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Predictions of the pathological response to neoadjuvant chemotherapy in patients with primary breast cancer using a data mining technique

✍ Scribed by M. Takada, M. Sugimoto, S. Ohno, K. Kuroi, N. Sato, H. Bando, N. Masuda, H. Iwata, M. Kondo, H. Sasano, L. W. C. Chow, T. Inamoto, Y. Naito, M. Tomita, M. Toi

Book ID
113062516
Publisher
Springer US
Year
2012
Tongue
English
Weight
726 KB
Volume
134
Category
Article
ISSN
0167-6806

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Predicting pathological response to neoadjuvant chemotherapy in breast cancer with quantitative 1H MR spectroscopy using the external standard method
✍ Mitsuhiro Tozaki; Masaaki Sakamoto; Yu Oyama; Katsuya Maruyama; Eisuke Fukuma πŸ“‚ Article πŸ“… 2010 πŸ› John Wiley and Sons 🌐 English βš– 283 KB

## Abstract ## Purpose: To assess the efficacy of quantitative ^1^H MR spectroscopy (MRS) using the external standard method to predict the pathological response to neoadjuvant chemotherapy with an anthracycline‐based regimen in breast cancer patients. ## Materials and Methods: Sixteen patients