Direct comparison of PET/CT and MRI to predict the pathological response to neoadjuvant chemotherapy in breast cancer: a meta-analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-017-08852-8.pdf
Reference39 articles.
1. Goldhirsch, A., Glick, J. H., Gelber, R. D., Coates, A. S. & Senn, H. J. Meeting highlights: International Consensus Panel on the Treatment of Primary Breast Cancer. Seventh International Conference on Adjuvant Therapy of Primary Breast Cancer. Journal of clinical oncology: official journal of the American Society of Clinical Oncology 19, 3817–3827 (2001).
2. von Minckwitz, G. et al. Capecitabine in addition to anthracycline- and taxane-based neoadjuvant treatment in patients with primary breast cancer: phase III GeparQuattro study. Journal of clinical oncology: official journal of the American Society of Clinical Oncology 28, 2015–2023, doi: 10.1200/jco.2009.23.8303 (2010).
3. Thomas, E. et al. The use of alternate, non-cross-resistant adjuvant chemotherapy on the basis of pathologic response to a neoadjuvant doxorubicin-based regimen in women with operable breast cancer: long-term results from a prospective randomized trial. Journal of clinical oncology: official journal of the American Society of Clinical Oncology 22, 2294–2302, doi: 10.1200/jco.2004.05.207 (2004).
4. Marinovich, M. L. et al. Meta-analysis of agreement between MRI and pathologic breast tumour size after neoadjuvant chemotherapy. British journal of cancer 109, 1528–1536, doi: 10.1038/bjc.2013.473 (2013).
5. Wu, L. M. et al. Can diffusion-weighted MR imaging and contrast-enhanced MR imaging precisely evaluate and predict pathological response to neoadjuvant chemotherapy in patients with breast cancer? Breast cancer research and treatment 135, 17–28, doi: 10.1007/s10549-012-2033-5 (2012).
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