In vivo early diagnosis of gastric dysplasia using narrow-band image-guided Raman endoscopy

Huang, Zhiwei; Bergholt, Mads Sylvest; Zheng, Wei; Lin, Kan; Ho, Khek Yu; Teh, Ming; Yeoh, Khay Guan

doi:10.1117/1.3420115

Cited by 81 publications

(100 citation statements)

References 22 publications

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“…LDA has been used with Raman spectroscopy to create binary classification models to identify leukemia [484] and gastric dysplasia [438]. LDA can also be performed multiple times to create a multi-level classification model (i.e.…”

Section: Linear Discriminant Analysismentioning

confidence: 99%

“…combinations of Raman spectroscopy with other endoscopic imaging techniques such as narrow-band imaging [438] and white-light reflectance [439].…”

Section: Challengesmentioning

confidence: 99%

“…Huang and his group have used this method with their in vivo Raman probes. They use a combination of white light and narrowband imaging to guide the probe to suspicious regions for acquisition of Raman spectra [438,439]. A confocal system detecting reflectance was used by Patil et al to select Raman sampling points on skin surfaces [443].…”

Section: Applicationsmentioning

confidence: 99%

See 2 more Smart Citations

Raman spectroscopy: techniques and applications in the life sciences

Shipp¹,

Sinjab²,

Notingher³

2017

Adv. Opt. Photon.

270

189

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Raman spectroscopy is an increasingly popular technique in many areas including biology and medicine.It is based on Raman scattering, a phenomenon in which incident photons lose or gain energy via interactions with vibrating molecules in a sample. These energy shifts can be used to obtain information regarding molecular composition of the sample with very high accuracy. Applications of Raman spectroscopy in the life sciences have included quantification of biomolecules, hyperspectral molecular imaging of cells and tissue, medical diagnosis, and others. This review briefly presents the physical origin of Raman scattering explaining the key classical and quantum mechanical concepts. Variations of the Raman effect will also be considered, including resonance, coherent, and enhanced Raman scattering. We discuss the molecular origins of prominent bands often found in the Raman spectra of biological samples. Finally, we examine several variations of Raman spectroscopy techniques in practice, looking at their applications, strengths, and challenges. This review is intended to be a starting resource for scientists new to Raman spectroscopy, providing theoretical background and practical examples as the foundation for further study and exploration.

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Section: Linear Discriminant Analysismentioning

confidence: 99%

“…combinations of Raman spectroscopy with other endoscopic imaging techniques such as narrow-band imaging [438] and white-light reflectance [439].…”

Section: Challengesmentioning

confidence: 99%

See 1 more Smart Citation

Raman spectroscopy: techniques and applications in the life sciences

Shipp¹,

Sinjab²,

Notingher³

2017

Adv. Opt. Photon.

270

189

View full text Add to dashboard Cite

show abstract

“…100,101,102 In the investigation of tumour margins during surgery, it is also important to discriminate any buried tumour tissue beneath the surface of an apparently normal tissue margin. 65,103 29 Huang et al 53 mm Lensed tip beveled tip flat face tip Jaillon et al 95 Hattori et al 28 Komachi et al 91 cm Large laser spot…”

Section: Subsurface Probes and Applicationsmentioning

confidence: 99%

Developing fibre optic Raman probes for applications in clinical spectroscopy

et al. 2016

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Raman spectroscopy has been shown by various groups over the last two decades to have significant capability in discriminating disease states in bodily fluids, cells and tissues. Recent development in instrumentation, optics and manufacturing approaches has facilitated the design and demonstration of various novel in vivo probes, which have applicability for myriad of applications. This review focusses on key considerations and recommendations for application specific clinical Raman probe design and construction. Raman probes can be utilised as clinical tools able to provide rapid, non-invasive, real-time molecular analysis of disease specific changes in tissues. Clearly the target tissue location, the significiance of spectral changes with disease and the possible access routes to the region of interest will vary for each clinical application considered. This review provides insight into design and construction considerations, including suitable probe designs and manufacturing materials compatible with Raman spectroscopy.

