TABLE 2.

Tissue Classification Based on Radiomic Feature Classes and Signatures in 4-Tissue Model

Classification accuracyUnharmonizedHarmonizedP
MedianRangeMedianRange
Gray-level histogram
 Training46.344.8–48.956.153.6–60.40.043
 Validation45.842.5–49.253.846.3–56.30.043
Gray-level cooccurrence matrix
 Training43.437.5–46.162.760.5–64.30.043
 Validation39.236.7–41.757.550.8–65.00.042
Gray-level run-length matrix
 Training46.343.4–47.163.057.3–64.50.042
 Validation41.740.4–47.959.252.5–61.70.043
Gray-level size-zone matrix
 Training43.441.4–43.886.083.0–87.50.043
 Validation39.636.3–42.982.568.8–85.00.043
Neighborhood gray-tone difference matrix
 Training42.139.6–45.062.760.0–64.30.043
 Validation42.536.7–46.761.357.1–65.80.043
Radiomic signature
 Training51.648.2–56.682.180.0–86.30.042
 Validation48.842.9–50.881.367.5–82.90.043
  • Data are percentages.