Recognition of disease-specific patterns in FT-IR spectra of human sera

Wolfgang H. Petrich; Brion Dolenko; Johanna Frueh; Helmut Greger; Stephan Jacob; Franz Keller; Alexander Nikulin; Matthias Otto; Ortrud Quarder; Raymond L. Somorjai; Arnulf Staib; Gerhard H. Werner; Hans Wielinger

doi:10.1117/12.384942

8 May 2000 Recognition of disease-specific patterns in FT-IR spectra of human sera

Wolfgang H. Petrich, Brion Dolenko, Johanna Frueh, Helmut Greger, Stephan Jacob, Franz Keller, Alexander Nikulin, Matthias Otto, Ortrud Quarder, Raymond L. Somorjai, Arnulf Staib, Gerhard H. Werner, Hans Wielinger

Author Affiliations +

Proceedings Volume 3918, Biomedical Spectroscopy: Vibrational Spectroscopy and Other Novel Techniques; (2000) https://doi.org/10.1117/12.384942
Event: BiOS 2000 The International Symposium on Biomedical Optics, 2000, San Jose, CA, United States

Abstract

Vibrational spectra in the mid-IR region show significant and reproducible correlation with the disease state of the blood donor. When focusing our 'disease pattern recognition (DPR)' approach onto the example of diabetes mellitus we can clearly separate samples obtained from healthy volunteers from those samples which organized from diabetes patients. Furthermore, we are able to differentiate between samples of type-1 diabetics and type-2 diabetics. For disease pattern recognition we use linear and/or regularized discriminant analysis. In a binary, supervised classification of an pair of the three disease states: healthy, diabetes type-1 and diabetes type-2, we consistently achieve sensitivities and specificities >= 80 percent. By setting stricter bounds on the range of acceptable probabilities of belonging to a certain class, we obtain even higher values for the sensitivity and the specificity on the expense of the fraction of 'crisply' classified samples. Since we are able to simultaneously quantify the concentrations of biochemical serum components like glucose, cholesterol and triglycerides from the identical set of spectra with regression coefficients > 90 percent, our approach allows for a direct cross-link between the molecule-based and the disease-based interpretation of the spectra.

Citation Download Citation

Wolfgang H. Petrich, Brion Dolenko, Johanna Frueh, Helmut Greger, Stephan Jacob, Franz Keller, Alexander Nikulin, Matthias Otto, Ortrud Quarder, Raymond L. Somorjai, Arnulf Staib, Gerhard H. Werner, and Hans Wielinger "Recognition of disease-specific patterns in FT-IR spectra of human sera", Proc. SPIE 3918, Biomedical Spectroscopy: Vibrational Spectroscopy and Other Novel Techniques, (8 May 2000); https://doi.org/10.1117/12.384942

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available