Open Access
1 September 2008 Endoscopic image analysis of photosensitizer fluorescence as a promising noninvasive approach for pathological grading of bladder cancer in situ
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Abstract
Our aim is to apply image analysis on photosensitizer fluorescence and compare the relationship between histopathology and endoscopic fluorescence imaging. The correlation between hypericin fluorescence and histopathology of diseased tissue was explored in a clinical study involving 58 fluorescence cystoscopic images from 23 patients. Based on quantification of fluorescence colorimetric parameters extracted from the image analysis, diagnostic functions were developed to pathologically classify the bladder cancer. Our preliminary results show that the differences in fluorescence intensity ratios among the three different grades of bladder cancer are statistically significant. The results also show a decrease in macroscopic fluorescence intensity that correlated with higher cancer grades. By combining both the red-to-green and red-to-blue fluorescence intensity ratios into a 2-D scatter plot and defining diagnostic linear discrimination functions on the data points, this technique is able to yield an average sensitivity and specificity of around 68.6% and 86.1%, respectively, for pathological cancer grading of the three different grades of bladder cancer in our study. We conclude that our proposed approach in applying colorimetric intensity ratio analysis on hypericin fluorescence shows potential to optically grade bladder cancer in situ.
©(2008) Society of Photo-Optical Instrumentation Engineers (SPIE)
James Chen-Yong Kah, Weber K. O. Lau, Phuay Hoon Tan, Colin James Richard Sheppard, and Malini Olivo "Endoscopic image analysis of photosensitizer fluorescence as a promising noninvasive approach for pathological grading of bladder cancer in situ," Journal of Biomedical Optics 13(5), 054022 (1 September 2008). https://doi.org/10.1117/1.2981827
Published: 1 September 2008
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Cited by 20 scholarly publications.
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KEYWORDS
Luminescence

Bladder cancer

Tissues

Cancer

Image analysis

Bladder

Diagnostics

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