Evidence map›Paper›PMID 30569186›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2019

Response assessment using

Bernhard Grubmüller, Daniela Senn, Gero Kramer, Pascal Baltzer, David D'Andrea, Karl Hermann Grubmüller, Markus Mitterhauser, Harald Eidherr, Alexander R Haug, Wolfgang Wadsak and 4 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 5 pooled it
11.9field-weighted citation impact, top 1% of its field
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

75 citing papers in PubMed, 5 syntheses or guidelines pooled it, 149 citations in OpenAlex.

  1. Pooled it
  2. Joint EANM/SNMMI procedure guideline for the use ofEuropean journal of nuclear medicine and molecular imaging · 2023
    Guideline
  3. The Prostate · 2022
    Pooled it
  4. Pooled it
  5. Pooled it
  6. The Prognostic Value of PosttreatmentJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023
    Trial
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  8. Article
  9. The Prognostic Value ofAnnals of nuclear medicine · 2026
    Article
  10. La-[Dalton transactions (Cambridge, England : 2003) · 2026
    Article
  11. Article
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  13. FDG/PSMA discordance in [Frontiers in oncology · 2026
    Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Automatic Skeleton Segmentation in CT Images Based on U-Net.Journal of imaging informatics in medicine · 2024
    Article
  19. Article
  20. Article

15 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

14 authors at 6 institutions in 2 countries.

Bernhard GrubmüllerDepartment of Urology, Medical University of Vienna, Vienna, Austria.
Daniela SennDepartment of Biomedical Imaging and Image Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
Gero KramerDepartment of Urology, Medical University of Vienna, Vienna, Austria.
Pascal BaltzerWorking Group of Diagnostic Imaging in Urology, Austrian Society of Urology, Vienna, Austria.
David D'AndreaDepartment of Urology, Medical University of Vienna, Vienna, Austria.
Karl Hermann GrubmüllerDepartment of Urology and Andrology, University Hospital Krems, Karl Landsteiner University of Health Sciences, Krems, Austria.
Markus MitterhauserDepartment of Biomedical Imaging and Image Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
Harald EidherrDepartment of Biomedical Imaging and Image Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
Alexander R HaugDepartment of Biomedical Imaging and Image Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
Wolfgang WadsakDepartment of Biomedical Imaging and Image Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
Sarah PfaffDepartment of Biomedical Imaging and Image Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
Shahrokh F ShariatDepartment of Urology, Medical University of Vienna, Vienna, Austria.
Marcus HackerDepartment of Biomedical Imaging and Image Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
Markus HartenbachWorking Group of Diagnostic Imaging in Urology, Austrian Society of Urology, Vienna, Austria. markus.hartenbach@meduniwien.ac.at.ORCID http://orcid.org/0000-0001-8234-0460
Medical University of Vienna · ATAustrian Society of Cardiology · ATCenter For Biomarker Research In Medicine · ATCornell University · USKarl Landsteiner University of Health Sciences · ATLudwig Boltzmann Institute Applied Diagnostics · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe first aim of this study was to evaluate

methodsWe retrospectively assessed mean standardized uptake values (SUVmean) and total tumor volumes (TTV) on PSMA PET in 38 of 55 mCRPC patients before and after RLT. PSA testing and PSMA PET/CT(MRI) imaging were performed during the 8 weeks before and the 6 weeks after RLT. PSMA PET and CT(MRI) images were reviewed separately according to the modified PET Response Criteria in Solid Tumors (mPERCIST) and RECIST1.1. The results were compared with PSA responses. Associations between OS and the RECIST evaluation and changes in SUVmean, TTV, and PSA, CRP, LDH, hemoglobin and ALP levels were determined in a univariable survival analysis.

resultsThe median PSA level at the time of pretherapy PSMA PET/CT(MRI) was 60.8 ng/ml (IQR 15.4, 264.2 ng/ml). After RLT the median PSA level decreased by 44%, TTV by 45.1%, SUVmean by 25.8% and RECIST by 11.3%. A PSA response was seen in 18 patients (47.4%), stable disease in 12 (31.6%) and progressive disease in 8 (21.1%). Contrary to the changes in SUVmean and the RECIST evaluation, the change in TTV was significantly associated with PSA response (p = 0.15, p = 0.58, and p < 0.001, respectively). After a median follow-up of 17 months (IQR 8.0, 24.2 months), 11 patients (28.9%) had died of their prostate cancer. The changes in both TTV and PSA levels were associated with OS (HR 1.001, 95% CI 1-1.003, p = 0.04, and HR 1.004, 95% CI 1.001-1.008, p = 0.01, respectively), while the changes in SUVmean and the RECIST evaluation were not. The pre-therapy CRP level was also associated with OS (HR 1.07, 95% CI 1.009-1.14, p = 0.02).

conclusionTTV on PSMA PET seems to be a reliable parameter for response assessment in mCRPC patients undergoing RLT and might overcome the limitations of RECIST in prostate cancer. Furthermore, the change in TTV was significantly associated with OS in our cohort.

Indexed as

Membrane GlycoproteinsOrganometallic CompoundsPositron Emission Tomography Computed TomographyAgedDipeptidesFollow-Up StudiesGallium IsotopesGallium RadioisotopesHeterocyclic Compounds, 1-RingHumansLigandsLutetiumMaleNeoplasm MetastasisProstate-Specific AntigenProstatic Neoplasms, Castration-ResistantDipeptidesgallium 68 PSMA-11Gallium IsotopesGallium RadioisotopesHeterocyclic Compounds, 1-RingLigandsLutetiumMembrane GlycoproteinsOrganometallic CompoundsPluvictoProstate-Specific AntigenHybrid imagingMetastatic prostate cancerPET/CTPET/MRIPSMA ligand

Identifiers

PMID30569186
PMCPMC6451716
OpenAlexW2904413085

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.