Evidence map›Paper›PMID 37068148›Full record

ArticleCanadian Urological Association journal = Journal de l'Association des urologues du Canada2023

The role of quantitative MRI-based prostate zonal parameters in predicting clinically significant prostate cancer A U.S. cohort.

Christina Sze, Aaron Brant, Jeffery P Johnson, Zorawar Singh, Gina DeMeo, Joseph Moryousef, Kevin C Zorn, Naeem Bhojani, Dean S Elterman, Daniel Margolis and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Canadian Urological Association journal = Journal de l'Association des urologues du Canada, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 80% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

11 authors at 8 institutions in 2 countries.

Christina SzeDepartment of Urology, Weill Cornel Medicine/New York Presbyterian Hospital, New York, NY, United States.
Aaron BrantDepartment of Urology, Weill Cornel Medicine/New York Presbyterian Hospital, New York, NY, United States.
Jeffery P JohnsonDepartment of Urology, Weill Cornel Medicine/New York Presbyterian Hospital, New York, NY, United States.
Zorawar SinghNorthwell Health, New York, NY, United States.
Gina DeMeoWeill Cornell Medical College, New York, NY, United States.
Joseph MoryousefMcGill University, Montreal, QC, Canada.
Kevin C ZornDivision of Urology, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.
Naeem BhojaniDivision of Urology, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.
Dean S EltermanDivision of Urology, University Health Network, University of Toronto, Toronto, ON, Canada.
Daniel MargolisDepartment of Radiology, New York Presbyterian Hospital, New York, NY, United States.
Bilal ChughtaiDepartment of Urology, Weill Cornel Medicine/New York Presbyterian Hospital, New York, NY, United States.
Centre Hospitalier de l’Université de Montréal · CANew York Hospital Queens · USNewYork–Presbyterian Hospital · USCornell University · USMcGill University · CANorthwell Health · USPresbyterian Hospital · USUniversity Health Network · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe aimed to investigate the clinical utility of quantitative prostatic zonal measurements on multiparametric magnetic resonance imaging (mpMRI) for the predication of clinically significant prostate cancer (csPCa).

methodsA retrospective, single-institution study included 144 men who underwent mpMRI from 2015-2017. Prostate zone parameters were measured on mpMRI. Correlation and multivariable analysis evaluated the relationship between prostate zone parameters and the presence of csPCa.

resultsThe mean age was 66.9±7.8 years old. The median (interquartile range [IQR]) prostate volume and prostate-specific antigen (PSA) were 51.6 ml (37.1-74.5) and 6.1 ng/ ml (4.5-8.2), respectively. Men with csPCa had significantly smaller total prostate volume (TPV), transitional zone volume (TZV), and transitional zone thickness (TZT), and larger transitional zone density (TZD) compared to those without PCa; however, on multivariate variable analysis, only TZD maintained significance. TZD had a comparable area under the curve to PSA density (PSAD) and PSA (0.74 vs. 0.73 vs. 0.60, respectively). In a subgroup analysis of men with PCa, PSAD and TZD were significantly higher in men with Gleason grade group (GG) ≥2 compared to those with GG <2 (p=0.002); however, this significance is not maintained on logistic regression in predicting GG.

conclusionsQuantitative features of prostate zones on MRI may aid in identifying better predictors of csPCa. Zonal-based PSA density (TZD) may be a useful marker in identifying csPCa. Further exploration is needed to understand the clinical application of larger TZV in men with csPCa compared to those with insignificant disease.

Identifiers

PMID37068148
PMCPMC10382215
OpenAlexW4365149661

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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.