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       IM Publications :: NIR Spectroscopy :: Identification of Human Breast Cancer by NIR Spectroscopy and Radiorespirometry

 

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Identification of Human Breast Cancer by NIR Spectroscopy and Radiorespirometry
Identification of Human Breast Cancer by NIR Spectroscopy and Radiorespirometry 

NIR spectroscopy is finding increasing application in medical fields. This book demonstrates its use, alongside radiorespirometry, for the diagnosis of breast cancer.

Shou He Yan and Joëlle Wallon provide a fascinating insight into the background of breast cancer medicine from the viewpoints of both traditional Chinese (TCM) and Western medicine. They then provide an overview of NIR spectroscopy and describe their methodology for its use in breast cancer studies.

Further detail is provided on the use of NIR spectroscopy for breast cancer identification, classification and its diagnostic utility. They conclude with a description of radiorespirometry to aid their NIR investigations related to cancer aggressiveness.

Chapters

  • Human breast cancer: Background and introduction
  • NIR spectroscopy
  • Human breast cancer identification by classical NIR methods
  • Human breast cancer classification by NIR spectroscopy using multivariate data analysis procedures
  • Diagnostic evidence from NIR spectroscopy: Summary of studies and prospects
  • Study on 14C-glucose catabolism activity in breast tissues
  • Index
 
 
Contents

    Foreword
  • Preface
  • 1. Human breast cancer: Background and introduction
  • 1.1. Historical introduction to breast cancer
  • 1.2. The epidemiology and molecular biochemistry of breast cancer
  • 1.3. The major breast cancer types studied in this book
  • 1.4. Identification of cancerous aggressiveness: the SBR grading system
  • 1.5. References
  • 2. NIR spectroscopy
  • 2.1 NIR spectroscopy
  • 2.2 Instrumentation
  • 2.3. Experimental procedures of the NIR method
  • 2.4. References
  • 3. Human breast cancer identification by classical NIR methods
  • 3.1. Comparison between breast tissues types based on NIR spectral profiles
  • 3.2. The diagnostic value of the ten reference turning-points
  • 3.3. NIR calibration and prediction by using reference turning-point positions
  • 3.4. NIR calibration and prediction by using reference turning-point frequency
  • 3.5. Reference
  • 4. Human breast cancer classification by NIR spectroscopy using multivariate data analysis procedures
  • 4.1. Effects of pre-processing steps on NIR reference bands
  • 4.1.3. Decrease of incorrectly classified cases through pre-processing of NIR spectra
  • 4.2. Four reference bands selected by t- and F-tests
  • 4.3. Calibration and validation (prediction) set for multivariate analyses procedures
  • 4.4. Calibration and prediction using PCA and NLM methods
  • 4.5. Breast tumour identification by PCAand NLM maps for the reference bands B, C and D
  • 4.6. Conclusion
  • 4.7. References
  • 5. Diagnostic evidence from NIR spectroscopy:Summary of studies and prospects
  • 5.1. NIR diagnostic evidence
  • 5.2. Prospects for NIR classification of human breast tissue
  • 5.3. References
  • 6. Study on 14C-glucose catabolism activity in breast tissues
  • 6.1. Introduction
  • 6.2. Principle and application of radiorespirometry
  • 6.3. Preparation of breast tissue samples and their analysis by radiorespirometry
  • 6.4. Study of uniformly labelled (U)-14C-glucose catabolism activity in breast tissuesamples
  • 6.5. Studies using 1-14C and 6-14C labelled glucose catabolism activities in breast tissue samples
  • 6.6. Discussion on other cancer studies by using ratios of 1-14CO2:6-14CO2
  • 6.7. Conclusions
  • 6.8. Perspectives
  • 6.9. References
  • Index


Details
 
Author Shou He Yan and Joëlle Wallon
Binding Hardback
Published November 2009
No. Pages xiii + 209
Availability In stock for immediate despatch

Price:

£56.00

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