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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: net jm. Radiology. 2016 Nov;281(2):382-391. doi: 10.1148/radiol.2016152110. Epub 2016 May 5. Radiology. 2016. PMID: 27144536 Free PMC article.
Can mammographic and sonographic imaging features predict the Oncotype DX™ recurrence score in T1 and T2, hormone receptor positive, HER2 negative and axillary lymph node negative breast cancers?
Yepes MM, Romilly AP, Collado-Mesa F, Net JM, Kiszonas R, Arheart KL, Young D, Glück S. Yepes MM, et al. Among authors: net jm. Breast Cancer Res Treat. 2014 Nov;148(1):117-23. doi: 10.1007/s10549-014-3143-z. Epub 2014 Sep 28. Breast Cancer Res Treat. 2014. PMID: 25262341
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. Among authors: net jm. Cancer. 2016 Mar 1;122(5):748-57. doi: 10.1002/cncr.29791. Epub 2015 Nov 30. Cancer. 2016. PMID: 26619259 Free PMC article.
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. Oncoscience. 2018 Feb 26;5(1-2):39-48. doi: 10.18632/oncoscience.397. eCollection 2018 Jan. Oncoscience. 2018. PMID: 29556516 Free PMC article.
Breast MRI radiomics: comparison of computer- and human-extracted imaging phenotypes.
Sutton EJ, Huang EP, Drukker K, Burnside ES, Li H, Net JM, Rao A, Whitman GJ, Zuley M, Ganott M, Bonaccio E, Giger ML, Morris EA; TCGA group. Sutton EJ, et al. Among authors: net jm. Eur Radiol Exp. 2017;1(1):22. doi: 10.1186/s41747-017-0025-2. Epub 2017 Nov 21. Eur Radiol Exp. 2017. PMID: 29708200 Free PMC article.
23 results