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Histology Verification Demonstrates That Biospectroscopy Analysis of Cervical Cytology Identifies Underlying Disease More Accurately than Conventional Screening: Removing the Confounder of Discordance

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Histology Verification Demonstrates That Biospectroscopy Analysis of Cervical Cytology Identifies Underlying Disease More Accurately than Conventional Screening : Removing the Confounder of Discordance. / Gajjar, Ketan; Ahmadzai, Abdullah; Valasoulis, George; Trevisan, Julio; Founta, Christina ; Nasioutziki, Maria; Loufopoulos, Aristotelis; Kyrgiou, Maria; Stasinou, Sofia Melina; Karakitsos, Petros; Paraskevaidis, Evangelos; Da Gama-Rose, Bianca; Martin-Hirsch, Pierre Leonard; Martin, Francis Luke.

In: PLoS ONE, Vol. 9, No. 1, e82416, 03.01.2014.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Gajjar, K, Ahmadzai, A, Valasoulis, G, Trevisan, J, Founta, C, Nasioutziki, M, Loufopoulos, A, Kyrgiou, M, Stasinou, SM, Karakitsos, P, Paraskevaidis, E, Da Gama-Rose, B, Martin-Hirsch, PL & Martin, FL 2014, 'Histology Verification Demonstrates That Biospectroscopy Analysis of Cervical Cytology Identifies Underlying Disease More Accurately than Conventional Screening: Removing the Confounder of Discordance', PLoS ONE, vol. 9, no. 1, e82416. https://doi.org/10.1371/journal.pone.0082416

APA

Gajjar, K., Ahmadzai, A., Valasoulis, G., Trevisan, J., Founta, C., Nasioutziki, M., Loufopoulos, A., Kyrgiou, M., Stasinou, S. M., Karakitsos, P., Paraskevaidis, E., Da Gama-Rose, B., Martin-Hirsch, P. L., & Martin, F. L. (2014). Histology Verification Demonstrates That Biospectroscopy Analysis of Cervical Cytology Identifies Underlying Disease More Accurately than Conventional Screening: Removing the Confounder of Discordance. PLoS ONE, 9(1), [e82416]. https://doi.org/10.1371/journal.pone.0082416

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Gajjar, Ketan ; Ahmadzai, Abdullah ; Valasoulis, George ; Trevisan, Julio ; Founta, Christina ; Nasioutziki, Maria ; Loufopoulos, Aristotelis ; Kyrgiou, Maria ; Stasinou, Sofia Melina ; Karakitsos, Petros ; Paraskevaidis, Evangelos ; Da Gama-Rose, Bianca ; Martin-Hirsch, Pierre Leonard ; Martin, Francis Luke. / Histology Verification Demonstrates That Biospectroscopy Analysis of Cervical Cytology Identifies Underlying Disease More Accurately than Conventional Screening : Removing the Confounder of Discordance. In: PLoS ONE. 2014 ; Vol. 9, No. 1.

Bibtex

@article{1f0abfa72e674d95b063b91a8d6b7302,
title = "Histology Verification Demonstrates That Biospectroscopy Analysis of Cervical Cytology Identifies Underlying Disease More Accurately than Conventional Screening: Removing the Confounder of Discordance",
abstract = "BackgroundSubjective visual assessment of cervical cytology is flawed, and this can manifest itself by inter- and intra-observer variability resulting ultimately in the degree of discordance in the grading categorisation of samples in screening vs. representative histology. Biospectroscopy methods have been suggested as sensor-based tools that can deliver objective assessments of cytology. However, studies to date have been apparently flawed by a corresponding lack of diagnostic efficiency when samples have previously been classed using cytology screening. This raises the question as to whether categorisation of cervical cytology based on imperfect conventional screening reduces the diagnostic accuracy of biospectroscopy approaches; are these latter methods more accurate and diagnose underlying disease? The purpose of this study was to compare the objective accuracy of infrared (IR) spectroscopy of cervical cytology samples using conventional cytology vs. histology-based categorisation.MethodsWithin a typical clinical setting, a total of n = 322 liquid-based cytology samples were collected immediately before biopsy. Of these, it was possible to acquire subsequent histology for n = 154. Cytology samples were categorised according to conventional screening methods and subsequently interrogated employing attenuated total reflection Fourier-transform IR (ATR-FTIR) spectroscopy. IR spectra were pre-processed and analysed using linear discriminant analysis. Dunn{\textquoteright}s test was applied to identify the differences in spectra. Within the diagnostic categories, histology allowed us to determine the comparative efficiency of conventional screening vs. biospectroscopy to correctly identify either true atypia or underlying disease.ResultsConventional cytology-based screening results in poor sensitivity and specificity. IR spectra derived from cervical cytology do not appear to discriminate in a diagnostic fashion when categories were based on conventional screening. Scores plots of IR spectra exhibit marked crossover of spectral points between different cytological categories. Although, significant differences between spectral bands in different categories are noted, crossover samples point to the potential for poor specificity and hampers the development of biospectroscopy as a diagnostic tool. However, when histology-based categories are used to conduct analyses, the scores plot of IR spectra exhibit markedly better segregation.ConclusionsHistology demonstrates that ATR-FTIR spectroscopy of liquid-based cytology identifies the presence of underlying atypia or disease missed in conventional cytology screening. This study points to an urgent need for a future biospectroscopy study where categories are based on such histology. It will allow for the validation of this approach as a screening tool.",
author = "Ketan Gajjar and Abdullah Ahmadzai and George Valasoulis and Julio Trevisan and Christina Founta and Maria Nasioutziki and Aristotelis Loufopoulos and Maria Kyrgiou and Stasinou, {Sofia Melina} and Petros Karakitsos and Evangelos Paraskevaidis and {Da Gama-Rose}, Bianca and Martin-Hirsch, {Pierre Leonard} and Martin, {Francis Luke}",
year = "2014",
month = jan,
day = "3",
doi = "10.1371/journal.pone.0082416",
language = "English",
volume = "9",
journal = "PLoS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "1",

