Total Tumor Volume on 18F-PSMA-1007 PET as Additional Imaging Biomarker in mCRPC Patients Undergoing PSMA-Targeted Alpha Therapy with 225Ac-PSMA-I&T
Abstract
:1. Introduction
2. Materials and Methods
2.1. Inclusion Criteria
2.2. 225Ac-PSMA-I&T Radiopharmaceutical and Treatment Protocol
2.3. 18F-PSMA-1007 Radiopharmaceutical and Imaging Protocol
2.4. Blood Values and Pain Score
2.5. Image-Based Therapy Response Assessment
2.5.1. Modified PERCIST on 18F-PSMA-1007 PET
2.5.2. Evaluation of Total Tumor Volume (TTV) on 18F-PSMA-1007 PET
2.5.3. CT (RECIST 1.1)
2.6. Follow-Up
2.7. Statistical Analysis
3. Results
3.1. Patient Characteristics at Baseline Time Point
3.2. Correlation of TTV and Further Pretherapeutic Parameters
3.3. Correlation of TTV and Pretherapeutic Parameters with Clinical Outcome
3.4. Changes of Clinical and Image-Derived Parameters during 225Ac-PSMA-I&T Treatment
3.5. Intercorrelation of Clinical and Imaged Derived Changes after 225Ac-PSMA-I&T Treatment
3.6. Changes of TTV in Comparison to Further Response Criteria
3.7. Occurrence of New Lesions in Correlation to TTV and Further Parameters
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Acknowledgments
Conflicts of Interest
References
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Parameters | Value [Median, Range] |
---|---|
Age [years] | 74.8 (65.8–80.9) |
PSA [ng/mL] | 178.0 (13.4–750.0) |
AP [U/L] | 228.0 (68.0–695.0) (normal range 40.0–130.0) |
LDH [U/L] | 344.0 (150.0–1457.0) (normal range <249.0) |
Pain Score | 5.0 (0.0–8.0) |
TTV [mL] | 835.0 (133.0–1776.0) |
SUVmean | 9.5 (6.6–15.8) |
SUVmax | 42.8 (17.5–175.9) |
Sites of tumor spread | |
Bone | 13/13 (100.0%) |
Lymph node | 8/13 (61.5%) |
Visceral metastases | 4/13 (30.8%) |
Local tumor | 7/13 (53.8%) |
Prior therapies | |
Prostatectomy | 4/13 (30.7%) |
Radiotherapy | 7/13 (53.8%) |
ADT | 13/13 (100.0%) |
Docetaxel | 9/13 (69.2%) |
177Lu-PSMA-RLT | 10/13 (76.9%) |
223Ra-dichlorode | 1/13 (7.7%) |
PSA | AP | TTV | SUVmean | SUVmax | LDH | |
---|---|---|---|---|---|---|
AP | r = 0.509 (p = 0.076) | - | - | - | - | - |
TTV | r = −0.022 (p = 0.943) | r = 0.036 (p = 0.908) | - | - | - | - |
SUVmean | r = −0.324 (p = 0.280) | r = −0.281 (p = 0.353) | r = 0.181 (p = 0.553) | - | - | - |
SUVmax | r = −0.341 (p = 0.255) | r = −0.426 (p = 0.146) | r = 0.143 (p = 0.642) | r = 0.725 (p = 0.005) | - | - |
LDH | r = 0.148 (p = 0.629) | r = 0.536 (p = 0.059) | r = 0.346 (p = 0.247) | r = −0.429 (p = 0.144) | r = −0.319 (p = 0.289) | - |
Pain Score | r = −0.031 (p = 0.920) | r = 0.070 (p = 0.820) | r = 0.020 (p = 0.949) | r = −0.205 (p = 0.503) | r = −0.437 (p = 0.135) | r = 0.014 (p = 0.964) |
Parameters | STS (n = 6) [Median (Range)] | LTS (n = 7) [Median (Range)] | Significance |
---|---|---|---|
PSA [ng/dL] | 224.5 (13.4–750.0) | 124.0 (20.5–707.0) | p = 0.286 |
AP [U/L] | 412.5 (155.0–695.0) | 98.0 (68.0–326.0) | p = 0.029 |
LDH [U/L] | 585.0 (264.0–1457.0) | 274.0 (150.0–616.0) | p = 0.286 |
Pain score | 5.0 (0.0–8.0) | 4.0 (0.0–7.0) | p = 0.559 |
TTV [mL] | 815.0 (566.0–1776.0) | 939.0 (133.0–1574.0) | p = 0.592 |
SUVmean | 9.5 (6.9–15.15) | 9.2 (6.6–15.6) | p = 1.000 |
SUVmax | 36.8 (17.5–113.6) | 55.0 (38.5–175.9) | p = 0.592 |
Parameters | Baseline [Median (Range)] | Follow-up [Median (Range)] | Δ% [Median (Range)] | Significance |
---|---|---|---|---|
PSA [ng/dL] | 178.0 (13.4–750.0) |
68.6 (11.4–414.0) |
−32.8 (−67.3–−14.2) | p = 0.018 |
AP [U/L] | 228.0 (68.0–695.0) |
148.0 (61.0–487.0) |
−20.5 (−30.6–165.3) | p = 0.176 |
LDH [U/L] | 344.0 (150.0–1457.0) |
304.0 (174.0–1124.0) |
−3.5 (−29.6–126.6) | p = 0.866 |
TTV [mL] | 835.0 (133.0–1776.0) |
