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163 results

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Using computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage.
Burnside ES, Drukker K, Li H, Bonaccio E, Zuley M, Ganott M, Net JM, Sutton EJ, Brandt KR, Whitman GJ, Conzen SD, Lan L, Ji Y, Zhu Y, Jaffe CC, Huang EP, Freymann JB, Kirby JS, Morris EA, Giger ML. Burnside ES, et al. Cancer. 2016 Mar 1;122(5):748-57. doi: 10.1002/cncr.29791. Epub 2015 Nov 30. Cancer. 2016. PMID: 26619259 Free PMC article.
Predicting invasive breast cancer versus DCIS in different age groups.
Ayvaci MU, Alagoz O, Chhatwal J, Munoz del Rio A, Sickles EA, Nassif H, Kerlikowske K, Burnside ES. Ayvaci MU, et al. Among authors: burnside es. BMC Cancer. 2014 Aug 11;14:584. doi: 10.1186/1471-2407-14-584. BMC Cancer. 2014. PMID: 25112586 Free PMC article.
MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays.
Li H, Zhu Y, Burnside ES, Drukker K, Hoadley KA, Fan C, Conzen SD, Whitman GJ, Sutton EJ, Net JM, Ganott M, Huang E, Morris EA, Perou CM, Ji Y, Giger ML. Li H, et al. Among authors: burnside es. Radiology. 2016 Nov;281(2):382-391. doi: 10.1148/radiol.2016152110. Epub 2016 May 5. Radiology. 2016. PMID: 27144536 Free PMC article.
Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set.
Li H, Zhu Y, Burnside ES, Huang E, Drukker K, Hoadley KA, Fan C, Conzen SD, Zuley M, Net JM, Sutton E, Whitman GJ, Morris E, Perou CM, Ji Y, Giger ML. Li H, et al. Among authors: burnside es. NPJ Breast Cancer. 2016;2:16012-. doi: 10.1038/npjbcancer.2016.12. Epub 2016 May 11. NPJ Breast Cancer. 2016. PMID: 27853751 Free PMC article.
Mammography Performance Benchmarks in an Era of Value-based Care.
Lee JM, Miglioretti DL, Burnside ES, Morris EA, Smith RA, Lehman CD. Lee JM, et al. Among authors: burnside es. Radiology. 2017 Aug;284(2):605-607. doi: 10.1148/radiol.2017170638. Radiology. 2017. PMID: 28723290 Free PMC article. No abstract available.
High-dimensional regression analysis links magnetic resonance imaging features and protein expression and signaling pathway alterations in breast invasive carcinoma.
Lehrer M, Bhadra A, Aithala S, Ravikumar V, Zheng Y, Dogan B, Bonaccio E, Burnside ES, Morris E, Sutton E, Whitman GJ, Net J, Brandt K, Ganott M, Zuley M, Rao A; TCGA Breast Phenotype Research Group. Lehrer M, et al. Among authors: burnside es. Oncoscience. 2018 Feb 26;5(1-2):39-48. doi: 10.18632/oncoscience.397. eCollection 2018 Jan. Oncoscience. 2018. PMID: 29556516 Free PMC article.
163 results