Post-prostatectomy spatial frequency domain imaging for positive margins identification using endogenous tissue fluorescence, absorption and scattering (Conference Presentation)

Émile Beaulieu, Audrey Laurence, M. Latour, R. Albadine, D. Trudel, F. Leblond
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Abstract

Prostate cancer is the most diagnosed form of cancer among American men and, in vast proportion, the standard of care treatment includes radical prostatectomy. Important risk factors associated with prostatectomies are the presence of post-surgery residual prostate tissue and positive cancer margins, potentially leading to recurrences. Prostate histopathology analysis following the procedure is used to determine follow-up treatment. However, only a limited fraction of the prostate margins can be sampled, which can lead to suboptimal evaluation and treatment. Here we present the development of a wide-field multimodal imaging system designed to quantify intrinsic tissue fluorescence and map scattering and absorption coefficients using spatial frequency domain imaging (SFDI). The system allows targeting of suspicious prostate regions to guide histopathology analysis, aiming to improve diagnostic accuracy and treatment planning. Tissue excitation for endogenous fluorescence is achieved with a 405 nm laser diode and, for SFDI, a digital light projector transmits structured white light used to reconstruct tissue optical properties (absorption, scattering) between 420 and 720 nm. A light transport model-based quantification algorithm then corrects the fluorescence spectra for tissue attenuation, lending a biomarker that correlates with local fluorophore concentrations. Spectral and spatial calibration of both modalities was done on optical phantoms and validation of the fluorescence quantification on biological tissue. Finally, imaging results are presented for 5 human prostates interrogated with the system, along with spatially-registered histopathology analyses. Future work involves massive data acquisition and development of artificial intelligence models for tissue classification (prostate, non-prostate; healthy, cancerous) and adaptation for intraoperative use.
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前列腺切除术后空间频域成像用于内源性组织荧光、吸收和散射的阳性边缘识别(会议报告)
前列腺癌是美国男性中诊断最多的癌症,在很大程度上,标准的护理治疗包括根治性前列腺切除术。与前列腺切除术相关的重要危险因素是术后残留前列腺组织和阳性癌缘的存在,这可能导致复发。手术后的前列腺组织病理学分析用于确定后续治疗。然而,只有有限部分的前列腺边缘可以采样,这可能导致不理想的评估和治疗。在这里,我们提出了一个宽视场多模态成像系统的发展,旨在量化本征组织荧光和地图散射和吸收系数使用空间频域成像(SFDI)。该系统允许针对可疑的前列腺区域来指导组织病理学分析,旨在提高诊断准确性和治疗计划。内源性荧光的组织激发是通过405 nm激光二极管实现的,对于SFDI,数字光投影仪传输结构白光,用于重建420至720 nm之间的组织光学特性(吸收、散射)。然后,基于光传输模型的量化算法校正组织衰减的荧光光谱,提供与局部荧光团浓度相关的生物标志物。两种模式的光谱和空间校准都是在光学幻象上进行的,并对生物组织的荧光定量进行了验证。最后,我们展示了用该系统查询的5例人类前列腺的成像结果,以及空间记录的组织病理学分析。未来的工作包括大量数据采集和组织分类(前列腺、非前列腺;健康、癌变)和适应术中使用。
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