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All-in-one Raman spectroscopy approach to diagnosis of colorectal cancer: analysis of spectra in the fingerprint regions
Objectives: Raman spectroscopy yields precise information, not only regarding the secondary structure of proteins but also regarding the discrimination between normal and malignant tissues. There is, however, no standard measurement method. We evaluated the use of a miniaturized, handheld, all-in-on...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Japan Society of Coloproctology
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6752119/ https://www.ncbi.nlm.nih.gov/pubmed/31559373 http://dx.doi.org/10.23922/jarc.2018-039 |
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author | Sato, Sumito Sekine, Ryuichi Kagoshima, Hirotada Kazama, Keisuke Kato, Aya Shiozawa, Manabu Tanaka, Jun-ichi |
author_facet | Sato, Sumito Sekine, Ryuichi Kagoshima, Hirotada Kazama, Keisuke Kato, Aya Shiozawa, Manabu Tanaka, Jun-ichi |
author_sort | Sato, Sumito |
collection | PubMed |
description | Objectives: Raman spectroscopy yields precise information, not only regarding the secondary structure of proteins but also regarding the discrimination between normal and malignant tissues. There is, however, no standard measurement method. We evaluated the use of a miniaturized, handheld, all-in-one Raman spectrometer with a 1064-nm laser excitation source for the diagnosis of colorectal cancer. The ultimate goal is real-time, in vivo diagnosis. Methods: Tissue samples were obtained from 20 patients who underwent surgery for colorectal cancer. The samples were irradiated with the portable Progeny™ Raman spectrometer, with which the Raman spectra were also obtained. We searched for characteristic Raman shifts and examined whether these shifts could distinguish the cancer tissues. To improve accuracy, we divided the spectra into 100 cm(−1) bands and applied principal component analysis (PCA) to each range. We evaluated the contribution of each range for cancer discrimination. Results: Intensities at 1261 and 1427 cm(−1) differed significantly between the normal tissues and cancer tissues, but these did not efficiently discriminate the cancer tissues. However, we were able to identify the characteristic spectral range in fingerprint regions; accuracy was 85.1%. Conclusions: Use of the all-in-one type Raman spectrometer can efficiently discriminate colorectal cancer, not on the basis of the intensities at 1261 and 1427 cm(−1) but rather on the basis of PCA. Thus, Raman spectroscopy performed using a handheld device has potential to become a clinically powerful tool for producing high-quality data, obtaining highly reproducible measurements, and thus accurately diagnosing colorectal cancer. |
format | Online Article Text |
id | pubmed-6752119 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | The Japan Society of Coloproctology |
record_format | MEDLINE/PubMed |
spelling | pubmed-67521192019-09-26 All-in-one Raman spectroscopy approach to diagnosis of colorectal cancer: analysis of spectra in the fingerprint regions Sato, Sumito Sekine, Ryuichi Kagoshima, Hirotada Kazama, Keisuke Kato, Aya Shiozawa, Manabu Tanaka, Jun-ichi J Anus Rectum Colon Original Research Article Objectives: Raman spectroscopy yields precise information, not only regarding the secondary structure of proteins but also regarding the discrimination between normal and malignant tissues. There is, however, no standard measurement method. We evaluated the use of a miniaturized, handheld, all-in-one Raman spectrometer with a 1064-nm laser excitation source for the diagnosis of colorectal cancer. The ultimate goal is real-time, in vivo diagnosis. Methods: Tissue samples were obtained from 20 patients who underwent surgery for colorectal cancer. The samples were irradiated with the portable Progeny™ Raman spectrometer, with which the Raman spectra were also obtained. We searched for characteristic Raman shifts and examined whether these shifts could distinguish the cancer tissues. To improve accuracy, we divided the spectra into 100 cm(−1) bands and applied principal component analysis (PCA) to each range. We evaluated the contribution of each range for cancer discrimination. Results: Intensities at 1261 and 1427 cm(−1) differed significantly between the normal tissues and cancer tissues, but these did not efficiently discriminate the cancer tissues. However, we were able to identify the characteristic spectral range in fingerprint regions; accuracy was 85.1%. Conclusions: Use of the all-in-one type Raman spectrometer can efficiently discriminate colorectal cancer, not on the basis of the intensities at 1261 and 1427 cm(−1) but rather on the basis of PCA. Thus, Raman spectroscopy performed using a handheld device has potential to become a clinically powerful tool for producing high-quality data, obtaining highly reproducible measurements, and thus accurately diagnosing colorectal cancer. The Japan Society of Coloproctology 2019-04-25 /pmc/articles/PMC6752119/ /pubmed/31559373 http://dx.doi.org/10.23922/jarc.2018-039 Text en Copyright © 2019 by The Japan Society of Coloproctology https://creativecommons.org/licenses/by-nc-nd/4.0/ Journal of the Anus, Rectum and Colon is an Open Access journal distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. To view the details of this license, please visit (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Research Article Sato, Sumito Sekine, Ryuichi Kagoshima, Hirotada Kazama, Keisuke Kato, Aya Shiozawa, Manabu Tanaka, Jun-ichi All-in-one Raman spectroscopy approach to diagnosis of colorectal cancer: analysis of spectra in the fingerprint regions |
title | All-in-one Raman spectroscopy approach to diagnosis of colorectal cancer: analysis of spectra in the fingerprint regions |
title_full | All-in-one Raman spectroscopy approach to diagnosis of colorectal cancer: analysis of spectra in the fingerprint regions |
title_fullStr | All-in-one Raman spectroscopy approach to diagnosis of colorectal cancer: analysis of spectra in the fingerprint regions |
title_full_unstemmed | All-in-one Raman spectroscopy approach to diagnosis of colorectal cancer: analysis of spectra in the fingerprint regions |
title_short | All-in-one Raman spectroscopy approach to diagnosis of colorectal cancer: analysis of spectra in the fingerprint regions |
title_sort | all-in-one raman spectroscopy approach to diagnosis of colorectal cancer: analysis of spectra in the fingerprint regions |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6752119/ https://www.ncbi.nlm.nih.gov/pubmed/31559373 http://dx.doi.org/10.23922/jarc.2018-039 |
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