Near-Infrared Raman Spectroscopy for In Vitro Detection of Cervical Precancers

Anita Mahadevan-Jansen, Michele Follen Mitchell, Nirmala Ramanujam, Anais Malpica, Sharon Thomsen, Urs Utzinger, Rebecca Richards-Kortum

Research output: Contribution to journalArticle

253 Citations (Scopus)

Abstract

In this study, we investigate the potential of near-infrared Raman spectroscopy to differentiate cervical precancers from normal tissues, inflammation and metaplasia and to differentially diagnose low-grade and high-grade precancers. Near infrared Raman spectra were measured from 36 biopsies from 18 patients in vitro. Detection algorithms were developed and evaluated relative to histopathologic examination. Algorithms based on empirically selected peak intensities, ratios of peak intensities and a combination of principal component analysis for data reduction and Fisher discriminant analysis for classification were investigated. Spectral peaks were tentatively identified from measured spectra of potential chromophores. Empirically selected normalized intensities can differentiate precancers from other tissues with an average sensitivity and specificity of 88 ±4% and 92 ±4%. Ratios of unnormalized intensities can differentiate precancers from other tissues with a sensitivity and specificity of 82% and 88% and high-grade from low-grade lesions with a sensitivity and specificity of 100%. Using multivariate methods, intensities at eight frequencies can be used to differentiate precancers from all other tissues with a sensitivity and specificity of 82% and 92% in an unbiased test. Raman algorithms can potentially separate benign abnormalities such as inflammation and metaplasia from precancers. Comparison of tissue spectra to published and measured chromophore spectra indicate that the most likely primary contributors to the tissue spectra are collagen, nucleic acids, phospholipids and glucose 1-phosphate. These results suggest that near-infrared Raman spectroscopy can be used for cervical precancer diagnosis and may be able to accurately separate samples with inflammation and metaplasia from precancer.

Original languageEnglish (US)
Pages (from-to)123-132
Number of pages10
JournalPhotochemistry and Photobiology
Volume68
Issue number1
StatePublished - Jul 1998
Externally publishedYes

Fingerprint

Near-Infrared Spectroscopy
Raman Spectrum Analysis
Raman spectroscopy
Infrared spectroscopy
infrared spectroscopy
Tissue
grade
Metaplasia
Sensitivity and Specificity
sensitivity
Chromophores
Inflammation
chromophores
Biopsy
data reduction
abnormalities
nucleic acids
Discriminant Analysis
Discriminant analysis
collagens

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Biochemistry
  • Biophysics

Cite this

Mahadevan-Jansen, A., Mitchell, M. F., Ramanujam, N., Malpica, A., Thomsen, S., Utzinger, U., & Richards-Kortum, R. (1998). Near-Infrared Raman Spectroscopy for In Vitro Detection of Cervical Precancers. Photochemistry and Photobiology, 68(1), 123-132.

Near-Infrared Raman Spectroscopy for In Vitro Detection of Cervical Precancers. / Mahadevan-Jansen, Anita; Mitchell, Michele Follen; Ramanujam, Nirmala; Malpica, Anais; Thomsen, Sharon; Utzinger, Urs; Richards-Kortum, Rebecca.

In: Photochemistry and Photobiology, Vol. 68, No. 1, 07.1998, p. 123-132.

Research output: Contribution to journalArticle

Mahadevan-Jansen, A, Mitchell, MF, Ramanujam, N, Malpica, A, Thomsen, S, Utzinger, U & Richards-Kortum, R 1998, 'Near-Infrared Raman Spectroscopy for In Vitro Detection of Cervical Precancers', Photochemistry and Photobiology, vol. 68, no. 1, pp. 123-132.
Mahadevan-Jansen A, Mitchell MF, Ramanujam N, Malpica A, Thomsen S, Utzinger U et al. Near-Infrared Raman Spectroscopy for In Vitro Detection of Cervical Precancers. Photochemistry and Photobiology. 1998 Jul;68(1):123-132.
Mahadevan-Jansen, Anita ; Mitchell, Michele Follen ; Ramanujam, Nirmala ; Malpica, Anais ; Thomsen, Sharon ; Utzinger, Urs ; Richards-Kortum, Rebecca. / Near-Infrared Raman Spectroscopy for In Vitro Detection of Cervical Precancers. In: Photochemistry and Photobiology. 1998 ; Vol. 68, No. 1. pp. 123-132.
@article{cc6328dd287e4d568369da7ef6ad55d9,
title = "Near-Infrared Raman Spectroscopy for In Vitro Detection of Cervical Precancers",
abstract = "In this study, we investigate the potential of near-infrared Raman spectroscopy to differentiate cervical precancers from normal tissues, inflammation and metaplasia and to differentially diagnose low-grade and high-grade precancers. Near infrared Raman spectra were measured from 36 biopsies from 18 patients in vitro. Detection algorithms were developed and evaluated relative to histopathologic examination. Algorithms based on empirically selected peak intensities, ratios of peak intensities and a combination of principal component analysis for data reduction and Fisher discriminant analysis for classification were investigated. Spectral peaks were tentatively identified from measured spectra of potential chromophores. Empirically selected normalized intensities can differentiate precancers from other tissues with an average sensitivity and specificity of 88 ±4{\%} and 92 ±4{\%}. Ratios of unnormalized intensities can differentiate precancers from other tissues with a sensitivity and specificity of 82{\%} and 88{\%} and high-grade from low-grade lesions with a sensitivity and specificity of 100{\%}. Using multivariate methods, intensities at eight frequencies can be used to differentiate precancers from all other tissues with a sensitivity and specificity of 82{\%} and 92{\%} in an unbiased test. Raman algorithms can potentially separate benign abnormalities such as inflammation and metaplasia from precancers. Comparison of tissue spectra to published and measured chromophore spectra indicate that the most likely primary contributors to the tissue spectra are collagen, nucleic acids, phospholipids and glucose 1-phosphate. These results suggest that near-infrared Raman spectroscopy can be used for cervical precancer diagnosis and may be able to accurately separate samples with inflammation and metaplasia from precancer.",
author = "Anita Mahadevan-Jansen and Mitchell, {Michele Follen} and Nirmala Ramanujam and Anais Malpica and Sharon Thomsen and Urs Utzinger and Rebecca Richards-Kortum",
year = "1998",
month = "7",
language = "English (US)",
volume = "68",
pages = "123--132",
journal = "Photochemistry and Photobiology",
issn = "0031-8655",
publisher = "Wiley-Blackwell",
number = "1",

