Evidence map›Paper›PMID 34353711›Full record

ArticleUrologic oncology2022

Cancer-specific outcomes for prostate cancer patients who had prebiopsy prostate MRI.

Jonathan Li, Dattatraya Patil, Martin G Sanda, Christopher P Filson

Abstract read
In one paragraph

Article in Urologic oncology, 2022. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jonathan LiDepartment of Urology, Emory University School of Medicine, Atlanta, GA.
Dattatraya PatilDepartment of Urology, Emory University School of Medicine, Atlanta, GA.
Martin G SandaDepartment of Urology, Emory University School of Medicine, Atlanta, GA; Winship Cancer Institute, Emory Healthcare, Atlanta, GA.
Christopher P FilsonDepartment of Urology, Emory University School of Medicine, Atlanta, GA; Winship Cancer Institute, Emory Healthcare, Atlanta, GA; Assistant Professor, Department of Urology, Emory University School of Medicine Member, Winship Cancer Institute, Atlanta, GA. Electronic address: cfilson@emory.edu.

Funding

Prostate Cancer Biomarker and Imaging Validation Alliance: Emory University, University of Alabama Birmingham, and University of Texas SouthwesternU01CA113913 · NCI · EMORY UNIVERSITY · PI Martin G. Sanda · 2005 to 2026
$16.4M
NCI NIH HHS U01 CA113913
6 · The paper itself

Abstract

purposeWe characterized population-level cancer-specific outcomes for prostate cancer patients based on use of prebiopsy prostate MRI.

methodsUsing SEER-Medicare claims, we identified men diagnosed with localized prostate cancer from 2010-2015 and prostate-specific antigen (PSA) < 20 ng/mL. Primary exposure was prebiopsy prostate MRI prior to diagnosis (i.e., CPT 72197 linked to urology-specific diagnosis). Outcomes included diagnosis of Grade Group 2+ disease on biopsy and proportion treated with prostatectomy. We assessed those treated with prostatectomy and evaluated association with prebiopsy MRI and grade concordance between biopsy and prostatectomy. We estimated adjusted odds ratios with multivariable regression after accounting for other factors (e.g., age, year, PSA, race/ethnicity).

resultsWe identified 48,574 patients, where 915 (1.9%) underwent prebiopsy MRI. Patients with prebiopsy MRI had more GG>2 cancer on biopsy (70.0% MRI vs. 62.8% no MRI) but lost significance after adjustment (OR 1.12, 95% CI 0.96-1.30). Patients with prebiopsy MRI were more likely to have prostatectomy (39.2% vs. 28.5%, adjusted OR 1.51, 95%CI 1.31-1.76). Downgrading from biopsy GG 3-5 to final GG 1-2 was less common after prebiopsy MRI (21.3% vs. 28.2% no MRI, P = 0.05) but not significant after adjustment (OR 0.74, 95% CI 0.51 - 1.08). Among 14,027 men with prostatectomy, accurate risk classification was not more likely with a prebiopsy MRI (48.0% no MRI vs. 49.6% prebiopsy MRI, P = 0.56).

conclusionDuring initial adoption, men with prebiopsy prostate MRI had marginally increased detection of significant cancer on biopsy and were more likely to be treated with prostatectomy. For those treated with prostatectomy, use of prebiopsy MRI was not associated with a greater likelihood of accurate risk classification or grade concordance between biopsy and final pathology results.

Indexed as

HumansImage-Guided BiopsyMagnetic Resonance ImagingMaleProstatic Neoplasms

Identifiers

PMID34353711
PMCPMC8807787

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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.