Evidence map›Paper›PMID 37745905›Full record

ArticleProstate international2023

How to avoid prostate biopsy in men with Prostate Image-Reporting and Data System 3 lesion? Development and external validation of new biopsy indication using prostate health index density.

Jae Yeon Kim, Seong Soo Jeon, Jae Hoon Chung, Seung Soo Lee, Sung-Woo Park

Abstract read
In one paragraph

Article in Prostate international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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4 · The record

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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

5 authors.

Jae Yeon KimDepartment of Urology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Korea.
Seong Soo JeonDepartment of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Jae Hoon ChungDepartment of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Seung Soo LeeDepartment of Urology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Korea.
Sung-Woo ParkDepartment of Urology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To develop a customized prostate biopsy indication using prostate health index density (PHID) combined with multiparametric magnetic resonance imaging (mpMRI) and assess the reliability of the PHID cutoff value in external populations. Methods: A total of 521 cognitive MRI/ultrasonography fusion prostate biopsies and biomarker tests for prostate-specific antigen (PSA), free PSA, and PHI were performed after mpMRI. The predictive value for clinically significant prostate cancer (csPCa; Gleason score≥7) of PSA derivatives was examined using the ROC curve. We developed a new biopsy indication utilizing a PHID cutoff based on the Prostate Image-Reporting and Data System (PI-RADS) score, which was externally validated. Results: The combination of PHID and mpMRI (AUC = 0.884) demonstrated the highest predictive ability for csPCa, although PHID (AUC = 0.843) and PI-RADS (AUC = 0.806) individually also showed a high diagnostic value. When a PHID cutoff of 0.75 was used in men with PI-RADS 3 lesions, the negative predictive value of csPCa was 100%, and approximately half of the biopsies could be safely avoided. Conclusion: Compared to PHID or PI-RADS scores alone, the combination of PHID and PI-RADS scores increased the accuracy of csPCa detection and the number of cases in which biopsy could be avoided. In men with PI-RADS 3 lesions, the optimal PHID cutoff ≥0.75 can prevent half of the unnecessary biopsies without missing csPCa. In men with PI-RADS 4-5 lesions, biopsies are warranted regardless of PHID values because csPCa could be accompanied by low PHID.

Indexed as

BiopsyProstate-specific antigenProstatic neoplasmsProstatic secretory proteins

Identifiers

PMID37745905
PMCPMC10513902

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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.