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TRLS-04. A Nomogram for Predicting Survival in Patients with Brain Metastases
- Source :
- Neuro-oncology Advances
- Publication Year :
- 2021
- Publisher :
- Oxford University Press (OUP), 2021.
-
Abstract
- Background Brain metastases are the most common intracranial tumors in adults, with a very poor prognosis, and poses distinct clinical challenges. This study aimed to develop a more accurate prognostic nomogram for predicting overall survival (OS) of patients with Brain Metastases. Methods We conducted a retrospective analysis of 1062 patients with brain metastases at the Sun Yat-sen University Cancer Center (SYSUCC, Guangzhou, China) between January 2010 and January 2018, Among them, 331 patients underwent surgery to remove brain metastases. Kaplan–Meier analysis was performed to screen for potential clinical variables that could be used to establish the nomogram for predicting overall survival. Results We found that age,gender, whether to remove intracranial lesions, radiotherapy, ECOG were independent prognostic factors for predicting the overall survival with brain metastases,and surgical resection for brain metastatic lesions could significantly improve OS,but only in certain groups of patients with brain metastases can benefit from intracranial lesion resection, such as no extracranial metastasis. And patients with brain metastases whose primary tumor is lung adenocarcinoma or breast cancer are more likely to benefit from surgery in terms of overall survival time.A nomogram for predicting 1- and 2-year overall survival rates was constructed, which exhibited good accuracy in predicting overall survival. Conclusion Through statistical analysis, we have found the factors related to the surgical benefit of patients with brain metastases, and established a prognostic nonogram,This nomogram may be used to guide individual treatments and in selecting an appropriate patient population for clinical trials.
Details
- ISSN :
- 26322498
- Volume :
- 3
- Database :
- OpenAIRE
- Journal :
- Neuro-Oncology Advances
- Accession number :
- edsair.doi.dedup.....884babe3976f45083f11207eb00824fc
- Full Text :
- https://doi.org/10.1093/noajnl/vdab071.022