On the prediction of the histologic composition of benign prostatic hyperplasia based on clinical and MRI parameters.
BACKGROUND
The histologic composition of prostate adenoma seems related to the development of clinical benign prostatic hyperplasia (BPH). Therefore, a new noninvasive prediction model as an alternative for biopsies was investigated.


METHODS
In 19 patients, the data of a routine preoperative workup for transurethral resection (TURP) and of an additional MRI-examination were related to the results of morphometry on TURP-tissue.


RESULTS
Statistical analysis identified age of the patient and MRI-volumetrics of the prostate adenoma as best predictors of the epithelial fraction, with a 95% confidence interval of at least 5% (range, 9-14%) (R2 = 50%).


CONCLUSIONS
This prediction model is sufficiently accurate to categorize a population of patients into histologic subgroups. It seems very likely that this method will be of use as an investigative tool in medical trials to provide insight into the pathogenesis of clinical BPH and into treatment strategies for the individual patient.
Weijers
R E
RE
Department of Radiology, Academic Hospital Maastricht, The Netherlands.
Zambon
J V
JV
Kessels
A G
AG
de Bruïne
A P
AP
D000368:Aged; D000369:Aged, 80 and over; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D008954:Models, Biological; D015233:Models, Statistical; D011237:Predictive Value of Tests; D011467:Prostate / Q000000981:diagnostic imaging / Q000473:pathology*; D011470:Prostatic Hyperplasia / Q000175:diagnosis / Q000000981:diagnostic imaging / Q000473:pathology*; D012044:Regression Analysis; D014463:Ultrasonography