Imperial College London
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Professor Maria Kyrgiou

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Chair in Gynaecologic Oncology
 
 
 
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Contact

 

+44 (0)20 7594 2177m.kyrgiou Website

 
 
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Location

 

Institute of Reproductive and Developmental BiologyHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Gajjar:2014:10.1371/journal.pone.0082416,
author = {Gajjar, K and Ahmadzai, AA and Valasoulis, G and Trevisan, J and Founta, C and Nasioutziki, M and Loufopoulos, A and Kyrgiou, M and Stasinou, SM and Karakitsos, P and Paraskevaidis, E and Da, Gama-Rose B and Martin-Hirsch, PL and Martin, FL},
doi = {10.1371/journal.pone.0082416},
journal = {PLOS One},
title = {Histology verification demonstrates that biospectroscopy analysis of cervical cytology identifies underlying disease more accurately than conventional screening: Removing the confounder of discordance},
url = {http://dx.doi.org/10.1371/journal.pone.0082416},
volume = {9},
year = {2014}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
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 plo
AU  - Gajjar,K
AU  - Ahmadzai,AA
AU  - Valasoulis,G
AU  - Trevisan,J
AU  - Founta,C
AU  - Nasioutziki,M
AU  - Loufopoulos,A
AU  - Kyrgiou,M
AU  - Stasinou,SM
AU  - Karakitsos,P
AU  - Paraskevaidis,E
AU  - Da,Gama-Rose B
AU  - Martin-Hirsch,PL
AU  - Martin,FL
DO  - 10.1371/journal.pone.0082416
PY  - 2014///
SN  - 1932-6203
TI  - Histology verification demonstrates that biospectroscopy analysis of cervical cytology identifies underlying disease more accurately than conventional screening: Removing the confounder of discordance
T2  - PLOS One
UR  - http://dx.doi.org/10.1371/journal.pone.0082416
UR  - http://hdl.handle.net/10044/1/27424
VL  - 9
ER  -
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