拉曼光谱用于肿瘤边缘的识别
Fluorescence-Guided Raman Spectroscopy for Tumour Margin Delineation
摘要：
可疑病变的初步检测和识别以及肿瘤边缘的精确描绘对于成功的肿瘤切除至关重要，无进展生存率与完全切除率相关。然而，许多癌症的术后阳性边缘率仍然很高，尽管术中成像和诊断技术取得了许多进展，但没有一种方法可以充分进行肿瘤检测和描绘。在这里，我们展示了一个多模式的计算机视觉为基础的诊断系统，既能够粗略检测和识别可疑病变和疾病边缘的精确划定。我们首先表明，通过视觉跟踪的光谱探针，我们能够实时肿瘤边缘划定体外人类肿瘤活检和体内肿瘤异种移植小鼠模型。然后，我们证明，结合拉曼光谱诊断与原卟啉IX（PPIX）荧光成像，使荧光引导的拉曼光谱边缘划定。我们的荧光引导拉曼光谱系统实现了优于单独荧光成像的边缘描绘准确性，证明了我们的系统在肿瘤切除手术中实现改善临床结果的潜力。
英文摘要：
The initial detection and identification of suspicious lesions and the precise delineation of tumour mar-gins are essential for successful tumour resection, with progression-free survival linked to rates of complete resection. However, post-surgical positive margin rates remain high for many cancers and despite numerous advances in intraoperative imaging and diagnostic technologies, there exists no single modality that can adequately perform both tumoural detection and delineation. Here, we demonstrate a multimodal computer vision-based diagnostic system capable of both the gross detection and identification of suspicious lesions and the precise delineation of disease margins. We first show that through visual tracking of a spectroscopic probe, we enable real-time tumour margin delineation both for ex vivo human tumour biopsies and for an in vivo tumour xenograft mouse model. We then demonstrate that the combination of Raman spectroscopic diagnoses with protoporphyrin IX (PPIX) fluorescence imaging enables fluorescence-guided Raman spectroscopic margin delineation. Our fluorescence-guided Raman spectroscopic system achieves superior margin delineation accuracy to fluorescence imaging alone, demonstrating the potential for our system to achieve improved clinical outcomes for tumour resection surgeries.
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