Evidence map›Paper›PMID 27657729›Full record

ArticlePloS one

Standardized Reporting of Prostate MRI: Comparison of the Prostate Imaging Reporting and Data System (PI-RADS) Version 1 and Version 2.

Susanne Tewes, Nikolaj Mokov, Dagmar Hartung, Volker Schick, Inga Peters, Peter Schedl, Stefanie Pertschy, Frank Wacker, Götz Voshage, Katja Hueper

Open access · goldAbstract read
In one paragraph

Article in PloS one. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
7.2field-weighted citation impact, top 2% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.

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  19. Radio-pathomic Maps of Epithelium and Lumen Density Predict the Location of High-Grade Prostate Cancer.International journal of radiation oncology, biology, physics · 2018
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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 at 2 institutions in 1 country.

Susanne TewesInstitute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.
Nikolaj MokovInstitute for Diagnostic and Interventional Radiology, Klinikum der Region Hannover, Hannover, Gehrden, Germany.
Dagmar HartungInstitute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.
Volker SchickClinic for Urology, Klinikum der Region Hannover, Hannover, Gehrden, Germany.
Inga PetersDepartment of Urology and Urologic Oncology, Hannover Medical School, Hannover, Germany.
Peter SchedlClinic for Urology, Klinikum der Region Hannover, Hannover, Gehrden, Germany.
Stefanie PertschyInstitute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.
Frank WackerInstitute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.
Götz VoshageInstitute for Diagnostic and Interventional Radiology, Klinikum der Region Hannover, Hannover, Gehrden, Germany.
Katja HueperInstitute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.
Medizinische Hochschule Hannover · DEKlinikum Region Hannover · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionObjective of our study was to determine the agreement between version 1 (v1) and v2 of the Prostate Imaging Reporting and Data System (PI-RADS) for evaluation of multiparametric prostate MRI (mpMRI) and to compare their diagnostic accuracy, their inter-observer agreement and practicability. MATERIAL AND

methodsmpMRI including T2-weighted imaging, diffusion-weighted imaging (DWI) and dynamic contrast-enhanced imaging (DCE) of 54 consecutive patients, who subsequently underwent MRI-guided in-bore biopsy were re-analyzed according to PI-RADS v1 and v2 by two independent readers. Diagnostic accuracy for detection of prostate cancer (PCa) was assessed using ROC-curve analysis. Agreement between PI-RADS versions and observers was calculated and the time needed for scoring was determined.

resultsMRI-guided biopsy revealed PCa in 31 patients. Diagnostic accuracy for detection of PCa was equivalent with both PI-RADS versions for reader 1 with sensitivities and specificities of 84%/91% (AUC = 0.91 95%CI[0.8-1]) for PI-RADS v1 and 100%/74% (AUC = 0.92 95% CI[0.8-1]) for PI-RADS v2. Reader 2 achieved similar diagnostic accuracy with sensitivity and specificity of 74%/91% (AUC = 0.88 95%CI[0.8-1]) for PI-RADS v1 and 81%/91% (AUC = 0.91 95%CI[0.8-1]) for PI-RADS v2. Agreement between scores determined with different PI-RADS versions was good (reader 1: κ = 0.62, reader 2: κ = 0.64). Inter-observer agreement was moderate with PI-RADS v2 (κ = 0.56) and fair with v1 (κ = 0.39). The time required for building the PI-RADS score was significantly lower with PI-RADS v2 compared to v1 (24.7±2.3 s vs. 41.9±2.6 s, p<0.001).

conclusionAgreement between PI-RADS versions was high and both versions revealed high diagnostic accuracy for detection of PCa. Due to better inter-observer agreement for malignant lesions and less time demand, the new PI-RADS version could be more practicable for clinical routine.

Identifiers

PMID27657729
PMCPMC5033350
OpenAlexW2521913863

What OpenQuestion holds

Textmetadata
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.