Evidence map›Paper›PMID 39762550›Full record

ArticleProstate cancer and prostatic diseases2025

Prostate MRI and clinicopathologic risk calculator to predict laterality of extraprostatic extension at radical prostatectomy.

Eric V Li, Sai Kumar, Jonathan A Aguiar, Mohammad R Siddiqui, Zequn Sun, Clayton Neill, Edward M Schaeffer, Ashley E Ross, Hiten D Patel

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Prostate cancer and prostatic diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

9 authors.

Eric V LiNorthwestern University, Feinberg School of Medicine, Department of Urology, Chicago, IL, 60611, USA. eric.li1@northwestern.edu.ORCID 0000-0002-5506-5755
Sai KumarNorthwestern University, Feinberg School of Medicine, Department of Preventive Medicine-Division of Biostatistics, Chicago, IL, 60611, USA.ORCID 0000-0002-3577-3543
Jonathan A AguiarNorthwestern University, Feinberg School of Medicine, Department of Urology, Chicago, IL, 60611, USA.ORCID 0000-0001-5418-419X
Mohammad R SiddiquiNorthwestern University, Feinberg School of Medicine, Department of Urology, Chicago, IL, 60611, USA.
Zequn SunNorthwestern University, Feinberg School of Medicine, Department of Preventive Medicine-Division of Biostatistics, Chicago, IL, 60611, USA.
Clayton NeillNorthwestern University, Feinberg School of Medicine, Department of Urology, Chicago, IL, 60611, USA.ORCID 0009-0003-3603-9580
Edward M SchaefferNorthwestern University, Feinberg School of Medicine, Department of Urology, Chicago, IL, 60611, USA.ORCID 0000-0003-0699-1899
Ashley E Ross *Northwestern University, Feinberg School of Medicine, Department of Urology, Chicago, IL, 60611, USA.ORCID 0000-0001-7044-9688
Hiten D Patel *Northwestern University, Feinberg School of Medicine, Department of Urology, Chicago, IL, 60611, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraditional nomograms can inform the presence of extraprostatic extension (EPE) but not laterality, which remains important for surgical planning, and have not fully incorporated multiparametric MRI data. We evaluated predictors of side-specific EPE on surgical pathology including MRI characteristics and developed side-specific EPE risk calculators.

methodsThis was a retrospective cohort of patients evaluated with mpMRI prior to radical prostatectomy (RP) in our eleven hospital healthcare system from July 2018-November 2022. The dominant side was defined pre-operatively using a tiered system based on laterality of highest biopsy Gleason Grade Group (GG), highest PIRADS lesion, number of lesions, and cancer volume. Univariable and multivariable logistic regression were performed for overall EPE, dominant side EPE, and non-dominant side EPE. Internal validation with leave one out and calibration curves were completed.

resultsEPE was identified in 53% (317/601) of patients at RP. Side-specific factors (PIRADS, GG, abutment) were only associated with EPE on their respective side. Final variables in the model associated with EPE on the dominant and non-dominant sides included age, log PSA density (PSAD), side-specific PIRADS 5, side-specific GG3-5, and percentage positivity of systematic cores. AUCs for dominant and non-dominant side EPE were 0.77 (95% CI 0.73-0.80) and 0.79 (95% CI 0.74-0.84), respectively. MRI-identified abutment and prostate health index (PHI) did not improve model discrimination. Risk calculators available online at https://rossnm1.shinyapps.io/PredictionOfEPELaterality/ .

conclusionsPSA, side-specific PIRADS, side-specific GG, and percentage positivity of systematic cores were associated with side-specific EPE at RP and incorporated into a risk calculator to assist in surgical planning and nerve-sparing decisions at time of RP.

Indexed as

Multiparametric Magnetic Resonance ImagingProstateProstatectomyProstatic NeoplasmsAgedBiopsyHumansMaleMiddle AgedNeoplasm GradingNeoplasm InvasivenessNomogramsPatient Care PlanningRetrospective StudiesRisk Assessment

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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.