Quantitative Imaging Tools for Lung Cancer Drug Assessment

Author:   James L. Mulshine (Rush University Medical Center in Chicago) ,  Thomas M. Baer
Publisher:   John Wiley & Sons Inc
ISBN:  

9780470118801


Pages:   176
Publication Date:   20 May 2008
Format:   Hardback
Availability:   In stock   Availability explained
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Quantitative Imaging Tools for Lung Cancer Drug Assessment


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Overview

Presents chapters written by leading clinical researchers in the field of lung cancer, where high resolution 3-D imaging technology appears to hold the greatest near-term promise, as well as contributions from recognized experts in CAD, medical information technology systems, regulatory procedure, x-ray standards development, and clinical trial design. These expert contributors discuss the current state of the art and provide a road map for directing further research in lung cancer as well as other organ systems.

Full Product Details

Author:   James L. Mulshine (Rush University Medical Center in Chicago) ,  Thomas M. Baer
Publisher:   John Wiley & Sons Inc
Imprint:   Wiley-OSA
Dimensions:   Width: 16.30cm , Height: 1.70cm , Length: 24.10cm
Weight:   0.426kg
ISBN:  

9780470118801


ISBN 10:   0470118806
Pages:   176
Publication Date:   20 May 2008
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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James L. Mulshine, MD, is a Professor of Internal Medicine, Associate Provost of Research and Vice President, Rush University Medical Center in Chicago, Illinois.?In this position, Dr. Mulshine is the primary academic officer responsible for managing research activities at Rush University Medical School. He is an internationally recognized expert on lung cancer.?Over the last few years, Dr. Mulshine has been working with a range of organizations to accelerate the use of high resolution spiral CT in the quantitative evaluation of drug response for early lung cancer.

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