2011
DOI: 10.1117/1.3589099
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In vivo diagnosis of colonic precancer and cancer using near-infrared autofluorescence spectroscopy and biochemical modeling

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Cited by 34 publications
(20 citation statements)
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“…The increased hemoglobin content for colonic cancer could be attributed to the increased microvasculatures in malignant tumors [36,43]. The above observation is also consistent with previous NIR autofluorescence study in colonic cancer [44]. Further, the changes of tissue microstructural scattering properties (e.g.…”
Section: Resultssupporting
confidence: 80%
See 1 more Smart Citation
“…The increased hemoglobin content for colonic cancer could be attributed to the increased microvasculatures in malignant tumors [36,43]. The above observation is also consistent with previous NIR autofluorescence study in colonic cancer [44]. Further, the changes of tissue microstructural scattering properties (e.g.…”
Section: Resultssupporting
confidence: 80%
“…Interestingly, m 22 and m 33 element are identical not only for normal colon tissues, but also for the cancerous colon tissues. Besides, the magnitude of m 22 and m 33 are much higher than that of m 44 , indicating that the backscattered light is less depolarized when the incident light is linearly rather than circularly polarized. The magnitudes of m 22 and m 33 are higher for colon cancer than normal colon tissue, indicating a lower depolarization power of colon cancer tissues.…”
Section: Resultsmentioning
confidence: 98%
“…One of them is due to the background noise caused by excitation leaks and fluorescence from superficial layers. While the natural fluorescence of tissues may be used as a means of study, [5][6][7][8] it is an obstacle for fluorescence reflectance imaging because it causes the depths addressed to be small (several millimeters): the detected signals decrease exponentially with depth while the background noise remains the same.…”
Section: Introductionmentioning
confidence: 99%
“…The architectural and biochemical differences between a normal and a cancerous tissue affect the interaction of light with the tissue and produce different spectral signatures in both cases, thus allowing the tissues to be differentiated. Autofluorescence [30][31][32][33] and reflectance [34][35][36][37] spectroscopy are techniques that extract these spectral signatures usually using blue light and white light, respectively. Both techniques are currently largely being actively investigated by different groups around the world.…”
Section: Introductionmentioning
confidence: 99%