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基于图像引导的拉曼光谱探针跟踪技术用于肿瘤边界勾画。

Image-guided Raman spectroscopy probe-tracking for tumor margin delineation.

机构信息

Imperial College London, Department of Materials, London, United Kingdom.

Imperial College London, Department of Bioengineering, London, United Kingdom.

出版信息

J Biomed Opt. 2021 Mar;26(3). doi: 10.1117/1.JBO.26.3.036002.

DOI:10.1117/1.JBO.26.3.036002
PMID:33715315
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7960531/
Abstract

SIGNIFICANCE

Tumor detection and margin delineation are essential for successful tumor resection. However, postsurgical positive margin rates remain high for many cancers. Raman spectroscopy has shown promise as a highly accurate clinical spectroscopic diagnostic modality, but its margin delineation capabilities are severely limited by the need for pointwise application.

AIM

We aim to extend Raman spectroscopic diagnostics and develop a multimodal computer vision-based diagnostic system capable of both the detection and identification of suspicious lesions and the precise delineation of disease margins.

APPROACH

We first apply visual tracking of a Raman spectroscopic probe to achieve real-time tumor margin delineation. We then combine this system with protoporphyrin IX fluorescence imaging to achieve fluorescence-guided Raman spectroscopic margin delineation.

RESULTS

Our system enables real-time Raman spectroscopic tumor margin delineation for both ex vivo human tumor biopsies and an in vivo tumor xenograft mouse model. We then further demonstrate that the addition of protoporphyrin IX fluorescence imaging enables fluorescence-guided Raman spectroscopic margin delineation in a tissue phantom model.

CONCLUSIONS

Our image-guided Raman spectroscopic probe-tracking system enables tumor margin delineation and is compatible with both white light and fluorescence image guidance, demonstrating the potential for our system to be developed toward clinical tumor resection surgeries.

摘要

意义

肿瘤检测和边缘描绘对于成功进行肿瘤切除至关重要。然而,许多癌症的术后阳性边缘率仍然很高。拉曼光谱已被证明是一种非常准确的临床光谱诊断方式,但由于需要逐点应用,其边缘描绘能力受到严重限制。

目的

我们旨在扩展拉曼光谱诊断,并开发一种基于多模态计算机视觉的诊断系统,该系统能够同时检测和识别可疑病变,并精确描绘病变边缘。

方法

我们首先应用拉曼光谱探头的视觉跟踪来实现实时肿瘤边缘描绘。然后,我们将该系统与原卟啉 IX 荧光成像相结合,以实现荧光引导的拉曼光谱边缘描绘。

结果

我们的系统能够实时对离体人类肿瘤活检标本和体内肿瘤异种移植小鼠模型进行拉曼光谱肿瘤边缘描绘。然后,我们进一步证明,添加原卟啉 IX 荧光成像可以在组织体模模型中实现荧光引导的拉曼光谱边缘描绘。

结论

我们的图像引导拉曼光谱探头跟踪系统能够进行肿瘤边缘描绘,并且与白光和荧光图像引导兼容,这表明我们的系统有可能开发为临床肿瘤切除手术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5710/7960531/48965c16a10d/JBO-026-036002-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5710/7960531/ad40843ca00a/JBO-026-036002-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5710/7960531/67aa1a0fc311/JBO-026-036002-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5710/7960531/8d7002e95b88/JBO-026-036002-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5710/7960531/acddd9ae9888/JBO-026-036002-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5710/7960531/48965c16a10d/JBO-026-036002-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5710/7960531/ad40843ca00a/JBO-026-036002-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5710/7960531/67aa1a0fc311/JBO-026-036002-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5710/7960531/8d7002e95b88/JBO-026-036002-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5710/7960531/acddd9ae9888/JBO-026-036002-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5710/7960531/48965c16a10d/JBO-026-036002-g005.jpg

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