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. 2015 Jul 22;17(11):1525–1537. doi: 10.1093/neuonc/nov117

Table 4.

Multivariable Cox models for (a) VASARI and volumetric features, (b) quantitative and qualitative imaging features in patients with glioblastoma, and (c) age- and KPS-adjusted multivariable Cox model for imaging features in patients with glioblastoma

Overall Survival
Progression-free Survival
HR (95% CI) P-value HR (95% CI) P-value
VASARI features model
 T1/FLAIR ratio (infiltrative/mixed vs expansive) 1.64 (1.04–2.6) .03
 Ependymal extension (yes vs no) 1.74 (1.11–2.73) .02
 Deep white matter invasion (yes vs no) 1.89 (1.20–2.97) .006 1.95 (1.20–3.16) .007
 Distribution (multifocal and multicentric vs focal) 3.6 (1.54–8.43) .003
Volumetric features model
 Tumor proportion 17.21 (2.42–122.55) .004
 Edema volume (higher vs lower than 85 000 mm3) 2.09 (1.29–3.39) .003
 Tumor volume (higher vs lower than 24 850 mm3) 1.61 (1.00–2.60) .050
Quantitative and qualitative imaging features
 Tumor volume (higher vs lower than 35 000 mm3) 1.74 (1.06–2.86) 0.03
 Eloquent brain (eloquent vs noneloquent) 2.92 (1.72–4.95) <0.001
 Deep white matter invasion (yes vs no) 1.90 (1.15–3.16) .01
 Distribution (multifocal and multicentric vs focal) 2.16 (0.94–4.97) .07
Age- and KPS-adjusted multivariable Cox model
 Tumor (higher vs lower than 35 000 mm3) 1.79 (0.94–3.42) 0.08
 Eloquent brain (eloquent vs noneloquent) 2.44 (1.28–4.65) 0.007
 Deep white matter invasion (yes vs no) 1.78 (1.03–3.07) .04
 Distribution (multifocal and multicentric vs focal) 2.07 (0.83–5.15) .11