Predicting long-term survival and treatment response in breast cancer patients receiving neoadjuvant chemotherapy by MR metabolic profiling

Distinct choline metabolic profiles are associated with differences in gene expression for basal-like and luminal-like breast cancer xenograft models

(2010) Siver A Moestue et al.   BMC CANCER

Efficacy of Neoadjuvant Cisplatin in Triple-Negative Breast Cancer

(2010) Daniel P. Silver et al.   JOURNAL OF CLINICAL ONCOLOGY

Docetaxel versus docetaxel alternating with gemcitabine as treatments of advanced breast cancer: final analysis of a randomised trial

(2009) H. Joensuu et al.   ANNALS OF ONCOLOGY

Taurine: a potential marker of apoptosis in gliomas

(2009) K S Opstad et al.   BRITISH JOURNAL OF CANCER

Multivariate Modeling and Prediction of Breast Cancer Prognostic Factors Using MR Metabolomics

(2009) Guro F. Giskeødegård et al.   JOURNAL OF PROTEOME RESEARCH

High resolution magic angle spinning 1H NMR of childhood brain and nervous system tumours

(2009) Martin Wilson et al.   Molecular Cancer

Non-invasive detection of glycine as a biomarker of malignancy in childhood brain tumours usingin-vivo1H MRS at 1.5 Tesla confirmed byex-vivohigh-resolution magic-angle spinning NMR

(2009) N. P. Davies et al.   NMR IN BIOMEDICINE

Predicting Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer by Using MR Imaging and Quantitative1H MR Spectroscopy

(2009) Hyeon-Man Baek et al.   RADIOLOGY

Proton MR spectroscopy for monitoring early treatment response of breast cancer to neo-adjuvant chemotherapy

(2008) H.-M. Baek et al.   ANNALS OF ONCOLOGY

Neoadjuvant chemotherapy for locally advanced breast cancer: A review of the literature and future directions

(2008) J. Mathew et al.   EJSO

Genetic algorithm-based feature selection in high-resolution NMR spectra

(2007) Hyun-Woo Cho et al.   EXPERT SYSTEMS WITH APPLICATIONS