Evidence map›Paper›PMID 39465014›Full record

ArticleExploration of targeted anti-tumor therapy2024

Diagnostic utility of prostate health index density prior to MRI-ultrasound fusion targeted biopsy.

Benjamin H Press, Soum D Lokeshwar, Lindsey Webb, Ghazal Khajir, Shayan Smani, Olamide Olawoyin, Mursal Gardezi, Syed N Rahman, Michael S Leapman, Preston C Sprenkle

Abstract read
In one paragraph

Article in Exploration of targeted anti-tumor therapy, 2024. 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
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.

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

10 authors.

Benjamin H PressDepartment of Urology, Yale School of Medicine, New Haven, CT 06510, USA.ORCID https://orcid.org/0000-0001-6387-3093
Soum D LokeshwarDepartment of Urology, Yale School of Medicine, New Haven, CT 06510, USA.ORCID https://orcid.org/0000-0002-5260-766X
Lindsey WebbDepartment of Urology, Yale School of Medicine, New Haven, CT 06510, USA.ORCID https://orcid.org/0009-0006-5003-7049
Ghazal KhajirDepartment of Urology, Yale School of Medicine, New Haven, CT 06510, USA.ORCID https://orcid.org/0009-0008-7992-5351
Shayan SmaniDepartment of Urology, Yale School of Medicine, New Haven, CT 06510, USA.ORCID https://orcid.org/0000-0002-3456-2023
Olamide OlawoyinDepartment of Urology, Yale School of Medicine, New Haven, CT 06510, USA.ORCID https://orcid.org/0000-0002-9116-0557
Mursal GardeziDepartment of Urology, Yale School of Medicine, New Haven, CT 06510, USA.ORCID https://orcid.org/0000-0003-2188-3167
Syed N RahmanDepartment of Urology, Yale School of Medicine, New Haven, CT 06510, USA.
Michael S LeapmanDepartment of Urology, Yale School of Medicine, New Haven, CT 06510, USA.ORCID https://orcid.org/0000-0002-0727-7614
Preston C SprenkleDepartment of Urology, Yale School of Medicine, New Haven, CT 06510, USA.ORCID https://orcid.org/0000-0003-0502-9294

Funding

NIA Short Term Research Training: Students in Health Professional SchoolsT35AG049685 · NIA · YALE UNIVERSITY · PI Sarwat I Chaudhry, Terri R. Fried · 2016 to 2026
$804k
NIA NIH HHS T35 AG049685
6 · The paper itself

Abstract

Aim: Prostate biopsy can be prone to complications and thus should be avoided when unnecessary. Although the combination of magnetic resonance imaging (MRI), the prostate health index (PHI), and PHI density (PHID) has been shown to improve detection of clinically significant prostate cancer (csPCa), there is limited information available assessing its clinical utility. We sought to determine whether using PHID could enhance the detection of PCa on MRI ultrasound fusion-targeted biopsy (MRF-TB) compared to other biomarker cutoffs. Methods: Between June 2015 and December 2020, 302 men obtained PHI testing before MRF-TB at a single institution. We used descriptive statistics, multivariable logistic regression, and receiver operating characteristic curves to determine the predictive accuracy of PHID and PHI to detect ≥ Gleason grade group (GGG) 2 PCa and identify cutoff values. Results: Any cancer grade was identified in 75.5% of patients and ≥ GGG2 PCa was identified in 45% of patients. The median PHID was 1.05 [interquartile range (IQR) 0.59-1.64]. A PHID cutoff of 0.91 had a higher discriminatory ability to predict ≥ GGG2 PCa compared to PHI > 27, PHI > 36, and prostate specific-antigen (PSA) density > 0.15 (AUC: 0.707 vs. 0.549 vs. 0.620 vs. 0.601), particularly in men with Prostate Imaging Reporting and Data System (PI-RADS) 1-2 lesions on MRI (AUC: 0.817 vs. 0.563 vs. 0.621 vs. 0.678). At this cutoff, 35.0% of all the original biopsies could be safely avoided (PHID < 0.91 and no ≥ GGG2 PCa) and csPCa would be missed in 9.67% of patients who would have been biopsied. In patients with PI-RADS 1-2 lesions using a PHID cutoff of 0.91, 56.8% of biopsies could be safely avoided while missing 0 csPCa. Conclusions: These findings suggest that a PHID cutoff of 0.91 improves the selection of patients with elevated prostate-specific antigen who are referred for prostate biopsy, and potentially in patients with PI-RADS 1-2 lesions.

Indexed as

image-guided biopsiesMRIprostate-specific antigenProstatic neoplasmsprotein isoforms

Identifiers

PMID39465014
PMCPMC11502073

What OpenQuestion holds

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LicenceCC BY
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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.