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Early and accurate detection of neoplastic changes remains a critical challenge in bladder cancer diagnosis and treatment. Using existing cystoscopy guided techniques, direct visualization of the tumor is limited to the surface of the bladder. Assessment of sub-surface three-dimensional (3D) tumor extension and sub-surface tumor margin is a challenge. In our study, we developed a laparoscopic optical coherence tomography (OCT) imaging platform based on a rigid Gradient Index (GRIN) lenses (diameter ~ 4.5 mm) for imaging subsurface bladder tissues. Bladder tissues from UPII-SV40T mice models were imaged by this system ex vivo and algorithm was developed to quantify sub-surface tumor extension.
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Chen Wang, Venkateshwar Madka, Feng Yan, Sanjay G. Patel, Chinthalapally V. Rao, Qinggong Tang, "Laparoscopic optical coherence tomography system for 3D bladder tumor detection," Proc. SPIE 11619, Advanced Photonics in Urology, 116190J (5 March 2021); https://doi.org/10.1117/12.2579003