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. 2016 Feb 9;6:21161. doi: 10.1038/srep21161

Table 1. (A) A summary of existing prognostic systems. Many existing prognostic systems utilize a similar feature set, but differ considerably in their types (continuous vs categorical) and in the predictors constructed with those features in the original manuscripts. (B) A summary of the number of patients at each time threshold with patients not having complete data at each threshold being censored.

Prognostic Scoring System Feature List Feature type Original Model/Predictor
A:  Summary of existing prognostic systems
SM Classification1 Maximum nidus diameter Categorical: 1–3 Quadratic regression (∑ features)
Location (±critical function) Binary: 0, 1
Venous drainage Binary: 0, 1
RBAS1 Volume Continuous Linear regression (∑ weighted features)
Location (deep vs superficial) Binary: 0, 1
Age Continuous
VRAS1 Volume Categorical: 0–2 Logistic regression (∑ features)
Location (±critical function) Binary: 0, 1
History of hemorrhage Binary: 0, 1
B:  Number of patients at each time threshold
Time Threshold Number of patients
Year 2 1674
Year 3 1586
Year 4 1442
Year 5 1386
Year 6 1340
Year 7 1308
Year 8 1291

1SM = Spetzler-Martin; RBAS = modified radiosurgery-based AVM score; VRAS = Virginia radiosurgery AVM scale.