Literature DB >> 17339878

Prostatic volume and volume-adjusted prostate-specific antigen as predictive parameters for prostate cancer patients with intermediate PSA levels.

N Tanaka1, K Fujimoto, Y Chihara, M Torimoto, Y Hirao, N Konishi, I Saito.   

Abstract

The object of the study was to examine the usefulness of volume-adjusted prostate-specific antigen (PSA) parameters for prediction of prostate cancer in the patients with intermediate PSA levels. The subjects were 235 patients with intermediate PSA levels (range: 4.1-10.0 ng/ml) whose prostate volume (PV) and prostate transition zone volume (TZV) were evaluated between August 1996 and April 2004. PSA, PV, TZV, PSA density (PSAD) (PSA/PV) and PSA transition zone density (PSATZD) (PSA/TZV) were assessed with the receiver operating characteristic (ROC) curve and the area under the curve (AUC). Simple and multivariate logistic regression analyses were used to analyze the odds ratios of age, PSA, PSAD, PSATZD, PV, TZV, digital rectal examination (DRE) and transrectal ultrasonography (TRUS) findings. Fifty-five patients (23.4%) of 235 patients had biopsy-proven prostate cancer. The univariate analysis revealed significant differences in the mean values of age, PSAD, PSATZD, PV, TZV and DRE between the patients with cancer and the non-cancer patients. The ROC curve analysis revealed that PV, TZV, PSAD and PSATZD had significant predictive values as compared with that of PSA. However, there was no difference in AUC between them. The stepwise logistic regression analysis showed that the age, PV, PSATZD and DRE had significant predictive values, and that PSATZD had the most predictive power. In conclusion, both PSAD and PSATZD had significant predictive values in discriminating prostate cancer. Furthermore, the stepwise logistic regression analysis showed that PSATZD had the strongest predictive value.

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Year:  2007        PMID: 17339878     DOI: 10.1038/sj.pcan.4500957

Source DB:  PubMed          Journal:  Prostate Cancer Prostatic Dis        ISSN: 1365-7852            Impact factor:   5.554


  9 in total

1.  Utility of the transition zone index for identification of prostate cancer in Chinese men with intermediate PSA levels.

Authors:  Ting-yue Qi; Ya-qing Chen; Jun Jiang; Yun-kai Zhu; Xiao-hong Yao; Xiao-jin Wang
Journal:  Int Urol Nephrol       Date:  2012-02-05       Impact factor: 2.370

2.  Prostate volumes derived from MRI and volume-adjusted serum prostate-specific antigen: correlation with Gleason score of prostate cancer.

Authors:  Ibrahim Karademir; Dinggang Shen; Yahui Peng; Shu Liao; Yulei Jiang; Ambereen Yousuf; Gregory Karczmar; Steffen Sammet; Shiyang Wang; Milica Medved; Tatjana Antic; Scott Eggener; Aytekin Oto
Journal:  AJR Am J Roentgenol       Date:  2013-11       Impact factor: 3.959

3.  Prostate specific antigen and acinar density: a new dimension, the "Prostatocrit".

Authors:  Simon Robinson; Marc Laniado; Bruce Montgomery
Journal:  Int Braz J Urol       Date:  2017 Mar-Apr       Impact factor: 1.541

4.  Comparison of cancer detection rates by transrectal prostate biopsy for prostate cancer using two different nomograms based on patient's age and prostate volume.

Authors:  Shunta Hori; Nobumichi Tanaka; Yasushi Nakai; Yosuke Morizawa; Yoshihiro Tatsumi; Makito Miyake; Satoshi Anai; Tomomi Fujii; Noboru Konishi; Yoshinori Nakagawa; Syuya Hirao; Kiyohide Fujimoto
Journal:  Res Rep Urol       Date:  2019-03-19

5.  The roles of MRI-based prostate volume and associated zone-adjusted prostate-specific antigen concentrations in predicting prostate cancer and high-risk prostate cancer.

Authors:  Song Zheng; Shaoqin Jiang; Zhenlin Chen; Zhangcheng Huang; Wenzhen Shi; Bingqiao Liu; Yue Xu; Yinan Guo; Huijie Yang; Mengqiang Li
Journal:  PLoS One       Date:  2019-11-19       Impact factor: 3.240

6.  MRI-Based Nomogram of Prostate Maximum Sectional Area and Its Zone Area for Prediction of Prostate Cancer.

Authors:  Shaoqin Jiang; Zhangcheng Huang; Bingqiao Liu; Zhenlin Chen; Yue Xu; Wenzhong Zheng; Yaoan Wen; Mengqiang Li
Journal:  Front Oncol       Date:  2021-09-09       Impact factor: 6.244

7.  The optimal number of initial prostate biopsy cores in daily practice: a prospective study using the Nara Urological Research and Treatment Group nomogram.

Authors:  Nobumichi Tanaka; Keiji Shimada; Yoshinori Nakagawa; Shuya Hirao; Shuji Watanabe; Makito Miyake; Satoshi Anai; Akihide Hirayama; Noboru Konishi; Kiyohide Fujimoto
Journal:  BMC Res Notes       Date:  2015-11-18

8.  Peripheral zone prostate-specific antigen density: an effective parameter for prostate cancer prediction in men receiving 5α-reductase inhibitors.

Authors:  Kyo Chul Koo; Dong Hoon Lee; Seung Hwan Lee; Byung Ha Chung
Journal:  Prostate Int       Date:  2013-09-27

9.  Photodynamic diagnosis of shed prostate cancer cells in voided urine treated with 5-aminolevulinic acid.

Authors:  Yasushi Nakai; Satoshi Anai; Masaomi Kuwada; Makito Miyake; Yoshitomo Chihara; Nobumichi Tanaka; Akihide Hirayama; Katsunori Yoshida; Yoshihiko Hirao; Kiyohide Fujimoto
Journal:  BMC Urol       Date:  2014-08-03       Impact factor: 2.264

  9 in total

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