Evidence map›Paper›PMID 26680244›Full record

ArticleUrology2016

Combined Biparametric Prostate Magnetic Resonance Imaging and Prostate-specific Antigen in the Detection of Prostate Cancer: A Validation Study in a Biopsy-naive Patient Population.

Michele Fascelli, Soroush Rais-Bahrami, Sandeep Sankineni, Anna M Brown, Arvin K George, Richard Ho, Thomas Frye, Amichai Kilchevsky, Raju Chelluri, Steven Abboud and 6 more

Open access · greenAbstract readValidation Study
In one paragraph

Article in Urology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 3 pooled it
10.5field-weighted citation impact, top 1% 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

38 citing papers in PubMed, 3 syntheses or guidelines pooled it, 93 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 3 institutions in 1 country.

Michele FascelliUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Soroush Rais-BahramiUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD; Departments of Urology and Radiology, University of Alabama at Birmingham, Birmingham, AL.
Sandeep SankineniMolecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Anna M BrownMolecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Arvin K GeorgeUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Richard HoUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Thomas FryeUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Amichai KilchevskyUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Raju ChelluriUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Steven AbboudUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD.
M Minhaj SiddiquiUrologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD; Department of Surgery, Division of Urology, University of Maryland, Baltimore, MD.
Maria J MerinoLaboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Bradford J WoodCenter for Interventional Oncology, Department of Radiology and Imaging Services, NIH Clinical Center and National Cancer Institute, National Institutes of Health, Bethesda, MD.
Peter L ChoykeMolecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Peter A PintoCenter for Interventional Oncology, Department of Radiology and Imaging Services, NIH Clinical Center and National Cancer Institute, National Institutes of Health, Bethesda, MD; Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD.
Baris TurkbeyMolecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD. Electronic address: ismail.turkbey@nih.gov.
National Institutes of Health · USNational Cancer Institute · USUniversity of Maryland, Baltimore · US

Funding

Prostate SectionZIABC011081 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI PINTO, PETER · 2009 to 2025
$15.2M
Study of Hereditary Renal and Other Familial SyndromesZIABC010696 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MERINO, MARIA · 2009 to 2025
$4.5M
Prostate Cancer ImagingZ01BC010655 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CHOYKE, PETER L · 2005 to 2008
$2.1M
miRNA profiling of prostate cancer in young and older male patientsZIABC011406 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MERINO, MARIA · 2011 to 2023
$1.8M
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 BC011081
6 · The paper itself

Abstract

objectiveTo validate the use of biparametric (T2- and diffusion-weighted) magnetic resonance imaging (B-MRI) and prostate-specific antigen (PSA) or PSA density (PSAD) in a biopsy-naive cohort at risk for prostate cancer (PCa).

methodsAll patients (n = 59) underwent PSA screening and digital rectal exam prior to a B-MRI followed by MRI or transrectal ultrasound fusion-guided targeted biopsy. Previously reported composite formulas incorporating screen positive lesions (SPL) on B-MRI and PSA or PSAD were developed to maximize PCa detection. For PSA, a patient was considered screen positive if PSA level + 6 × (the number of SPL) >14. For PSAD, screening was positive if PSAD × 14 + (the number of SPL) >4.25. These schemes were employed in this new test set to validate the initial formulas. Performance assessment of these formulas was determined for all cancer detection and for tumors with Gleason ≥3 + 4.

resultsScreen positive lesions on B-MRI had the highest sensitivity (95.5%) and negative predictive value of 71.4% compared with PSA and PSAD. B-MRI significantly improved sensitivity (43.2-72.7%, P = .0002) when combined with PSAD. The negative predictive value of PSA increased with B-MRI, achieving 91.7% for B-MRI and PSA for Gleason ≥3 + 4. Overall accuracies of the composite equations were 81.4% (B-MRI and PSA) and 78.0% (B-MRI and PSAD).

conclusionValidation with a biopsy-naive cohort demonstrates the parameter SPL performed better than PSA or PSAD alone in accurately detecting PCa. The combined use of B-MRI, PSA, and PSAD resulted in improved accuracy for detecting clinically significant PCa.

Indexed as

AgedAged, 80 and overBiopsyHumansMagnetic Resonance ImagingMaleMiddle AgedProstate-Specific AntigenProstatic NeoplasmsRetrospective StudiesProstate-Specific Antigen

Identifiers

PMID26680244
PMCPMC9461708
OpenAlexW2295402589

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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.