+ Site Statistics
+ Search Articles
+ PDF Full Text Service
How our service works
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ Translate
+ Recently Requested

Retrospective study of 229 surgically treated patients with brain metastases: Prognostic factors, outcome and comparison of recursive partitioning analysis and diagnosis-specific graded prognostic assessment



Retrospective study of 229 surgically treated patients with brain metastases: Prognostic factors, outcome and comparison of recursive partitioning analysis and diagnosis-specific graded prognostic assessment



Surgical Neurology International 8: 259



Metastases are the most frequent tumors in the brain. Most often used scoring systems to predict the outcome are the RPA (Recursive Partitioning Analysis) classification and the DS-GPA (Diagnosis-Specific Graded Prognostic Assessment) score. The goal of our study was to determine prognostic factors which influence outcome in patients who undergo surgery for brain metastases and to compare different outcome scores. Two hundred and twenty-nine patients who underwent surgery for brain metastases in our institution between January 2005 and December 2014 were included in the study. Patient data were evaluated retrospectively. The mean survival time was 19.2 months (median survival time, MST: 8 months), for patients with a single metastasis (n = 149) 17.6 months (MST: 8 months), and for patients with multiple metastases (n = 80) 17.9 months (MST: 6 months). Significant influence on MST had age <65 years (9 vs. 5 months, P = 0.002), female sex (10 vs. 6 months, P < 0.001), RPA Class I and II (11 vs. 4 months, P < 0.001), Karnofsky score >70% (11 vs. 4 months, P < 0.001), and postoperative radiotherapy (8 vs. 5 months, P < 0.002). To evaluate the diagnostic power of DS-GPA and RPA score in respect of survival, two Cox regressions were modeled, where the RPA classification showed a better predictive power. Favorable factors for prolonged survival were KPS >70%, RPA Class I and II, age <65 years, female sex, a DS-GPA Score of 2.5-3 and 3.5-4, and adjuvant radiotherapy. The RPA Classification was more accurate in predicting the outcome than the DS-GPA score.

Please choose payment method:






(PDF emailed within 1 workday: $29.90)

Accession: 065482009

Download citation: RISBibTeXText

PMID: 29184710


Related references

Validation of Recursive Partitioning Analysis and Diagnosis-Specific Graded Prognostic Assessment in patients treated initially with radiosurgery alone. Journal of Neurosurgery 117 Suppl: 38-44, 2012

Does Graded Prognostic Assessment outperform Recursive Partitioning Analysis in patients with moderate prognosis brain metastases?. Cns Oncology 5(2): 69-76, 2016

Recursive partitioning analysis classification and graded prognostic assessment for non-small cell lung cancer patients with brain metastasis: a retrospective cohort study. Chinese Journal of Cancer Research 23(3): 177-182, 2011

Role of Recursive Partitioning Analysis and Graded Prognostic Assessment on Identifying Non-Small Cell Lung Cancer Patients with Brain Metastases Who May Benefit from Postradiation Systemic Therapy. Chinese Medical Journal 131(10): 1206-1213, 2018

Retrospective study of 127 surgically treated patients with multiple brain metastases: indication, prognostic factors, and outcome. Acta Neurochirurgica 155(3): 379-387, 2013

Is graded prognostic assessment an improvement compared with radiation therapy oncology group's recursive partitioning analysis classification for brain metastases?. Journal of Clinical Oncology 30(26): 3315-6; Author Reply 3316-7, 2012

Validation of the graded prognostic assessment index for surgically treated patients with brain metastases. Anticancer Research 28(5b): 3015-3017, 2008

Recursive partitioning analysis of prognostic factors for patients with four or more intracranial metastases treated with radiosurgery. Technology in Cancer Research and Treatment 6(3): 153-160, 2007

A nationwide multi-institutional retrospective study to identify prognostic factors and develop a graded prognostic assessment system for patients with brain metastases from uterine corpus and cervical cancer. Bmc Cancer 17(1): 397, 2017

Diagnosis-specific graded prognostic assessment score is valid in patients with brain metastases treated in routine clinical practice in two European countries. Medical Science Monitor 18(7): Cr450, 2012

Prognostic factors in patients with resected single brain metastases Evaluation of Recursive Partitioning Analysis classes I and II. International Journal of Radiation Oncology Biology Physics 51(3 Suppl. 1): 133-134, 2001

Prognostic factors in brain metastases Should patients be selected for aggressive treatment according to recursive partitioning analysis classes?. International Journal of Radiation Oncology Biology Physics 45(3 Suppl. ): 265, 1999

Prognostic factors in patients with resected single brain metastases: evaluation of recursive partitioning analysis (RPA) classes I and II. International Journal of Radiation Oncology*biology*physics 51(3-Supp-S1): 133-134, 2001

Prognostic factors in brain metastases: Should patients be selected for aggressive treatment according to recursive partitioning analysis (RPA) classes?. International Journal of Radiation Oncology Biology Physics 46(2): 297-302, 2000

Comparing survival predicted by the diagnosis-specific Graded Prognostic Assessment (Ds-Gpa) to actual survival in patients with 110 brain metastases treated with stereotactic radiosurgery. Radiotherapy and Oncology 138: 173-179, 2019