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1.
Article | IMSEAR | ID: sea-187340

ABSTRACT

Background: Whole brain radiotherapy for patients with brain metastasis from lung cancer – prognostic significance of RTOG-RPA score. Aim: To evaluate the prognostic significance of Recursive partition Analysis (RPA) score in predicting the survival in patients with brain metastasis from Non-Small Cell Lung Cancer (NSCLC). Materials and methods: 35 patients diagnosed to have brain metastasis (BM) from primary NSCLC who had received palliative whole brain radiotherapy (WBRT) with or without chemotherapy from March 2014 to Mar 2017 were analyzed in this study. Data regarding the patient age, gender, performance status, histology, number of BM, time of metastasis, neurosurgical resection, radiotherapy details were collected and analyzed. Patients were divided into 3 groups according to RPA classification. The differences in clinical characteristics and treatment variables were analyzed by chi square test and overall survival analysis using Kaplan Mayer. The Cox proportional hazards regression model was used to determine statistically significant variables related to survival. Results: In univariate analysis histology, number of BM, extra cranial metastases, KPS and RPA score were identified to have prognostic significance. The result of multivariate analysis by the Cox proportional hazard model showed that RPA, no of mets and Extra cranial mets were significant. S. Jeeva, K. Chandralekha, V. Vanitha, M. Sornam, Balasubramanium, P. Vidya. Whole brain radiotherapy for patients with brain metastasis from lung cancer – Prognostic significance of RTOG-RPA score. IAIM, 2019; 6(5): 32-39. Page 33 Conclusions: Our study showed that RPA is good prognostic indicator in assessing the prognosis of patients with brain metastasis in NSCLC.

2.
Article | IMSEAR | ID: sea-187301

ABSTRACT

Background: Patients with high grade gliomas have poor survival even with aggressive multimodality approach. The aim of our study is to evaluate the predicting factors affecting the survival outcome in patients with high grade gliomas (HGG). Materials and methods: 46 patients diagnosed to have high grade gliomas (HGG) treated in our Radiotherapy department during the period of March 2014 to March 2017 were analyzed in this single centre retrospective study. All patients underwent maximal safe surgery followed by postoperative radiotherapy with or without temozolamide chemotherapy. Data regarding the patient age, gender, performance status, histology, grade of the tumor, tumor location, extent of surgery, radiotherapy, and chemotherapy details were collected and analyzed. The differences in clinical characteristics and treatment variables were analyzed by chi square test and overall survival analysis using Kaplan Mayer method. The Cox proportional hazards regression model was used to determine statistically significant variables related to survival. Results: The median survival of patients with HGG in this study was 9 months. The median survival of patients with grade III and IV glioma was 19 and 4 months respectively. In univariate analysis histology, grade, laterality were identified to have prognostic significance. The result of multivariate analysis showed that performance status, grade, histology, extent of surgery is significant for survival. S. Jeeva, V. Vanitha, K. Chandralekha, M. Sornam, Balasubramanium, P. Vidya. Predictive factors for survival and outcome in patients with high grade gliomas: A single centre retrospective study. IAIM, 2019; 6(3): 24-31. Page 25 Conclusion: Our study showed that histology, grade, extent of surgery is the significant factors in assessing the prognosis of patients with HGG. The survival of HGG was poor in spite of combined modality treatment.

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