Evidence map›Paper›PMID 40839083›Full record

ArticleUrologie (Heidelberg, Germany)2026

[Atypical contrast enhancement in mucinous prostate cancer : Limitations of the PI-RADS (Prostate Imaging Reporting and Data System) classification and implications for modern imaging].

Julio Ruben Rodas Garzaro, Anton Kravchuk, Johannes Moersler, Stephan Siepmann, Elisabeth Stemplinger, Fabian Eder, Matthias May, Christian Gilfrich

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In one paragraph

Article in Urologie (Heidelberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Julio Ruben Rodas GarzaroKlinik für Urologie, St. Elisabeth Klinikum Straubing, St.-Elisabeth-Str. 23, Straubing, Deutschland.
Anton KravchukKlinik für Urologie, St. Elisabeth Klinikum Straubing, St.-Elisabeth-Str. 23, Straubing, Deutschland.
Johannes MoerslerKlinik für Diagnostische und Interventionelle Radiologie, St. Elisabeth Klinikum Straubing, Straubing, Deutschland.
Stephan SiepmannKlinik für Urologie, St. Elisabeth Klinikum Straubing, St.-Elisabeth-Str. 23, Straubing, Deutschland.
Elisabeth StemplingerInstitut für Pathologie, Molekularpathologie und Zytologie, Deggendorf, Deutschland.
Fabian EderInstitut für Pathologie, Molekularpathologie und Zytologie, Deggendorf, Deutschland.
Matthias MayKlinik für Urologie, St. Elisabeth Klinikum Straubing, St.-Elisabeth-Str. 23, Straubing, Deutschland. matthias.may@klinikum-straubing.de.
Christian GilfrichKlinik für Urologie, St. Elisabeth Klinikum Straubing, St.-Elisabeth-Str. 23, Straubing, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mucinous prostate carcinoma (mucPCa) often evades detection by prostate-imaging reporting and data system (PI-RADS)-based multiparametric magnetic resonance imaging (MRI). We report a case in which atypical dynamic contrast kinetics served as the sole imaging clue leading to the diagnosis of aggressive mucPCa. Neither T2-weighted nor diffusion-weighted sequences suggested malignancy. Only a targeted MRI/ultrasonography (US) fusion biopsy confirmed an International Society of Urological Pathology (ISUP) grade 4 mucPCa. This case underscores the diagnostic limitations of standardized imaging protocols and highlights the critical importance of contrast enhancement in rare histological subtypes.

Indexed as

Adenocarcinoma, MucinousMagnetic Resonance ImagingProstatic NeoplasmsRadiology Information SystemsAgedContrast MediaHumansMaleProstateContrast MediaAtypical tumor progressionDiagnostic imaging pitfallsIndication for prostate biopsyMultiparametric MRIPSMA-avid lymph node metastasis

Identifiers

PMID40839083

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.