Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer.

ABSTRACT:

Background

Gene-expression companion diagnostic tests, such as the Oncotype DX test, assess the risk of early stage Estrogen receptor (ER) positive (+) breast cancers, and guide clinicians in the decision of whether or not to use chemotherapy. However, these tests are typically expensive, time consuming, and tissue-destructive.

Methods

In this paper, we evaluate the ability of computer-extracted nuclear morphology features from routine hematoxylin and eosin (H&E) stained images of 178 early stage ER+ breast cancer patients to predict corresponding risk categories derived using the Oncotype DX test. A total of 216 features corresponding to the nuclear shape and architecture categories from each of the pathologic images were extracted and four feature selection schemes: Ranksu

SUBMITTER: Whitney J 

PROVIDER: S-EPMC5977541 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature