title: [Analysis of influential factors for prostate biopsy and establishment of logistic regression model for  prostate cancer].
abstract: OBJECTIVE
  To establish logistic regression model for prostate cancer and provide basis for prostate biopsy.
  
  
  METHODS
  A total of 117 cases of prostate biopsy were retrospectively analyzed in chronological sequence. All cases were assigned into a model group (n=78) and a validation group (n=39). Logistic regression model was established and its value was estimated by receiver operating characteristic (ROC) curve.
  
  
  RESULTS
  Digital rectal examination(DRE), transrectal ultrasound(TRUS), MRI, prostate-specific antigen density (PSAD), and free PSA/total PSA (fPSA/tPSA) were the influential factors for prostate biopsy (P<0.01). The established logistic regression model for prostate cancer by regression coefficient was: logit P=-2.362+2.561×DRE+1.747×TRUS+2.901×MRI+1.126×PSAD- 2.569×fPSA/tPSA and area under curve was 0.907. When the cutoff aimed at 0.12, the sensitivity and specificity were 81.80% and 89.30%, respectively.
  
  
  CONCLUSIONS
  Logistic regression model for prostate cancer can provide sufficient basis for prostate biopsy. Prostate biopsy should be performed when P value is more than 0.12.
authors.affiliation: Department of Urology, Xiangya Hospital, Central South University, Changsha 410008, China.
authors.forename: Yonglin
authors.initials: Y
authors.lastname: Li
authors.affiliation: Department of Urology, Xiangya Hospital, Central South University, Changsha 410008, China.
authors.forename: Zhengyan
authors.initials: Z
authors.lastname: Tang
authors.affiliation: Department of Urology, Xiangya Hospital, Central South University, Changsha 410008, China.
authors.forename: Lin
authors.initials: L
authors.lastname: Qi
authors.affiliation: Department of Urology, Xiangya Hospital, Central South University, Changsha 410008, China.
authors.forename: Zhi
authors.initials: Z
authors.lastname: Chen
authors.affiliation: Department of Urology, Xiangya Hospital, Central South University, Changsha 410008, China.
authors.forename: Dongjie
authors.initials: D
authors.lastname: Li
authors.affiliation: Department of Urology, Xiangya Hospital, Central South University, Changsha 410008, China.
authors.forename: Mingqiang
authors.initials: M
authors.lastname: Zeng
authors.affiliation: Department of Urology, Xiangya Hospital, Central South University, Changsha 410008, China.
authors.forename: Ruizhi
authors.initials: R
authors.lastname: Xue
authors.affiliation: Department of Urology, Xiangya Hospital, Central South University, Changsha 410008, China.
authors.forename: Chuan
authors.initials: C
authors.lastname: Peng
mesh_terms: D001706:Biopsy; D006801:Humans; D016015:Logistic Models; D008297:Male; D017430:Prostate-Specific Antigen / Q000097:blood; D011471:Prostatic Neoplasms / Q000175:diagnosis* / Q000473:pathology*; D012372:ROC Curve; D012189:Retrospective Studies; D012680:Sensitivity and Specificity; D013520:Urologic Surgical Procedures
chemical_list: D017430:Prostate-Specific Antigen