Evidence map›Paper›PMID 35426518›Full record

ArticleInsights into imaging2022

Quantitative imaging parameters to predict the local staging of prostate cancer in intermediate- to high-risk patients.

Riccardo Laudicella, Stephan Skawran, Daniela A Ferraro, Urs J Mühlematter, Alexander Maurer, Hannes Grünig, Hendrik J Rüschoff, Niels Rupp, Olivio Donati, Daniel Eberli and 1 more

Open access · goldAbstract read
In one paragraph

Article in Insights into imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 18 citations in OpenAlex.

  1. Predictive imaging biomarkers on whole-body diffusion-weighted MRI (WB-DWMRI) and [Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Article
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  5. Clinical value of [Theranostics · 2025
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  12. The Added Value of [Life (Basel, Switzerland) · 2022
    Article
  13. The Role of [Biomedicines · 2022
    Article
  14. 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

11 authors at 2 institutions in 3 countries.

Riccardo LaudicellaDepartment of Nuclear Medicine, University Hospital Zurich, University of Zurich, Rämistrasse 10, 8091, Zürich, Switzerland.ORCID http://orcid.org/0000-0002-2842-0301
Stephan SkawranDepartment of Nuclear Medicine, University Hospital Zurich, University of Zurich, Rämistrasse 10, 8091, Zürich, Switzerland.
Daniela A FerraroDepartment of Nuclear Medicine, University Hospital Zurich, University of Zurich, Rämistrasse 10, 8091, Zürich, Switzerland.ORCID http://orcid.org/0000-0001-5707-3161
Urs J MühlematterDepartment of Nuclear Medicine, University Hospital Zurich, University of Zurich, Rämistrasse 10, 8091, Zürich, Switzerland.
Alexander MaurerDepartment of Nuclear Medicine, University Hospital Zurich, University of Zurich, Rämistrasse 10, 8091, Zürich, Switzerland.ORCID http://orcid.org/0000-0002-6964-802X
Hannes GrünigDepartment of Nuclear Medicine, University Hospital Zurich, University of Zurich, Rämistrasse 10, 8091, Zürich, Switzerland.ORCID http://orcid.org/0000-0002-1188-3043
Hendrik J RüschoffDepartment of Pathology, University Hospital Zürich, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-1936-6606
Niels RuppDepartment of Pathology, University Hospital Zürich, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-7043-3456
Olivio DonatiInterventional and Diagnostic Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Daniel EberliDepartment of Urology, University Hospital Zürich, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0001-8866-8010
Irene A BurgerDepartment of Nuclear Medicine, University Hospital Zurich, University of Zurich, Rämistrasse 10, 8091, Zürich, Switzerland. Irene.Burger@usz.ch.ORCID http://orcid.org/0000-0001-8029-8692
University of Zurich · CHUniversity of Messina · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPSMA PET/MRI showed the potential to increase the sensitivity for extraprostatic disease (EPD) assessment over mpMRI; however, the interreader variability for EPD is still high. Therefore, we aimed to assess whether quantitative PSMA and mpMRI imaging parameters could yield a more robust EPD prediction.

methodsWe retrospectively evaluated PCa patients who underwent staging mpMRI and [

resultsSeventy-three patients were included (64.5 ± 6.0 years; PSA 14.4 ± 17.1 ng/ml), and 31 had EPD (42.5%). From mpMRI, only LCC reached significance (p = 0.005), while both volume-based PET parameters PSMA

conclusionsQuantitative PSMA parameters have a similar potential as mpMRI LCC to predict EPD of PCa, with a significantly higher interreader agreement.

Indexed as

Extracapsular extensionPredictionPSMA PET (MRI) Prostate cancerSeminal vesicle infiltration

Identifiers

PMID35426518
PMCPMC9012878
OpenAlexW4223898690

What OpenQuestion holds

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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.