Performance estimation of diagnostic tests for cervical precancer based on fluorescence spectroscopy: effects of tissue type sample size population and signal-to-noise ratio

Urs Utzinger, E. Vanessa Trujillo, E. Neely Atkinson, Michèle F. Mitchell, Scott B. Cantor, Rebecca Richards-Kortum

Research output: Contribution to journalArticle

28 Scopus citations

Abstract

Fluorescence spectroscopy may provide a costeffective tool to improve precancer detection. We describe a method to estimate the diagnostic performance of classifiers based on optical spectra and to explore the sensitivity of these estimations to factors affecting spectrometer cost. Fluorescence spectra were obtained at three excitation wavelengths in 92 patients with an abnormal Papanicolaou smear and 51 patients with no history of an abnormal smear. Bayesian classification rules were developed and evaluated at multiple misclassification costs. We explored the sensitivity of classifier performance to variations in tissue type sample size tested population signal to noise ratio (SNR) and number of excitation and emission wavelengths. Sensitivity and specificity could be evaluated within ±7%. Minimal decrease in diagnostic performance is observed as SNR is reduced to 15 the number of excitationemission wavelength combinations is reduced to 15 or the number of excitation wavelengths is reduced to one. Diagnostic performance is compromised when ultraviolet excitation is not included. Significant spectrometer cost reduction is possible without compromising diagnostic ability. Decision-analytic methods can be used to rate designs based on incremental cost-effectiveness.

Original languageEnglish (US)
Pages (from-to)1293-1303
Number of pages11
JournalIEEE Transactions on Biomedical Engineering
Volume46
Issue number11
DOIs
StatePublished - Dec 1 1999
Externally publishedYes

Keywords

  • Cervix
  • Cost-effectiveness analysis
  • Diagnosis
  • Fluorescence spectroscopy
  • Precancer
  • Signal-to-noise ratio (SNR)

ASJC Scopus subject areas

  • Biomedical Engineering

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