Quantitative SSTR-PET/CT for predicting response and survival outcomes in patients with pancreatic neuroendocrine tumors receiving CAPTEM
, , , , , , , oraz
30 lis 2023
O artykule
Kategoria artykułu: Research Article
Data publikacji: 30 lis 2023
Zakres stron: 436 - 445
Otrzymano: 05 cze 2023
Przyjęty: 25 wrz 2023
DOI: https://doi.org/10.2478/raon-2023-0055
Słowa kluczowe
© 2023 Maria Ingenerf et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
FIGURE 1.

Cox regression analysis for overall survival (OS)
Age (years) | 1.059 | 1.003–1.118 | 1.054 | 0.996–1.115 | 0.071 | |
Sex | 2.326 | 0.486–11.4 | 0.291 | |||
Grading | ||||||
|
0.64 | |||||
|
0 | 0 | 0.988 | |||
|
2.137 | 0.442–10.325 | 0.345 | |||
Ki-67 | 1.033 | 0.979–1.09 | 0.24 | |||
Chromgranin | 1 | 1.0–1.0 | 0.572 | |||
Hepatic tumor burden | 1.005 | 0.974–1.036 | 0.776 | |||
SUVmax LM | 0.982 | 0.949–1.016 | 0.294 | |||
SUVmean LM | 0.951 | 0.894–1.012 | 0.114 | |||
SUVmax Pankreas | 0.962 | 0.916–1.011 | 0.125 | |||
SUVmean Pankreas | 0.912 | 0.813–1.023 | 0.115 | |||
Tmax/Lmean | 0.988 | 0.856–1.142 | 0.874 | |||
Tmean/Lmean | 0.879 | 0.653–1.184 | 0.396 | |||
Tmax/Smean | 0.83 | 0.516–1.336 | 0.443 | |||
Tmean/Smean | 0.615 | 0.239–1.581 | 0.313 | |||
CgA | 1.006 | 1.0–1.012 | 1.003 | 0.996–1.01 | 0.448 | |
SUVmax LM | 1.004 | 0.99–1.018 | 0.563 | |||
SUVmean LM | 1.006 | 0.99–1.022 | 0.493 | |||
HU LM | 0.986 | 0.956–1.017 | 0.374 | |||
SUVmax Pankreas | 1.006 | 0.998–1.013 | 0.118 | |||
SUVmean Pankreas | 1.007 | 0.998–1.015 | 0.132 | |||
Tmax/Lmean | 1 | 0.989–1.011 | 0.986 | |||
Tmean/Lmean | 1.001 | 0.988–1.013 | 0.933 | |||
Tmax/Smean | 1.014 | 1.002–1.026 | 1.008 | 0.971–1.046 | 0.68 | |
Tmean/Smean | 1.017 | 1.003–1.032 | 1.011 | 0.973–1.05 | 0.58 | |
Size LM (mm) | 1.011 | 0.991–1.031 | 0.289 | |||
Size Pancreas | 1.004 | 0.986–1.023 | 0.672 | |||
Size total (RECIST) | 1.009 | 0.988–1.031 | 0.409 |
Imaging and clinical parameters on baseline and follow-up imaging
66 (56–75) | 69 (57–82) | 0.44 | |||||
13 (7–20) | 10 (4–15) | 0.33 | |||||
0 | 1 | ||||||
6 | 11 | ||||||
4 | 0 | ||||||
12.5 (7.3–20) | 10 (4.3–15) | 0.33 | |||||
7 (70%) | 10 (83%) | ||||||
796 (512–2756) | 270 (102–1136) | 178 (90–845) | 198 (96–1071) | 0.06 | |||
0.6 (0.60.88) | 0.85 (0.5–1.1) | 0.64 | 0.6 (0.43–0.9) | 0.55 (0.33–0.88) | > 0.99 | 0.45 | |
35 (5–40) | 13 (5–33) | 0.16 | 13 (5–38) | 15 (5–38) | 0.25 | 0.42 | |
47 (24–62) | 21 (13–46) | 24 (13–43) | 21 (11–39) | 0.15 | |||
30 (15–38) | 15 (11–24) | 14 (9–22) | 11 (8–17) | 0.40 | |||
6.9 (3.2–11.3) | 2.8 (1.6–8.3) | 3.6 (2.0–5.8) | 3.2 (1.5–5.5) | 0.6 | |||
4.8 (2.0–6.8) | 1.9 (1.2–3.9) | 2.1 (1.4–2.9) | 1.6 (1.1–2.6) | ||||
2.0 (1.4–4.1) | 0.9 (0.5–3.0) | 1.3 (0.5–1.9) | 1.3 (0.4–2.2) | 0.12 | |||
1.4 (0.8–2.1) | 0.7 (0.4–1.5) | 0.7 (0.4–1.1) | 0.6 (0.3–1.1) | 0.19 | |||
32 (24–42) | 20 (14–32) | 27 (17–36) | 30 (18–43) | 0.12 | 0.10 | ||
106 (88–116) | 106 (95–126) | 0.41 | 92 (85–108) | 90 (68 –104) | 0.09 | ||
26 (14–47) | 26 (16–41) | 0.94 | 30 (12–59) | 28 (16–45) | 0.2 | 0.68 | |
17 (9–22) | 18 (13–28) | 0.81 | 15 (9–33) | 15 (15–30) | 0.57 | 0.98 | |
35 (25–38) | 20 (14–37) | 34 (20–47) | 34 (23–54) | 0.81 | 0.92 | ||
105 (77–113) | 94 (88–98) | 0.79 | 107 (81–117) | 92 (81–100) | 0.15 | 0.89 |
Cox regression analysis for progression free survival (PFS)
Age (years) | 1.037 | 0.995–1.082 | 0.084 | |||
Sex | 1.105 | 0.324–2.528 | 0.849 | |||
Grading | ||||||
G1 | 0.251 | |||||
G2 | 0 | 0 | 0.985 | |||
G3 | 2.913 | 0.827–10.625 | 0.096 | |||
Ki-67 | 1.02 | 0.978–1.063 | 0.362 | |||
Chromogranin | 1 | 1 | 0.989 | |||
Hepatic tumor burden | 0.98 | 0.955–1.006 | 0.125 | |||
SUVmax LM | 0.979 | 0.951–1.007 | 0.134 | |||
SUVmean LM | 0.982 | 0.94–1.025 | 0.41 | |||
SUVmax Pancreas | 0.983 | 0.956–1.01 | 0.21 | |||
SUVmean Pancreas | 0.975 | 0.93–1.023 | 0.3 | |||
Tmax/Lmean | 0.922 | 0.821–1.037 | 0.175 | |||
Tmean/Lmean | 0.886 | 0.72–1.09 | 0.251 | |||
Tmax/Smean | 0.588 | 0.373–0.927 | 0.626 | 0.365–1.076 | 0.09 | |
Tmean/Smean | 0.474 | 0.223–1.004 | 0.051 | |||
CgA | 1.004 | 1–1.008 | 0.056 | |||
SUVmax LM | 1.002 | 0.99–1.013 | 0.792 | |||
SUVmean LM | 0.998 | 0.986.1.009 | 0.686 | |||
HU LM | 0.999 | 0.975–1.024 | 0.948 | |||
SUVmax Pancreas | 1.002 | 0.996–1.008 | 0.451 | |||
SUVmean Pancreas | 1.002 | 0.995–1.009 | 0.512 | |||
Tmax/Lmean | 1.003 | 0.992–1.013 | 0.623 | |||
Tmean/Lmean | 0.99 | 0.989–1.009 | 0.836 | |||
Tmax/Smean | 1.006 | 0.99–1.013 | 0.079 | |||
Tmean/Smean | 1.006 | 0.998–1.013 | 0.149 | |||
Size LM (mm) | 0.999 | 0.983–1.015 | 0.908 | |||
Size Pancreas | 1.018 | 1.001–1.034 | 1.009 | 0.99–1.009 | 0.37 | |
Size total (RECIST) | 1.014 | 0.993–1.036 | 0.183 |
Patient characteristics
Male | 17 (77%) |
Female | 5 (23%) |
Median age, years (range) | 66 (40–85) |
G1 | 1 (5%) |
G2 | 17 (77%) |
G3 | 4 (18%) |
Median Ki-67 (ng/ml, range) | 12 (2–40) |
Duration of treatment (month, range) | 7.5 (3–20) |
Prior treatment | 16 (73%) |
pNET resected | 6 (27%) |
Prior medical treatment | 9 (41%) |
Prior PRRT | 6 (27%) |
Prior liver targeted therapy | 6 (27%) |