Evidence map›Paper›PMID 33457225›Full record

ArticleTranslational andrology and urology2020

Systematic sampling during MRI-US fusion prostate biopsy can overcome errors of targeting-prospective single center experience after 300 cases in first biopsy setting.

Emanuel Cata, Iulia Andras, Matteo Ferro, Pierre Kadula, Daniel Leucuta, Gennaro Musi, Deliu-Victor Matei, Ottavio De Cobelli, Attila Tamas-Szora, Cosmin Caraiani and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Translational andrology and urology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 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

15 authors at 3 institutions in 2 countries.

Emanuel CataUrology Department, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj Napoca, Romania.
Iulia AndrasUrology Department, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj Napoca, Romania.
Matteo FerroDepartment of Urology, IEO European Institute of Oncology, IRCCS, Milan, Italy.
Pierre KadulaUrology Department, Municipal Hospital, Cluj Napoca, Romania.
Daniel LeucutaMedical Informatics and Biostatistics Department, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj Napoca, Romania.
Gennaro MusiDepartment of Urology, IEO European Institute of Oncology, IRCCS, Milan, Italy.
Deliu-Victor MateiDepartment of Urology, IEO European Institute of Oncology, IRCCS, Milan, Italy.
Ottavio De CobelliDepartment of Urology, IEO European Institute of Oncology, IRCCS, Milan, Italy.
Attila Tamas-SzoraRadiology Department, Municipal Hospital, Cluj Napoca, Romania.
Cosmin CaraianiMedical Imaging Department, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj Napoca, Romania.
Andrei LeboviciRadiology Department, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj Napoca, Romania.
Flavia EpureMedical Imaging Department, Medisprof Cancer Center, Cluj Napoca, Romania.
Maria BungardeanPathology Department, County Emergency Hospital, Cluj Napoca, Romania.
Radu-Tudor ComanEpidemiology Department, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj Napoca, Romania.
Nicolae CrisanUrology Department, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj Napoca, Romania.
Iuliu Hațieganu University of Medicine and Pharmacy · ROEuropean Institute of Oncology · ITIstituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiparametric magnetic resonance imaging (mpMRI) and targeted biopsy have become an integral part of the diagnosis of prostate cancer (PCa), as recommended by the European Association of Urology Guidelines. The aim of the current study was to evaluate the performance of MRI and MRI-transrectal ultrasound (TRUS) fusion prostate biopsy as first biopsy setting in a tertiary center.

methodsA cohort of 300 patients was included in the current analysis. All patients presented with clinical or biochemical suspicion of PCa and harbored at least one suspect lesion on mpMRI. MRI-TRUS fusion prostate biopsy, followed by 12 core systematic prostate biopsy were performed by the same operator using a rigid registration system.

resultsThe mean age of the patients was 64 years (IQR: 58-68.5 years) and the mean PSA was 6.35 ng/mL (IQR: 4.84-9.46 ng/mL). Overall cancer and csPCa diagnosis rates were 47% and 40.66%. Overall PCa/csPCa detection rates were 20.4%/11.1%, 52%/45% and 68.5%/66.7% for PI-RADS lesions 3, 4 and 5 (P<0.001/P<0.0001). Larger lesion diameter and lesion volume were associated with PCa diagnosis (P=0.006 and P=0.001, respectively). MRI-TRUS fusion biopsy missed PCa diagnosis in 37 cases (of whom 48.6% ISUP 1) in comparison with 9 patients missed by systematic biopsy (of whom 11.1% ISUP 1). In terms of csPCa, systematic biopsy missed 77.7% of the tumors located in the anterior and transitional areas. The rate of csPCa was highest when targeted biopsy was associated with systematic biopsy: 86.52%

conclusionsMRI-TRUS fusion prostate biopsy improves the diagnosis of csPCa. The main advantage of an MRI-guided approach is the diagnosis of anterior and transitional area tumors. The best results in terms of csPCa diagnosis are obtained by the combination of MRI-TRUS fusion with systematic biopsy. The systematic biopsy performed during MRI-targeted biopsy could have an important role in overcoming errors of MRI-TRUS fusion systems.

Indexed as

MRI-TRUS fusion prostate biopsyMultiparametric magnetic resonance imaging (mpMRI)prostate cancer diagnosissystematic biopsy

Identifiers

PMID33457225
PMCPMC7807351
OpenAlexW3101588035

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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.