Evidence map›Paper›PMID 39072341›Full record

ArticleCancer management and research2024

Investigation of the Effectiveness of Prostate Biopsy Density in Predicting Prostate Cancer Under Cognitive and Systematic Biopsy in Multi-Parametric Magnetic Resonance Imaging (mpMRI).

Jiajin Feng, Keming Chen, Haifu Tian, Al-Qaisi Mohammed Abdulkarem, Yunshang Tuo, Xuehao Wang, Bincheng Huang, Yu Gao, Zhiyong Lv, Rui He and 1 more

Abstract read
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Article in Cancer management and research, 2024. 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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1 · What the graph read from it

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2 · The registry

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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

11 authors.

Jiajin Feng *General Hospital of Ningxia Medical University, Yinchuan, 750004, People's Republic of China.
Keming Chen *General Hospital of Ningxia Medical University, Yinchuan, 750004, People's Republic of China.
Haifu TianGeneral Hospital of Ningxia Medical University, Yinchuan, 750004, People's Republic of China.
Al-Qaisi Mohammed AbdulkaremGeneral Hospital of Ningxia Medical University, Yinchuan, 750004, People's Republic of China.
Yunshang TuoGeneral Hospital of Ningxia Medical University, Yinchuan, 750004, People's Republic of China.
Xuehao WangGeneral Hospital of Ningxia Medical University, Yinchuan, 750004, People's Republic of China.
Bincheng HuangGeneral Hospital of Ningxia Medical University, Yinchuan, 750004, People's Republic of China.
Yu GaoGeneral Hospital of Ningxia Medical University, Yinchuan, 750004, People's Republic of China.
Zhiyong LvGeneral Hospital of Ningxia Medical University, Yinchuan, 750004, People's Republic of China.
Rui HeKey Laboratory of Fertility Preservation and Maintenance of Ministry of Education, School of Basic Medical Sciences, Ningxia Medical University, Yinchuan, 750004, People's Republic of China.
Guangyong LiGeneral Hospital of Ningxia Medical University, Yinchuan, 750004, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the effectiveness of prostate biopsy density in predicting prostate cancer under cognitive and systematic biopsy mode in multi-parametric magnetic resonance imaging (mpMRI). Methods: A retrospective analysis was conducted on clinical data of 204 patients who were suspected of having prostate cancer with prostate-specific antigen (PSA) levels less than 50 ng mL Results: The detection rate of prostate cancer in the study population was 32.35%. Multivariate analysis showed that age, PSAD, PI-RADS 2.1 score, and prostate biopsy density were independent predictors of prostate cancer. The ROC curve analysis revealed an AUC of 0.707 (95% CI 0.625-0.790) for biopsy density, with a cutoff value of approximately 0.22 needle mL Conclusion: Biopsy density is associated with the detection of prostate cancer, with a critical value of 0.22 needle mL

Indexed as

biopsy densitycancer predictioncognitive fusionmulti-parametric magnetic resonance imagingprostate biopsy

Identifiers

PMID39072341
PMCPMC11283794

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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.