Personalized treatment of breast cancer. (©2016)

• Record Type: Book
• Further Information: Note: Masakazu Toi, Eric Winer, John Benson, Suzanne Klimberg, editors.
• Other Names: Toi, Masakazu
• 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.
• Publisher Details: Tokyo, Japan : Springer
• Publication Date: 2016
• Copyright Date: 2016
• Extent: 1 online resource (381 pages), illustrations
• Subjects: 616.99/44906; 610; Breast -- Cancer -- Treatment; HEALTH & FITNESS -- Diseases -- General; MEDICAL -- Clinical Medicine; MEDICAL -- Diseases; MEDICAL -- Evidence-Based Medicine; MEDICAL -- Internal Medicine; Breast -- Cancer -- Treatment; Medicine & Public Health; Surgical Oncology; Primary Care Medicine; Surgery; Breast Neoplasms -- therapy; Precision Medicine; Combined Modality Therapy; Electronic books
• Languages: English
• ISBNs: 9784431555520; 4431555528
• Related ISBNs: 9784431555513; 443155551X
• Notes: Note: Includes bibliographical references at the end of each chapters.; Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.