Evidence map›Paper›PMID 29753548›Full record

ArticleUrologic oncology2018

Fusion prostate biopsy outperforms 12-core systematic prostate biopsy in patients with prior negative systematic biopsy: A multi-institutional analysis.

Abhinav Sidana, Matthew J Watson, Arvin K George, Ardeshir R Rastinehad, Srinivas Vourganti, Soroush Rais-Bahrami, Akhil Muthigi, Mahir Maruf, Jennifer B Gordetsky, Jeffrey W Nix and 5 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Urologic oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 33 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 6 institutions in 1 country.

Abhinav SidanaUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD; Division of Urology, University of Cincinnati College of Medicine, Cincinnati, OH. Electronic address: Abhinav.sidana@uc.edu.
Matthew J WatsonUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD; Department of Urology, University of Tennessee College of Medicine Chattanooga, Chattanooga, TN.
Arvin K GeorgeDepartment of Urology, University of Michigan, Ann Arbor, MI.
Ardeshir R RastinehadDepartment of Urology, Mount Sinai Hospital, New York, NY.
Srinivas VourgantiDepartment of Urology, State University of New York (SUNY) Upstate Medical University, Syracuse, NY; Department of Urology, Rush University Medical Center, Chicago, IL.
Soroush Rais-BahramiDepartment of Urology, University of Alabama at Birmingham, Birmingham, AL.
Akhil MuthigiUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD; Department of Urology, Georgetown University Hospital, Washington, DC.
Mahir MarufUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Jennifer B GordetskyDepartment of Urology, University of Alabama at Birmingham, Birmingham, AL.
Jeffrey W NixDepartment of Urology, University of Alabama at Birmingham, Birmingham, AL.
Maria J MerinoCenter for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Baris TurkbeyMolecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Peter L ChoykeMolecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Bradford J WoodCenter for Interventional Oncology, National Cancer Institute & Clinical Center, National Institutes of Health, Bethesda, MD.
Peter A PintoUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD.
National Institutes of Health · USUniversity of Alabama at Birmingham · USMount Sinai Hospital · USNational Cancer Institute · USRush University Medical Center · USUniversity of Michigan · US

Funding

Prostate Cancer ImagingZIABC010655 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CHOYKE, PETER L · 2009 to 2025
$49.2M
Center for Interventional OncologyZIDBC011242 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WOOD, BRADFORD J · 2009 to 2025
$18.7M
Prostate Cancer ImagingZ01BC010655 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CHOYKE, PETER L · 2005 to 2008
$2.1M
Prostate SectionZ01BC011081 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI PINTO, PETER · 2008 to 2008
$99k
Interventional OncologyZIACL040015 · CLC · CLINICAL CENTER · PI WOOD, BRADFORD · 2009 to 2025
$0k
Intramural NIH HHS Z01 BC010655Intramural NIH HHS Z01 BC011081Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

INTRODUCTION AND

objectivesPatients with persistently elevated prostate specific antigen (PSA) and prior negative 12-core TRUS prostate biopsy (or biopsies) (systematic biopsy-SBx) are a diagnostic challenge. Repeat SBx or saturation biopsy in this cohort has been shown to have an even lower yield. The aim of our study is to compare the prostate cancer yield of magnetic resonance imaging (MRI) fusion biopsy (FBx) to SBx in a multi-institutional cohort comprised of patients with prior negative biopsies.

methodsA multi-institutional review was performed on patients with a history of one or more prior negative SBx who underwent multiparametric MRI (mpMRI), followed by FBx and SBx in the same session. Imaging protocol was standardized across institutions and institutional genitourinary radiologists and pathologists reviewed mpMRI and pathology, respectively. Gleason score (GS) distribution and risk classifications were recorded. Prostate cancer with GS ≥3 + 4 was defined as clinically significant (CS). Univariate and multivariable logistic regression was done to identify predictors of cancer detection on SBx and FBx.

resultsSeven-hundred seventy-nine patients from four institutions were included in the study. Median age and prostate specific antigen (IQR) were 63.1 (58.5-68.0) years and 8.5 (5.9-13.1)ng/dl, respectively. Median number of prior negative biopsies (range) was 2.0 (1-16). The cancer detection rate (CDR) in the cohort was 346/779 patients (44.4%). Total CS CDR was 30.7% (239/779 patients), with FBx detecting 26.3% (205/779) of patients with CS disease and SBx diagnosing an additional 4.4% (34/779) of patients (P<0.001). Furthermore, of all cancers detected by each modality, FBx detected a higher proportion of CS cancer compared to SBx (one negative biopsy: 75 vs. 50%, P<0.001, 2-3 negative biopsy: 76 vs. 61%, P = 0.006, 4 or more negative biopsies: 84 vs. 52%, P = 0.006). As such, SBx added a relatively small diagnostic value to FBx for detecting CS disease (one negative biopsy 3.5%, 2-3 negative biopsies 5%, 4 or more negative biopsies: 1%). FBx also outperformed SBx for upgrading patients to an intermediate or high-risk cancer category (GS>6) (one negative biopsy 11.5% vs. 3.6%, 2-3 negative biopsy 10.3% vs. 5.3%, 4 or more negative biopsies 19.1% vs. 1.1%). On multivariable analysis, the number of prior negative biopsies was a significant negative predictor of CS CDR on SBx (P = 0.006), but not on FBx (P = 0.151).

conclusionsUsing a large multi-institutional cohort, we were able to demonstrate that FBx outperformed SBx in patients with prior negative systematic biopsy. This was due, in part, to the decreasing CS CDR by SBx with increased number of prior biopsies. The yield of FBx stayed constant and did not decrease with increased number of prior negative biopsies. Therefore, repeat SBx alone in patients with multiple prior negative biopsies will be hindered by lower yield and FBx should be utilized concurrently in these patients.

Indexed as

AgedBiopsy, Large-Core NeedleFollow-Up StudiesHumansImage-Guided BiopsyMagnetic Resonance ImagingMaleMiddle AgedNeoplasm GradingProspective StudiesProstatic NeoplasmsRetrospective StudiesFusion biopsyMultiparametric MRIPrior negative biopsyProstate cancerSystematic biopsy

Identifiers

PMID29753548
PMCPMC8034501
OpenAlexW2800226327

What OpenQuestion holds

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Registered trials

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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.