Tumor size combined with staging systems for thymoma recurrence prediction: A 28-year experience

BACKGROUND: We evaluated a new thymoma prognosis prediction model by combining current staging systems with tumor size. METHODS: The clinical records of thymoma patients in a single center between January 1993 and December 2021 were collected, and data on tumor size and stage and recurrence-free sur...

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Detalles Bibliográficos
Autores principales: Liu, Hao-Yun, Liu, Ya-Fang, Chang, Yi-Chen, Chiu, Hou-Chang, Yeh, Jiann-Horng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656211/
https://www.ncbi.nlm.nih.gov/pubmed/38026826
http://dx.doi.org/10.1016/j.sopen.2023.10.005
Descripción
Sumario:BACKGROUND: We evaluated a new thymoma prognosis prediction model by combining current staging systems with tumor size. METHODS: The clinical records of thymoma patients in a single center between January 1993 and December 2021 were collected, and data on tumor size and stage and recurrence-free survival (RFS) was obtained. The prediction model was designed by combining staging with tumor size. RESULTS: During 28 years, 219 thymoma patients were enrolled. Twenty-seven patients had a median RFS of 8.2 years. Further, 153 patients were categorized into limited stage and 66 patients into advanced stage. The RFS was statistically different between these two groups (P = 0.022). The largest area under the curve (AUC) of receiver operating characteristic (ROC) was the dividing group as 5 cm (AUC: 0.804). CONCLUSIONS: Combining tumor staging and size improves thymoma recurrence prediction. Patients with advanced stage and tumor size >5 cm may show a poor prognosis.

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