Table 1:

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

Predictor	Ratio	Odds Ratio (95% CI)	P Value
Maximum diameter (cm)	1st Quartile: 3rd quartile	1.33 (0.70–2.49)	.381
Margins	Irregular: sharp	1.04 (0.47–2.33)	.917
Texture	Homogeneous (<75%): homogeneous (>75%)	12.33 (4.66–31.58)	<.001^{^a}
Peritumoral edema	Yes: no	1.42 (0.62–3.23)	.973
Hydrocephalus	No: yes	2.32 (0.88–6.11)	.089
Midline shift (cm)^{^b}	1st Quartile: 3rd quartile	4.27 (1.49–12.23)	.027^{^a}
Enhancement	Yes: no	1.28 (0.57–2.86)	.555
Necrosis	Yes: no	2.18 (0.61–7.69)	.228
T2* blooming	Yes: no	6.92 (2.04–23.49)	.002^{^a}
Cortical infiltration	Yes: no	2.02 (0.67–6.10)	.212
Cyst	No: yes	1.18 (0.48–2.91)	.715
T2 FLAIR mismatch sign^{^c}	No: yes	22.50 (6.26–∞)	<.001^{^a}
Gliomatosis	Yes: no	1.13 (0.18–7.08)	.896
Primary lobe	Frontal: nonfrontal	5.68 (2.08–15.44)	.001^{^a}
Age	3rd Quartile: 1st quartile	3.38 (1.71–6.71)	<.001^{^a}
Sex	Female: male	1.55 (0.69–3.50)	.283