Literature DB >> 24825391

Impact of obesity on the predictive accuracy of prostate-specific antigen density and prostate-specific antigen in native Korean men undergoing prostate biopsy.

Jae Heon Kim1, Seung Whan Doo, Won Jae Yang, Kwang Woo Lee, Chang Ho Lee, Yun Seob Song, Yoon Su Jeon, Min Eui Kim, Soon-Sun Kwon.   

Abstract

OBJECTIVES: To evaluate the impact of obesity on the biopsy detection of prostate cancer.
METHODS: We retrospectively reviewed data of 1182 consecutive Korean patients (≥50 years) with serum prostate-specific antigen levels of 3-10 ng/mL who underwent initial extended 12-cores biopsy from September 2009 to March 2013. Patients who took medications that were likely to influence the prostate-specific antigen level were excluded. Receiver operating characteristic curves were plotted for prostate-specific antigen and prostate-specific antigen density predicting cancer status among non-obese and obese men.
RESULTS: A total of 1062 patients (mean age 67.1 years) were enrolled in the analysis. A total of 230 men (21.7%) had a positive biopsy. In the overall study sample, the area under the receiver operator characteristic curve of serum prostate-specific antigen for predicting prostate cancer on biopsy were 0.584 and 0.633 for non-obese and obese men, respectively (P = 0.234). However, the area under the curve for prostate-specific antigen density in predicting cancer status showed a significant difference (non-obese 0.696, obese 0.784; P = 0.017).
CONCLUSIONS: There seems to be a significant difference in the ability of prostate-specific antigen density to predict biopsy results between non-obese and obese men. Obesity positively influenced the overall ability of prostate-specific antigen density to predict prostate cancer.
© 2014 The Japanese Urological Association.

Entities:  

Keywords:  obesity; prostatic specific antigen; prostatic specific antigen density; receiver operating characteristic curve

Mesh:

Substances:

Year:  2014        PMID: 24825391     DOI: 10.1111/iju.12486

Source DB:  PubMed          Journal:  Int J Urol        ISSN: 0919-8172            Impact factor:   3.369


  2 in total

1.  Diagnostic value of MRI-based PSA density in predicting transperineal sector-guided prostate biopsy outcomes.

Authors:  Findlay MacAskill; Su-Min Lee; David Eldred-Evans; Wahyu Wulaningsih; Rick Popert; Konrad Wolfe; Mieke Van Hemelrijck; Giles Rottenberg; Sidath H Liyanage; Peter Acher
Journal:  Int Urol Nephrol       Date:  2017-05-05       Impact factor: 2.370

2.  Effect of body mass index on the performance characteristics of PSA-related markers to detect prostate cancer.

Authors:  Yao Zhu; Cheng-Tao Han; Gui-Ming Zhang; Fang Liu; Qiang Ding; Jian-Feng Xu; Adriana C Vidal; Stephen J Freedland; Chi-Fai Ng; Ding-Wei Ye
Journal:  Sci Rep       Date:  2016-01-12       Impact factor: 4.379

  2 in total

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