| Title | Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer. |
| Publication Type | Journal Article |
| Year of Publication | 2018 |
| Authors | Whitney, J, Corredor G, Janowczyk A, Ganesan S, Doyle S, Tomaszewski J, Feldman M, Gilmore H, Madabhushi A |
| Journal | BMC cancer |
| Volume | 18 |
| Issue | 1 |
| Pagination | 610 |
| Date Published | 2018 May 30 |
| ISSN | 1471-2407 |
| Keywords | Adult, Aged, Breast, Breast Neoplasms, Cell Nucleus, Female, Genetic Testing, Humans, Image Processing, Computer-Assisted, Middle Aged, Models, Biological, Neoplasm Staging, Predictive Value of Tests, Principal Component Analysis, Prognosis, Receptors, Estrogen, Risk Factors, ROC Curve, Staining and Labeling, Supervised Machine Learning, Young Adult |
| Abstract | 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. |
| DOI | 10.1186/s12885-018-4448-9 |
| PDF Link | |
| Alternate Journal | BMC Cancer |
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