Analysis of influential factors for prostate biopsy and establishment of logistic regression model for
prostate cancer / 中南大学学报(医学版)
Journal of Central South University(Medical Sciences)
;
(12): 651-656, 2015.
Article
in Chinese
| WPRIM
| ID: wpr-815292
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.
@*CONCLUSION@#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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Pathology
/
Prostatic Neoplasms
/
Urologic Surgical Procedures
/
Biopsy
/
Blood
/
Logistic Models
/
Retrospective Studies
/
ROC Curve
/
Sensitivity and Specificity
/
Prostate-Specific Antigen
Type of study:
Diagnostic study
/
Observational study
/
Prognostic study
/
Risk factors
Limits:
Humans
/
Male
Language:
Chinese
Journal:
Journal of Central South University(Medical Sciences)
Year:
2015
Type:
Article
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