New urine test shows promising results in detecting, classifying risk for prostate cancer

A newly published article in BJU International has described a way to test post-DRE urine samples for the presence of specific types of ribonucleic acid (RNA) and use these data to detect and classify risk levels for more and less aggressive forms of prostate cancer. … READ MORE …

What did we learn at the AUA this year?

The annual meeting of the American Urological Association (AUA) is one at which a great deal of information is exchanged, but a lot of that information is of limited utility to patients. … READ MORE …

MRI and MRI-guided biopsies — a new Cochrane review

Cochrane reviews are structured, systematic, focused reviews of evidence in the field of medicine that either support or do not support specific forms of diagnosis and management of patients with or suspected of having particular disorders. … READ MORE …

PREDICT Prostate: a new, sophisticated, prostate cancer prognostic tool

A new paper just published in PLOS Medicine describes the development of a new online tool called PREDICT Prostate. … READ MORE …

Modern prostate cancer imaging: application of the right scan at the right time

A new “opinion” article in the Journal of Clinical Oncology this week has addressed the complex issue of how best to think about (a) how we are regulating use of and (b) how we are applying new forms of imaging technique in the management of prostate cancer … READ MORE …

Can MRI data improve older, pre-treatment, prognostic methods?

An obvious but previously unanswered question has been whether adding data from the results of MRI scans to the data used in the Partin tables and in the pre-surgical Kattan nomogram (also known as the Memorial-Sloan Kettering Cancer Center or MSKCC nomogram) can improve the accuracy of these two commonly used prognostic methods. … READ MORE …

Computer modeling, genomics, and prostate cancer prognosis

A newly published paper on the development of prostate cancer in patients of ≤ 55 years of age claims to have shown that

Using a newly-developed computer model, it is now possible to predict the course of the disease in individual patients. … READ MORE …