| |
Model training
|
|---|
|
Solid organs and tumors
|
|---|
|
ntrain
|
\({\alpha }_{0,k}\)
|
\({\alpha }_{1,k}\)
|
\({\alpha }_{2,k}\)
|
\({r}_{\mathrm{train}}^{2}\)
|
ntrain
|
\({\alpha }_{0,k}\)
|
\({\alpha }_{1,k}\)
|
\({\alpha }_{2,k}\)
|
\({r}_{\mathrm{train}}^{2}\)
|
|---|
|
tf = t1
|
tf = t2
|
|---|
|
Kidneys
|
40
|
12.01
|
0.91
|
0.0153
|
0.85
|
36
|
11.87
|
0.85
|
0.0117
|
0.98
|
|
Tumors
|
39
|
13.27
|
1.03
|
− 0.0105
|
0.97
|
35
|
12.90
|
0.99
|
0.0070
|
0.99
|
|
Liver
|
40
|
12.37
|
0.96
|
0.0205
|
0.88
|
36
|
11.86
|
0.86
|
0.0111
|
0.97
|
|
Spleen
|
37
|
12.21
|
1.00
|
0.0336
|
0.97
|
33
|
12.48
|
0.93
|
0.0094
|
0.99
|
| |
tf = t3
|
tf (t1, t2, t3)
|
|
Kidneys
|
40
|
11.83
|
0.83
|
0.0103
|
0.95
|
116
|
11.86
|
0.85
|
0.0111
|
0.94
|
|
Tumors
|
39
|
12.76
|
0.97
|
0.0081
|
0.99
|
113
|
12.80
|
0.99
|
0.0086
|
0.99
|
|
Liver
|
40
|
12.57
|
0.91
|
0.0077
|
0.97
|
116
|
12.26
|
0.90
|
0.0090
|
0.92
|
|
Spleen
|
37
|
12.52
|
0.94
|
0.0090
|
0.99
|
107
|
12.51
|
0.95
|
0.0094
|
0.98
|
|
tf
|
Bone marrow
|
|---|
|
ntrain
|
\({\Theta }_{\mathrm{BM,BM}}\)
|
\({\Theta }_{\mathrm{BM,RM}}\)
|
\({\beta }_{0,{\mathrm{BM}}}\)
|
\({\beta }_{1,{\mathrm{BM}}}\)
|
\({\beta }_{2,{\mathrm{BM}}}\)
|
\({r}_{\mathrm{train}}^{2}\)
|
|---|
|
t1
|
40
|
1868
|
319
|
4.26
|
1.07
|
0.0241
|
0.78
|
|
t3
|
40
|
1889
|
315
|
5.03
|
0.82
|
0.0069
|
0.92
|
|
(t1, t3)
|
80
|
1879
|
316
|
4.59
|
0.90
|
0.0101
|
0.83
|
- tf and ntrain represent, respectively, the time points considered for model training and the number of studies included in each case. α, β and \(\Theta\) represent the regression coefficients obtained for a given organ/tumor and tf. Corresponding coefficients of determination \({r}_{\mathrm{train}}^{2}\) are also shown
