期刊
OPTICS EXPRESS
卷 22, 期 21, 页码 25895-25908出版社
OPTICAL SOC AMER
DOI: 10.1364/OE.22.025895
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资金
- Medical Research Foundation of Guangdong Province [A2014466]
- Doctor Start Fund of Guangdong Medical College [XB1407]
- National Natural Science Foundation of China [61335011, 61275187, 31300691]
- Specialized Research Fund for the Doctoral Program of Higher Education of China [20114407110001]
- Natural Science Foundation of Guangdong Province [9251063101000009]
- Cooperation Project in Industry, Education and Research of Guangdong province [2011A090200011]
- Ministry of Education of China [2011A090200011]
This study aims to detect colorectal cancer with near-infrared Raman spectroscopy and feature selection techniques. A total of 306 Raman spectra of colorectal cancer tissues and normal tissues are acquired from 44 colorectal cancer patients. Five diagnostically important Raman bands in the regions of 815-830, 935-945, 1131-1141, 1447-1457 and 1665-1675cm(-1) related to proteins, nucleic acids and lipids of tissues are identified with the ant colony optimization (ACO) and support vector machine (SVM). The diagnostic models built with the identified Raman bands provide a diagnostic accuracy of 93.2% for identifying colorectal cancer from normal Raman spectroscopy. The study demonstrates that the Raman spectroscopy associated with ACO-SVM diagnostic algorithms has great potential to characterize and diagnose colorectal cancer. (C) 2014 Optical Society of America
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