Prognostic factors in brain metastases: should patients be selected for aggressive treatment according to recursive partitioning analysis (RPA) classes?

Use of the Radiation Therapy Oncology Group recursive partitioning analysis classification system and predictors of survival in 19 women with brain metastases from ovarian carcinoma

“…The survival times were longer in the current series than those reported by Gaspar et al 12 However, the trend was consistent with other studies and lends validity to this classification system. 13,24 Although our results were not statistically significant, the differences in survival were striking and should not be overlooked. The results may be attributable to the small sample size, or it may also be related to factors specific to our ovarian-only series.…”

Bevacizumab in Patients with Nonsquamous Non–Small Cell Lung Cancer and Asymptomatic, Untreated Brain Metastases (BRAIN): A Nonrandomized, Phase II Study

“…The primary score used to predict prognosis of patients with brain metastases remains the recursive partitioning analysis (RPA) score, which splits patients into 3 classes (class 1: patients with Karnofsky performance status !70% and age <65 years with controlled primary and no extracranial metastases; class 3: KPS <70%; class 2: all others; refs. [6][7][8][9]. Most patients are RPA class 3 with a prognosis of 2 months or RPA class 2 with a prognosis of 6 months (10).…”

Stereotactic Radiosurgery in Treatment of Cerebral Metastases: Histological Differences in Predictors of Survival

“…A review of the histology specific literature reveals a wide variation within different histological subtypes, making generalizing any staging criteria difficult [6,8,[10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]. To our knowledge, there are five studies (including the current study) reporting outcomes of brain metastasis from breast primaries with a study size of at least 100 patients [6,8,21,25].…”