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Cancer Discrimination Using Fourier Transform Near-Infrared Spectroscopy with Chemometric Models
Joint Authors
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-07
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Near-infrared (NIR) spectroscopy technique offers many potential advantages as tool for biomedical analysis since it enables the subtle biochemical signatures related to pathology to be detected and extracted.
In conjunction with advanced chemometrics, NIR spectroscopy opens the possibility of their use in cancer diagnosis.
The study focuses on the application of near-infrared (NIR) spectroscopy and classification models for discriminating colorectal cancer.
A total of 107 surgical specimens and a corresponding NIR diffuse reflection spectral dataset were prepared.
Three preprocessing methods were attempted and least-squares support vector machine (LS-SVM) was used to build a classification model.
The hybrid preprocessing of first derivative and principal component analysis (PCA) resulted in the best LS-SVM model with the sensitivity and specificity of 0.96 and 0.96 for the training and 0.94 and 0.96 for test sets, respectively.
The similarity performance on both subsets indicated that overfitting did not occur, assuring the robustness and reliability of the developed LS-SVM model.
The area of receiver operating characteristic (ROC) curve was 0.99, demonstrating once again the high prediction power of the model.
The result confirms the applicability of the combination of NIR spectroscopy, LS-SVM, PCA, and first derivative preprocessing for cancer diagnosis.
American Psychological Association (APA)
Chen, Hui& Lin, Zan& Tan, Chao. 2015. Cancer Discrimination Using Fourier Transform Near-Infrared Spectroscopy with Chemometric Models. Journal of Chemistry،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1067546
Modern Language Association (MLA)
Chen, Hui…[et al.]. Cancer Discrimination Using Fourier Transform Near-Infrared Spectroscopy with Chemometric Models. Journal of Chemistry No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1067546
American Medical Association (AMA)
Chen, Hui& Lin, Zan& Tan, Chao. Cancer Discrimination Using Fourier Transform Near-Infrared Spectroscopy with Chemometric Models. Journal of Chemistry. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1067546
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1067546