MRI texture analysis in differentiating luminal A and luminal B breast cancer molecular subtypes - a feasibility study-Reference-Cited by-同舟云学术

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MRI texture analysis in differentiating luminal A and luminal B breast cancer molecular subtypes - a feasibility study

Published:2017-12 Issue:1 Volume:17 Page:
ISSN:1471-2342
Container-title:BMC Medical Imaging
language:en
Short-container-title:BMC Med Imaging

Author:

Holli-Helenius Kirsi,Salminen Annukka,Rinta-Kiikka Irina,Koskivuo Ilkka,Brück Nina,Boström Pia,Parkkola Riitta

Publisher

Springer Science and Business Media LLC

Subject

Radiology Nuclear Medicine and imaging

Link

http://link.springer.com/content/pdf/10.1186/s12880-017-0239-z.pdf

Reference43 articles.

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2. Györffy B, Hatzis C, Sanft T, Hofstatter E, Aktas B, Pusztai L. Multigene prognostic tests in breast cancer: past, present, future. Breast Cancer Res. 2015;17:11. https://doi.org/10.1186/s13058-015-0514-2 .

3. Song YJ, Shin SH, Cho JS, Park MH, Yoon JH, Jegal YJ. The role of lymphovascular invasion as a prognostic factor in patients with lymph node-positive operable invasive breast cancer. J Breast Cancer. 2011;14(3):198–203. https://doi.org/10.4048/jbc.2011.14.3.198.

4. Goldhirsch A, Winer EP, Coates AS, Gelber RD, Piccart-Gebhart M, Thürlimann B, Senn HJ. Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer. Ann Oncol. 2013;24:2206–23.

5. Bustreo S, Osella-Abate S, Cassoni P, Donadio M, Airoldi M, Pedani F, Papotti M, Sapino A, Castellano I. Optimal Ki-67 cut-off for luminal breast cancer prognostic evaluation: a large case series study with a long-term follow-up. Breast Cancer Research and Treatment. 2016;157:363–71. https://doi.org/10.1007/s10549-016-3817-9 .

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