Use of fibre optic probes for detection of Barrett’s epithelium in the rat oesophagus by Raman spectroscopy

Boere, I.A; Schut, Tom C. Bakker; Boogert, Jolanda van den; Bruin, Ron W. F. de; Puppels, Gerwin J.

doi:10.1016/s0924-2031(03)00046-8

Cited by 48 publications

(38 citation statements)

References 22 publications

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“…Raman spectra of the rat esophagus were collected ex-vivo with three different fiberoptic probes in order to mimic instrument calibration, probe-to-probe and day-to-day variations [18]. Raman spectra of the rat palate were collected even under in-vivo conditions [16].…”

Section: Tumors Of Epithelial Tissuementioning

confidence: 99%

Disease recognition by infrared and Raman spectroscopy

Krafft¹,

Steiner²,

Beleites³

et al. 2009

Journal of Biophotonics

263

175

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Infrared (IR) and Raman spectroscopy are emerging biophotonic tools to recognize various diseases. The current review gives an overview of the experimental techniques, data-classification algorithms and applications to assess soft tissues, hard tissues and body fluids. The methodology section presents the principles to combine vibrational spectroscopy with microscopy, lateral information and fiber-optic probes. A crucial step is the classification of spectral data by a variety of algorithms. We discuss unsupervised algorithms such as cluster analysis or principal component analysis and supervised algorithms such as linear discriminant analysis, soft independent modeling of class analogies, artificial neural networks support vector machines, Bayesian classification, partial least-squares regression and ensemble methods. The selected topics include tumors of epithelial tissue, brain tumors, prion diseases, bone diseases, atherosclerosis, kidney stones and gallstones, skin tumors, diabetes and osteoarthritis.

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Section: Tumors Of Epithelial Tissuementioning

confidence: 99%

Disease recognition by infrared and Raman spectroscopy

Krafft¹,

Steiner²,

Beleites³

et al. 2009

Journal of Biophotonics

263

175

View full text Add to dashboard Cite

show abstract

“…The spectral changes are unique and specific for the given sample; hence, they are called fingerprints and thereby Raman spectroscopy has proved highly specific and sensitive compared to other spectroscopic analysis in the biomedical field (3,6). Diagnosing diseased tissue is limited not only to external tumors but with the introduction of specially designed miniature fiber optical probes, the technique can be employed to diagnose pathologies of the oral cavity, gastrointestinal tract, brain tissue, and ocular tissue (5,(7)(8)(9)(10)(11)(12)(13)(14). Other advantages of Raman spectroscopy are that the technique is noninvasive, nondestructive, and simple and the results obtained are reproducible (1) and require minimal or no sample preparation (1,6).…”

Section: Introductionmentioning

confidence: 99%

Applications of Raman Spectroscopy in Dentistry: Analysis of Tooth Structure

Ramakrishnaiah

Rehman

Basavarajappa

et al. 2014

Applied Spectroscopy Reviews

115

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“…In recent years, near-infrared (NIR) Raman spectroscopy has shown promising results for the pointwise diagnosis and characterization of disease progression in various organs (e.g., gastrointestinal tracts, [4][5][6][7][8][9][10][11][12][13] oral cavity, 14 nasopharynx 15,16 , larynx, 15,[17][18][19] lung, 20 cervix, 21,22 bladder, 23 skin, 24,25 and breast 26 ) with high biomolecular specificity. To date, NIR Raman spectroscopic studies on the nasopharynx and larynx have been limited to in vitro tissue Raman measurements due to the lengthy data acquisition times, as well as technical challenges in making miniaturized flexible fiber-optic Raman probes with high collection efficiencies while also effectively eliminating interferences from fluorescence and silica Raman signals.…”

Section: Introductionmentioning

confidence: 99%

In vivo, real-time, transnasal, image-guided Raman endoscopy: defining spectral properties in the nasopharynx and larynx

et al. 2012

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Abstract. We report for the first time the implementation of transnasal, image-guided Raman endoscopy to directly assess Raman spectral properties of nasopharyngeal and laryngeal tissue in vivo during clinical endoscopic examinations. A rapid 785-nm excitation Raman endoscopy system, coupled with a miniaturized fiber-optic Raman probe, was utilized for real-time, in vivo Raman measurements of different anatomical locations in the head and neck. A total of 874 high-quality in vivo Raman spectra were successfully acquired from different anatomic locations of the nasopharynx and larynx [i.e., posterior nasopharynx (PN) (n ¼ 521), the fossa of Rosenmüller (FOR) (n ¼ 157), and true laryngeal vocal chords (LVC) (n ¼ 196)] in 23 normal subjects at transnasal endoscopy. Difference spectra and principal component analysis (PCA) were employed for tissue characterization, uncovering the tissue variability at the biomolecular level. The PCA-linear discriminant analysis (LDA) provides sensitivity of 77.0% and specificity of 89.2% for differentiation between PN and FOR, and sensitivity of 68.8% and specificity of 76.0% for distinguishing LVC and PN using the leave-one-subject-out, cross-validation method. This work demonstrates that transnasal, image-guided Raman endoscopy can be used to acquire in vivo Raman spectra from the nasopharynx and larynx in real time. Significant Raman spectral differences (p < 0.05) identified as reflecting the distinct composition and morphology in the nasopharynx and larynx should be considered to be important parameters in the interpretation and rendering of diagnostic decision algorithms for in vivo tissue diagnosis and characterization in the head and neck.

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Use of fibre optic probes for detection of Barrett’s epithelium in the rat oesophagus by Raman spectroscopy

Cited by 48 publications

References 22 publications

Disease recognition by infrared and Raman spectroscopy

Disease recognition by infrared and Raman spectroscopy

Applications of Raman Spectroscopy in Dentistry: Analysis of Tooth Structure

In vivo, real-time, transnasal, image-guided Raman endoscopy: defining spectral properties in the nasopharynx and larynx

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