[Predicting prostate cancers using a logistic regression model with transrectal ultrasound characteristics, age and serum PSA].
OBJECTIVE
To determine the value of transrectal ultrasound characteristics in combination with age and prostate specific antigen (PSA) for predicting prostate cancers.


METHODS
579 patients with prostate diseases were examined with color doppler, followed by biopsies of prostates. A logistic regression model was developed to determine the relationship between prostate cancers and transrectal ultrasound characteristics, age and PSA levels.


RESULTS
The biopsy confirmed 194 (33. 5%) prostate cancer cases and 385 (66. 5%) noncancerous patients with prostate diseases. The prostate cancer patients showed hypoechoic nodule, uneven echo, abnormal blood flow, abnormal prostate shape, unclear boundary of internal and external glands, unclear dividing line of prostate and seminal vesicle glands, unclear dividing line of prostate and rectal, and lymph node metastasis. Our prediction model had a 83.59% accuracy, 64.95% sensitivity, 92.99% specificity, 82.35% positive predictive value, and 84.04% negative predictive value.


CONCLUSIONS
Transrectal ultrasound characteristics in combination with patients age and serum PSA is a good predictor of prostate cancer.
Institute of Drug Clinical Trial, West China Hospital, Sichuan University, Chengdu 610041, China.
Ju-Hong
JH
Mou
Yong-Zhong
YZ
Li
Mei
M
Li
Jia-Ying
JY
Yuan
Lin-Ling
LL
Zou
Min
M
Feng
Ping
P
Feng
D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D005544:Forecasting; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D017430:Prostate-Specific Antigen / Q000097:blood*; D011471:Prostatic Neoplasms / Q000175:diagnosis* / Q000000981:diagnostic imaging*; D014463:Ultrasonography
D017430:Prostate-Specific Antigen