

Published 1 June 2021 Volume 2021:13 Pages 4403—4416

DOI https://doi.org/10.2147/CMAR.S307517

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 5

Editor who approved publication: Dr Chien-Feng Li

Purpose: Ameloblastoma is a benign odontogenic neoplasm with a high local recurrence rate if the operation is not thorough. However, a useful clinical tool for the quantitative assessment of the prognosis and risk of postoperative recurrence of ameloblastoma has not yet been constructed. This study aims to develop a prognostic nomogram model for ameloblastoma of the jaw to assist surgeons in surgical decision-making.
Patients and Methods: Patients who underwent initial surgery for ameloblastoma in our department from October 2004 to March 2020 were enrolled and randomly divided into training and validation sets. Univariate and multivariate Cox proportional hazards regression analyses were performed to identify the independent prognostic factors, from which a nomogram for predicting 3-, 5- and 10-year recurrence-free survival (RFS) of ameloblastoma was constructed using the training set and internally validated using the validation set. The model performance was assessed by Harrell’s concordance index (C-index) and calibration curves.
Results: A total of 302 eligible patients with ameloblastoma were enrolled, 54 of whom were confirmed to relapse during the follow-up period of 6 to 191 months. Four independent predictors, including cortical bone perforation, root(s) resorption, WHO classification, and treatment pattern, were identified and included in the construction of a nomogram for recurrence-free survival (RFS), which showed promising calibration performance and discrimination in the training set (C-index 0.790, 95% confidence interval [CI] 0.735– 0.845) and the validation set (C-index 0.734, 95% CI 0.599– 0.869).
Conclusion: A favorable nomogram was developed that accurately predicted the RFS of patients with ameloblastoma based on individual characteristics. Risk stratification using the nomogram could optimize tailored therapy and follow-up.
Keywords: ameloblastoma, nomogram, prognosis, recurrence, recurrence-free survival