201.0 (20.3–1300.0) |
−62.3 (−97.8–2.6) | p = 0.028 |
SUVmean | 9.5 (6.6–15.8) | 7.1 (6.3–9.7) | −24.1 (−42.3–−8.1) | p = 0.018 |
SUVmax | 42.8 (17.5–175.9) | 32.6 (16.2–54.3) |
−46.0 (−81.6–74.2) | p = 0.063 |
Δ% PSA | Δ% AP | Δ% TTV | Δ% SUVmean | Δ% SUVmax | |
---|---|---|---|---|---|
Δ% AP | r = 0.071 (p = 0.879) | - | - | - | - |
Δ% TTV | r = 0.107 (p = 0.819) | r = 0.000 (p = 1.000) | - | - | - |
Δ% SUVmean | r = 0.214 (p = 0.645) | r = 0.571 (p = 0.180) | r = −0.250 (p = 0.589) | - | - |
Δ% SUVmax | r = −0.286 (p = 0.535) | r = −0.321 (p = 0.482) | r = −0.250 (p = 0.589) | r = −0.071 (p = 0.879) | - |
Δ% LDH | r = −0.286 (p = 0.535) | r = −0.536 (p = 0.215) | r = 0.107 (p = 0.819) | r = 0.000 (p = 1.000) | r = 0.571 (p = 0.180) |
Patient | Response TTV | Δ% TTV | Response SUVmean | Δ% SUVmean | Response SUVmax | Δ% SUVmax | Response mPERCIST | Δ% mPERCIST | Response RECIST | Δ% RECIST | Response RECIST | Δ% PSA | Δ% LDH | Δ% AP | OS [mo] |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | PR | −39.3% | PR | −37.5% | PR | −54.9% | PR | −36.8% | SD | +2.6% | SD | −14.2% | −3.5% | −30.6% | 10 |
2 | PR | −67.9% | SD | −24.1% | PR | −46.0% | PR | −65.3% | SD | −13.9% | SD | −67.3% | +16.0% | −10.3% | 26 |
3 | SD | +2.6% | SD | −21.6% | PR | −81.6% | PD * | n.e. | Non-CR/Non-PD | n.a. | Non-CR/Non-PD | −32.8% | −11.6% | +165.3% | 18 |
4 | PR | −62.4% | SD | −24.1% | PD | +33.6% | PR | −60.5% | Non-CR/Non-PD | n.a. | Non-CR/Non-PD | −41.4% | −23.8% | +42.9% | 11 ° |
5 | PR | −64.5% | SD | −8.1% | PD | +74.2% | PD * | n.e. | PD | n.e. | PD | −25.2% | +126.6% | +20.5% | 5 |
6 | PR | −97.8% | SD | −23.3% | PR | −62.2% | PR | −66.4% | SD | +8.9% | SD | −20.8% | −29.6% | +55.8% | 11 |
7 | PR | −59.6% | PR | −42.3% | PR | −45.2% | PR | −78.5% | Non-CR/Non-PD | n.a. | Non-CR/Non-PD | −44.4% | +22.0% | −9.2% | 20 |
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Unterrainer, L.M.; Beyer, L.; Zacherl, M.J.; Gildehaus, F.J.; Todica, A.; Kunte, S.C.; Holzgreve, A.; Sheikh, G.T.; Herlemann, A.; Casuscelli, J.; et al. Total Tumor Volume on 18F-PSMA-1007 PET as Additional Imaging Biomarker in mCRPC Patients Undergoing PSMA-Targeted Alpha Therapy with 225Ac-PSMA-I&T. Biomedicines 2022, 10, 946. https://doi.org/10.3390/biomedicines10050946
Unterrainer LM, Beyer L, Zacherl MJ, Gildehaus FJ, Todica A, Kunte SC, Holzgreve A, Sheikh GT, Herlemann A, Casuscelli J, et al. Total Tumor Volume on 18F-PSMA-1007 PET as Additional Imaging Biomarker in mCRPC Patients Undergoing PSMA-Targeted Alpha Therapy with 225Ac-PSMA-I&T. Biomedicines. 2022; 10(5):946. https://doi.org/10.3390/biomedicines10050946
Chicago/Turabian StyleUnterrainer, Lena M., Leonie Beyer, Mathias J. Zacherl, Franz J. Gildehaus, Andrei Todica, Sophie C. Kunte, Adrien Holzgreve, Gabriel T. Sheikh, Annika Herlemann, Jozefina Casuscelli, and et al. 2022. "Total Tumor Volume on 18F-PSMA-1007 PET as Additional Imaging Biomarker in mCRPC Patients Undergoing PSMA-Targeted Alpha Therapy with 225Ac-PSMA-I&T" Biomedicines 10, no. 5: 946. https://doi.org/10.3390/biomedicines10050946
APA StyleUnterrainer, L. M., Beyer, L., Zacherl, M. J., Gildehaus, F. J., Todica, A., Kunte, S. C., Holzgreve, A., Sheikh, G. T., Herlemann, A., Casuscelli, J., Brendel, M., Albert, N. L., Wenter, V., Schmidt-Hegemann, N. -S., Kunz, W. G., Cyran, C. C., Ricke, J., Stief, C. G., Bartenstein, P., ... Unterrainer, M. (2022). Total Tumor Volume on 18F-PSMA-1007 PET as Additional Imaging Biomarker in mCRPC Patients Undergoing PSMA-Targeted Alpha Therapy with 225Ac-PSMA-I&T. Biomedicines, 10(5), 946. https://doi.org/10.3390/biomedicines10050946