AIP Conference Proceedings 2008
DOI: 10.1063/1.3046195
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Diagnosis of Breast Cancer Based on FT-IR Spectroscopy

Abstract: Articles you may be interested inGrazing incidence angle based sensing approach integrated with fiber-optic Fourier transform infrared (FO-FTIR) spectroscopy for remote and label-free detection of medical device contaminations Rev. Sci. Instrum.A matrix isolation FT-IR and quasirelativistic density functional theory investigation of the reaction products of laser-ablated uranium atoms with NO, NO 2 and N 2 O Abstract. Breast cancer is one of the most important malignant forms of cancer and a great threat to li… Show more

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Cited by 12 publications
(14 citation statements)
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“…are arising from C-OH stretching vibrations of collagen carbohydrate moieties, C-N stretching vibrations of the collagen backbone and CH 2 wagging vibrations of collagen side chains (Li et al 2002, Venkatachalam et al 2008. In addition to lipids, proteins and nucleic acids, carbohydrates are also presented in all cells.…”
Section: Results Of Ftir Spectroscopymentioning
confidence: 99%
“…are arising from C-OH stretching vibrations of collagen carbohydrate moieties, C-N stretching vibrations of the collagen backbone and CH 2 wagging vibrations of collagen side chains (Li et al 2002, Venkatachalam et al 2008. In addition to lipids, proteins and nucleic acids, carbohydrates are also presented in all cells.…”
Section: Results Of Ftir Spectroscopymentioning
confidence: 99%
“…13 FTIR spectroscopy has been widely applied in various research studies including plants, 14,15 animals, 16–18 microorganisms, 19,20 food 21–23 and human diseases, 24–26 for various types of samples including serum, 27,28 urine, 29,30 cell lines, 31 and tissue sections. 32,33 Although a wide range of biological studies have been covered by FTIR spectroscopy, most of the analyses are based on the full spectrum, peak frequency shift 34 and intensity of the bands, 35,36 the relative ratios 37–39 of the vibrating groups and so on, 40 while in this study, we found that the similarity of the full spectrum between the HCC foci and the paracancerous tissue makes it difficult to identify the groups by some machine learning techniques, and hence, the peak areas of the spectra were calculated and selected as the features to perform the classification models of k -nearest neighbor (KNN), random forest (RF) and support vector machine (SVM). These models were evaluated through 5-fold cross-validation, and the index of precision, recall and F 1-score were used to characterize the performance.…”
Section: Introductionmentioning
confidence: 90%
“…The transformation of the interferogram into spectrum is carried out mathematically with a dedicated online computer [6], FT-IR has shown as a sensitive diagnostic tool to distinguish cancerous from normal tissues in colon [7], prostate [8], breast [9], cervical [10], gastric [11], oral [12] and esophageal [13], bladder [14]. The purpose of this study is to assess the possibility of using Fourier transform infrared spectroscopy (FT-IR) as a diagnostic tool for cancer detection by observing the biochemical changes between tumour and normal cells within a wavenumber range known as the "fingerprint region" (encompassing 1800 to 950 cm -1 ) [15] to distinguish between normal (N) and abnormal breast tissues, and to classify the abnormal tissues in different subtypes such as hyperplasia (H) and fibroadenoma (F) as a benign tissues, and ductal carcinoma (DC) as a malignant tissues.…”
Section: Introductionmentioning
confidence: 99%