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19 April 2017 Prostate cancer diagnosis with fluorescence lifetime imaging (Conference Presentation)
Shamira Sridharan, Regina F. Gandour-Edwards, Marc Dall'Era, Laura Marcu
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Proceedings Volume 10038, Therapeutics and Diagnostics in Urology: Lasers, Robotics, Minimally Invasive, and Advanced Biomedical Devices; 1003803 (2017) https://doi.org/10.1117/12.2253233
Event: SPIE BiOS, 2017, San Francisco, California, United States
Abstract
More than 1 million men in the United States undergo a prostate biopsy procedure annually and approximately 200,000 men receive a diagnosis of prostate cancer. 5-10% of these men have to undergo a repeat biopsy due to insufficient tissue sampling. We are studying the utility of a multi-spectral time resolved fluorescence spectroscopy (MS-TRFS) technique for real-time prostate cancer diagnosis. The MS-TRFS imaging setup, which includes a fiberoptic set-up with a 355nm excitation light source coupled with a blue (450nm) aiming beam, was used to image ex-vivo prostatectomy specimen. The prostate tissue from 11 patients was sectioned at 2mm thickness and the fluorescence lifetime information was overlaid spatially for histology and thus, diagnostic co-registration. Initial results show that fluorescence lifetime in the 390±40nm channel, which measures collagen and elastin signatures, is longer for glandular regions than in the stromal regions. Additionally, lifetime in the 452±45nm channel, corresponding to NAD redox state, is longer in the cancerous glandular region in comparison with the normal glandular regions. Current work is focused on developing real-time quantitative algorithms to combine the fluorescence signatures from the two channels for performing prostate cancer diagnosis on biopsies.
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Shamira Sridharan, Regina F. Gandour-Edwards, Marc Dall'Era, and Laura Marcu "Prostate cancer diagnosis with fluorescence lifetime imaging (Conference Presentation)", Proc. SPIE 10038, Therapeutics and Diagnostics in Urology: Lasers, Robotics, Minimally Invasive, and Advanced Biomedical Devices, 1003803 (19 April 2017); https://doi.org/10.1117/12.2253233
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KEYWORDS
Prostate cancer
Biopsy
Luminescence
Algorithm development
Fluorescence lifetime imaging
Prostate
Tissues
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