Evidence map›Paper›PMID 39862284›Full record

ArticleAbdominal radiology (New York)2025

Usefulness of urinary biomarker-based risk score and multiparametric MRI for clinically significant prostate cancer detection in biopsy-naïve patients.

Jurate Kemesiene, Carlos Nicolau, Gytis Cholstauskas, Kristina Zviniene, Mantvydas Lopeta, Simona Veneviciute, Ieva Asmenaviciute, Kamile Tamosauskaite, Ingrida Pikuniene, Mindaugas Jievaltas

Abstract read
In one paragraph

Article in Abdominal radiology (New York), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

10 authors.

Jurate KemesieneDepartment of Radiology, Medical Academy, Lithuanian University of Health Sciences, Mickeviciaus str. 9, Kaunas, 44307, Lithuania. jurate.kemesiene@lsmu.lt.
Carlos NicolauDepartment of Radiology, Hospital Clínic, University of Barcelona, Barcelona, 08036, Spain.
Gytis CholstauskasDepartmet of Urology, Medical Academy, Lithuanian University of Health Sciences, Mickeviciaus str. 9, Kaunas, 44307, Lithuania.
Kristina ZvinieneDepartment of Radiology, Medical Academy, Lithuanian University of Health Sciences, Mickeviciaus str. 9, Kaunas, 44307, Lithuania.
Mantvydas LopetaJSC Diagnolita, Sauletekio aleja 7c, Vilnius, 10257, Lithuania.
Simona VeneviciuteJSC Diagnolita, Sauletekio aleja 7c, Vilnius, 10257, Lithuania.
Ieva AsmenaviciuteJSC Diagnolita, Sauletekio aleja 7c, Vilnius, 10257, Lithuania.
Kamile TamosauskaiteJSC Diagnolita, Sauletekio aleja 7c, Vilnius, 10257, Lithuania.
Ingrida PikunieneDepartmet of Urology, Medical Academy, Lithuanian University of Health Sciences, Mickeviciaus str. 9, Kaunas, 44307, Lithuania.
Mindaugas JievaltasDepartmet of Urology, Medical Academy, Lithuanian University of Health Sciences, Mickeviciaus str. 9, Kaunas, 44307, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to investigate the accuracy of multiparametric magnetic resonance imaging (mpMRI), genetic urinary test (GUT), and prostate cancer prevention trial risk calculator version 2.0 (PCPTRC2) for the clinically significant prostate cancer (csPCa) diagnostic in biopsy-naïve patients. MATERIALS AND

methodsIn a single center study between 2021 and 2024 participants underwent prostate mpMRI, GUT, and ultrasound (US) guided biopsy. The csPCa risk was calculated using PCPTRC2. After conducting a digital rectal examination (DRE), a GUT was performed. It incorporated the RNA levels of prostate cancer antigen 3 (PCA3) and transmembrane serine protease 2 (TMPRSS2) gene and ETS-related gene (ERG) fusion genes (T: E), along with the patient's age and PSA density. The McNemar test compared detection rates between modalities.

results208 (mean age 62.9 years +/- 8.2) men were included prospectively. A positive GUT score was found in 67.8% and PIRADS ≥3 in 81.7% of all cases. The combination of GUT with mpMRI showed significantly higher sensitivity (99.1%) than GUT and mpMRI alone, 84.4% and 93.8%, respectively (p ≤ 0.05). Similarly, very high sensitivity (99.0%) was achieved by combining mpMRI with PCPTCR2. Nevertheless, mpMRI plus GUT combination exceeded mpMRI plus PCPTCR2 by allowing to save a higher fraction of unnecessary biopsies, 25% and 2.4%, respectively.

conclusionGUT and mpMRI combination would allow saving a substantial fraction of unnecessary biopsies with minimal risk of missing csPCa cases.

Indexed as

Biomarkers, TumorMultiparametric Magnetic Resonance ImagingProstatic NeoplasmsAgedHumansImage-Guided BiopsyMaleMiddle AgedProspective StudiesRisk AssessmentSensitivity and SpecificityBiomarkers, TumorBiomarkerBiopsy-naïveCancerMRIProstateRisk calculator

Identifiers

PMID39862284
PMCPMC12267376

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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.