Computational and Mathematical Methods in Medicine / 2022 / Article / Tab 2 / Research Article
Construction of Pulmonary Nodule CT Radiomics Random Forest Model Based on Artificial Intelligence Software for STAS Evaluation of Stage IA Lung Adenocarcinoma Table 2 Comparison of preoperative clinical imaging data between the STAS-negative group and STAS-positive group of the stage IA lung adenocarcinoma.
Variable STAS negative ( ) STAS positive ( ) valueSex 0.549 Male 31 (42.5%) 6 (31.6%) Female 42 (57.5%) 13 (68.4%) Age 53.1 (10.9) 56.9 (7.61) 0.085 Maximum CT value (Hu) -118.38 (141) 49.1 (62.9) <0.001 Minimum CT value (Hu) -553.00 [-659.00, -359.00] -347.00 [-465.50, -203.00] 0.001 Mean CT value (Hu) -321.60 [-442.01, -194.00] -106.42 [-133.14, -60.51] <0.001 Variance of CT values (Hu) 82.3 [58.4, 132] 115 [93.6, 152] 0.043 Kurtosis 2.40 [2.04, 2.50] 2.43 [2.13, 2.48] 0.732 Skewness 0.78 [0.39, 0.94] -0.75 [-0.84, 0.65] 0.006 Maximum section area (mm2 ) 152 [87.6, 231] 336 [171, 408] 0.004 Superficial area (mm2 ) 679 [378, 1284] 1289 [852, 1921] 0.005 3D longest diameter (mm) <0.001 Compactness 0.025 Sphericity 0.041 Entropy 8.19 [7.81, 8.57] 8.59 [8.38, 8.94] <0.001 Location 0.659 Right upper lobe 26 (35.6%) 7 (36.8%) Right lower lobe 18 (24.7%) 4 (21.1%) Right middle lung 5 (6.85%) 0 (0.00%) Left upper lung 16 (21.9%) 7 (36.8%) Left lower lobe 8 (11.0%) 1 (5.26%) Volume (mm3 ) 1641 [703, 2997] 3476 [2345, 4167] 0.001 CTR 0.46 [0.41, 0.49] 0.50 [0.49, 0.64] <0.001