Evidence map›Paper›PMID 25774003›Full record

ArticleWorld journal of urology2015

Targeted MRI/TRUS fusion-guided biopsy in men with previous prostate biopsies using a novel registration software and multiparametric MRI PI-RADS scores: first results.

Susanne Tewes, Katja Hueper, Dagmar Hartung, Florian Imkamp, Thomas R W Herrmann, Juergen Weidemann, Stefan Renckly, Markus A Kuczyk, Frank Wacker, Inga Peters

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in World journal of urology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03615131 (Accuracy of Multi-parametric Prostate MRI and MRI-targeted, Ultrasound-navigated Prostate Fusion Biopsy in the Detection of Prostate Cancer), which is not on this map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
6.0field-weighted citation impact, top 3% 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.

NCT03615131 completednot on this map

Accuracy of Multi-parametric Prostate MRI and MRI-targeted, Ultrasound-navigated Prostate Fusion Biopsy in the Detection of Prostate Cancer:

TypeobservationalSponsorKantonsspital Winterthur KSWRan2015 to 2017Enrolled157ConditionsProstate CancerArmsMRI-TRUS fusion prostate biopsy
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

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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 1 institution in 1 country.

Susanne TewesInstitute for Radiology, Hannover Medical School, Carl-Neuberg Str. 1, 30625, Hannover, Germany. Tewes.Susanne@mh-hannover.de.
Katja HueperInstitute for Radiology, Hannover Medical School, Carl-Neuberg Str. 1, 30625, Hannover, Germany.
Dagmar HartungInstitute for Radiology, Hannover Medical School, Carl-Neuberg Str. 1, 30625, Hannover, Germany.
Florian ImkampDepartment of Urology and Urologic Oncology, Hannover Medical School, Carl-Neuberg Str. 1, 30625, Hannover, Germany.
Thomas R W HerrmannDepartment of Urology and Urologic Oncology, Hannover Medical School, Carl-Neuberg Str. 1, 30625, Hannover, Germany.
Juergen WeidemannInstitute for Radiology, Hannover Medical School, Carl-Neuberg Str. 1, 30625, Hannover, Germany.
Stefan RencklyDepartment of Urology and Urologic Oncology, Hannover Medical School, Carl-Neuberg Str. 1, 30625, Hannover, Germany.
Markus A KuczykDepartment of Urology and Urologic Oncology, Hannover Medical School, Carl-Neuberg Str. 1, 30625, Hannover, Germany.
Frank WackerInstitute for Radiology, Hannover Medical School, Carl-Neuberg Str. 1, 30625, Hannover, Germany.
Inga PetersDepartment of Urology and Urologic Oncology, Hannover Medical School, Carl-Neuberg Str. 1, 30625, Hannover, Germany.
Medizinische Hochschule Hannover · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate a novel system for MRI/TRUS fusion-guided biopsy for detection of prostate cancer (PCa) in patients with previous negative prostate biopsy and determine diagnostic accuracy when using the Prostate Imaging Reporting and Data System (PI-RADS) for multiparametric magnetic resonance imaging (mpMRI) as proposed by the European Society of Urogenital Radiology.

methodsThirty-nine men with clinical suspicion of PCa and history of previous prostate biopsy underwent mpMRI on a 3-T MRI. In total, 72 lesions were evaluated by the consensus of two radiologists. PI-RADS scores for each MRI sequence, the sum of the PI-RADS scores and the global PI-RADS were determined. MRI/TRUS fusion-guided targeted biopsy was performed using the BioJet™ software combined with a transrectal ultrasound system. Image fusion was based on rigid registration. PI-RADS scores of the dominant lesion were compared with histopathological results. Diagnostic accuracy was determined using receiver operating characteristic curve analysis.

resultsMRI/TRUS fusion-guided biopsy was reliable and successful for 71 out of 72 lesions. The global PI-RADS score of the dominant lesion was significantly higher in patients with PCa (4.0 ± 1.3) compared to patients with negative histopathology (2.6 ± 0.8; p = 0.0006). Using a global PI-RADS score cut-off ≥4, a sensitivity of 85 %, a specificity of 82 % and a negative predictive value of 92 % were achieved.

conclusionsThe described fusion system is dependable and efficient for targeted MRI/TRUS fusion-guided biopsy. mpMRI PI-RADS scores combined with a novel real-time MRI/TRUS fusion system facilitate sufficient diagnosis of PCa with high sensitivity and specificity.

Indexed as

SoftwareAgedEndosonographyHumansImage-Guided BiopsyImaging, Three-DimensionalMagnetic Resonance Imaging, InterventionalMaleMiddle AgedProstateProstatic NeoplasmsRectumReproducibility of ResultsROC CurveMRI/TRUS fusion-guided biopsyMultiparametric MRIPI-RADS scoringProstate cancer

Identifiers

PMID25774003
OpenAlexW2094892450

What OpenQuestion holds

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Registered trials

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.