Development of Statistical Model for Predicting Prostate Cancer in Patients Requiring Prostate Biopsy / 대한비뇨기과학회지
Korean Journal of Urology
;
: 1014-1020, 2004.
Article
in Korean
| WPRIM
| ID: wpr-178317
ABSTRACT
PURPOSE:
Patients with an abnormal digital rectal examination(DRE) or elevated serum prostate specific antigen(PSA) level proceed to a transrectal biopsy of the prostate. However, cancer detection is not predictable. There is a need to develop a statistical model for predicting the likelihood of prostate cancer for there to be confidence about the result of a biopsy. MATERIALS ANDMETHODS:
Patients with prostatism were evaluated based upon the recommendation of the International Consultation on benign prostatic hyperplasia(BPH). Amongst the patients evaluated, 141 revealed an abnormal DRE and/or serum PSA. A transrectal ultrasonography(TRUS) and transrectal biopsy was performed in all the patients. 38 of the above were diagnosed with prostate cancer and 103 with BPH or prostatitis. A logistic regression model was used to identify the variables with the most independent influence on prostate cancer and determine the most parsimonious combination of variables for predicting prostate cancer.RESULTS:
Age, hematuria, nocturia and a combination of urinary symptoms (incomplete emptying, frequency, urgency and nocturia), DRE, PSA and TRUS-hypoechoic lesion were significant variables for separately predicting prostate cancer. Among these, age, DRE, PSA and TRUS-hypoechoic lesion were independent predictors. The probability of prostate cancer(P) =exp(-9.7770+0.0807xage+1.4079xDRE+0.0257xPSA+1.0904xTRUS- hypoechoic lesion)/{(1+exp(-9.7770+0.0807xage+1.4079xDRE+0.0257xPSA+1.0904xTRUS-hypoechoic lesion)}.CONCLUSIONS:
A useful predictive model of prostate cancer has been developed using logistic regression analysis. This model suggests that patients with a high probability(P), but negative biopsy, would require a repeat biopsy. However, a low probability(P), and negative biopsy, would be suggestive of no hidden disease.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Prostate
/
Prostatic Neoplasms
/
Prostatitis
/
Biopsy
/
Logistic Models
/
Models, Statistical
/
Nocturia
/
Prostatism
/
Hematuria
Type of study:
Practice guideline
/
Prognostic study
/
Risk factors
Limits:
Humans
Language:
Korean
Journal:
Korean Journal of Urology
Year:
2004
Type:
Article
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