Quantitative Imaging Tools for Lung Cancer Drug Assessment

Herausgegeben:Mulshine, James L.; Baer, Thomas M.

• Gebundenes Buch

Produktbeschreibung

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.

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Produktdetails

• Verlag: Wiley & Sons
• 1. Auflage
• Seitenzahl: 176
• Erscheinungstermin: 1. April 2008
• Englisch
• Abmessung: 233mm x 164mm x 17mm
• Gewicht: 430g
• ISBN-13: 9780470118801
• ISBN-10: 0470118806
• Artikelnr.: 23495827

Autorenporträt

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.

Inhaltsangabe

Preface (Thomas M. Baer and James L. Mulshine).
Chapter 1: Incorporating Imaging into Drug Development: An Industry
Perspective (Philip S. Murphy and Debasish Roychowdhury).
Chapter 2: Developing Imaging Tools for Drug Development: Critical
Technology, Clinical Data and Regulatory (Rafal Dziadziuszko, Fred R.
Hirsch and Paul A. Bunn, Jr).
Chapter 3: Quantitative Imaging in CT Lung Cancer Drug Development and
Evaluation (Ricardo S. Avila).
Chapter 4: Volumetric CT Imaging for Response Assessment in Lung Cancer: A
Platform for Translational Research (Binsheng Zhao and Lawrence H.
Scwhartz).
Chapter 5: Emerging Radiological Software Standards and Development
Technologies: Impact on Clinical Translation and Trials (John Pearson,
Lawrence Tarbox, Gianluca Paladini, John G. Wolodzko, Paula M. Jacobs, and
Zhenghong Lee).
Chapter 6: Statistical Considerations Underlying Therapeutic Response
Criteria for Lung Cancer: A Review in the Context of Emergence of
Multi-Slice CT Scanner and Computer Assisted Diagnostic Algorithm for
Volumetric Assessment (Madhu Mazumdar and Xi Kathy Zhou).
Chapter 7: Programs Supporting Quantitative Imaging in Biomedicine at the
National Institute for Standards and Technology (Thomas M. Baer and Charles
W. Clark).
Appendix A: Evolving Imaging Resources: Public Access Databases (Laurence
Clarke).
Appendix B: Biomedical Imaging Archive Network (Thomas M. Baer and James L.
Mulshine).
Appendix C: Developing CT Image-Processing Tools to Accelerate Progress in
Lung Cancer Drug Development (James L. Mulshine, Ricardo S. Avila, Fred R.
Hirsch, and David Yankelevitz).