TABLE 1.

Tissue Classification Based on Radiomic Feature Classes and Signatures in 3-Tissue Model

Classification accuracyUnharmonizedHarmonizedP
MedianRangeMedianRange
Gray-level histogram
 Training59.557.4–62.169.566.0–77.10.043
 Validation58.953.3–61.168.358.3–73.90.043
Gray-level cooccurrence matrix
 Training53.647.9–56.792.188.1–95.20.043
 Validation50.048.9–5586.180.6–90.60.043
Gray-level run-length matrix
 Training62.458.8–64.584.882.4–89.50.043
 Validation58.357.2–62.882.873.9–87.80.043
Gray-level size-zone matrix
 Training56.252.9–57.987.684.0–89.00.042
 Validation52.851.7–58.385.674.4–90.60.043
Neighborhood gray-tone difference matrix
 Training54.853.3–55.779.575.5–82.90.043
 Validation53.950–59.477.273.9–85.00.042
Radiomic signature
 Training62.961–63.686.986.0–90.00.043
 Validation58.355.6–63.984.476.7–86.70.043
  • Data are percentages.