Artificial Intelligence Algorithms to Assess Hormonal Status From Tissue Microarrays in Patients With Breast Cancer.

ABSTRACT:

Importance

Immunohistochemistry (IHC) is the most widely used assay for identification of molecular biomarkers. However, IHC is time consuming and costly, depends on tissue-handling protocols, and relies on pathologists' subjective interpretation. Image analysis by machine learning is gaining ground for various applications in pathology but has not been proposed to replace chemical-based assays for molecular detection.

Objective

To assess the prediction feasibility of molecular expression of biomarkers in cancer tissues, relying only on tissue architecture as seen in digitized hematoxylin-eosin (H&E)-stained specimens.

Design, setting, and participants

This single-institution retrospective diagnostic study assessed the breast cancer tissue microarrays library of patie

SUBMITTER: Shamai G 

PROVIDER: S-EPMC6661721 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature