Evidence map›Paper›PMID 30327584›Full record

Trial reportContrast media & molecular imaging2018

Dynamic Contrast-Enhanced Imaging as a Prognostic Tool in Early Diagnosis of Prostate Cancer: Correlation with PSA and Clinical Stage.

Xingchen Wu, Petri Reinikainen, Mika Kapanen, Tuula Vierikko, Pertti Ryymin, Pirkko-Liisa Kellokumpu-Lehtinen

Abstract readClinical Trial
In one paragraph

Trial report in Contrast media & molecular imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

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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

6 authors.

Xingchen WuDepartment of Oncology, Tampere University Hospital, Tampere, Finland.ORCID 0000-0002-6226-6141
Petri ReinikainenDepartment of Oncology, Tampere University Hospital, Tampere, Finland.
Mika KapanenDepartment of Oncology, Tampere University Hospital, Tampere, Finland.
Tuula VierikkoDepartment of Radiology, Medical Imaging Centre, Tampere University Hospital, Tampere, Finland.
Pertti RyyminDepartment of Radiology, Medical Imaging Centre, Tampere University Hospital, Tampere, Finland.
Pirkko-Liisa Kellokumpu-LehtinenDepartment of Oncology, Tampere University Hospital, Tampere, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Purpose: Although several methods have been developed to predict the outcome of patients with prostate cancer, early diagnosis of individual patient remains challenging. The aim of the present study was to correlate tumor perfusion parameters derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and clinical prognostic factors and further to explore the diagnostic value of DCE-MRI parameters in early stage prostate cancer. Patients and Methods: Sixty-two newly diagnosed patients with histologically proven prostate adenocarcinoma were enrolled in our prospective study. Transrectal ultrasound-guided biopsy (12 cores, 6 on each lobe) was performed in each patient. Pathology was reviewed and graded according to the Gleason system. DCE-MRI was performed and analyzed using a two-compartmental model; quantitative parameters including volume transfer constant ( Results: Conclusions: Our study has confirmed that DCE-MRI is a promising biomarker that reflects the microcirculation of prostate cancer. DCE-MRI in combination with clinical prognostic factors may provide an effective new tool for the basis of early diagnosis and treatment decisions.

Indexed as

Early Detection of CancerAgedContrast MediaHumansMagnetic Resonance ImagingMaleMiddle AgedMolecular ImagingNeoplasm StagingProstate-Specific AntigenProstatic NeoplasmsContrast MediaProstate-Specific Antigen

Identifiers

PMID30327584
PMCPMC6169212

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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.