In vivo detection of epithelial neoplasia in the stomach using image-guided Raman endoscopy

Huang, Zhiwei; Teh, Seng Khoon; Zheng, Wei; Lin, Kan; Ho, Khek Yu; Teh, Ming; Yeoh, Khay Guan

doi:10.1016/j.bios.2010.07.125

Cited by 95 publications

(86 citation statements)

References 26 publications

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“…8,[21][22][23] Briefly, the Raman endoscopy system consists of a spectrum stabilized 785 nm diode laser (maximum output: 300 mW, B&W TEK Inc., Newark, DE), a transmissive imaging spectrograph (Holospec f/1.8, Kaiser Optical Systems) equipped with a liquid-nitrogen cooled, NIR-optimized, backilluminated, and deep depletion charge-coupled device (CCD) camera (1340×400 pixels at 20×20 μm per pixel; Spec-10: 400BR/LN, Princeton Instruments), and a specially designed 1.8-mm Raman endoscopic probe for both laser light delivery and in vivo tissue Raman signal collection. The novel Raman probe is composed of 32 collection fibers surrounding the central light delivery fiber with two stages of optical filtering incorporated at the proximal and distal ends of the probe for maximizing the collection of tissue Raman signals while reducing the interference of Rayleigh scattered light, fiber fluorescence, and silica Raman signals.…”

Section: Raman Endoscopy Instrumentationmentioning

confidence: 99%

“…and pure biochemicals has been extensively employed to gain better understanding of distinctive tissue constituents associated with pathologic changes. 18,23 In this work, a semiquantitative model of in vivo tissue Raman spectra is rendered based on a priori insight of inter-/intra-cellular constituents using a linear combination [i.e., NNCLSM] 23 of basis Raman spectra that represent the main biochemical constituents in GI tract. Of over 35 basis reference Raman spectra obtained from different biomolecules associated with GI tissue (e.g., actin, albumin, pepsin, pepsinogen, B-NADH, RNA, DNA, myosin, hemoglobin, collagen I, collagen II, collagen V, mucin 1, mucin 2, mucin 3, flavins, elastin, phosphatidylcholine, cholesterol, glucose, glycogen, triolein, histones, beta-carotene, etc.…”

Section: Biomolecular Modelingmentioning

confidence: 99%

“…[6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25] NIR Raman spectroscopy is a nondestructive, inelastic light scattering technique in which the incident laser light is shifted in frequencies depending on the specific vibrational frequencies of molecules in tissue. The Raman spectra of biological tissues reflect specific biochemical structures and conformations (i.e., biochemical signatures) of tissue, providing the unique opportunity to distinguish between different tissue types.…”

Section: Introductionmentioning

confidence: 99%

“…8 Very recently, we have successfully developed a high throughput image-guided (i.e., WLR/NBI/AFI) Raman endoscopic technique coupled with a 1.8 mm fiber optic Raman probe that fits into the instrumental channel of conventional medical endoscopes for realizing real-time, in vivo tissue Raman measurements. 8 Consequently, the in vivo Raman endoscopic detection of gastric dysplasia, 22 neoplasia, 23,24 and differential diagnosis between benign and malignant ulcers 25 have been demonstrated with success. However, as the histological profiles and morphologies of distinctive anatomical regions in the upper GI tract (i.e., esophagus and gastric) are highly functionally specialized and exhibit significant variations in architectural properties and cell types (e.g., tissue thickness variability, distinct glandular types, secretion products, vascularity, etc.…”

Section: Introductionmentioning

confidence: 99%

“…), 6-11, 13, 15-23, 26, 27 our NNCLSM modeling indicate that the following five biochemicals, i.e., actin (A3653), histones (H6005), collagen type I (C9879), DNA (P4522), and triolein (T7140) (Sigma, St Louis, MO), were the most significant Raman-active biochemical constituents that can effectively characterize gastric and esophageal (normal and cancerous) tissue with very small fit-residuals. 23 For instance, DNA represents nucleic acids within the cell nucleus; triolein represents typical lipid signals; actin and histones resembles Table 2 Tentative molecular vibrational and biochemical assignments (Refs. 9-11 and 14-17) of in vivo Raman spectra of esophageal and gastric tissues (ν, stretching mode; ν s , symmetric stretching mode; δ, bending mode).…”

