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Lung Cancer

Overview of attention for book
Attention for Chapter 13: Multidisciplinary Care
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87 Mendeley
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Chapter title
Multidisciplinary Care
Chapter number 13
Book title
Lung Cancer
Published in
Cancer treatment and research, January 2016
DOI 10.1007/978-3-319-40389-2_13
Pubmed ID
Book ISBNs
978-3-31-940387-8, 978-3-31-940389-2
Authors

Megan E. Daly, Jonathan W. Riess, Daly, Megan E., Riess, Jonathan W.

Abstract

Optimal multidisciplinary care of the lung cancer patient at all stages should encompass integration of the key relevant medical specialties, including not only medical, surgical, and radiation oncology, but also pulmonology, interventional and diagnostic radiology, pathology, palliative care, and supportive services such as physical therapy, case management, smoking cessation, and nutrition. Multidisciplinary management starts at staging and tissue diagnosis with pathologic and molecular phenotyping, extends through selection of a treatment modality or modalities, management of treatment and cancer-related symptoms, and to survivorship and end-of-life care. Well-integrated multidisciplinary care may reduce treatment delays, improve cancer-specific outcomes, and enhance quality of life. We address key topics and areas of ongoing investigation in multidisciplinary decision making at each stage of the lung cancer treatment course for early-stage, locally advanced, and metastatic lung cancer patients.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 86 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 16%
Student > Bachelor 14 16%
Student > Postgraduate 8 9%
Other 6 7%
Researcher 6 7%
Other 15 17%
Unknown 24 28%
Readers by discipline Count As %
Medicine and Dentistry 23 26%
Nursing and Health Professions 13 15%
Agricultural and Biological Sciences 5 6%
Computer Science 3 3%
Business, Management and Accounting 3 3%
Other 11 13%
Unknown 29 33%