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将拉曼光谱系统集成到机器人辅助手术系统中,以实现根治性前列腺切除术过程中的实时组织特征分析。

Integration of a Raman spectroscopy system to a robotic-assisted surgical system for real-time tissue characterization during radical prostatectomy procedures.

机构信息

Polytechnique Montreal, Montreal, Canada.

Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, Canada.

出版信息

J Biomed Opt. 2019 Feb;24(2):1-10. doi: 10.1117/1.JBO.24.2.025001.

Abstract

Surgical excision of the whole prostate through a radical prostatectomy procedure is part of the standard of care for prostate cancer. Positive surgical margins (cancer cells having spread into surrounding nonresected tissue) occur in as many as 1 in 5 cases and strongly correlate with disease recurrence and the requirement of adjuvant treatment. Margin assessment is currently only performed by pathologists hours to days following surgery and the integration of a real-time surgical readout would benefit current prostatectomy procedures. Raman spectroscopy is a promising technology to assess surgical margins: its in vivo use during radical prostatectomy could help insure the extent of resected prostate and cancerous tissue is maximized. We thus present the design and development of a dual excitation Raman spectroscopy system (680- and 785-nm excitations) integrated to the robotic da Vinci surgical platform for in vivo use. Following validation in phantoms, spectroscopic data from 20 whole human prostates immediately following radical prostatectomy are obtained using the system. With this dataset, we are able to distinguish prostate from extra prostatic tissue with an accuracy, sensitivity, and specificity of 91%, 90.5%, and 96%, respectively. Finally, the integrated Raman spectroscopy system is used to collect preliminary spectroscopic data at the surgical margin in vivo in four patients.

摘要

通过根治性前列腺切除术切除整个前列腺是前列腺癌标准治疗的一部分。多达五分之一的病例会出现阳性手术切缘(癌细胞扩散到周围未切除的组织中),并且与疾病复发和辅助治疗的需要密切相关。目前,边缘评估仅由病理学家在手术后数小时至数天进行,而实时手术读数的整合将有益于当前的前列腺切除术。拉曼光谱是评估手术边缘的一种很有前途的技术:它在根治性前列腺切除术中的体内应用可以帮助确保最大限度地切除前列腺和癌组织。因此,我们提出了一种双激发拉曼光谱系统(680nm 和 785nm 激发)的设计和开发,并将其集成到机器人达芬奇手术平台中进行体内使用。在对模型进行验证后,使用该系统获得了 20 例刚进行根治性前列腺切除术后的全人类前列腺的光谱数据。使用该数据集,我们能够以 91%、90.5%和 96%的准确率、灵敏度和特异性区分前列腺和前列腺外组织。最后,该集成的拉曼光谱系统用于在四名患者体内的手术切缘处收集初步的光谱数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e20/6987653/599acd4177ee/JBO-024-025001-g001.jpg

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