}

TY - JOUR

T1 - Near-Infrared Raman Spectroscopy for In Vitro Detection of Cervical Precancers

AU - Mahadevan-Jansen, Anita

AU - Mitchell, Michele Follen

AU - Ramanujam, Nirmala

AU - Malpica, Anais

AU - Thomsen, Sharon

AU - Utzinger, Urs

AU - Richards-Kortum, Rebecca

PY - 1998/7

Y1 - 1998/7

N2 - In this study, we investigate the potential of near-infrared Raman spectroscopy to differentiate cervical precancers from normal tissues, inflammation and metaplasia and to differentially diagnose low-grade and high-grade precancers. Near infrared Raman spectra were measured from 36 biopsies from 18 patients in vitro. Detection algorithms were developed and evaluated relative to histopathologic examination. Algorithms based on empirically selected peak intensities, ratios of peak intensities and a combination of principal component analysis for data reduction and Fisher discriminant analysis for classification were investigated. Spectral peaks were tentatively identified from measured spectra of potential chromophores. Empirically selected normalized intensities can differentiate precancers from other tissues with an average sensitivity and specificity of 88 ±4% and 92 ±4%. Ratios of unnormalized intensities can differentiate precancers from other tissues with a sensitivity and specificity of 82% and 88% and high-grade from low-grade lesions with a sensitivity and specificity of 100%. Using multivariate methods, intensities at eight frequencies can be used to differentiate precancers from all other tissues with a sensitivity and specificity of 82% and 92% in an unbiased test. Raman algorithms can potentially separate benign abnormalities such as inflammation and metaplasia from precancers. Comparison of tissue spectra to published and measured chromophore spectra indicate that the most likely primary contributors to the tissue spectra are collagen, nucleic acids, phospholipids and glucose 1-phosphate. These results suggest that near-infrared Raman spectroscopy can be used for cervical precancer diagnosis and may be able to accurately separate samples with inflammation and metaplasia from precancer.

AB - In this study, we investigate the potential of near-infrared Raman spectroscopy to differentiate cervical precancers from normal tissues, inflammation and metaplasia and to differentially diagnose low-grade and high-grade precancers. Near infrared Raman spectra were measured from 36 biopsies from 18 patients in vitro. Detection algorithms were developed and evaluated relative to histopathologic examination. Algorithms based on empirically selected peak intensities, ratios of peak intensities and a combination of principal component analysis for data reduction and Fisher discriminant analysis for classification were investigated. Spectral peaks were tentatively identified from measured spectra of potential chromophores. Empirically selected normalized intensities can differentiate precancers from other tissues with an average sensitivity and specificity of 88 ±4% and 92 ±4%. Ratios of unnormalized intensities can differentiate precancers from other tissues with a sensitivity and specificity of 82% and 88% and high-grade from low-grade lesions with a sensitivity and specificity of 100%. Using multivariate methods, intensities at eight frequencies can be used to differentiate precancers from all other tissues with a sensitivity and specificity of 82% and 92% in an unbiased test. Raman algorithms can potentially separate benign abnormalities such as inflammation and metaplasia from precancers. Comparison of tissue spectra to published and measured chromophore spectra indicate that the most likely primary contributors to the tissue spectra are collagen, nucleic acids, phospholipids and glucose 1-phosphate. These results suggest that near-infrared Raman spectroscopy can be used for cervical precancer diagnosis and may be able to accurately separate samples with inflammation and metaplasia from precancer.

UR - http://www.scopus.com/inward/record.url?scp=0032109602&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0032109602&partnerID=8YFLogxK

M3 - Article

C2 - 9679458

AN - SCOPUS:0032109602

VL - 68

SP - 123

EP - 132

JO - Photochemistry and Photobiology

JF - Photochemistry and Photobiology

SN - 0031-8655

IS - 1

ER -