Literature DB >> 29729092

Improved removal of blood contamination from ThinPrep cervical cytology samples for Raman spectroscopic analysis.

Damien Traynor1, Shiyamala Duraipandian1, Cara M Martin2, John J O'Leary2, Fiona M Lyng1.   

Abstract

There is an unmet need for methods to help in the early detection of cervical precancer. Optical spectroscopy-based techniques, such as Raman spectroscopy, have shown great potential for diagnosis of different cancers, including cervical cancer. However, relatively few studies have been carried out on liquid-based cytology (LBC) pap test specimens and confounding factors, such as blood contamination, have been identified. Previous work reported a method to remove blood contamination before Raman spectroscopy by pretreatment of the slides with hydrogen peroxide. The aim of the present study was to extend this work to excessively bloody samples to see if these could be rendered suitable for Raman spectroscopy. LBC ThinPrep specimens were treated by adding hydrogen peroxide directly to the vial before slide preparation. Good quality Raman spectra were recorded from negative and high grade (HG) cytology samples with no blood contamination and with heavy blood contamination. Good classification between negative and HG cytology could be achieved for samples with no blood contamination (sensitivity 92%, specificity 93%) and heavy blood contamination (sensitivity 89%, specificity 88%) with poorer classification when samples were combined (sensitivity 82%, specificity 87%). This study demonstrates for the first time the improved potential of Raman spectroscopy for analysis of ThinPrep specimens regardless of blood contamination. (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).

Entities:  

Keywords:  Raman spectroscopy; ThinPrep; blood; blood removal; cervical cancer; cervical precancer; cytology

Mesh:

Year:  2018        PMID: 29729092     DOI: 10.1117/1.JBO.23.5.055001

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  3 in total

1.  Raman spectral cytopathology for cancer diagnostic applications.

Authors:  Damien Traynor; Isha Behl; Declan O'Dea; Franck Bonnier; Siobhan Nicholson; Finbar O'Connell; Aoife Maguire; Stephen Flint; Sheila Galvin; Claire M Healy; Cara M Martin; John J O'Leary; Alison Malkin; Hugh J Byrne; Fiona M Lyng
Journal:  Nat Protoc       Date:  2021-06-11       Impact factor: 13.491

2.  Raman Spectroscopy of Liquid-Based Cervical Smear Samples as a Triage to Stratify Women Who Are HPV-Positive on Screening.

Authors:  Damien Traynor; Cara M Martin; Christine White; Stephen Reynolds; Tom D'Arcy; John J O'Leary; Fiona M Lyng
Journal:  Cancers (Basel)       Date:  2021-04-22       Impact factor: 6.639

3.  Development and Validation of a Raman Spectroscopic Classification Model for Cervical Intraepithelial Neoplasia (CIN).

Authors:  Damien Traynor; Shiyamala Duraipandian; Ramya Bhatia; Kate Cuschieri; Prerna Tewari; Padraig Kearney; Tom D'Arcy; John J O'Leary; Cara M Martin; Fiona M Lyng
Journal:  Cancers (Basel)       Date:  2022-04-06       Impact factor: 6.639

  3 in total

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