The tumour sink effect on 68Ga-PSMA-PET/CT in metastatic castration-resistant prostate cancer and its implications for PSMA-RPT: a sub-analysis of the 3TMPO study
Bibliographic record
Abstract
Abstract Background The tumour sink effect is a phenomenon whereby the sequestration of a radiopharmaceutical in cancer lesions leads to decreased activity concentration in the blood stream and organs. The aim of this sub-analysis of the prospective 3TMPO study (NCT04000776) was to investigate the tumour sink effect on prostate-specific membrane antigen (PSMA) PET imaging in a population of patients with metastatic castration-resistant prostate cancer (mCRPC). Methods Ninety-seven participants underwent 68Ga-PSMA-617 PET/CT imaging. The activity concentration in the kidney, parotid, spleen, liver and blood was expressed as a percentage of injected activity per cubic centimetre (%IA/cm3). The total tumour volume was delineated, and the total lesion fraction (TLF), i.e., the percentage of injected activity sequestered in the tumour, was computed. Participants were stratified into three tumour burden groups: small (TLF < 10%), moderate (10% ≤ TLF < 25%), and large (TLF ≥ 25%). Weight, lean body weight, body surface area, and estimated glomerular filtration rate (eGFR) were investigated as additional factors affecting biodistribution. Results The TLF ranged from 0.0 to 43.5%. For all healthy tissues, the %IA/cm3 was negatively correlated with TLF (r ranging − 0.33 to − 0.46; P < 0.001). Patients with a large TLF had significantly lower uptake in all organs when compared to those with a small TLF (P < 0.05). Body habitus indices and/or eGFR were negatively correlated with the %IA/cm3 of the parotid, liver and blood (r ranging − 0.23 to − 0.33; P < 0.05). Combining predictive variables, the term [BSA / (1–TLF)] tended to yield the strongest negative correlations with healthy tissues %IA/cm3 (r ranging − 0.33 to − 0.63; P < 0.001). Conclusion The tumour sink effect was observed in a cohort of mCRPC patients scanned with 68Ga-PSMA-617. This finding strongly suggests that patients with a large TLF are likely to receive lower absorbed doses to organs at risk – i.e., be undertreated from a dosimetry perspective – following a fixed-activity regime of 177Lu-PSMA-617 radiopharmaceutical therapy, as commonly practiced. Individual factors such as body habitus and renal function further impact the biodistribution of PSMA radiopharmaceuticals. Trial registration NCT04000776, registered on 2019-06-27.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".