Breast cancer Ki-67 expression prediction by digital breast tomosynthesis radiomics features
Author:
Funder
Ministero della Salute
Publisher
Springer Science and Business Media LLC
Subject
Radiology Nuclear Medicine and imaging
Link
http://link.springer.com/content/pdf/10.1186/s41747-019-0117-2.pdf
Reference10 articles.
1. de Azambuja E, Cardoso F, de Castro G Jr et al (2007) Ki-67 as prognostic marker in early breast cancer: a meta-analysis of published studies involving 12,155 patients. Br J Cancer 96:1504–1513 https://doi.org/10.1038/sj.bjc.6603756
2. Ignatiadis M, Azim HA Jr, Desmedt C et al (2016) The genomic grade assay compared with Ki-67 to determine risk of distant breast cancer recurrence. JAMA Oncol 2:217–224 https://doi.org/10.1001/jamaoncol.2015.4377
3. Rimm DL, Leung SCY, McShane LM et al (2019) An international multicenter study to evaluate reproducibility of automated scoring for assessment of Ki-67 in breast cancer. Mod Pathol 32:59–69 https://doi.org/10.1038/s41379-018-0109-4
4. Valdora F, Houssami N, Rossi F, Calabrese M, Tagliafico AS (2018) Rapid review: radiomics and breast cancer. Breast Cancer Res Treat 169:217–229 https://doi.org/10.1007/s10549-018-4675-4
5. Crivelli P, Ledda RE, Parascandolo N, Fara A, Soro D, Conti M (2018) A new challenge for radiologists: radiomics in breast cancer. Biomed Res Int 2018:1–10 https://doi.org/10.1155/2018/6120703
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