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Oncologic Imaging: A Multidisciplinary Approach, 1st Edition

Author :
Edited by Paul M. Silverman, MD
Here’s the multidisciplinary guidance you need for optimal imaging of malignancies. Radiologists, surgeons, medical oncologists, and radiation oncologists offer state-of-the-art guidelines for diagnosis, staging, and surveillance, equipping all mem ...view more

Here’s the multidisciplinary guidance you need for optimal imaging of malignancies. Radiologists, surgeons, medical oncologists, and radiation oncologists offer state-of-the-art guidelines for diagnosis, staging, and surveillance, equipping all members of the cancer team to make the best possible use of today’s noninvasive diagnostic tools.

ISBN :
9781437722321
Publication Date :
22-06-2012
Stock Status :
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Here’s the multidisciplinary guidance you need for optimal imaging of malignancies. Radiologists, surgeons, medical oncologists, and radiation oncologists offer state-of-the-art guidelines for diagnosis, staging, and surveillance, equipping all members of the cancer team to make the best possible use of today’s noninvasive diagnostic tools.


Key Features
  • Consult with the best. Dr. Paul M. Silverman and more than 100 other experts from MD Anderson Cancer Center provide you with today's most dependable answers on every aspect of the diagnosis, treatment, and management of the cancer patient.
  • Recognize the characteristic presentation of each cancer via current imaging modalities and understand the clinical implications of your findings.
  • Effectively use traditional imaging modalities such as Multidetector CT (MDCT), PET/CT, and MR in conjunction with the latest advances in molecular oncology and targeted therapies.
  • Find information quickly and easily thanks to a consistent, highly templated format complete with "Key Point" summaries, algorithms, drawings, and full-color staging diagrams.
  • Make confident decisions with guidance from comprehensive algorithms for better staging and imaging evaluation.
  • Access the fully searchable text online, along with high-quality downloadable images for use in teaching and lecturing and online-only algorithms, at expertconsult.com.


Author Information
Edited by Paul M. Silverman, MD, Professor of Radiology, Retired and Gerald D. Dodd, Jr., Distinguished Chair and Director of Academic Development for Diagnostic Imaging, Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas