Distinguishing malignant from normal oral tissues using FTIR fiber‐optic techniques

Wu, Jin; Xu, Yi; Sun, Cuan Wen; Soloway, Roger D.; Xu, Duan Fu; Wu, Qi; Sun, K.; Weng, S.‐F.; Xu, Guanghui

doi:10.1002/bip.1013

Cited by 111 publications

(52 citation statements)

References 15 publications

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“…8,11,[34][35][36][37][38][39][40][41][42][43][44] Our data is confirmatory, and, in addition, demonstrates changes in the tumor bed, which probably represent the detection of chemical signs of preneoplastic changes.…”

Section: Discussionsupporting

confidence: 67%

Raman spectroscopy can differentiate malignant tumors from normal breast tissue and detect early neoplastic changes in a mouse model

et al. 2007

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Raman spectroscopy shows potential in differentiating tumors from normal tissue. We used Raman spectroscopy with near‐infrared light excitation to study normal breast tissue and tumors from 11 mice injected with a cancer cell line. Spectra were collected from 17 tumors, 18 samples of adjacent breast tissue and lymph nodes, and 17 tissue samples from the contralateral breast and its adjacent lymph nodes. Discriminant function analysis was used for classification with principal component analysis scores as input data. Tissues were examined by light microscopy following formalin fixation and hematoxylin and eosin staining. Discriminant function analysis and histology agreed on the diagnosis of all contralateral normal, tumor, and mastitis samples, except one tumor which was found to be more similar to normal tissue. Normal tissue adjacent to each tumor was examined as a separate data group called tumor bed. Scattered morphologically suspicious atypical cells not definite for tumor were present in the tumor bed samples. Classification of tumor bed tissue showed that some tumor bed tissues are diagnostically different from normal, tumor, and mastitis tissue. This may reflect malignant molecular alterations prior to morphologic changes, as expected in preneoplastic processes. Raman spectroscopy not only distinguishes tumor from normal breast tissue, but also detects early neoplastic changes prior to definite morphologic alteration. © 2007 Wiley Periodicals, Inc. Biopolymers 89: 235–241, 2008. This article was originally published online as an accepted preprint. The “Published Online”date corresponds to the preprint version. You can request a copy of the preprint by emailing the Biopolymers editorial office at biopolymers@wiley.com

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Section: Discussionsupporting

confidence: 67%

Raman spectroscopy can differentiate malignant tumors from normal breast tissue and detect early neoplastic changes in a mouse model

et al. 2007

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“…22 Fourier transform infrared spectroscopy (FTIR) can also be used in spectroscopic discrimination and imaging of biological cells and tissues. [23][24][25][26][27][28][29] We have also developed a proteomics method for early detection and diagnosis of oral malignancy based on protein profiles of serum, saliva, and tissue homogenate samples using high performance liquid chromatography coupled to laser-induced fluorescence (HPLC-LIF) detection. 30 The work has shown that a large number of new proteins are present in serum and tissue samples in malignancy, supporting our Raman spectra results.…”

Section: Introductionmentioning

confidence: 99%

“…To carry out these measurements, IR absorption methods require special techniques like attenuated total reflectance (ATR) to probe transmitted radiation. 26 Dehydrated samples are often employed to eliminate interference from tissue water and this is likely to produce major changes in the spectra. 24 The method obviously cannot be applied in vivo.…”

Section: Introductionmentioning

confidence: 99%

Discrimination of normal, inflammatory, premalignant, and malignant oral tissue: A Raman spectroscopy study

et al. 2005

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Optical spectroscopy methods are fast emerging as potential alternatives for early diagnosis of cancer. A Raman spectroscopy method for discrimination of normal and malignant oral tissues has been developed by us earlier. It is necessary to evaluate and establish the validity of the approach before it can be routinely used. In the present study, our Raman spectroscopy investigations are extended further to evaluate the efficacy of the technique to discriminate between normal, inflammatory, premalignant, and malignant conditions in oral tissue. Spectral profiles of normal, malignant, premalignant, and inflammatory conditions show pronounced differences between one another. Spectra of normal tissues can be attributed mainly to lipids whereas pathological tissue spectra are dominated by proteins. Principal components analysis (PCA) of the spectral data sets belonging to the four different categories showed that scores of factors differentiated between

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“…The technique also has promising potential for detecting early cancer. Our research group has successfully used FT-IR spectroscopy to diagnose multiple kinds of carcinoma, such as stomach, colon, liver, esophagus, lung, gallbladder, breast, and parotid gland (12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24).…”

mentioning

confidence: 99%

Diagnosis of Gastric Inflammation and Malignancy in Endoscopic Biopsies Based on Fourier Transform Infrared Spectroscopy

Sun

et al. 2005

Clinical Chemistry

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Background: Fourier transform infrared (FT-IR) spectroscopy is an effective tool for investigation of chemical changes at the molecular level. We previously demonstrated that FT-IR spectroscopy can reliably distinguish multiple types of carcinoma from healthy tissue. Because various stomach diseases are common, it is important to explore a noninvasive and rapid method to detect malignancy and gastritis in endoscopic biopsies. Our aim was to classify endoscopic biopsies into healthy, gastritis, and malignancy through the use of FT-IR spectroscopy. Methods: A total of 103 endoscopic samples, including 19 cases of cancer, 35 cases of chronic atrophic gastritis, 29 cases of chronic superficial gastritis, and 20 healthy tissue samples, were obtained at the First Hospital of Xi'an Jiaotong University, China. A modified attenuated total reflectance accessory was linked to a WQD-500 FT-IR spectrometer for biopsy measurement. The spectral characteristics for different types of tissues were correlated with the corresponding pathology results. The gastric biopsies were classified by FT-IR spectroscopy and a discriminant analysis method. Results: There were significant differences in the FT-IR spectra of four types of gastric biopsies. The discriminant analysis results demonstrated that the sensitivity of FT-IR detection for healthy, superficial gastritis, atrophic gastritis, and gastric cancer was 90%, 90%, 66%,

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Distinguishing malignant from normal oral tissues using FTIR fiber‐optic techniques

Cited by 111 publications

References 15 publications

Raman spectroscopy can differentiate malignant tumors from normal breast tissue and detect early neoplastic changes in a mouse model

Raman spectroscopy can differentiate malignant tumors from normal breast tissue and detect early neoplastic changes in a mouse model

Discrimination of normal, inflammatory, premalignant, and malignant oral tissue: A Raman spectroscopy study

Diagnosis of Gastric Inflammation and Malignancy in Endoscopic Biopsies Based on Fourier Transform Infrared Spectroscopy

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