Prediction of prostate cancer recurrence using quantitative phase imaging: Validation on a general population.

ABSTRACT: Prediction of biochemical recurrence risk of prostate cancer following radical prostatectomy is critical for determining whether the patient would benefit from adjuvant treatments. Various nomograms exist today for identifying individuals at higher risk for recurrence; however, an optimistic under-estimation of recurrence risk is a common problem associated with these methods. We previously showed that anisotropy of light scattering measured using quantitative phase imaging, in the stromal layer adjacent to cancerous glands, is predictive of recurrence. That nested-case controlled study consisted of specimens specifically chosen such that the current prognostic methods fail. Here we report on validating the utility of optical anisotropy for prediction of prostate cancer recurrence in a gen

SUBMITTER: Sridharan S 

PROVIDER: S-EPMC5034339 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature