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  4. Fractal dimension of time-resolved autofluorescence discriminates tumour from healthy tissues in the oral cavity
 
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2014
Journal Article
Title

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

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.
Author(s)
Klatt, Jan
University Medical Center Hamburg-Eppendorf
Gerich, Carola E.
Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren IZFP  
Gröbe, Alexander
University Medical Center Hamburg-Eppendorf
Hanken, Henning
University Medical Center Hamburg-Eppendorf
Schreiber, Jürgen  
Fraunhofer-Institut für Keramische Technologien und Systeme IKTS  
Opitz, Jörg  
Fraunhofer-Institut für Keramische Technologien und Systeme IKTS  
Salomon, Georg
University Medical Center Hamburg-Eppendorf
Heiland, Max
University Medical Center Hamburg-Eppendorf
Kluwe, Lan
University Medical Center Hamburg-Eppendorf
Blessmann, Marco
University Medical Center Hamburg-Eppendorf
Journal
Journal of cranio-maxillofacial surgery  
DOI
10.1016/j.jcms.2013.12.004
Language
English
Fraunhofer-Institut für Keramische Technologien und Systeme IKTS  
Keyword(s)
  • Fractal dimension

  • Oral squamous cell carcinoma

  • Real-time cancer cell detection

  • Surgical margins

  • Time-resolved fluorescence spectra

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