}

RIS

TY - JOUR

T1 - Histology Verification Demonstrates That Biospectroscopy Analysis of Cervical Cytology Identifies Underlying Disease More Accurately than Conventional Screening

T2 - Removing the Confounder of Discordance

AU - Gajjar, Ketan

AU - Ahmadzai, Abdullah

AU - Valasoulis, George

AU - Trevisan, Julio

AU - Founta, Christina

AU - Nasioutziki, Maria

AU - Loufopoulos, Aristotelis

AU - Kyrgiou, Maria

AU - Stasinou, Sofia Melina

AU - Karakitsos, Petros

AU - Paraskevaidis, Evangelos

AU - Da Gama-Rose, Bianca

AU - Martin-Hirsch, Pierre Leonard

AU - Martin, Francis Luke

PY - 2014/1/3

Y1 - 2014/1/3

N2 - BackgroundSubjective visual assessment of cervical cytology is flawed, and this can manifest itself by inter- and intra-observer variability resulting ultimately in the degree of discordance in the grading categorisation of samples in screening vs. representative histology. Biospectroscopy methods have been suggested as sensor-based tools that can deliver objective assessments of cytology. However, studies to date have been apparently flawed by a corresponding lack of diagnostic efficiency when samples have previously been classed using cytology screening. This raises the question as to whether categorisation of cervical cytology based on imperfect conventional screening reduces the diagnostic accuracy of biospectroscopy approaches; are these latter methods more accurate and diagnose underlying disease? The purpose of this study was to compare the objective accuracy of infrared (IR) spectroscopy of cervical cytology samples using conventional cytology vs. histology-based categorisation.MethodsWithin a typical clinical setting, a total of n = 322 liquid-based cytology samples were collected immediately before biopsy. Of these, it was possible to acquire subsequent histology for n = 154. Cytology samples were categorised according to conventional screening methods and subsequently interrogated employing attenuated total reflection Fourier-transform IR (ATR-FTIR) spectroscopy. IR spectra were pre-processed and analysed using linear discriminant analysis. Dunn’s test was applied to identify the differences in spectra. Within the diagnostic categories, histology allowed us to determine the comparative efficiency of conventional screening vs. biospectroscopy to correctly identify either true atypia or underlying disease.ResultsConventional cytology-based screening results in poor sensitivity and specificity. IR spectra derived from cervical cytology do not appear to discriminate in a diagnostic fashion when categories were based on conventional screening. Scores plots of IR spectra exhibit marked crossover of spectral points between different cytological categories. Although, significant differences between spectral bands in different categories are noted, crossover samples point to the potential for poor specificity and hampers the development of biospectroscopy as a diagnostic tool. However, when histology-based categories are used to conduct analyses, the scores plot of IR spectra exhibit markedly better segregation.ConclusionsHistology demonstrates that ATR-FTIR spectroscopy of liquid-based cytology identifies the presence of underlying atypia or disease missed in conventional cytology screening. This study points to an urgent need for a future biospectroscopy study where categories are based on such histology. It will allow for the validation of this approach as a screening tool.

AB - BackgroundSubjective visual assessment of cervical cytology is flawed, and this can manifest itself by inter- and intra-observer variability resulting ultimately in the degree of discordance in the grading categorisation of samples in screening vs. representative histology. Biospectroscopy methods have been suggested as sensor-based tools that can deliver objective assessments of cytology. However, studies to date have been apparently flawed by a corresponding lack of diagnostic efficiency when samples have previously been classed using cytology screening. This raises the question as to whether categorisation of cervical cytology based on imperfect conventional screening reduces the diagnostic accuracy of biospectroscopy approaches; are these latter methods more accurate and diagnose underlying disease? The purpose of this study was to compare the objective accuracy of infrared (IR) spectroscopy of cervical cytology samples using conventional cytology vs. histology-based categorisation.MethodsWithin a typical clinical setting, a total of n = 322 liquid-based cytology samples were collected immediately before biopsy. Of these, it was possible to acquire subsequent histology for n = 154. Cytology samples were categorised according to conventional screening methods and subsequently interrogated employing attenuated total reflection Fourier-transform IR (ATR-FTIR) spectroscopy. IR spectra were pre-processed and analysed using linear discriminant analysis. Dunn’s test was applied to identify the differences in spectra. Within the diagnostic categories, histology allowed us to determine the comparative efficiency of conventional screening vs. biospectroscopy to correctly identify either true atypia or underlying disease.ResultsConventional cytology-based screening results in poor sensitivity and specificity. IR spectra derived from cervical cytology do not appear to discriminate in a diagnostic fashion when categories were based on conventional screening. Scores plots of IR spectra exhibit marked crossover of spectral points between different cytological categories. Although, significant differences between spectral bands in different categories are noted, crossover samples point to the potential for poor specificity and hampers the development of biospectroscopy as a diagnostic tool. However, when histology-based categories are used to conduct analyses, the scores plot of IR spectra exhibit markedly better segregation.ConclusionsHistology demonstrates that ATR-FTIR spectroscopy of liquid-based cytology identifies the presence of underlying atypia or disease missed in conventional cytology screening. This study points to an urgent need for a future biospectroscopy study where categories are based on such histology. It will allow for the validation of this approach as a screening tool.

U2 - 10.1371/journal.pone.0082416

DO - 10.1371/journal.pone.0082416

M3 - Journal article

VL - 9

JO - PLoS ONE

JF - PLoS ONE

SN - 1932-6203

IS - 1

M1 - e82416

ER -