A recent investigation follows and expands the field of previous studies on the malignancy-associated changes and, above all, adds the missing piece: the role of image analysis of normal-looking prostate epithelium in the prediction of prognosis. This requires combining and integrating our knowledge of uropathology with that of engineering and informatics.
Montironi, R., Cheng, L., Lopez-Beltran, A., & Scarpelli, M. (2017, October 1). Quantitative Image Analysis on Histologic Virtual Slides for Prostate Pathology Diagnosis, Response to Chemopreventive Agents, and Prognosis. European Urology Focus. Elsevier B.V. https://doi.org/10.1016/j.euf.2016.06.013