From: Development and performance evaluation of a deep learning lung nodule detection system
Characteristic | # | |
---|---|---|
Criterion 1 | Criterion 2 | |
Data information | ||
 No. of chest CTs | 40 |  |
  No. of positive cases | 17 | 29 |
  No. of negative cases | 23 | 11 |
 No. of patients | 40 |  |
  No. of men | 29 |  |
  No. of women | 11 |  |
 Mean age* (y) | 64.7 ± 13.6 |  |
 Slice thickness (mm) |  |  |
  2.0 | 40 |  |
 Contrast | ||
   Non contrast | 40 |  |
 Kernel type | ||
  Lung kernel | 40 |  |
 Manufacturer | ||
  Toshiba Medical Systems Corp | 40 |  |
Nodule information | ||
 No. of total nodules | 115 |  |
 No. of nodules (follow-up required) | 57 (3.4/scan) | 53 (1.8/scan) |
 No. of nodules according to size (mm) | ||
   ≤ 10.0 | 38 | 28 |
   ≤ 20.0 | 11 | 16 |
   ≤ 30.0 | 3 | 4 |
   > 30.0 | 5 | 5 |
 Lobular distribution | ||
  Right upper | 11 | 14 |
  Right middle | 7 | 4 |
  Right lower | 17 | 16 |
  Left upper | 9 | 8 |
  Left lower | 13 | 11 |
 Internal characteristics | ||
  Solid | 43 | 34 |
  Part solid | 8 | 12 |
  GGN | 6 | 7 |