Optimal excitation wavelengths for discrimination of cervical neoplasia

Sung K. Chang, Michele Follen, Anais Malpica, Urs Utzinger, Gregg Staerkel, Dennis Cox, E. Neely Atkinson, Calum MacAulay, Rebecca Richards-Kortum

Research output: Contribution to journalArticlepeer-review

64 Scopus citations


Fluorescence spectroscopy has shown promise for the in vivo, real-time detection of cervical neoplasia. However, selection of excitation wavelength has in the past been based on in vitro studies and the availability of light sources. The goal of this study was to determine optimal excitation wavelengths for in vivo detection of cervical neoplasia. Fluorescence excitation-emission matrices (EEMs) were measured in vivo from 351 sites in 146 patients. Data were analyzed in pairs of diagnostic classes to determine which combination of excitation wavelengths yields classification algorithms with the greatest sensitivity and specificity. We find that 330-340-, 350-380-, and 400-450-nm excitation yield the best performance. The sensitivity and specificity for discrimination of squamous normal tissue and high-grade squamous intraepithelial lesion (HGSIL) were 71% and 77% on cross validation using three excitation wavelengths. These results are comparable with those found in earlier in vivo studies; however, in this study we find that the proportion of samples which are HGSIL influences performance. Furthermore stratification of samples within low-grade squamous intraepithelial lesion and HGSIL also appears to influence diagnostic performance. Future diagnostic studies should be carried out at these excitation wavelengths in larger groups so that data can be stratified by diagnostic subcategory, age and menopausal status. Similarly, large studies should be done in screening populations.

Original languageEnglish (US)
Pages (from-to)1102-1111
Number of pages10
JournalIEEE Transactions on Biomedical Engineering
Issue number10
StatePublished - Oct 1 2002


  • Algorithm
  • Cancer diagnosis
  • Fluorescence spectroscopy

ASJC Scopus subject areas

  • Biomedical Engineering


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