FTIR microspectroscopic study of cell types and potential confounding variables in screening for cervical malignancies

Wood, Bayden Robert; Quinn, Michael; Tait, Brian D.; Ashdown, Martin; Hislop, Tracy; Romeo, Melissa

doi:10.1002/(sici)1520-6343(1998)4:2<75::aid-bspy1>3.3.co;2-3

Cited by 51 publications

(64 citation statements)

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“…This kind of cellular and non‐cellular disturbance of the tissue homogeneity directly causes spectral mixing, and thus makes IR‐MSP analysis unreliable in those regions. A similar result was found by the analysis of confounding variables in the microspectroscopic assessment of Pap smears, where leukocytes and, in particular, lymphocytes misleadingly had spectral features suggestive of changes indicative of malignancy 33 …”

Section: Discussionsupporting

confidence: 76%

Suitability of infrared microspectroscopic imaging for histopathology of the uterine cervix

et al. 2012

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Section: Discussionsupporting

confidence: 76%

Suitability of infrared microspectroscopic imaging for histopathology of the uterine cervix

et al. 2012

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“…This may be seen in terms of “local sampling” in SCP and SHP, where spectral features at the level of individual cells are captured, vs “global sampling” in the analysis of body fluids where the only correlation is with an overall patient assessment. Very early work in SCP and SHP also was confounded by similar global sampling issues when spectra of cell pellets, or large samples of tissue were recorded macroscopically (rather than using an infrared microscope) and correlations were sought between spectral features and overall sample diagnosis. This approach failed due to large heterogeneity in the composition of tissue or cell exfoliates.…”

Section: Introductionmentioning

confidence: 99%

Comments on recent reports on infrared spectral detection of disease markers in blood components

Diem

2018

Journal of Biophotonics

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The search for disease markers in whole blood, or easily accessible blood components by spectral methods is a highly important aspect in the field of biophotonic research for disease diagnostics and screening, since it promises a minimally invasive approach to assess an individual's state of health. Fourier transform infrared spectroscopy, in particular, promises to be a fast, inexpensive method to search for markers of disease, since it detects variation in the proteome, lipidome and metabolome of biofluids, or activation of immune cells. However, the analysis of any materials by spectral methods is confounded by external factors such as those related to sample deposition and data acquisition, and by inherent variations in blood plasma concentration of small molecules (lactate, carbonate, phosphate, glucose) that varies between individual subjects and even for a given individual, as a function of time. Furthermore, observed differences in spectral patterns between patient samples and the control group may be due to the body's immune response (in particular, to the albumin to globulin ratio) and therefore, may not be specific to disease. These factors need to be accounted for in any effort to reliably detect much smaller variations in the concentration of disease-specific markers.

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“…Over the past 15 years, the potential of Raman spectroscopy together with multivariate statistical analysis has been demonstrated for the detection of a variety of cancers, including cervical cancer . In initial infrared spectroscopy studies on cervical cytopathology samples , spectra were recorded from cell pellets rather than from single cells and the presence of metaplastic cells, endocervical columnar cells, polymorphs, blood, cervical mucus and debris were all identified as confounding factors . Recent studies by Ramos et al and Bonnier et al addressed the variability in Raman spectra from cervical smear samples and reported a new method to clear blood residue contamination before Raman spectroscopy based on pre‐treatment of the slides with hydrogen peroxide.…”

Section: Introductionmentioning

confidence: 99%

A study of hormonal effects in cervical smear samples using Raman spectroscopy

Traynor

Kearney

Ramos

et al. 2018

Journal of Biophotonics

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Raman spectroscopy is a powerful tool that has the potential to be used as a screening method for cervical cancer. It is a label-free, low-cost method providing a biochemical fingerprint of a given sample. The objective of this study was to address patient-to-patient variability contributed by hormonal effects due to the menstrual cycle, the use of hormone-based contraceptives (HC) and the onset of menopause, and to determine if these changes would affect the ability to successfully identify dyskaryotic cells. Raman spectra were recorded from unstained ThinPrep cervical samples (45 cytology negative and 15 high-grade dyskaryosis (high-grade squamous intraepithelial lesion, HSIL) samples using a HORIBA Jobin Yvon XploRA system. HPV DNA testing was also performed. Clinical data collected included date of the last menstrual period, the use of HC and/or menopausal status. Spectral changes were observed depending on the day of the menstrual cycle and on the use of HC. Despite this, HSIL could be discriminated from normal cells regardless of the day on which the sample was taken or the use of HC.

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FTIR microspectroscopic study of cell types and potential confounding variables in screening for cervical malignancies

Cited by 51 publications

References 0 publications

Suitability of infrared microspectroscopic imaging for histopathology of the uterine cervix

Suitability of infrared microspectroscopic imaging for histopathology of the uterine cervix

Comments on recent reports on infrared spectral detection of disease markers in blood components

A study of hormonal effects in cervical smear samples using Raman spectroscopy

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