Article Figures & Data
Figures
- Fig 1.
Patient population flow chart.
- Fig 2.
Sample T2-weighted images with tumor segmentations (A), ADC maps (B), FA maps (C), and dFA maps (D) from each LGG molecular subtype as well as mean ADC, FA, and dFA values (E) from these individual cases.
- Fig 3.
Boxplots showing mean ADC (A), FA (B), and dFA (C) values across LGG subtypes. Central lines indicate median values, box edges indicate 25th and 75th percentiles, and whiskers extend to the full data range, excluding outliers (which are indicated by plus signs). P values < 0.008 indicate statistically significant differences to account for multiple comparisons.
Tables
Features selected in the imbalance-adjusted bootstrap resampling process for each classification schemea
Histogram and Texture Features ADC ADC + FA ADC + dFA Feature Weight Feature Weight Feature Weight IDHWT vs IDHMUT ADC 75% −6.5 ADC 10% 109.4 ADC 10% 40.4 ADC 90% −71.4 ADC homogeneity 60.2 ADC energy 4363.0 dFA energy −1459.0 FA 75% 227.5 dFA skewness −6.45 FA contrast 24.2 FA homogeneity −346.9 IDHMUT-Codel vs IDHMUT-Noncodel ADC 50% −10.7 ADC 50% −266.8 ADC 75% −62.9 ADC 25% 306.8 ADC 10% 40.0 ADC skewness −17.9 dFA 50% 202.9 FA 75% 460.9 dFA skewness 11.9 FA skewness −141.5 ↵a For IDHWT vs IDHMUT, positive values indicate positive correlations with IDHWT. For IDHMUT-Codel vs IDHMUT-Noncodel, positive values indicate positive correlations with IDHMUT-Noncodel. ADC units are in square millimeters/millisecond.
