Comparison of Prognostic Indices in NSCLC Patients with Brain Metastases after Radiosurgery
| Autor: | Jian Fei Du, Wen Xing Kang, Jian Mao, Xue Cheng Zhang, Nan Jiang, Shi Gao Huang, Hong Xiang Gao, Qi Zhao |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Oncology
Adult Male medicine.medical_specialty Lung Neoplasms medicine.medical_treatment Recursive partitioning Context (language use) Applied Microbiology and Biotechnology Radiosurgery 03 medical and health sciences Young Adult 0302 clinical medicine Non-small cell lung cancer Internal medicine brain metastases Carcinoma Non-Small-Cell Lung medicine Humans Molecular Biology Survival rate decision curve analysis Ecology Evolution Behavior and Systematics Survival analysis Aged Proportional Hazards Models Retrospective Studies Aged 80 and over Proportional hazards model business.industry Brain Neoplasms prognostic index radiosurgery Cell Biology Middle Aged medicine.disease Prognosis Primary tumor Radiation therapy 030220 oncology & carcinogenesis Female business 030217 neurology & neurosurgery Developmental Biology Research Paper |
| Zdroj: | International Journal of Biological Sciences |
| ISSN: | 1449-2288 |
| Popis: | Prognostic indices are commonly used in the context of brain metastases radiotherapy to guide patient decision-making and clinical trial stratification. This study is to choose an appropriate prognostic index (PI) for non-small cell lung cancer (NSCLC) patients with brain metastases (BM) who underwent radiosurgery. A total of 103 patients with BM from NSCLC receiving radiosurgery were analyzed retrospectively. There are six prognostic factors were analyzed, including age, primary tumor control, extracranial metastasis, KPS score, number of lesions, max lesion volume; and four prognostic indices were compared, include Recursive Partitioning Analysis (RPA),Graded Prognostic Assessment (GPA), Score Index for Radiosurgery (SIR), Basic Score for Brain Metastases (BSBM). Survival curves were estimated with the Kaplan-Meier method and compared with a log-rank test stratified according to the PIs. Univariate and multivariate analysis was performed using the Cox regression analysis. The PI's predictive capacity was compared in terms of Akaike information criterion (AIC), Log-rank × 2, Concordance index (C-index) and calibration curve. The median survival time was 8 months, and the 6-months and 12-months survival rate were 61% and 26% respectively. All four prognostic indices were correlated with prognosis (P |
| Databáze: | OpenAIRE |
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