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Table 2 Model estimates of the final pharmacokinetic model for [177Lu]Lu-PSMA-I&T

From: Quantification of biochemical PSA dynamics after radioligand therapy with [177Lu]Lu-PSMA-I&T using a population pharmacokinetic/pharmacodynamic model

Pharmacokinetic parameters

Estimate (RSE%)

95% CI

Structural parameters

  

k10 (h−1)

0.253 (5.2%)

0.229–0.281

k12 (h−1)

0.0105 (9.2%)

0.00878–0.0125

 Tumor volume on k12a

0.0910 (30.0%)

0.0350–0.544

k21 (h−1)

0.0629 (6.3%)

0.0555–0.0715

k13 (h−1)

0.0321 (6.9%)

0.0281–0.0368

k31 (h−1)

0.0625 (5.4%)

0.0561–0.0689

k14 (h−1)

0.00967 (9.9%)

0.00807–0.0117

 Tumor volume on k14a

1.08 (7.5%)

0.921–1.24

 Cycle 2 on k14b

0.731 (8.1%)

0.619–0.857

 Cycle 3 on k14b

0.498 (11.3%)

0.407–0.624

 Cycle 4–7 on k14b

0.436 (11.6%)

0.350–0.544

k41 (h−1)

0.0150 (3.4%)

0.0141–0.0161

k15 (h−1)

0.275 (6.8%)

0.240–0.314

k51 (h−1)

0.0247 (6.5%)

0.0216–0.279

BMAX compartment 2 (MBq)

134 (15.5%)

100–183

V1 (L)

10.3c

 

Inter-individual variability

  

k10 (CV%)

33.1 (18.5%)

27.6–39.7

k13 (CV%)

33.4 (22.2%)

26.8–40.8

k14 (CV%)

63.4 (18.9%)

52.0–75.1

k15 (CV%)

29.1 (35.5%)

20.2–40.0

BMAX compartment 2 (CV%)

67.0 (36.1%)

49.1–94.2

Inter-occasion variability

  

k14 (CV%)

37.8 (16.5%)

31.5–44.1

Residual unexplained variability

  

Proportional error compartment 1 (CV%)

55.5 (29.0%)

39.0–71.6

Additive error compartment 1 (MBq/L)

9.57 (16.8%)

8.02–11.2

Proportional error compartment 2 (CV%)

39.7 (8.6%)

36.7–43.2

Proportional error compartment 3 (CV%)

31.9 (8.5%)

29.4–34.6

Proportional error compartment 4 (CV%)

32.7 (9.7%)

30.0–36.2

  1. 95% CI and RSE values were obtained from the SIR
  2. BMAX maximum binding capacity, CI confidence interval, CV% coefficient of variation, RSE relative standard error, SIR sampling importance resampling, V1 central volume of distribution
  3. aAdded using a power covariate function: \(P_{cov} = P_{pop} *\left( {\frac{COV}{{COV_{median} }}} \right)^{{\theta_{cov} }}\)
  4. bAdded as fractional change: \(P_{cov} = P_{pop} * \theta_{cov1}^{cycle 2} * \theta_{cov2}^{cycle 3} *\theta_{cov3}^{cycle 4 - 7}\)
  5. cFixed parameter