Fractal dimension of time-resolved autofluorescence discriminates tumour from healthy tissues in the oral cavity

J Craniomaxillofac Surg. 2014 Sep;42(6):852-4. doi: 10.1016/j.jcms.2013.12.004. Epub 2013 Dec 25.

Abstract

Early detection and complete resection of oral carcinomas is of crucial importance for patient survival. This could be significantly improved by developing a non-invasive, sensitive and real-time detection technique. Time-resolved autofluorescence measurement is state-of-the-art technology originally developed for non-destructive inspection of material. In this study, we measured time-resolved autofluorescence in tumours and healthy tissues of the oral cavity ex vivo and calculated the corresponding fractal dimension which was significantly higher in tumours than in healthy tissues (1.8 vs. 1.6, P < 0.001, unpaired t-test) with non-overlapping 95% confidential intervals 1.88-1.84 and 1.57-1.69, respectively. Very high specificity (86%) could be reached at 100% sensitivity. The area under the curve was 99%, further suggesting the superior prediction potential of fractal dimension based on time-resolved autofluorescence spectra.

Keywords: Fractal dimension; Oral squamous cell carcinoma; Real-time cancer cell detection; Surgical margins; Time-resolved fluorescence spectra.

MeSH terms

  • Area Under Curve
  • Carcinoma, Squamous Cell / diagnosis
  • Early Detection of Cancer
  • Fluorescence
  • Forecasting
  • Fractals*
  • Humans
  • Lasers
  • Mouth Mucosa / anatomy & histology*
  • Mouth Neoplasms / diagnosis*
  • Optical Imaging / methods*
  • Sensitivity and Specificity
  • Spectrometry, Fluorescence / instrumentation
  • Time Factors