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Table 1 OSS for joint kidney and tumour dosimetry based on the hybrid planar/SPECT method and on the approximation by Hänscheid et al. [13] (Eq. 4)

From: Influence of sampling schedules on [177Lu]Lu-PSMA dosimetry

fsysta (%)

NTPb

tSPECTc

OSSd (h)

RMSEKe (%)

μK  ±  σKf (%)

RMSETe (%)

μT  ±  σTf (%)

g

1

t1

52

7.0

− 2.8 ± 6.4

16

− 14 ± 7.6

25

2

t1 + 0.5 h

20, 192

8.0

0.6 ± 8.0

13

− 0.2 ± 13

50

2

t1 + 0.5 h

20, 192

7.4

0.5 ± 7.4

11

− 0.6 ± 11

75

2

t1 + 0.5 h

20, 192

6.6

0.2 ± 6.5

9.0

− 1.0 ± 8.9

25

3

t2 + 0.5 h

3, 96, 192

7.7

− 1.0 ± 7.7

7.8

− 1.9 ± 7.5

50

3

t2 + 0.5 h

3, 96, 192

7.1

− 1.0 ± 7.0

7.1

− 2.2 ± 6.8

75

3

t2 + 0.5 h

4, 100, 192

6.4

− 0.7 ± 6.3

6.3

− 1.8 ± 6.0

25

4

t3 + 0.5 h

3, 4, 92, 192

7.2

− 1.1 ± 7.1

7.6

− 1.4 ± 7.5

50

4

t3 + 0.5 h

3, 4, 92, 192

6.6

− 1.3 ± 6.5

6.9

− 1.7 ± 6.7

75

4

t3 + 0.5 h

3, 4, 92, 192

5.9

− 1.3 ± 5.8

6.3

− 2.0 ± 6.0

  1. aFraction of systematic error to the total error in the planar images
  2. bNumber of time points
  3. cTime point of the SPECT/CT
  4. dOptimal sampling schedules
  5. eRoot mean-squared error of the kidneys (subscript “K”) and tumours subscript (“T”)
  6. fMean and standard deviation of the relative deviations of the simulated time-integrated activity coefficients from the ground truth
  7. gNo division into systematic/stochastic error needed (simulated noise for the SPECT/CT: 5 %)