Related references
Note: Only part of the references are listed.Investigating the prediction value of multiparametric magnetic resonance imaging at 3 T in response to neoadjuvant chemotherapy in breast cancer
Lenka Minarikova et al.
EUROPEAN RADIOLOGY (2017)
Assessment of early treatment response to neoadjuvant chemotherapy in breast cancer using non-mono-exponential diffusion models: a feasibility study comparing the baseline and mid-treatment MRI examinations
Reem Bedair et al.
EUROPEAN RADIOLOGY (2017)
Recent Advances in the Neoadjuvant Treatment of Breast Cancer
Gabor Rubovszky et al.
JOURNAL OF BREAST CANCER (2017)
Breast tumor stroma: A driving force in the development of resistance to therapies
Maryam Majidinia et al.
CHEMICAL BIOLOGY & DRUG DESIGN (2017)
Predictive value of DCE-MRI for early evaluation of pathological complete response to neoadjuvant chemotherapy in resectable primary breast cancer: A single-center prospective study
Ying-Shi Sun et al.
BREAST (2016)
The effect of chemotherapy on the mammographic appearance of breast cancer and correlation with histopathology
Kunal A. Mistry et al.
BRITISH JOURNAL OF RADIOLOGY (2016)
Early change in tumour size predicts overall survival in patients with first-line metastatic breast cancer
Sonya C. Tate et al.
EUROPEAN JOURNAL OF CANCER (2016)
Multi-parametric MRI in the early prediction of response to neo-adjuvant chemotherapy in breast cancer: Value of non-modelled parameters
Elizabeth A. M. O'Flynn et al.
EUROPEAN JOURNAL OF RADIOLOGY (2016)
Role of the Intravoxel Incoherent Motion Diffusion Weighted Imaging in the Pre-treatment Prediction and Early Response Monitoring to Neoadjuvant Chemotherapy in Locally Advanced Breast Cancer
Shunan Che et al.
MEDICINE (2016)
Functional MRI for the prediction of treatment response in head and neck squamous cell carcinoma: potential and limitations
Ann D. King et al.
CANCER IMAGING (2016)
DCE-MRI-Derived Parameters in Evaluating Abraxane-Induced Early Vascular Response and the Effectiveness of Its Synergistic Interaction with Cisplatin
Xilin Sun et al.
PLOS ONE (2016)
Dynamic Contrast-Enhanced MRI Perfusion Parameters as Imaging Biomarkers of Angiogenesis
Sung Hun Kim et al.
PLOS ONE (2016)
Role of the Apparent Diffusion Coefficient in the Prediction of Response to Neoadjuvant Chemotherapy in Patients With Locally Advanced Breast Cancer
Enida Bufi et al.
CLINICAL BREAST CANCER (2015)
Time-window of early detection of response to concurrent chemoradiation in cervical cancer by using diffusion-weighted MR imaging: a pilot study
Ying Liu et al.
RADIATION ONCOLOGY (2015)
Prognosis of invasive breast cancer after adjuvant therapy evaluated with VEGF microvessel density and microvascular imaging
Ying Li et al.
TUMOR BIOLOGY (2015)
IVIM diffusion-weighted imaging of the liver at 3.0 T: Comparison with 1.5 T
Yong Cui et al.
EUROPEAN JOURNAL OF RADIOLOGY OPEN (2015)
Multiparametric Magnetic Resonance Imaging for Predicting Pathological Response After the First Cycle of Neoadjuvant Chemotherapy in Breast Cancer
Xia Li et al.
INVESTIGATIVE RADIOLOGY (2014)
Role of diffusion-weighted imaging as an adjunct to contrast-enhanced breast MRI in evaluating residual breast cancer following neoadjuvant chemotherapy
Soo Yeon Hahn et al.
EUROPEAN JOURNAL OF RADIOLOGY (2014)
Early prediction of response to neoadjuvant chemotherapy in patients with breast cancer using diffusion-weighted imaging and gray-scale ultrasonography
Hitomi Iwasa et al.
ONCOLOGY REPORTS (2014)
Similar Prognoses for Invasive Micropapillary Breast Carcinoma and Pure Invasive Ductal Carcinoma: A Retrospectively Matched Cohort Study in China
Yin Liu et al.
PLOS ONE (2014)
Apparent Diffusion Coefficient in Estrogen Receptor-Positive Invasive Ductal Breast Carcinoma: Correlations with Tumor-Stroma Ratio
Eun Sook Ko et al.
RADIOLOGY (2014)
Diffusion-weighted MRI in pretreatment prediction of response to neoadjuvant chemotherapy in patients with breast cancer
Raphael Richard et al.
EUROPEAN RADIOLOGY (2013)
Recommendations from an International Consensus Conference on the Current Status and Future of Neoadjuvant Systemic Therapy in Primary Breast Cancer
Manfred Kaufmann et al.
ANNALS OF SURGICAL ONCOLOGY (2012)
Diffusion-Weighted Imaging of the Abdomen at 3.0 Tesla: Image Quality and Apparent Diffusion Coefficient Reproducibility Compared With 1.5 Tesla
Andrew B. Rosenkrantz et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2011)
Identification of Residual Breast Carcinoma Following Neoadjuvant Chemotherapy: Diffusion-weighted Imaging-Comparison with Contrast-enhanced MR Imaging and Pathologic Findings
Reiko Woodhams et al.
RADIOLOGY (2010)
Diffusion-weighted magnetic resonance imaging for assessment after neoadjuvant chemotherapy in breast cancer, based on morphological concepts
Yoriko Murata et al.
ONCOLOGY LETTERS (2010)
Longitudinal study of the assessment by MRI and diffusion-weighted imaging of tumor response in patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy
Uma Sharma et al.
NMR IN BIOMEDICINE (2009)
Magnetic resonance imaging of breast lesions - a pathologic correlation
Gary M. K. Tse et al.
BREAST CANCER RESEARCH AND TREATMENT (2007)
A new histological grading system to assess response of breast cancers to primary chemotherapy: prognostic significance and survival
KN Ogston et al.
BREAST (2003)
Share Paper
