Evidence map›Paper›PMID 31806774›Full record

ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2020

Proposal for Systemic-Therapy Response-Assessment Criteria at the Time of PSMA PET/CT Imaging: The PSMA PET Progression Criteria.

Stefano Fanti, Boris Hadaschik, Ken Herrmann

Abstract readEditorial
In one paragraph

Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 3 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

79 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Recommendations from the Galician Oncological Society and the Galician Society of Nuclear Medicine for the use ofClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Guideline
  3. Guideline
  4. Trial
  5. Trial
  6. The Prognostic Value of PosttreatmentJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023
    Trial
  7. Trial
  8. Prospective, Single-Arm Trial Evaluating Changes in Uptake Patterns on Prostate-Specific Membrane Antigen-TargetedJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2021
    Trial
  9. Automated lesion tracking and treatment response classification on [European journal of nuclear medicine and molecular imaging · 2026
    Article
  10. Article
  11. Article
  12. Real-world outcomes of [European journal of nuclear medicine and molecular imaging · 2026
    Article
  13. The predictive role of [European journal of nuclear medicine and molecular imaging · 2026
    Article
  14. Article
  15. PSMA-PET response under [European journal of nuclear medicine and molecular imaging · 2026
    Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Article

19 more citing papers are in PubMed but not listed here.

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

3 authors.

Stefano FantiNuclear Medicine, S. Orsola Hospital, University of Bologna, Bologna, Italy.
Boris HadaschikDepartment of Urology, Essen University Hospital, University of Duisburg-Essen, Essen, Germany.
Ken HerrmannGerman Cancer Consortium, Heidelberg, Germany; and ken.herrmann@uk-essen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In around 20% of men with prostate cancer, metastasis develops during the course of their disease. Accordingly, discovering and developing new potent treatment strategies for patients with metastatic prostate cancer has been a major research focus during the last few decades. Identifying disease progression, especially within clinical trials, is essential in determining drug effectiveness. One major remaining question is how best to define disease progression. The criteria of the Prostate Cancer Clinical Trials Working Group (PCWG2) include clinical and laboratory parameters, as well as conventional imaging modalities such as MRI, CT, and bone scan findings, but advanced molecular imaging techniques, especially prostate-specific membrane antigen (PSMA) PET findings, are not considered. This is a problem because PSMA PET is used not only for detecting biochemical recurrence but also for restaging and as an intermediate-endpoint biomarker in ongoing clinical trials. Therefore, response criteria and PSMA PET progression (PPP) criteria need to be established with some urgency. The intent of this article is therefore to define prostate cancer progression by PSMA PET criteria. Our PPP proposal is based on the same principles as were applied for the PCGW2 criteria but adds value by including PSMA PET criteria. PPP defines PSMA treatment response using 3 different criteria. The first is the appearance of 2 or more new PSMA-positive distant lesions. The second is the appearance of 1 new PSMA-positive lesion plus consistent clinical or laboratory data and recommended confirmation by biopsy or correlative imaging within 3 mo of PSMA PET. The third is an increase in size or PSMA uptake of 1 or more existing lesions by at least 30%, plus consistent clinical or laboratory data or confirmation by biopsy or correlative imaging within 3 mo of PSMA PET.

Indexed as

Disease ProgressionPositron Emission Tomography Computed TomographyAgedAntigens, SurfaceGlutamate Carboxypeptidase IIHumansMaleMiddle AgedNeoplasm MetastasisProstatic NeoplasmsTime FactorsTreatment OutcomeAntigens, SurfaceFOLH1 protein, humanGlutamate Carboxypeptidase II3PPETprogressionprostate cancerPSMA

Identifiers

PMID31806774
PMCPMC7198387

What OpenQuestion holds

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Registered trials

None linked

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.