Surgical Oncology

An Algorithmic Approach

  • Theodore J. Saclarides
  • Keith W. Millikan
  • Constantine V. Godellas

Table of contents

  1. Front Matter
    Pages i-xxix
  2. Head and Neck

    1. Front Matter
      Pages 1-1
    2. Tina J. Hieken
      Pages 2-9
    3. John A. Greager
      Pages 10-13
    4. Nader Sadeghi, William R. Panje
      Pages 14-23
    5. Benjamin D. L. Li, G. E. Ghali, Emery A. Minnard
      Pages 24-31
    6. Nader Sadeghi, William R. Panje
      Pages 32-39
    7. Ashok R. Shaha
      Pages 40-45
    8. V. Amod Saxena, Cam Nguyen
      Pages 46-51
    9. Tasia S. Economou
      Pages 52-61
    10. Ronald H. Spiro, Dennis T. H. Lim
      Pages 62-71
  3. Endocrine Malignancies

    1. Front Matter
      Pages 73-73
    2. Peter Y. Wong, Richard A. Prinz
      Pages 74-85
    3. Constantine V. Godellas
      Pages 86-89
    4. Scott R. Schell, Robert Udelsman
      Pages 90-97
    5. Geoffrey B. Thompson, F. John Service
      Pages 104-113
    6. Mark S. Talamonti
      Pages 114-119
    7. Keith W. Millikan, Edward F. Hollinger
      Pages 120-137
    8. James R. Howe
      Pages 138-151

About this book

Introduction

Surgical Oncology: An Algorithmic Approach presents the full spectrum of current cancer treatment options available to the practicing general surgeon or trainee. Through the pairing of 4-color algorithms and concise, clinically oriented text, the reader can quickly visualize and understand the decision-making process. Separate algorithmic branches highlight surgical treatment, adjuvant therapies such as chemotherapy and radiation therapy, as well as combined modality treatment. Over 90 chapters address organ systems from head to toe and tackle special topics, including oncologic emergencies (compromised airway, mental status changes, spinal cord compression), diagnostic and therapeutic challenges (occult axillary metastases, the jaundiced cancer patient, ascites), and surgical adjuncts (management of pain in the cancer patient, nutritional support, genetic counseling, when to withdraw therapy).
Two appendices will prove invaluable to the busy general surgeon - reviewing both the most commonly used chemotherapeutic agents and the principles of radiation oncology. More than 200 illustrations augment the textbook.
Surgical Oncology: An Algorithmic Approach is intended to be a useful, user-friendly reference for every general surgeon, surgical resident, surgical oncology fellow, and surgical oncologist. The book will also provide the medical oncologist with an up-to-date review of surgical procedures and the role of surgery in combined multimodality treatment.

Keywords

breast cancer cancer cancer treatment carcinoma chemotherapy gastric cancer general surgery metastasis nutrition oncology pain radiation oncology surgery surgical oncology tumor

Editors and affiliations

  • Theodore J. Saclarides
    • 1
    • 2
  • Keith W. Millikan
    • 1
    • 3
  • Constantine V. Godellas
    • 1
    • 4
  1. 1.Rush Medical CollegeChicagoUSA
  2. 2.Section of Colon and Rectal Surgery Department of General SurgeryRush-Presbyterian-St. Luke’s Medical CenterChicagoUSA
  3. 3.Nutrition Consultation Service Department of General SurgeryRush-Presbyterian-St. Luke’s Medical CenterChicagoUSA
  4. 4.Department of General SurgeryRush-Presbyterian-St. Luke’s Medical CenterChicagoUSA

Bibliographic information

  • DOI https://doi.org/10.1007/b97502
  • Copyright Information Springer-Verlag New York, Inc. 2003
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-387-95201-7
  • Online ISBN 978-0-387-21701-7
  • About this book