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Optimizing Breast Cancer Management

Overview of attention for book
Attention for Chapter 4: Management of the Axilla in Early Breast Cancer
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Chapter title
Management of the Axilla in Early Breast Cancer
Chapter number 4
Book title
Optimizing Breast Cancer Management
Published in
Cancer treatment and research, January 2018
DOI 10.1007/978-3-319-70197-4_4
Pubmed ID
Book ISBNs
978-3-31-970195-0, 978-3-31-970197-4
Authors

Monica G. Valero, Mehra Golshan

Abstract

Management of the axilla in early breast cancer patients has significantly evolved in the last several decades. With the arrival of the sentinel lymph node biopsy, surgical practice for axillary staging in patients with early breast cancer has become gradually less invasive and formal axillary lymph node dissection has been confined to selected patients. Over the last two decades, evidence from randomized clinical trials have allowed for the de-escalation of axillary surgery in the management of early stage breast cancer. Advances in the staging and treatment of the axilla constitute a key component in determining initial surgical planning and therapeutic strategies in the treatment of early breast cancer. This chapter provides an updated review on the history, evolution, and current practices for axillary management in patients with early breast cancer, with particular attention to the surgical recommendations and controversial scenarios of the evolving management of the axilla.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 16%
Student > Bachelor 3 16%
Student > Master 3 16%
Lecturer > Senior Lecturer 1 5%
Student > Ph. D. Student 1 5%
Other 3 16%
Unknown 5 26%
Readers by discipline Count As %
Medicine and Dentistry 8 42%
Nursing and Health Professions 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Computer Science 1 5%
Agricultural and Biological Sciences 1 5%
Other 0 0%
Unknown 7 37%