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DOI 10.1186/s12957-023-03293-2

Медицинская библиотека · World journal of surgical oncology · 2024

Re-exploration of prognosis in type B thymomas: establishment of a predictive nomogram model.

Zhao Ke, Liu Lei, Zhou Xiaoyun, Wang Guige, Zhang Jiaqi, Gao Xuehan, Yang Libing, Rao Ke, Guo Chao, Zhang Ye, Huang Cheng, Liu Hongsheng, Li Shanqing, Chen Yeye

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Аннотация

OBJECTIVE

To explore the risk factors for disease progression after initial treatment of type B thymomas using a predictive nomogram model.

METHODS

A single-center retrospective study of patients with type B thymoma was performed. The Cox proportional hazard model was used for univariate and multivariate analyses. Variables with statistical and clinical significance in the multivariate Cox regression were integrated into a nomogram to establish a predictive model for disease progression.

RESULTS

A total of 353 cases with type B thymoma were retrieved between January 2012 and December 2021. The median follow-up was 58 months (range: 1-128 months). The 10-year progression-free survival (PFS) was 91.8%. The final nomogram model included R0 resection status and Masaoka stage, with a concordance index of 0.880. Non-R0 resection and advanced Masaoka stage were negative prognostic factors for disease progression (p < 0.001). No benefits of postoperative radiotherapy (PORT) were observed in patients with advanced stage and non-R0 resection (p = 0.114 and 0.284, respectively).

CONCLUSION

The best treatment strategy for type B thymoma is the detection and achievement of R0 resection as early as possible. Long-term follow-up is necessary, especially for patients with advanced Masaoka stage and who have not achieved R0 resection. No prognostic benefits were observed for PORT.

Для цитирования: Zhao Ke, Liu Lei, Zhou Xiaoyun, Wang Guige, Zhang Jiaqi, Gao Xuehan, Yang Libing, Rao Ke, Guo Chao, Zhang Ye, Huang Cheng, Liu Hongsheng, Li Shanqing, Chen Yeye. Re-exploration of prognosis in type B thymomas: establishment of a predictive nomogram model.. World journal of surgical oncology. 2024. DOI: 10.1186/s12957-023-03293-2.

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