Evidence map›Paper›PMID 40684171›Full record

ArticleWorld journal of surgical oncology2025

Lesional volume in the prediction of clinically significant prostate cancer.

Bellamy Brodie, Daniel Yang Yao Peh, Yu Guang Tan, Yan Mee Law, Kae Jack Tay, Christopher Wai Sam Cheng, Henry Sun Sien Ho, John Shyi Peng Yuen, Alvin Yuan Ming Lee, Kenneth Chen

Abstract read
In one paragraph

Article in World journal of surgical oncology, 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.

Bellamy BrodieDepartment of Urology, Singapore General Hospital, Outram Road, 169608, Singapore. bellamy.brodie@mohh.com.sg.
Daniel Yang Yao PehLee Kong Chian School of Medicine, 11 Mandalay Road, 308232, Singapore.
Yu Guang TanDepartment of Urology, Singapore General Hospital, Outram Road, 169608, Singapore.
Yan Mee LawDepartment of Diagnostic Radiology, Singapore General Hospital, Outram Road, 169608, Singapore.
Kae Jack TayDepartment of Urology, Singapore General Hospital, Outram Road, 169608, Singapore.
Christopher Wai Sam ChengDepartment of Urology, Singapore General Hospital, Outram Road, 169608, Singapore.
Henry Sun Sien HoDepartment of Urology, Singapore General Hospital, Outram Road, 169608, Singapore.
John Shyi Peng YuenDepartment of Urology, Singapore General Hospital, Outram Road, 169608, Singapore.
Alvin Yuan Ming LeeDepartment of Urology, Singapore General Hospital, Outram Road, 169608, Singapore.
Kenneth ChenDepartment of Urology, Singapore General Hospital, Outram Road, 169608, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile MRI has significantly advanced risk stratification in prostate cancer, PIRADS scoring alone is still insufficient to solely determine which patients do not require biopsy. Beyond PIRADS scoring, data regarding lesional volume and number can easily be extracted. This study aims to investigate whether the novel parameter 'Lesional PSAD' is a better predictive biomarker for clinically significant prostate cancer than conventional PSAD.

methodsA retrospective analysis of 433 patients who underwent MRI Prostate followed by MRI-US fusion trans-perineal targeted and systematic biopsy was performed. Prostate and lesional volumes were calculated using the planimetry technique using MRI files. All PIRADS 3-5 lesions were considered significant. Lesional PSAD was calculated as: [Formula: see text] Statistical analysis with Mann-Whitney U and receiver operating curves was performed for prediction of clinically significant prostate cancer.

resultsMedian PSA at biopsy was 8.5 (6.1-11.64, ng/ml), with a prostate volume of 38.2 (29.2 -54.19, cc), and total lesional volume of 1.49cm

conclusionIntegrating lesional volume with conventional PSAD marginally increases predictive accuracy for csPCa, more so in early-onset prostate cancer, potentially aiding in decision-making for biopsy in high-risk patients.

Indexed as

Magnetic Resonance ImagingProstateProstate-Specific AntigenProstatic NeoplasmsAgedFollow-Up StudiesHumansImage-Guided BiopsyMaleMiddle AgedNeoplasm GradingPrognosisRetrospective StudiesROC CurveTumor BurdenProstate-Specific AntigenCancerMRI imagingOncologyProstateTumour marker

Identifiers

PMID40684171
PMCPMC12275328

What OpenQuestion holds

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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.