Table 1:

Univariate logistic regression analyses for predicting 1p/19q codeletion among the training dataset

PredictorRatioOdds Ratio (95% CI)P Value
Maximum diameter (cm)1st Quartile: 3rd quartile1.33 (0.70–2.49).381
MarginsIrregular: sharp1.04 (0.47–2.33).917
TextureHomogeneous (<75%): homogeneous (>75%)12.33 (4.66–31.58)<.001a
Peritumoral edemaYes: no1.42 (0.62–3.23).973
HydrocephalusNo: yes2.32 (0.88–6.11).089
Midline shift (cm)b1st Quartile: 3rd quartile4.27 (1.49–12.23).027a
EnhancementYes: no1.28 (0.57–2.86).555
NecrosisYes: no2.18 (0.61–7.69).228
T2* bloomingYes: no6.92 (2.04–23.49).002a
Cortical infiltrationYes: no2.02 (0.67–6.10).212
CystNo: yes1.18 (0.48–2.91).715
T2 FLAIR mismatch signcNo: yes22.50 (6.26–∞)<.001a
GliomatosisYes: no1.13 (0.18–7.08).896
Primary lobeFrontal: nonfrontal5.68 (2.08–15.44).001a
Age3rd Quartile: 1st quartile3.38 (1.71–6.71)<.001a
SexFemale: male1.55 (0.69–3.50).283
  • a Significant.

  • b Analyzed as a restricted cubic spline function of the predictor.

  • c Median unbiased estimate derived with exact logistic regression.