Infrared imaging in diagnosis of dysplastic nevi and malignant melanoma Kızılötesi işık ile atipik nevus ve malign melanom tesbiti


Engin B. , Keçici A. S. , Yilmaz S. , Kutlubay Z., Serdaroğlu Ü. S. , Tüzün Y.

Turkiye Klinikleri Journal of Medical Sciences, vol.36, no.1, pp.14-21, 2016 (Journal Indexed in SCI Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 36 Issue: 1
  • Publication Date: 2016
  • Doi Number: 10.5336/medsci.2015-47244
  • Title of Journal : Turkiye Klinikleri Journal of Medical Sciences
  • Page Numbers: pp.14-21

Abstract

© 2016 by Türkiye Klinikleri.Objective: The aim of this study is to handle the subjectivity of clinical observations in the diagnosis of dysplastic nevi and malignant melanoma, by using an alternative spectrophotometric method to simple dermatoscopic examination. Material and Methods: Images taken by CCD (Charge-coupled Device) camera with a 1280x1024 pixel resolution which is capable of taking snapshot images between 400-1000 nm wavelengths were converted to 2048×2560 size data and were subjected to digital image processing. For each lesion, three different images were captured at selected infrared wavelenghts of 770 nm, 810 nm, 850 nm and one image with visible light. Risk score analysis of the digital image processing was carried out on two main parameters. One is surface area risk score (SAR) and the other is pixel intensity risk score (PIR). The same lesions are also evaluated dermatoscopically and ABCD scores of each lesion were calculated. Results: Thirty nine patients with 47 pigmented lesions were included in the study. When all the statistical data were put together, positive correlation with ABCD scores is stronger for the images at 770 nm than the ones with 810 nm. Also when we consider all parameters which have been studied separately, the most meaningful correlation with ABCD scores was shown by “total surface area risk score”. Conclusion: Wavelengths of 770 nm and 850 nm seem to be optimal in terms of correlating with ABCD scores of the lesions. Also we need to determine the optimum wavelength range for the accurate diagnosis of melanocytic lesions.