Literature DB >> 9234922

Infrared spectroscopy of normal and abnormal cervical smears: evaluation by principal component analysis.

M A Cohenford1, T A Godwin, F Cahn, P Bhandare, T A Caputo, B Rigas.   

Abstract

Fourier-transform infrared (FT-IR) spectra of malignant and dysplastic cervical scrapings were abnormal, as first described in our study of a limited number of samples, where the spectra were evaluated by visual inspection and peak intensity ratios. We have expanded our study to evaluate more cervical conditions, and to analyze the spectra by a chemometric approach (principal component analysis [PCA]). Cervical samples from 436 females were evaluated by FT-IR and Papanicolaou testing; 40/436 spectra were nonanalyzable. The remaining were as follows: normal, 174; malignant, 19; dysplasia, 8; atypia, 113; atrophy, 19; inflammatory, 47; bloody smear, 12; hypocellular, 4. PCA analysis followed by chi2 test revealed that statistically significant frequencies of being predicted malignant by FT-IR were associated with samples diagnosed as malignant (P < 0.0001), and also those diagnosed as "atrophy" (P < 0.001), "atypical with bloody smear" (P < 0.05), "atypical with atrophic pattern" (P < 0.05), and "dysplasia" (P < 0.05). Based on these findings, for the diagnosis of cervical cancer by FT-IR, as defined here, the sensitivity is 79%, the specificity is 77%, the positive predictive value is 15%, and the negative predictive value is 98.6%. Our findings (a) demonstrate the application of a chemometric approach to the study of cervical FT-IR spectra; (b) assess its potential diagnostic role; (c) suggest that atrophic and neoplastic samples share structural features; and (d) suggest that blood may interfere with such spectroscopic evaluation. These findings warrant further evaluation of FT- IR spectroscopy in cervical and other malignancies.

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Year:  1997        PMID: 9234922     DOI: 10.1006/gyno.1997.4627

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  6 in total

1.  Fourier transform infrared (FTIR) spectral mapping of the cervical transformation zone, and dysplastic squamous epithelium.

Authors:  B R Wood; L Chiriboga; H Yee; M A Quinn; D McNaughton; M Diem
Journal:  Gynecol Oncol       Date:  2004-04       Impact factor: 5.482

2.  Cytologically normal cells from neoplastic cervical samples display extensive structural abnormalities on IR spectroscopy: implications for tumor biology.

Authors:  M A Cohenford; B Rigas
Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-22       Impact factor: 11.205

3.  Spectral cytopathology of cervical samples: detecting cellular abnormalities in cytologically normal cells.

Authors:  Jennifer M Schubert; Benjamin Bird; Kostas Papamarkakis; Milos Miljković; Kristi Bedrossian; Nora Laver; Max Diem
Journal:  Lab Invest       Date:  2010-04-05       Impact factor: 5.662

4.  Detection of Cancer Metastasis Using a Novel Macroscopic Hyperspectral Method.

Authors:  Hamed Akbari; Luma V Halig; Hongzheng Zhang; Dongsheng Wang; Zhuo Georgia Chen; Baowei Fei
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2012-03-23

5.  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

6.  Intelligent screening systems for cervical cancer.

Authors:  Yessi Jusman; Siew Cheok Ng; Noor Azuan Abu Osman
Journal:  ScientificWorldJournal       Date:  2014-05-11
  6 in total

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