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Concentration of FAD as a marker for cervical precancer detection

We report the ex vivo results of an in-house fabricated portable device based on polarized fluorescence measurements in the clinical environment. This device measures the polarized fluorescence and elastic scattering spectra with 405-nm laser and white light sources, respectively. The dominating flu...

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Autores principales: Meena, Bharat L., Agarwal, Asha, Pantola, Chayanika, Pandey, Kiran, Pradhan, Asima
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6975182/
https://www.ncbi.nlm.nih.gov/pubmed/30903655
http://dx.doi.org/10.1117/1.JBO.24.3.035008
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author Meena, Bharat L.
Agarwal, Asha
Pantola, Chayanika
Pandey, Kiran
Pradhan, Asima
author_facet Meena, Bharat L.
Agarwal, Asha
Pantola, Chayanika
Pandey, Kiran
Pradhan, Asima
author_sort Meena, Bharat L.
collection PubMed
description We report the ex vivo results of an in-house fabricated portable device based on polarized fluorescence measurements in the clinical environment. This device measures the polarized fluorescence and elastic scattering spectra with 405-nm laser and white light sources, respectively. The dominating fluorophore with 405-nm excitation is flavin adenine dinucleotide (FAD) with a fluorescence peak around 510 nm. The measured spectra are highly modulated by the interplay of scattering and absorption effects. Due to this, valuable information gets masked. To reduce these effects, intrinsic fluorescence was extracted by normalizing polarized fluorescence spectra with polarized elastic scattering spectra obtained. A number of fluorophores contribute to the fluorescence spectra and need to be decoupled to understand their roles in the progression of cancer. Nelder–Mead method has been utilized to fit the spectral profile with Gaussian to decouple the different bands of contributing fluorophores (FAD and porphyrin). The change in concentration of FAD during disease progression manifests in the change in ratio of total area to FWHM of its Gaussian profile. Receiver operating characteristic (ROC) curve analysis has been used to discriminate different grades of cervical precancer by using the ratio as input parameter. The sensitivity and specificity for discrimination of normal samples from CIN I (cervical intraepithelial neoplasia) are 75% and 54%, respectively. Further, the normal samples can be discriminated from CIN II samples with 100% and 82% sensitivity and specificity, respectively, and the CIN I from CIN II samples can also be discriminated with 100% sensitivity and 90% specificity, respectively. The results show that the change in the concentration of (FAD) can be used as a marker to discriminate the different grades of the cancer and biochemical changes at an early stage of the cancer can also be monitored with this technique.
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spelling pubmed-69751822020-02-03 Concentration of FAD as a marker for cervical precancer detection Meena, Bharat L. Agarwal, Asha Pantola, Chayanika Pandey, Kiran Pradhan, Asima J Biomed Opt General We report the ex vivo results of an in-house fabricated portable device based on polarized fluorescence measurements in the clinical environment. This device measures the polarized fluorescence and elastic scattering spectra with 405-nm laser and white light sources, respectively. The dominating fluorophore with 405-nm excitation is flavin adenine dinucleotide (FAD) with a fluorescence peak around 510 nm. The measured spectra are highly modulated by the interplay of scattering and absorption effects. Due to this, valuable information gets masked. To reduce these effects, intrinsic fluorescence was extracted by normalizing polarized fluorescence spectra with polarized elastic scattering spectra obtained. A number of fluorophores contribute to the fluorescence spectra and need to be decoupled to understand their roles in the progression of cancer. Nelder–Mead method has been utilized to fit the spectral profile with Gaussian to decouple the different bands of contributing fluorophores (FAD and porphyrin). The change in concentration of FAD during disease progression manifests in the change in ratio of total area to FWHM of its Gaussian profile. Receiver operating characteristic (ROC) curve analysis has been used to discriminate different grades of cervical precancer by using the ratio as input parameter. The sensitivity and specificity for discrimination of normal samples from CIN I (cervical intraepithelial neoplasia) are 75% and 54%, respectively. Further, the normal samples can be discriminated from CIN II samples with 100% and 82% sensitivity and specificity, respectively, and the CIN I from CIN II samples can also be discriminated with 100% sensitivity and 90% specificity, respectively. The results show that the change in the concentration of (FAD) can be used as a marker to discriminate the different grades of the cancer and biochemical changes at an early stage of the cancer can also be monitored with this technique. Society of Photo-Optical Instrumentation Engineers 2019-03-22 2019-03 /pmc/articles/PMC6975182/ /pubmed/30903655 http://dx.doi.org/10.1117/1.JBO.24.3.035008 Text en © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
spellingShingle General
Meena, Bharat L.
Agarwal, Asha
Pantola, Chayanika
Pandey, Kiran
Pradhan, Asima
Concentration of FAD as a marker for cervical precancer detection
title Concentration of FAD as a marker for cervical precancer detection
title_full Concentration of FAD as a marker for cervical precancer detection
title_fullStr Concentration of FAD as a marker for cervical precancer detection
title_full_unstemmed Concentration of FAD as a marker for cervical precancer detection
title_short Concentration of FAD as a marker for cervical precancer detection
title_sort concentration of fad as a marker for cervical precancer detection
topic General
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6975182/
https://www.ncbi.nlm.nih.gov/pubmed/30903655
http://dx.doi.org/10.1117/1.JBO.24.3.035008
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