Evidence map›Paper›PMID 40437977›Full record

ArticleBJU international2025

Magnetic resonance imaging for long-term active surveillance biopsy decision-making.

Riccardo Leni, Amy L Tin, Nicole Liso, Sigrid V Carlsson, Oguz Akin, Francesco Montorsi, Alberto Briganti, James A Eastham, Andrew J Vickers, Behfar Ehdaie

Abstract read
In one paragraph

Article in BJU international, 2025. 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

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.

  1. 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.

Riccardo LeniDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID https://orcid.org/0000-0003-0779-0984
Amy L TinDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Nicole LisoDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Sigrid V CarlssonDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Oguz AkinDepartment of Radiology, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Francesco MontorsiDivision of Experimental Oncology, Department of Urology, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID https://orcid.org/0000-0002-7267-4181
Alberto BrigantiDivision of Experimental Oncology, Department of Urology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
James A EasthamUrology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Andrew J VickersDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID https://orcid.org/0000-0003-1525-6503
Behfar EhdaieUrology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID https://orcid.org/0000-0003-2949-0632

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748NCI NIH HHS P30-CA008748
6 · The paper itself

Abstract

objectivesTo evaluate whether long-term magnetic resonance imaging (MRI) findings, alone or in combination with prostate-specific antigen (PSA) density or the result of prior surveillance biopsies, could be used to omit biopsies occurring after patients have been on active surveillance (AS) for ≥5 years. PATIENTS AND

methodsAnalysis of a single-institution AS cohort of patients with Grade Group (GG) 1 prostate cancer who underwent a scheduled 6-year MRI and biopsy. Multivariable logistic regression was used to test the association between the Prostate Imaging-Reporting and Data System (PI-RADS) score, PSA density, status of prior AS biopsy, and reclassification to GG ≥2. We then analysed how many GG ≥2 cancers would be missed if the 6-year biopsy was avoided based on significant predictors.

resultsIn all, 49 of 221 men (22%) were reclassified to GG ≥2. PSA density and PI-RADS scores 4-5 were significant predictors; a prior negative AS biopsy was inversely associated with GG ≥2. The risk of missing GG ≥2 if the 6-year biopsy is omitted in men with an unsuspicious MRI (PI-RADS 1-2) was 12% (95% confidence interval [CI] 5.3-19%). After testing combinations of MRI findings, PSA density, and the status of the prior biopsy, we found the lowest risk of GG ≥2 in patients with a prior negative biopsy and PSA density of <0.10 ng/mL/cc (5.3%, 95% CI 1.5-10%).

conclusionsAn unsuspicious MRI at 6 years is not enough alone to omit the 6-year AS biopsy under current guidelines. Combining MRI findings, PSA density, and prior negative AS biopsies is a promising strategy to tailor surveillance intensity. Our findings should be replicated in larger cohorts prior to implementation in clinical practice.

Indexed as

Clinical Decision-MakingMagnetic Resonance ImagingProstateProstatic NeoplasmsWatchful WaitingAgedBiopsyHumansMaleMiddle AgedProstate-Specific AntigenRetrospective StudiesProstate-Specific Antigenactive surveillancemultiparametric magnetic resonance imagingprostate cancerreclassificationsurveillance biopsy

Identifiers

PMID40437977
PMCPMC12350062

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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.