Literature DB >> 12956448

PSA density and PSA transition zone density in the diagnosis of prostate cancer in PSA gray zone cases.

Yilmaz Aksoy1, Aytekin Oral, Hulya Aksoy, Azam Demirel, Fatih Akcay.   

Abstract

This study assessed the efficacy of prostate specific antigen density (PSAD) and PSA transition zone density (PSATZ) in predicting prostate cancer in men with PSA levels of 4.0-10.0 ng/ml. Between July 1996 and July 2000, PSAD and PSATZ were determined in 202 patients who underwent ultrasonography-guided systemic sextant biopsies plus 2 transitional zone biopsies. Of the 202 patients, 27 (13.4%) had prostate cancer and 175 (86.6%) had benign prostatic hyperplasia (BPH) on pathologic examination. Although there was no significant difference in mean PSA level between the prostate cancer and BPH patients (p = 0.28), the mean PSAD (p = 0.011) and PSATZ (p = 0.036) were significantly higher in prostate cancer than in BPH patients. In discriminating prostate cancer patients, the cut-off values of 0.35 ng/ml/cc for PSATZ, and 0.15 ng/ml/cc for PSAD yielded specificity levels of 69 and 56, and sensitivity levels of 63 and 81%, respectively. In conclusion, no substantial advantage of PSATZ over PSAD could be demonstrated.

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Year:  2003        PMID: 12956448

Source DB:  PubMed          Journal:  Ann Clin Lab Sci        ISSN: 0091-7370            Impact factor:   1.256


  5 in total

1.  The use of prostate specific antigen (PSA) density in detecting prostate cancer in Chinese men with PSA levels of 4-10 ng/mL.

Authors:  Xiang-Yi Zheng; Li-Ping Xie; Yu-Yong Wang; Wei Ding; Kai Yang; Hua-Feng Shen; Jie Qin; Yu Bai; Zhao-Dian Chen
Journal:  J Cancer Res Clin Oncol       Date:  2008-04-30       Impact factor: 4.553

2.  Clinical Significance of 18F-Fluorodeoxyglucose Avid Prostate Gland Incidentalomas on Positron Emission Tomography/Computed Tomography.

Authors:  William Makis; Anthony Ciarallo
Journal:  Mol Imaging Radionucl Ther       Date:  2017-06-01

3.  Development and validation of a novel multivariate risk score to guide biopsy decision for the diagnosis of clinically significant prostate cancer.

Authors:  Helmut Klocker; Bruno Golding; Stephan Weber; Eberhard Steiner; Pierre Tennstedt; Thomas Keller; Ralph Schiess; Silke Gillessen; Wolfgang Horninger; Thomas Steuber
Journal:  BJUI Compass       Date:  2020-03-12

4.  A prostate cancer model build by a novel SVM-ID3 hybrid feature selection method using both genotyping and phenotype data from dbGaP.

Authors:  Sait Can Yücebaş; Yeşim Aydın Son
Journal:  PLoS One       Date:  2014-03-20       Impact factor: 3.240

5.  Zonal adjusted PSA density improves prostate cancer detection rates compared with PSA in Taiwanese males with PSA < 20 ng/ml.

Authors:  Tsung-Hsin Chang; Wun-Rong Lin; Wei-Kung Tsai; Pai-Kai Chiang; Marcelo Chen; Jen-Shu Tseng; Allen W Chiu
Journal:  BMC Urol       Date:  2020-10-07       Impact factor: 2.264

  5 in total

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