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Table 3 VASARI features predicting high grade glioma yields 8 significant features with non-zero coefficients

From: Beyond invasive biopsies: using VASARI MRI features to predict grade and molecular parameters in gliomas

Selected VASARI features

Logistic LASSO coefficient

Category

OR (95% CI)

p-value

f4–enhancement quality

1.090

(marked/avid)

20.70 (4.782—89.607)

 < 0.001

f5–proportion enhancing

1.549

(34–67%)

11.48 (1.302—75.159)

0.028

f7–proportion necrosis

0.719

   

f8–cysts

-1.004

   

f10–T1/FLAIR ratio

0.503

(infiltrative)

41.99 (4.603—383.215)

0.001

f13–definition of the non-enhancing margin

0.449

   

f16–hemorrhage

0.650

(yes)

13.57 (4.553—40.442)

 < 0.001

f17–diffusion characteristics

0.966

   
  1. Categories (within parentheses) have significant odds ratios compared to their base categories for predicting high grade glioma
  2. VASARI Visually AcceSAble Rembrandt Images, OR odds ratio, FLAIR fluid-attenuated inversion recovery, LASSO (Least Absolute Shrinkage and Selection Operator)
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Cancer Imaging

ISSN: 1470-7330

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