The relationship of the international prostate symptom score and objectiveparameters for diagnosing bladder outlet obstruction. Part II: The potential usefulness of artificial neural networks
Bs. Wadie et al., The relationship of the international prostate symptom score and objectiveparameters for diagnosing bladder outlet obstruction. Part II: The potential usefulness of artificial neural networks, J UROL, 165(1), 2001, pp. 35-37
Purpose: The International Prostate Symptom Score (I-PSS) is used exclusive
ly for evaluating patients with a prostate condition and following various
treatment modalities. As previously demonstrated, there is poor or no corre
lation of bladder outlet obstruction diagnosed by pressure flow study with
the symptoms projected by the I-PSS. Thus, we applied an artificial neural
network model to assess patients with lower urinary tract symptoms.
Materials and Methods: Data on 460 patients enrolled in part 1 of our study
were entered into a multilayer feed forward, hack propagation network.
Results: In the training set of 305 patients the model predicted obstructio
n in 94% with 94% sensitivity and 68% specificity. In the test set of 155 p
atients it predicted obstruction in 87% with 87% sensitivity and 44% specif
icity.
Conclusions: The accuracy of the model for diagnosing obstruction based on
the I-PSS is acceptable, considering that statistical models failed to demo
nstrate a correlation of symptoms with objective obstruction.