Preliminary evaluation of two fluorescence imaging methods for the detection and the delineation of basal cell carcinomas of the skin

  • Stefan Andersson-Engels
  • , Gianfranco Canti
  • , Rinaldo Cubeddu
  • , Charlotta Eker
  • , Claes Af Klinteberg
  • , Antonio Pifferi
  • , Katarina Svanberg
  • , Sune Svanberg
  • , Paola Taroni
  • , Gianluca Valentini
  • , Ingrid Wang

Research output: Contribution to journalArticlepeer-review

Abstract

Background and Objective: Fluorescence techniques can provide powerful noninvasive means for medical diagnosis, based on the detection of either endogenous or exogenous fluorophores. The fluorescence of 8-aminolevulinic acid (ALA)-induced protoporphyrin IX (PpIX) has already shown promise for the diagnosis of tumors. The aim of the study was to investigate the localization of skin tumors after the topical application of ALA, by detecting the PpIX fluorescence either in the spectral or in the time domain. Study Design/Materials and Methods: Two fluorescence imaging systems were used to identify basal cell carcinomas of the skin in humans, after topical application of 20% ALA ointment. Both systems rely on the comparison between the exogenous and the endogenous fluorescence, performed either in the spectral domain or in the time domain. The first system works by using three images acquired through different spectral filters, whereas the second one measures the spatial map of the average fluorescence lifetime of the sample. Results: A clear demarcation of skin malignancies was successfully performed in vivo noninvasively with both fluorescence imaging systems. Conclusion: The two complementary approaches considered in the present study show promise for skin tumor detection and delineation based on specific fluorescence features.

Original languageEnglish
Pages (from-to)76-82
Number of pages7
JournalLasers in Surgery and Medicine
Volume26
Issue number1
DOIs
Publication statusPublished - 2000
Externally publishedYes

Keywords

  • δ-aminolevulinic acid
  • Basal cell carcinoma
  • Fluorescence imaging
  • Protoporphyrin IX
  • Tumor detection

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