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. Author manuscript; available in PMC: 2017 Dec 1.
Published in final edited form as: J Thorac Oncol. 2016 Jul 13;11(12):2120–2128. doi: 10.1016/j.jtho.2016.07.002

Table 3. Risk Scores for 3 approaches from baseline NLST for predicting subsequent cancer.

Lung-RADS obtained a total accuracy of 71.4%. The McWilliams approach obtained an accuracy of 78.9%. The Radiomic approach obtained an accuracy of 80.0%. The Volume Only approach obtained an accuracy of 71.8%.

Model Category # Malignant # Benign Total Accuracy TPR TNR
Overall Total 58 127 185
Lung- RADS (71.4%) 2 32 99 131 75.6%
3 13 20 33 60.6%
4A 10 7 17 58.8%
4B 3 1 4 75.0%
Total 58 127 185 71.4% 22.4 % 93.7%
McWilliams (78.9%) Low 24 98 122 79.7%
Intermediate 7 21 28 75.0%
High 27 8 35 77.1%
Total 58 127 185 78.9% 46.5 % 93.7%
Radiomics (80.0%) Low 6 80 86 93.0%
Intermediate-Low 22 38 60 63.3%
Intermediate-High 17 8 25 68.0%
High 13 1 14 92.9%
Total 58 127 185 80.0% 51.7% 92.9%
Volume (71.8%) Low 17 85 102 83.3%
Intermediate-Low 13 20 33 60.6%
Intermediate-High 5 15 20 25.0%
High 23 7 30 76.6%
Total 58 127 185 71.8% 48.2% 82.7%

Lung RADS categories include: Benign Appearance and Behavior (2), Probably Benign (3), and Suspicious (4A, 4B). McWilliams categories include: Low, Intermediate, and High Radiomics categories include: Low, Intermediate-Low, Intermediate-High, and High Volume Only categories include: Low, Intermediate-Low, Intermediate-High, and High TPR – True Positive Rate (Sensitivity), TNR – True Negative Rate (Specificity) Top accuracies per method are in bold