To determine the extent of a natural variability of the spectra of the autofluorescence and its significance for a reproducibility of different approaches typically used in studies on fluorescence detection of colonic lesions. Two independent series of experiments have been conducted during three years in the same laboratory. Macroscopic tissue specimens obtained during operations of patients with colonic cancers were studied in vitro.
View Article and Find Full Text PDFMulticenter study of the diagnostic parameters was conducted by three groups in Poland to determine if in situ fluorescence detection of human cutaneous melanoma based on digital imaging of spectrally resolved autofluorescence can be used as a tool for a preliminary selection of patients at increased risk of the disease. Fluorescence examinations were performed for 7228 pigmented lesions in 4079 subjects. Histopathologic examinations showed 56 cases of melanoma.
View Article and Find Full Text PDFJ Photochem Photobiol B
June 1999
Native fluorescence (autofluorescence) of human tissues can be a valuable source of diagnostic information for detecting premalignant and malignant lesions in the human body. Digital imaging of autofluorescence may be useful for localization of such lesions during endoscopic examinations. Tissue fluorescence of 31 adenomatous polyps obtained from 16 patients has been excited in vitro using the 325 nm line of a He-Cd laser.
View Article and Find Full Text PDFThe objective of our study was to investigate whether digital imaging of autofluorescence could be applied in the detection of colonic malignancies. Autofluorescence was excited with a 325 nm line from a He-Cd laser. Images were recorded in vitro in six spectral bands.
View Article and Find Full Text PDFDigital images of autofluorescence excited with 366 nm Hg line were recorded in a narrow 475 nm band for 408 pigmented lesions of the skin (90 melanomas, 205 common melanocytic and dysplastic naevi, 113 lesions of different kinds) and analysed photometrically with respect to spatial distribution of intensity to differentiate between melanomas and other melanocytic lesions. Earlier reports describing patterns of intensity distributions characteristic for melanomas have not been confirmed in this study. However, our evaluations showed that an algorithm based on ratios of maximum intensity recorded outside the lesions and minimum intensity found within them, allows melanomas to be detected with a sensitivity of 82.
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