Advances in tissue-type imaging (TTI) for detecting and evaluating prostate cancer

Abstract

We are seeking to apply advanced ultrasonic tissue typing methods to overcoming severe limitations that now exist in conventional means of imaging cancerous lesions of the prostate. New tissue-type imaging (TTI) methods based on spectrum analysis of radiofrequency (RF) echo signals and neural-network classifiers show potential for distinguishing cancerous from non-cancerous prostate tissues. Encouraging ROC-curve results indicate superior classification. Consequently, these new TTI images may improve biopsy guidance and therapy targeting so that cancers are more-effectively detected and treated.