Ontology highlight
ABSTRACT: Background
Gleason scoring represents the standard for diagnosis of prostate cancer (PCa) and assessment of prognosis following radical prostatectomy (RP), but it does not account for patterns in neighboring normal-appearing benign fields that may be predictive of disease recurrence.Objective
To investigate (1) whether computer-extracted image features within tumor-adjacent benign regions on digital pathology images could predict recurrence in PCa patients after surgery and (2) whether a tumor plus adjacent benign signature (TABS) could better predict recurrence compared with Gleason score or features from benign or cancerous regions alone.Design, setting, and participants
We studied 140 tissue microarray cores (0.6mm each) from 70 PCa patients following surgery bet
SUBMITTER: Lee G
PROVIDER: S-EPMC5537035 | biostudies-literature | 2017 Oct
REPOSITORIES: biostudies-literature