Section: Biomolecular Modelingmentioning

confidence: 99%

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Characterizing variability in in vivo Raman spectra of different anatomical locations in the upper gastrointestinal tract toward cancer detection

et al. 2011

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Abstract. Raman spectroscopy is an optical vibrational technology capable of probing biomolecular changes of tissue associated with cancer transformation. This study aimed to characterize in vivo Raman spectroscopic properties of tissues belonging to different anatomical regions in the upper gastrointestinal (GI) tract and explore the implications for early detection of neoplastic lesions during clinical gastroscopy. A novel fiber-optic Raman endoscopy technique was utilized for real-time in vivo tissue Raman measurements of normal esophageal (distal, middle, and proximal), gastric (antrum, body, and cardia) as well as cancerous esophagous and gastric tissues from 107 patients who underwent endoscopic examinations. The non-negativity-constrained least squares minimization coupled with a reference database of Raman active biochemicals (i.e., actin, histones, collagen, DNA, and triolein) was employed for semiquantitative biomolecular modeling of tissue constituents in the upper GI. A total of 1189 in vivo Raman spectra were acquired from different locations in the upper GI. The Raman spectra among the distal, middle, and proximal sites of the esophagus showed no significant interanatomical variability. The interanatomical variability of Raman spectra among normal gastric tissue (antrum, body, and cardia) was subtle compared to cancerous tissue transformation, whereas biomolecular modeling revealed significant differences between the two organs, particularly in the gastroesophageal junction associated with proteins, DNA, and lipids. Cancerous tissues can be identified across interanatomical regions with accuracies of 89.3% [sensitivity of 92.6% (162/175); specificity of 88.6% (665/751)], and of 94.7% [sensitivity of 90.9% (30/33); specificity of 93.9% (216/230)] in the gastric and esophagus, respectively, using partial least squares-discriminant analysis together with the leave-one tissue site-out, cross validation. This work demonstrates that Raman endoscopy technique has promising clinical potential for real-time, in vivo diagnosis and detection of malignancies in the upper GI at the molecular level. C 2011 Society of Photo-Optical Instrumentation Engineers (SPIE).

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Section: Raman Endoscopy Instrumentationmentioning

confidence: 99%

Section: Biomolecular Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Biomolecular Modelingmentioning

confidence: 99%

See 3 more Smart Citations

Characterizing variability in in vivo Raman spectra of different anatomical locations in the upper gastrointestinal tract toward cancer detection

et al. 2011

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Biomedical Applications ofRaman Spectroscopy

Sato

Maeda

Ishigaki

et al. 2000

Encyclopedia of Analytical Chemistry

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Raman spectroscopy has specific features suitable for biomedical applications. As it uses visible and near‐infrared (NIR) lights, it is possible to use optical fibers to fabricate a stable, robust Raman system and narrow Raman probes. No labeling and no sample preparation are required for spectral measurement and imaging. The broad strong band due to water is observed only in the high‐frequency region but not in the fingerprint region. Multivariate analysis is a powerful tool for analyzing the complex spectra of biological samples. Raman spectroscopy is, however, not without drawbacks. It is employed as one of the available modalities in recent biomedical application studies. It may be important to understand its advantages and disadvantages when planning a new study. It is also important to know the feasibility of the desired experiment using the available optics and devices. This article describes the instrumentation, principle, and recent applications, providing an introduction to the research field of biomedical Raman spectroscopy.

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Applications of Raman spectroscopy in clinical medicine

Qi,

Chen,

et al. 2024

Food Frontiers

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Raman spectroscopy is a nondestructive and highly effective technique for analyzing biological tissues and diagnosing diseases by providing detailed spectral information about the specific molecular structures of substances. Its efficacy in these applications has been widely recognized, making it a powerful tool in the field. This article presents a comprehensive overview of the latest developments in Raman spectroscopy and its wide‐ranging applications in the diagnosis of critical diseases, such as cancer, infections, neurodegenerative diseases, and predicting surgical outcomes. It highlights the significant contributions of Raman spectroscopy in these areas, shedding light on its potential as a valuable diagnostic tool. This article delves into the advancements of Raman spectroscopy in biomedical sciences, with a specific focus on state‐of‐the‐art techniques such as surface‐enhanced Raman spectroscopy, resonance Raman spectroscopy, and tip‐enhanced Raman spectroscopy. These techniques have shown great potential in various applications within the field. The article explores their use in ex vivo and in vivo medical diagnosis, covering topics such as sample collection, data processing, and the successful establishment of correlations between Raman spectra and biochemical information in specific diseases. Furthermore, the article discusses the limitations of the current research and offers insights into potential future directions for further exploration in the field of Raman spectroscopy in biomedical sciences.

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In vivo detection of epithelial neoplasia in the stomach using image-guided Raman endoscopy

Cited by 95 publications

References 26 publications

Characterizing variability in in vivo Raman spectra of different anatomical locations in the upper gastrointestinal tract toward cancer detection

Characterizing variability in in vivo Raman spectra of different anatomical locations in the upper gastrointestinal tract toward cancer detection

Biomedical Applications ofRaman Spectroscopy

Applications of Raman spectroscopy in clinical medicine

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