Table 1.
The BSI-values for the different skeletal regions
| Covariate | Mean | Median | STD | Zeros | Unique |
|---|---|---|---|---|---|
| Age |
77.02 |
78.00 |
9.13 |
0.00% |
7.46% |
| BSI |
2.23 |
0.56 |
3.18 |
0.00% |
47.46% |
| C_Spine |
0.03 |
0.00 |
0.09 |
77.16% |
6.27% |
| Clavicle |
0.02 |
0.00 |
0.05 |
72.99% |
4.33% |
| Costae |
0.30 |
0.00 |
0.56 |
52.09% |
21.34% |
| Femur |
0.11 |
0.00 |
0.28 |
69.25% |
12.69% |
| Humerus |
0.04 |
0.00 |
0.14 |
80.45% |
7.91% |
| L_Spine |
0.31 |
0.12 |
0.40 |
40.45% |
20.15% |
| Pelvis |
0.78 |
0.13 |
1.23 |
41.04% |
32.39% |
| Sacrum |
0.17 |
0.00 |
0.45 |
63.28% |
14.18% |
| Scapula |
0.10 |
0.00 |
0.17 |
58.21% |
10.30% |
| Skull |
0.10 |
0.00 |
0.33 |
68.81% |
11.64% |
| Th_Spine |
0.21 |
0.04 |
0.32 |
40.30% |
16.72% |
| Sternum | 0.04 | 0.00 | 0.07 | 60.90% | 4.63% |
Besides the mean, median and standard deviation, the table also lists the fraction of zeros, patients with no metastases in that region, and the fraction of unique values, which in some respect describes the granularity of the data which can be relevant for machine learning.