Simple and optimum background-free estimation method of PPIX fluorescence for 5-ALA-based fluorescence diagnosis of malignant lesions
Simple and optimum background-free estimation method of PPIX fluorescence for 5-ALA-based fluorescence diagnosis of malignant lesions
复制标题
简单最优的PPIX荧光无背景估计方法用于基于5-ALA的恶性病变荧光诊断
DOI：
10.1117/12.2250780
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Takamatsu Tetsuro
中科院分区：
文献类型：
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作者：
Minamikawa Takeo;Matsuo Hisataka;Kato Yoshiyuki;Harada Yoshinori;Otsuji Eigo;Yanagisawa Akio;Tanaka Hideo;Takamatsu Tetsuro
准确、快速地评估淋巴结转移对肿瘤分期和治疗策略的制定具有重要意义。然而，一般的术中病理学评估需要至少几十分钟或更长的时间来进行转移诊断。5-基于氨基乙酰丙酸（5-ALA）的荧光诊断是一种准确和超快速诊断恶性病变的解决方案。基于5-ALA的诊断评估5-ALA的荧光代谢物原卟啉IX（PPIX）的荧光强度;然而，PPIX的荧光经常受到组织发色团（例如胶原蛋白和黄素）的自发荧光的影响。为了提高基于PPIX荧光的恶性病变诊断的准确性，需要消除自发荧光。在这项研究中，我们提出并实验证明了无背景PPIX荧光估计方法的简化和优化的多光谱成像。为了实现无背景的PPIX荧光估计，我们计算优化的观测波长区域，在典型的发色团，胶原蛋白和黄素的存在下，最大限度地减少PPIX荧光强度的预测误差。我们通过使用已知的化学混合物验证了我们的方法的基本检测能力。此外，我们将该方法应用于淋巴结转移，并成功地实现了无背景的淋巴结转移灶的组织病理学评价。我们的研究结果证实了PPIX荧光的无背景估计方法用于基于5-ALA的恶性病变荧光诊断的潜力，并且我们期望该方法有利于术中和快速癌症诊断。
Accurate and rapid evaluation of lymph node metastasis is required in tumor staging and the decision of treatment strategy. General intraoperative pathological evaluation, however, takes at least a few tens of minutes or longer for metastasis diagnosis. 5-aminolevulinic acid (5-ALA)-based fluorescence diagnosis is a solution for accurate and ultrarapid diagnosis of malignant lesions. 5-ALA-based diagnosis evaluates fluorescence intensity of a fluorescent metabolite of 5-ALA, protoporphyrin IX (PPIX); however, the fluorescence of PPIX is often affected by autofluorescence of tissue chromophores, such as collagen and flavins. To enhance the accuracy of the diagnosis of malignant lesions based on the PPIX fluorescence, elimination of the autofluroescence is required. In this study, we proposed and experimentally demonstrated background-free PPIX fluorescence estimation method by simplified and optimized multispectral imaging. To realize background-free PPIX fluorescence estimation, we computationally optimized observation wavelength regions in terms of minimizing prediction error of PPIX fluorescence intensity in the presence of typical chromophores, collagen and flavins. We verified the fundamental detection capability of our method by using known-chemical mixtures. Furthermore, we applied our method to lymph node metastasis, and successfully realized background-free histopathological evaluation of metastatic lesions of lymph node metastasis. Our results confirmed the potential of the background-free estimation method of PPIX fluorescence for 5-ALA-based fluorescence diagnosis of malignant lesions, and we expect this method to be beneficial for intraoperative and rapid cancer diagnosis.