Evidence map›Paper›PMID 27281263›Full record

ArticleAmerican journal of clinical oncology2018

Targeted Prostate Biopsy Gleason Score Heterogeneity and Implications for Risk Stratification.

Shane Mesko, Leonard Marks, Omar Ragab, Shyamal Patel, Daniel A Margolis, D Jeffrey Demanes, Mitchell Kamrava

Abstract read
In one paragraph

Article in American journal of clinical oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 31 citations in OpenAlex.

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  8. Using active surveillance for Gleason 7 (3+4) prostate cancer: A narrative review.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2024
    Review
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  12. CanEuropean journal of nuclear medicine and molecular imaging · 2021
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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

7 authors at 3 institutions in 1 country.

Shane MeskoUniversity of California Irvine School of Medicine, Irvine.
Leonard MarksDepartments of Urology.
Omar RagabRadiation Oncology.
Shyamal PatelRadiation Oncology.
Daniel A MargolisRadiology, University of California Los Angeles, Los Angeles, CA.
D Jeffrey DemanesRadiation Oncology.
Mitchell KamravaRadiation Oncology.
Radiation Oncology Associates · USUniversity of California, Irvine · USUniversity of California, Los Angeles · US

Funding

UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Biopsy Tracking and MRI Fusion to Enhance Imaging of Cancer Within the ProstateR01CA158627 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MARKS, LEONARD STEPHEN · 2011 to 2013
$1.4M
UCLA Clinical and Translational Science InstituteKL2RR033185 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2011 to 2011
$407k
NCATS NIH HHS UL1 TR000124NCI NIH HHS R01 CA158627NCRR NIH HHS KL2 RR033185
6 · The paper itself

Abstract

objectivesTo quantify Gleason score (GS) heterogeneity within multiparametric magnetic resonance imaging (MRI)-targeted prostate biopsies and to determine impact on National Comprehensive Cancer Network (NCCN) risk stratification.

methodsAn Institutional Review Board-approved retrospective study was performed on men who underwent Artemis (MRI-transrectal-ultrasound fusion) targeted biopsy (TB) for suspected prostate cancer between 2012 and 2015. Intratarget heterogeneity was defined as a difference in GS between 2 cores within a single target in patients with ≥2 positive cores. Prostate specific antigen, maximum tumor diameter, apparent diffusion coefficient, MRI suspicion score, prostate volume, systematic biopsy (SB) GS, and T-stage were analyzed for correlation with heterogeneity. Changes in NCCN risk based on high versus low GS on TB, SB alone, and SB+TB were compared.

resultsFifty-three patients underwent TB of 73 suspected lesions. Seventy percent (51/73) had ≥2 positive cores, thus meeting inclusion criteria for heterogeneity analysis. Fifty-five percent (28/51) of qualifying targets showed GS heterogeneity. None of the evaluated factors showed a significant relationship with heterogeneity. NCCN low-risk, intermediate-risk, and high-risk groups were 30%, 49%, and 21%, respectively, with SB alone. Adding low GS TB to SB resulted in 17%, 55%, 28% in each risk group, while using high GS+SB resulted in 4%, 54%, and 42%. Overall, the addition of TB resulted in higher NCCN risk groups in 38% of cases.

conclusionsOver half of multiparametric MRI-defined targets demonstrated GS heterogeneity. The addition of high GS from TB leads to risk inflation compared with using SB alone. Further research is needed on how to integrate these findings into current risk stratification models and clinical practice.

Indexed as

AgedAged, 80 and overFollow-Up StudiesHumansImage-Guided BiopsyMagnetic Resonance ImagingMaleMiddle AgedNeoplasm GradingNeoplasm StagingPilot ProjectsProstatic NeoplasmsRetrospective StudiesRisk AssessmentRisk Factors

Identifiers

PMID27281263
PMCPMC6754742
OpenAlexW2415643292

What OpenQuestion holds

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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.