Computerized analysis of transrectal ultrasonography images in the detection of prostate carcinoma.
OBJECTIVE
To report on the use of automated image analysis in the interpretation of transrectal ultrasonographic images of the prostate.


METHODS
During transrectal ultrasonography, images were recorded from biopsies performed in 127 patients. Subsequently in the image, the puncture place was marked and analysed. Analysis of the images was performed with the Automated Urologic Diagnostic Expert (AUDEX) system, consisting of a personal computer connected to the ultrasound machine. From the images collected, parameters can be calculated for image classification. The parameters obtained with this procedure were correlated with the histological result.


RESULTS
Evaluation showed a sensitivity of 84.8% and specificity of 87.5%. The positive and negative predictive values, to predict prostate carcinoma, were 84.8% and 87.5%, respectively.


CONCLUSIONS
Automated image analysis can help in the diagnosis of prostate carcinoma. In patients with non-palpable lesions or with poorly visualized tumours, image analysis is superior to the standard current diagnostic techniques.
de la Rosette
J J
JJ
Department of Urology, University Hospital Nijmegen, The Netherlands.
Giesen
R J
RJ
Huynen
A L
AL
Aarnink
R G
RG
Debruyne
F M
FM
Wijkstra
H
H
D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D011471:Prostatic Neoplasms / Q000000981:diagnostic imaging*; D011897:Random Allocation; D012189:Retrospective Studies; D012680:Sensitivity and Specificity; D014463:Ultrasonography