Evidence map›Paper›PMID 35565204›Full record

ArticleCancers2022

An Explorative Study of the Incidental High Renal Excretion of [

Youssra Allach, Amina Banda, Willemijn van Gemert, Michel de Groot, Yvonne Derks, Melline Schilham, Alexander Hoepping, Lars Perk, Martin Gotthardt, Marcel Janssen and 2 more

Abstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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  8. Fully Automated Production of (((Pharmaceuticals (Basel, Switzerland) · 2025
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  9. [Biomarker insights · 2025
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  10. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Youssra AllachDepartment of Radiology and Nuclear Medicine, Radboud University Medical Centre, 6525 GA Nijmegen, The Netherlands.ORCID 0000-0003-4255-811X
Amina BandaDepartment of Radiology and Nuclear Medicine, Radboud University Medical Centre, 6525 GA Nijmegen, The Netherlands.
Willemijn van GemertDepartment of Radiology and Nuclear Medicine, Radboud University Medical Centre, 6525 GA Nijmegen, The Netherlands.
Michel de GrootDepartment of Radiology and Nuclear Medicine, Radboud University Medical Centre, 6525 GA Nijmegen, The Netherlands.
Yvonne DerksDepartment of Radiology and Nuclear Medicine, Radboud University Medical Centre, 6525 GA Nijmegen, The Netherlands.
Melline SchilhamDepartment of Radiology and Nuclear Medicine, Radboud University Medical Centre, 6525 GA Nijmegen, The Netherlands.
Alexander HoeppingDepartment of Medicinal Chemistry, ABX Advanced Biochemical Compounds GmbH, 1454 Radeberg, Germany.
Lars PerkDepartment of Radiology and Nuclear Medicine, Radboud University Medical Centre, 6525 GA Nijmegen, The Netherlands.ORCID 0000-0001-8190-4447
Martin GotthardtDepartment of Radiology and Nuclear Medicine, Radboud University Medical Centre, 6525 GA Nijmegen, The Netherlands.
Marcel JanssenDepartment of Radiology and Nuclear Medicine, Radboud University Medical Centre, 6525 GA Nijmegen, The Netherlands.
James NagarajahDepartment of Radiology and Nuclear Medicine, Radboud University Medical Centre, 6525 GA Nijmegen, The Netherlands.ORCID 0000-0002-3555-0809
Bastiaan M PrivéDepartment of Radiology and Nuclear Medicine, Radboud University Medical Centre, 6525 GA Nijmegen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Positron emission tomography (PET) of prostate-specific membrane antigen (PSMA) allows for accurate diagnosis and staging of prostate cancer (PCa). Compared to other PSMA PET tracers available, [18F]PSMA-1007 is predominantly excreted via the hepatobiliary tract resulting in low renal excretion which improves evaluation of the pelvic area. However, some patients do show high urinary uptake of [18F]PSMA-1007. The present study aimed to investigate this sudden high urinary uptake of [18F]PSMA-1007 by evaluating [18F]PSMA-1007 PET scans from PCa patients. In this single-center retrospective study, patients that underwent [18F]PSMA-1007 PET imaging between July 2018 and January 2021 were included. Data regarding the individual patient characteristics, scan acquisition and batch production were analyzed. To determine the urinary excretion of [18F]PSMA-1007, a region of interest was drawn in the bladder, and standardized uptake values (SUVs) were calculated and compared to SUVs in the prostate. An SUVmax of >10 was considered high urinary excretion, an SUVmax 7.5−10 intermediate and an SUVmax < 7.5 low urinary excretion. A total of 344 patients underwent [18F]PSMA-1007 PET/CT imaging, with 37 patients receiving three or more [18F]PSMA-1007 PET/CT scans. The mean SUVmean and SUVmax of the bladder were 3.9 (SD 2.9) and 5.9 (SD 4.2), respectively. Fourteen percent of patients showed high urinary uptake of [18F]PSMA-1007. Twelve of the thirty-seven patients (32.4%) that had multiple scans showed a varying urinary uptake of [18F]PSMA-1007 per PSMA PET/CT scan. In terms of patient characteristics, risk factors, medication and blood laboratory results, no significant influencing variables were found. Nor was there a difference observed in the batch size and the mean radiochemical purity of PSMA-1007 for high- and low-excreting patients. However, the bladder volume affected the mean SUVmax in the bladder significantly, with higher SUVs in lower bladder volumes. In this study, we observed that a higher SUV in the urinary tract seemed to occur in patients with low bladder volume. A prospective study is needed to corroborate this hypothesis.

Indexed as

[18F]PSMA-1007PETprostate cancerurinary uptakeurological oncology

Identifiers

PMID35565204
PMCPMC9100267

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.