Evidence map›Paper›PMID 38085220›Full record

ArticleJNCI cancer spectrum2023

Prostate cancer risk stratification using magnetic resonance imaging-ultrasound fusion vs systematic prostate biopsy.

Ghazal Khajir, Benjamin Press, Soum Lokeshwar, Kamyar Ghabili, Syed Rahman, Mursal Gardezi, Samuel Washington, Matthew R Cooperberg, Preston Sprenkle, Michael S Leapman

Open access · goldAbstract read
In one paragraph

Article in JNCI cancer spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Detection of benign granular cell tumor of the breast viaSAGE open medical case reports · 2024
    Article
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 3 institutions in 1 country.

Ghazal KhajirDepartment of Urology, Yale School of Medicine, New Haven, CT, USA.ORCID 0009-0008-7992-5351
Benjamin PressDepartment of Urology, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0001-6387-3093
Soum LokeshwarDepartment of Urology, Yale School of Medicine, New Haven, CT, USA.
Kamyar GhabiliDepartment of Radiology, Penn State Hershey Medical Center, Hershey, PA, USA.
Syed RahmanDepartment of Urology, Yale School of Medicine, New Haven, CT, USA.
Mursal GardeziDepartment of Urology, Yale School of Medicine, New Haven, CT, USA.
Samuel WashingtonDepartment of Urology, University of California San Francisco, San Francisco, CA, USA.
Matthew R CooperbergDepartment of Urology, University of California San Francisco, San Francisco, CA, USA.
Preston SprenkleDepartment of Urology, Yale School of Medicine, New Haven, CT, USA.
Michael S LeapmanDepartment of Urology, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0002-0727-7614
Yale University · USUniversity of California, San Francisco · USPenn State Milton S. Hershey Medical Center · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundImage-guided approaches improve the diagnostic yield of prostate biopsy and frequently modify estimates of clinical risk. To better understand the impact of magnetic resonance imaging-ultrasound fusion targeted biopsy (MRF-TB) on risk assessment, we compared the distribution of National Comprehensive Cancer Network (NCCN) risk groupings, as calculated from MRF-TB vs systematic biopsy alone.

methodsWe performed a retrospective analysis of 713 patients who underwent MRF-TB from January 2017 to July 2021. The primary study objective was to compare the distribution of National Comprehensive Cancer Network risk groupings obtained using MRF-TB (systematic + targeted) vs systematic biopsy.

resultsSystematic biopsy alone classified 10% of samples as very low risk and 18.7% of samples as low risk, while MRF-TB classified 10.5% of samples as very low risk and 16.1% of samples as low risk. Among patients with benign findings, low-risk disease, and favorable/intermediate-risk disease on systematic biopsy alone, 4.6% of biopsies were reclassified as high risk or very high risk on MRF-TB. Of 207 patients choosing active surveillance, 64 (31%), 91 (44%), 42 (20.2%), and 10 (4.8%) patients were classified as having very low-risk, low-risk, and favorable/intermediate-risk and unfavorable/intermediate-risk criteria, respectively. When using systematic biopsy alone, 204 patients (28.7%) were classified as having either very low-risk and low-risk disease per NCCN guidelines, while 190 men (26.6%) received this classification when using MRF-TB.

conclusionThe addition of MRF-TB to systematic biopsy may change eligibility for active surveillance in only a small proportion of patients with prostate cancer. Our findings support the need for routine use of quantitative risk assessment over risk groupings to promote more nuanced decision making for localized cancer.

Indexed as

Magnetic Resonance Imaging, InterventionalProstatic NeoplasmsHumansImage-Guided BiopsyMagnetic Resonance ImagingMaleProstateRetrospective StudiesRisk AssessmentUltrasonography, Interventional

Identifiers

PMID38085220
PMCPMC10733209
OpenAlexW4389606872

What OpenQuestion holds

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LicenceCC BY-NC
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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.