Diagnosis of colon cancer with fourier transform infrared spectroscopy on the malignant colon tissue samples

Chinese Medical Journal

Volumn 124, Issue 16, 2011, Pages 2517-2521

  Xie, Yi Bin ^a   Liu, Qian ^a   He, Fei ^b   Guo, Chun Guang ^a   Wang, Cheng Feng ^a   Zhao, Ping ^a  

^a CANCER HOSPITAL   (China)

^b CHINA AGRICULTURAL UNIVERSITY   (China)

Author keywords

Colon cancer; Diagnosis; Fourier transform infrared spectroscopy; Principal component analysis; Support vector machines

Indexed keywords

ADULT; AGED; ARTICLE; CANCER CLASSIFICATION; CANCER DIAGNOSIS; CANCER TISSUE; COLON CANCER; CONTROLLED STUDY; DIAGNOSTIC VALUE; FEMALE; HUMAN; HUMAN TISSUE; INFRARED SPECTROSCOPY; INSTRUMENT VALIDATION; MALE; MATHEMATICAL MODEL; PRINCIPAL COMPONENT ANALYSIS; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; TISSUE CHARACTERIZATION;

AGED; COLONIC NEOPLASMS; FEMALE; HUMANS; MALE; MIDDLE AGED; PRINCIPAL COMPONENT ANALYSIS; SENSITIVITY AND SPECIFICITY; SPECTROSCOPY, FOURIER TRANSFORM INFRARED; SUPPORT VECTOR MACHINES;

EID: 80051982713     PISSN: 03666999     EISSN: None     Source Type: Journal    
DOI: 10.3760/cma.j.issn.0366-6999.2011.16.022     Document Type: Article

References (20)

1. Wang HQ, Qian ZZ, Liu XM, Zhang HL, Li LF, Qiu LH, et al. Capecitabine combined with weekly docetaxel in Chinese patients > 65 years with anthracycline-resistant metastatic breast cancer. Chin Med J 2010; 123: 3212-3216.
2. WHO. Cancer. http://www.who.int/mediacentre/factsheets/fs297/en/.
3. Liang JW, Dong SX, Zhou ZX, Tian YT, Zhao DB, Wang CF, et al. Surgical management for carcinoma of the gallbladder: a single-institution experience in 25 years. Chin Med J 2008; 121: 1900-1905.
4. Wang H, Cao FA, Gong HF, Zheng JM, Fu CG. Could tumor characteristics identified by colonoscopy predict the locally advanced rectal carcinoma? Chin Med J 2010; 123: 2353-2357.
5. Wood BR, Chiriboga L, Yee H, Quinn MA, McNaughton D, Diem M. Fourier transform infrared (FT-IR) spectral mapping of the cervical transformation zone, and dysplastic squamous epithelium. Gynecol Oncol 2004; 93: 59-68.
6. Maziak DE, Do MT, Shamji FM, Sundaresan SR, Perkins DG, Wong PT. Fourier-transform infrared spectroscopic study of characteristic molecular structure in cancer cells of esophagus: an exploratory study. Cancer Detect Prev 2007; 31: 244-253.
7. Ghosal R, Lewis KEL, Kloer P. Using Fourier transform infrared (FT-IR) spectroscopy to evaluate metabolic markers in sputum in patients with and without lung cancer. Lung Cancer 2008; 60 (Suppl 1): S11.
8. Meurens M, Wallon J, Tong JS, Noël H, Haot J. Breast cancer detection by Fourier transform infrared spectrometry. Vibra Spectrosc 1996; 10: 341-346.
9. Xu YZ, Zhang YF, Yang LM. In vivo and rapid detection of the malignancy tumor of oral tissues using Mid-FT-IR Fiber Optics Spectroscopy. Chem Res Chin Univ 2004; 2: 348-350.
10. Roggo Y, Chalus P, Maurer L, Lema-Martinez C, Edmond A, Jent N. A review of near infrared spectroscopy and chemometrics in pharmaceutical technologies. J Pharm Biomed Anal 2007; 44: 683-700.
11. Jolliffe IT. Principal component analysis, series: Springer series in statistics. 2nd ed. New York: Springer; 2002: 28.
12. Miranda AA, Le Borgne YA, Bontempi G. New routes from minimal approximation error to principal components. Neural Process Lett 2008; 27: 197-207.
13. Ding C, He X. K-means clustering via principal component analysis. Proceedings of Internationl Confefence of Machine Learning (ICML 2004) 2004; 225-232.
14. Gómez Martín JC, Spietz P, Orphal J, Burrows JP. Principal and independent components analysis of overlapping spectra in the context of multichannel time-resolved absorption spectroscopy. Spectrochim Acta A Mol Biomol Spectrosc 2004; 60: 2673-2693.
15. Im HJ, Song BC, Park YJ, Song K. Classification of materials for explosives from prompt gamma spectra by using principal component analysis. Appl Radiat Isot 2009; 67: 1458-1462.
16. Kim S, Kim J, Zhang BT. Ensembled support vector machines for human papillomavirus risk type prediction from protein secondary structures. Comput Biol Med 2009; 39: 187-193.
17. Xie LJ, Ying YB, Ying TJ. Classification of tomatoes with different genotypes by visible and short-wave near-infrared spectroscopy with least-squares support vector machines and other chemometrics. J Food Eng 2009; 94: 34-39.
18. Zhao J, Chen Q, Huang X, Fang CH. Qualitative identification of tea categories by near infrared spectroscopy and support vector machine. J Pharm Biomed Anal 2006; 41: 1198-1204.
19. Langeron Y, Doussot M, Hewson DJ, Duchêne J. Classifying NIR spectra of textile products with kernel methods. Eng App Art Intel 2007; 20: 415-427.
20. Li QB, Sun XJ, Xu YZ, Yang LM, Zhang YF, Weng SF, et al. Diagnosis of gastric inflammation and malignancy in endoscopic biopsies based on Fourier transform infrared spectroscopy. Clin Chem 2005; 51: 346-350.