[Analysis of influential factors for prostate biopsy and establishment of logistic regression model for prostate cancer].
Zhong Nan Da Xue Xue Bao Yi Xue Ban
; 40(6): 651-6, 2015 Jun.
Article
en Zh
| MEDLINE
| ID: mdl-26164515
ABSTRACT
OBJECTIVE:
To establish logistic regression model for prostate cancer and provide basis for prostate biopsy.â©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. â©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.â©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.
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Neoplasias de la Próstata
/
Biopsia
/
Modelos Logísticos
Tipo de estudio:
Diagnostic_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Humans
/
Male
Idioma:
Zh
Revista:
Zhong Nan Da Xue Xue Bao Yi Xue Ban
Asunto de la revista:
MEDICINA
Año:
2015
Tipo del documento:
Article
País de afiliación:
China