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Personalized Treatment Of Breast Cancer
Personalized Treatment Of Breast Cancer
Edición/Edição:
Autores: Masakazu Toi; Antoia Vernadakis; Eric Winer; John Benson; Suzanne Klimberg
Editorial:
ISBN: 9784431555513
Formato: Rústica/Paperback
Nº volumenes: 1 Páginas: 327
Año publicación/Ano de publicação: 2016
Disponibilidad/Disponibilidade: 15 días
Precio/Preço : 126,00 € 119,70 € (124,49€ iva incluído)
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Cómpralos juntos y ahorra
Personalized Treatment Of Breast Cancer Mastología Oncológica
· Personalized Treatment Of Breast Cancer (Masakazu Toi; Antoia Vernadakis; Eric Winer; John Benson; Suzanne Klimberg)
· Mastología Oncológica (Sandra M. Silva | E. Almeida)
236,00 € 224,20 €
Descripción/Descrição
This book deals with the essential factors in the personalization of treatment for primary breast cancer. These include host issues, lymph node surgery, radiation therapy and preoperative systemic treatment requiring specialized knowledge, multidisciplinary care experience, techniques, and research. Locoregional treatment in conjunction with systemic treatments is another important factor, with options for local therapy significantly affected by genetic BRCA mutation. Axillary treatment issues have become top priorities in recent primary breast cancer care and these are highlighted in the book’s presentation of technological advances in lymph node mapping and diagnosis, axillary clearance in patients with nodal metastasis and the role of axillary surgery. Attention is also given to locoregional treatment after preoperative systemic therapy. Because therapeutic impact differs depending upon biological characteristics such as tumor subtype, local therapy should be based both on tumor biology and on therapeutic response in parallel. Associated translational research and mathematical prediction tools such as nomograms also are introduced. This book provides the essence of primary breast cancer care, particularly its individualization with novel therapeutic concepts and strategies and will greatly benefit physicians and clinical investigators in breast cancer institutions.
Table of Contents
Part 1.- Treatment for the patients having breast cancer high-risk
1.- Treatment of the patients having genetic disorders
2.- BRCA associated increased risk for breast cancer in Australia
3.- Risk reducing surgery for breast cancer patients having BRCA mutation
4.- Risk reducing surgery for females having BRCA mutation

Part 2.- Axillary treatment
5.- Sentinel lymph node biopsy and neoadjuvant chemotherapy in primary breast cancer
6.- Axillary Reverse Mapping
7.- Role of ultrasound in axillary staging
8.- One Step Nucleic acid Amplification (OSNA) Assay for primary breast cancer
9.- Management of the clinically node-negative axilla in primary breast cancer
10.- Lymphatic mapping and optimization of sentinel nodes dissection
Part 3.- Radiation therapy
11.- Personalisation of radiotherapy for breast cancer
12.- Advances in Radiation therapy
13.- The role of radiotherapy following neoadjuvant chemotherapy in locally advanced breast cancer
Part 4.- Preoperative hormone therapy
14.- Translational research of neoadjuvant endocrine therapy
15.- Alternation of biomarkers in tumor microenviroment by neoadjuvant endocrine therapy
16.- Exploration of host factors affecting endocrine therapy response
17.- Surgical management after preoperative hormone therapy
Part 5.- Preoperative chemotherapy
18.- Neoadjuvant systemic chemotherapy
19.- The challenge to overcome TNBC heterogeneity
20.- Surgical management of breast after preoperative systemic treatment
21.- Assessment of tumor response by preoperative systemic treatment
Part 6.- Preoperative anti-HER2 therapy
22.- ERBB2-targeting therapy updates
23.- Preoperative Therapy for HER2-Positive Breast Cancer
24.- Locoregional Therapy Following Neoadjuvant Therapy for HER2 Positive Breast Cancer: Opportunities and Challenges
Part 7.- Mathematical prediction/assessment model
25.- Nomograms to predict positive resection margin and to predict 3 or more positive lymph nodes
26.- Individualized breast cancer care using nomograms
27.- Data mining and mathematical models development.
Authors
Masakazu Toi, Professor, Breast Surgery, Kyoto University
Eric P Winer, Professor, Department of Medicine, Harvard Medical School
John R Benson, Professor, Cambridge Breast Unit, Cambridge University
Suzanne Klimberg, Breast Surgical Oncology, University of Arkansas for Medical Sciences.
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