Near-infrared Raman spectroscopy for in-vivo diagnosis of cervical dysplasia: a probability-based multi-class diagnostic algorithm

2007 ◽  
Author(s):  
Shovan K. Majumder ◽  
Elizabeth Kanter ◽  
Amy Robichaux Viehoever ◽  
Howard Jones ◽  
Anita Mahadevan-Jansen
Keyword(s):  
Raman Spectroscopy ◽  
Near Infrared ◽  
Cervical Dysplasia ◽  
Diagnostic Algorithm ◽  
In Vivo Diagnosis

In vivo detection of cervical dysplasia with near-infrared Raman spectroscopy

2002 ◽  
Author(s):  
Amy Robichaux ◽  
Chad A. Lieber ◽  
Heidi Shappell ◽  
Beth Huff ◽  
Howard Jones III ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Near Infrared ◽  
Cervical Dysplasia

Combining near-infrared-excited autofluorescence and Raman spectroscopy improves in vivo diagnosis of gastric cancer

2011 ◽  
Vol 26 (10) ◽  
pp. 4104-4110 ◽  
Author(s):  
Mads Sylvest Bergholt ◽  
Wei Zheng ◽  
Kan Lin ◽  
Khek Yu Ho ◽  
Ming Teh ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Raman Spectroscopy ◽  
Near Infrared ◽  
In Vivo Diagnosis

Characterization of Raman Spectra Measured in Vivo for the Detection of Cervical Dysplasia

2007 ◽  
Vol 61 (9) ◽  
pp. 986-993 ◽  
Author(s):  
Amy Robichaux-Viehoever ◽  
Elizabeth Kanter ◽  
Heidi Shappell ◽  
Dean Billheimer ◽  
Howard Jones ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Raman Spectra ◽  
Sensitivity And Specificity ◽  
Near Infrared ◽  
Squamous Metaplasia ◽  
Cervical Dysplasia ◽  
High Grade Dysplasia ◽  
Measured Signal ◽  
High Grade

Raman spectroscopy has been shown to have the potential for providing differential diagnosis in the cervix with high sensitivity and specificity in previous studies. The research presented here further evaluates the potential of near-infrared Raman spectroscopy to detect cervical dysplasia in a clinical setting. Using a portable system, Raman spectra were collected from the cervix of 79 patients using clinically feasible integration times (5 seconds on most patients). Multiple Raman measurements were taken from colposcopically normal and abnormal areas prior to the excision of tissue. Data were processed to extract Raman spectra from measured signal, which includes fluorescence and noise. The resulting spectra were correlated with the corresponding histopathologic diagnosis to determine empirical differences between different diagnostic categories. Using histology as the gold standard, logistic regression discrimination algorithms were developed to distinguish between normal ectocervix, squamous metaplasia, and high-grade dysplasia using independent training and validation sets of data. An unbiased estimate of the accuracy of the model indicates that Raman spectroscopy can distinguish between high-grade dysplasia and benign tissue with sensitivity of 89% and specificity of 81%, while colposcopy in expert hands was able to discriminate with a sensitivity and specificity of 87% and 72%.

scholarly journals Applications of Vibrational Spectroscopy for Analysis of Connective Tissues

Molecules ◽  
2021 ◽  
Vol 26 (4) ◽  
pp. 922
Author(s):  
William Querido ◽  
Shital Kandel ◽  
Nancy Pleshko
Keyword(s):  
Raman Spectroscopy ◽  
Vibrational Spectroscopy ◽  
Near Infrared ◽  
Ex Vivo ◽  
Biological Tissues ◽  
Label Free ◽  
Connective Tissues ◽  
Bone Properties ◽  
Composition And Structure

Advances in vibrational spectroscopy have propelled new insights into the molecular composition and structure of biological tissues. In this review, we discuss common modalities and techniques of vibrational spectroscopy, and present key examples to illustrate how they have been applied to enrich the assessment of connective tissues. In particular, we focus on applications of Fourier transform infrared (FTIR), near infrared (NIR) and Raman spectroscopy to assess cartilage and bone properties. We present strengths and limitations of each approach and discuss how the combination of spectrometers with microscopes (hyperspectral imaging) and fiber optic probes have greatly advanced their biomedical applications. We show how these modalities may be used to evaluate virtually any type of sample (ex vivo, in situ or in vivo) and how “spectral fingerprints” can be interpreted to quantify outcomes related to tissue composition and quality. We highlight the unparalleled advantage of vibrational spectroscopy as a label-free and often nondestructive approach to assess properties of the extracellular matrix (ECM) associated with normal, developing, aging, pathological and treated tissues. We believe this review will assist readers not only in better understanding applications of FTIR, NIR and Raman spectroscopy, but also in implementing these approaches for their own research projects.

Multimodal endoscopic imaging and Raman spectroscopy for improving in vivo diagnosis of gastric malignancies during clinical gastroscopy

2010 ◽  
Author(s):  
Mads Sylvest Bergholt ◽  
Wei Zheng ◽  
Kan Lin ◽  
Khek Yu Ho ◽  
Khay Guan Yeoh ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Endoscopic Imaging ◽  
In Vivo Diagnosis

scholarly journals Real-time In vivo Diagnosis of Nasopharyngeal Carcinoma Using Rapid Fiber-Optic Raman Spectroscopy

Theranostics ◽  
2017 ◽  
Vol 7 (14) ◽  
pp. 3517-3526 ◽  
Author(s):  
Kan Lin ◽  
Wei Zheng ◽  
Chwee Ming Lim ◽  
Zhiwei Huang
Keyword(s):  
Raman Spectroscopy ◽  
Nasopharyngeal Carcinoma ◽  
Real Time ◽  
Fiber Optic ◽  
In Vivo Diagnosis

Sa1831 Image-Guided Raman Spectroscopy for Real-Time In Vivo Diagnosis of Barrett's Esophagus During Endoscopic Examination

2012 ◽  
Vol 142 (5) ◽  
pp. S-336 ◽  
Author(s):  
Mads Sylvest Bergholt ◽  
Wei Zheng ◽  
Khek-Yu Ho ◽  
Ming Teh ◽  
Khay Guan Yeoh ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Real Time ◽  
Barrett’S Esophagus ◽  
Barrett's Esophagus ◽  
Endoscopic Examination ◽  
Image Guided ◽  
In Vivo Diagnosis

Near Infrared Raman Spectroscopy for Cancer Detection in vivo

2002 ◽  
Author(s):  
Anita Mahadevan-Jansen ◽  
Amy Robichaux ◽  
Chad Lieber ◽  
Heidi Shappell ◽  
Darryl Ellis ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Cancer Detection ◽  
Near Infrared

Assessment of ex-vivo and in-vivo near-infrared Raman spectroscopy for the classification of dysplasia within Barrett's esophagus

2000 ◽  
Author(s):  
Martin G. Shim ◽  
Louis-Michel Wong Kee Song ◽  
Norman E. Marcon ◽  
Shirley Hassaram ◽  
Brian C. Wilson
Keyword(s):  
Raman Spectroscopy ◽  
Barrett’S Esophagus ◽  
Barrett's Esophagus ◽  
Near Infrared ◽  
Ex Vivo
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