Evidence map›Paper›PMID 40226047›Full record

ArticleTranslational andrology and urology2025

Development and validation of multivariable biopsy-free nomograms to predict clinically significant prostate cancer in patients with prostate-specific antigen levels ≥20 ng/mL.

Mingzhe Chen, Shanqi Guo, Junxin Wang, Nan Wang, Simeng Wen, Hongtuan Zhang, Yong Wang, Ranlu Liu, Yong Xu, Xingkang Jiang

Abstract read
In one paragraph

Article in Translational andrology and urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Mingzhe Chen *Department of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.ORCID https://orcid.org/0009-0002-5239-9933
Shanqi Guo *Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China.ORCID https://orcid.org/0000-0002-8385-4567
Junxin WangDepartment of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Nan WangTianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, China.
Simeng WenDepartment of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Hongtuan ZhangDepartment of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Yong WangDepartment of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Ranlu LiuDepartment of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.ORCID https://orcid.org/0000-0003-0425-4430
Yong XuDepartment of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.ORCID https://orcid.org/0000-0001-8943-1023
Xingkang JiangDepartment of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.ORCID https://orcid.org/0000-0003-3084-1655

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Elevated prostate-specific antigen (PSA) levels often lead to prostate biopsies, which can result in overdiagnosis and complications, thereby increasing preoperative anxiety. This study aimed to develop and validate a novel biopsy-free diagnostic nomogram for accurate detection of clinically significant prostate cancer (csPCa) in patients with PSA levels ≥20 ng/mL. Methods: The cohort of this retrospective analysis included patients with PSA levels ≥20 ng/mL who underwent evaluation including clinical variables, Prostate Imaging-Reporting and Data System (PI-RADS), prostate health index (PHI), and prostate-specific membrane antigen positron emission tomography-computed tomography (PSMA PET/CT). Nomogram performance was evaluated using the concordance index, calibration plot, decision curve analysis, and the area under the receiver operating characteristic curve (AUC). Results: Of 684 patients, 478 and 206 were randomly assigned to the diagnostic and validation cohorts, respectively. Multivariable predictors of csPCa included age, PSA density, PI-RADS, location of suspicious lesion, %PSA variation ratio, and acute urinary retention. The foundational nomogram achieved AUCs of 0.930 and 0.911 for the training and validation sets, respectively. By integrating both PHI and PSMA maximum standardized uptake value (SUVmax), the diagnostic accuracy of the advanced nomogram improved significantly, with AUCs of 0.951 and 0.935 for the training and validation sets, respectively. Limitations included the lack of external validation and potential selection bias. Conclusions: The biopsy-free nomogram presents a promising approach for accurate diagnosis of csPCa in patients with PSA levels ≥20 ng/mL. This non-invasive method can reduce unnecessary biopsies and enhance patient care by identifying those necessitating further evaluation and treatment.

Indexed as

Multiparametric magnetic resonance imaging (mpMRI)nomogramprostate cancerprostate health index (PHI)prostate-specific membrane antigen positron emission tomography imaging (PSMA PET imaging)

Identifiers

PMID40226047
PMCPMC11986468

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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.