Table 3 Whole-body patient dosimetry results reported in organ absorbed dose difference (mean ± std) for ten patients (n = 10) and their differences to the ground truth were statistically analyzed with paired t-test.

From: Deep-dose: a voxel dose estimation method using deep convolutional neural network for personalized internal dosimetry

\({\bf{M}}{\bf{e}}{\bf{a}}{\bf{n}}\,{\bf{o}}{\bf{r}}{\bf{g}}{\bf{a}}{\bf{n}}\,{\bf{a}}{\bf{b}}{\bf{s}}{\bf{o}}{\bf{r}}{\bf{b}}{\bf{e}}{\bf{d}}\,{\bf{d}}{\bf{o}}{\bf{s}}{\bf{e}}\, \% \,{\bf{d}}{\bf{i}}{\bf{f}}{\bf{f}}{\bf{e}}{\bf{r}}{\bf{e}}{\bf{n}}{\bf{c}}{\bf{e}}={{\boldsymbol{\sum }}}_{1}^{n}|\frac{{\boldsymbol{Metho}}{{\boldsymbol{d}}}_{{\boldsymbol{n}}}^{\ast }-{\boldsymbol{DM}}{{\boldsymbol{C}}}_{{\boldsymbol{n}}}^{\S }}{{\boldsymbol{DM}}{{\boldsymbol{C}}}_{{\boldsymbol{n}}}}|/{\boldsymbol{n}}\times {\bf{100}}\)

Method

VSV

Deep-dose

Organ-based dosimetry

Gallbladder wall

1.12 ± 1.17

1.18 ± 1.20

22.27 ± 22.28

NS

NS

p < 0.001

Heart wall

2.60 ± 1.15

1.14 ± 1.09

76.39 ± 27.05

p < 0.05

NS

p < 0.001

Kidney

2.55 ± 1.14

0.67 ± 0.57

3.86 ± 3.29

p < 0.05

NS

p < 0.001

Liver

1.86 ± 0.71

1.04 ± 0.99

19.01 ± 31.90

p < 0.01

NS

p < 0.001

Lung

53.66 ± 3.45

1.30 ± 1.15

23.43 ± 33.86

p < 0.001

NS

p < 0.001

Pancreas

1.71 ± 1.09

1.26 ± 1.74

1365.72 ± 1186.49

NS

NS

p < 0.001

Spleen

1.55 ± 0.97

0.79 ± 0.77

46.62 ± 104.20

NS

NS

p < 0.001

Stomach wall

2.70 ± 1.38

1.35 ± 1.19

42.94 ± 71.27

p < 0.05

NS

p < 0.001

Avg.

8.47 ± 1.38

1.09 ± 1.09

200.66 ± 185.04

Avg. (excluding Pancreas)

9.43 ± 0.85

1.07 ± 0.22

34.22 ± 31.63

  1. *Method: VSV or Deep-dose (CNN). §DMC: direct Monte Carlo simulation.
  2. The degree of significance is reported in the below of the corresponding differences (NS = nonsignificant).