BookMasakazu Toi, Eric Winer, John Benson, Suzanne Klimberg, editors.
Contents:
Part I Treatment for the Patients Having Breast Cancer High-Risk
Chapter I Risk-Reducing Surgery for Breast Cancer Patients with BRCA Mutations
Chapter 2 Prophylactic Risk Reducing Surgery for Breast Cancer
Chapter 3 Merits and Demerits of Practice for Hereditary Breast and Ovarian Cancer Syndrome (Advices and Issues)
Part II Axillary Treatment
Chapter 4 Sentinel Lymph Node Biopsy and Neoadjuvant Chemotherapy in Breast Cancer Patients
Chapter 5 Axillary Reverse Mapping (ARM) as a Means to Reduce Lymphedema During Sentinel Lymph Node or Axillary Node Dissection
Chapter 6 Ultrasound for Axillary Staging
Chapter 7 One Step Nucleic Acid Amplification(OSNA)Assay for Primary Breast Cancer
Chapter 8 Management of the Clinically Node-Negative Axilla in Primary Breast Cancer
Chapter 9 Lymphatic Mapping and Optimization of Sentinel Lymph Node Dissection
Part III Radiation therapy
Chapter 10 Personalization of Radiotherapy for Breast Cancer
Chapter 11 New Technologies in Radiation Therapy
Chapter 12 Radiotherapy Following Neoadjuvant Chemotherapy in Locally Advanced Breast Cancer
Part IV Preoperative Hormone Therapy
Chapter 13 Novel Translational Research of Neoadjuvant Endocrine Therapy
Chapter 14 Alterations of Biomarkers by Neoadjuvant Endocrine Therapy
Part V Preoperative chemotherapy
Chapter 15 Essence of Neoadjuvant Therapy
Chapter 16 The challenge to Overcome Triple Negative Breast Cancer Heterogeneity
Chapter 17 Surgical Management of Breast Cancer after Preoperative Systemic Treatment
Chapter 18 Imaging of Tumor Response by Preoperative Systemic Treatment
Part VI Preoperative anti-HER2 therapy
Chapter 19 Human Epidermal Growth Factor Receptor (HER) Family Molecular Structure
Chapter 20 Locoregional Therapy Following Neoadjuvant Therapy for HER2-Positive Breast Cancer: Opportunities and Challenges
Part VII Mathematical prediction/assessment model
Chapter 21 Nomograms to predict positive resection margin and to predict 3 or more positive lymph nodes
Chapter 22 Practical Use of Nomograms
Chapter 23 Data Mining and Mathematical Model Development.