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“…Efficient diagnostic algorithms for differentiating RS spectra between the early and advanced stages of NPC patients were applied using PCA and LDA, as described in our previous study (23). Briefly, to decrease the dimensions of the spectral data, PCA is used to extract a set of orthogonal principal components (PCs) that interpret the maximum difference in the dataset, for further diagnosis and characterization.…”

Section: Rs Measurementsmentioning

confidence: 99%

Label-free discrimination of different stage nasopharyngeal carcinoma tissue based on Raman spectroscopy

Qiu

Huang

et al. 2016

Oncology Letters

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Abstract. The present study aimed to evaluate a label-free tissue test for the detection of nasopharyngeal carcinoma (NPC) at early and advanced stages using Raman spectroscopy (RS). RS measurements were performed to acquire high quality Raman spectra on two groups of tissue samples: One group consists of 30 NPC patients at the early stages (I-II), and the other group is 46 NPC patients at the advanced stages (III-IV). Tentative assignment of Raman bands showed specific biomolecular changes associated with cancer development. Furthermore, effective diagnostic algorithms based on principal components analysis (PCA) and linear discriminant analysis (LDA) were applied for distinguishing Raman spectra of nasopharyngeal tissues from different stages, yielding a diagnostic sensitivity of 70% and a specificity of 78%. This exploratory work suggests that RS in conjunction with the PCA-LDA algorithms provides good diagnostic ability for the early and the advanced staged NPC tissues, and RS has enormous potential for the non-invasive detection of early and advanced stage NPC. IntroductionNasopharyngeal carcinoma (NPC) is a malignant neoplasm and retains a high incidence in Southeast Asia and Southern China (1). An accurate tumor-node-metastasis (TNM) staging system is important for estimating the prognosis of malignant carcinoma, constructing treatment plans, and for predicting the 5-year overall survival rate (OS) of NPC (2). The 5-year OS rates of stage I, II, III, and IV NPC are 94, 87, 77 and 65%, respectively (3). It can be difficult to make an early diagnosis of this lesion due to the anatomical position of NPC. At present, the protocols used for NPC staging include flexible fiberoptic nasopharyngoscopy pathological biopsy, blood EB-DNA test, computed tomography (CT) of the chest, magnetic resonance imaging (MRI) of the nasopharynx and neck, bone emission computed tomography (ECT) and position emission tomography. These diagnostic processes are invasive, inconvenient, and time-consuming. Therefore, an improved diagnostic method for NPC is required, that can overcome the above disadvantages.Raman spectroscopy (RS) makes use of the inelastic scattering of light, and provides a spectrographic signature of the structure and conformation of specific molecular species, such as proteins, nucleic acids and lipids (4). At present, the application of RS is used extensively to identify cancer by analyzing excised tissue, blood plasma, saliva, urine, and seminal fluid (5-9). Tissue samples obtained timely and even continually during treatment of previously diagnosed patients, are the ideal material for confirming a precise diagnosis (10). Hitherto, RS has been widely utilized to verify diagnoses using excised samples of cancer tissues, such as esophageal cancer, lung cancer, and gastric cancer (11-13). Furthermore, Raman spectroscopy endoscopic analysis of tissues in vivo has demonstrated the potential for detecting cancers such as laryngeal cancer, esophageal cancer, lung cancer, colorectal cancer and bladder cancer (14-18). T...

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In vivo early diagnosis of gastric dysplasia using narrow-band image-guided Raman endoscopy

Cited by 81 publications

References 22 publications

Raman spectroscopy: techniques and applications in the life sciences

Raman spectroscopy: techniques and applications in the life sciences

Developing fibre optic Raman probes for applications in clinical spectroscopy

Label-free discrimination of different stage nasopharyngeal carcinoma tissue based on Raman spectroscopy

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