Evidence map›Paper›PMID 35475134›Full record

ArticleBJUI compass2021

The diagnostic accuracy of multiparametric MRI for detection and localization of prostate cancer depends on the affected region.

Martina Martins, Stefano Regusci, Stephane Rohner, Ildiko Szalay-Quinodoz, Georges-Antoine De Boccard, Louise Strom, Gerjon Hannink, Sonia Ramos-Pascual, Charles Henry Rochat

Open access · goldAbstract read
In one paragraph

Article in BJUI compass, 2021. 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
0.4field-weighted citation impact, top 32% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
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  4. Diagnostic value of [Frontiers in oncology · 2025
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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

9 authors at 4 institutions in 2 countries.

Martina MartinsSwiss International Prostate Center Geneva Switzerland.
Stefano RegusciSwiss International Prostate Center Geneva Switzerland.
Stephane RohnerSwiss International Prostate Center Geneva Switzerland.
Ildiko Szalay-QuinodozSwiss International Prostate Center Geneva Switzerland.
Georges-Antoine De BoccardSwiss International Prostate Center Geneva Switzerland.
Louise StromReSurg SA Nyon Switzerland.ORCID https://orcid.org/0000-0001-7069-9222
Gerjon HanninkRadboud University Medical Center Nijmegen Netherlands.
Sonia Ramos-PascualReSurg SA Nyon Switzerland.ORCID https://orcid.org/0000-0002-0409-613X
Charles Henry RochatSwiss International Prostate Center Geneva Switzerland.
Générale-Beaulieu Clinic · CHFederal Roads Office · CHImageRive (Switzerland) · CHRadboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To determine the diagnostic accuracy of 3T multiparametric magnetic resonance imaging (mpMRI) for detecting and locating prostate cancer (PCa) on Dickinson's 27-sector map, using histopathology specimens from radical prostatectomy (RP) as the reference standard. Patients and methods: The authors studied a continuous series of 140 patients who underwent RP over three consecutive years. Prior to RP, all patients had mpMRI for detection and localization of PCa and further assessment by biopsy. To minimize the potential of disease progression, 25 patients were excluded because the interval between mpMRI and RP exceeded 6 months, which left 115 patients eligible for analysis. The mpMRI findings were reported using the Prostate Imaging-Reporting and Data System (PI-RADS) v2, considering PI-RADS ≥ 3 to indicate PCa. The histopathology findings from RP specimens were graded using the Gleason scoring system, considering Gleason ≥ 6 to indicate PCa. The location of the tumors was mapped on Dickinson's 27-sector map for both mpMRI and histopathology and compared by rigid sector-by-sector matching. Results: The cohort of 115 patients eligible for analysis was aged 66.5 ± 6.0 years at RP. Of the 3105 sectors analyzed, there were 412 true positives (13%), 28 false positives (1%), 68 false negatives (2%), and 2597 true negatives (84%). Across the 27 sectors of the prostate, mpMRI sensitivity ranged from 50% to 100% and specificity from 96% to 100%, while PPV ranged from 50% to 100%, and NPV from 91% to 100%. For the anterior prostate, mpMRI had a sensitivity of 80% (CI, 71%-86%), specificity of 99% (CI, 99%-100%), PPV of 91% (CI, 83%-95%), and NPV of 99% (CI, 98%-99%). For the posterior prostate, mpMRI had a sensitivity of 88% (CI, 84%-91%), specificity of 98% (CI, 97%-99%), PPV of 94% (CI, 92%-96%), and NPV of 96% (CI, 94%-97%). Overall, mpMRI had a sensitivity of 86%, specificity of 99%, PPV of 94%, and NPV of 97%. Conclusions: The accuracy of mpMRI in detecting and locating prostate tumors depends on the affected region, but its high NPV across all sectors suggests that negative findings may not need corroboration by other techniques.

Indexed as

diagnostic accuracylocalizationmagnetic resonance imagingmpMRIPI‐RADSprostate cancerradical prostatectomy

Identifiers

PMID35475134
PMCPMC8988780
OpenAlexW3106981270

What OpenQuestion holds

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LicenceCC BY
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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.