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通过5-氨基乙酰丙酸诱导的原卟啉IX荧光的数字化内镜成像检测口腔肿瘤

Detection of neoplasms in the oral cavity by digitized endoscopic imaging of 5-aminolevulinic acid-induced protoporphyrin IX fluorescence.

作者信息

Zheng Wei, Soo Khee Chee, Sivanandan Ranjiv, Olivo Malini

机构信息

Division of Medical Sciences, National Cancer Centre, Singapore 169610.

出版信息

Int J Oncol. 2002 Oct;21(4):763-8.

Abstract

Studies of 5-aminolevulinic acid (5-ALA) induced protoporphyrin IX (PPIX) fluorescence have shown a sensitivity of 95-100% for oral cancer diagnosis, but the specificity is only about 50-60%. To improve the diagnostic specificity, a 5-ALA mediated digitized fluorescence endoscopic imaging system was built in this study to enable the on-line image acquisition, analysis and fluorescence quantification for the early detection of neoplasms in the oral cavity. PPIX fluorescence endoscopy and fluorescence image quantification were performed on 16 patients with known or suspected premalignant or malignant lesions in the oral cavity. Preliminary data from the head and neck clinical trials show that the red-to-blue intensity ratio of malignant tissue is larger than that of benign tissue. By applying the intensity ratio as a diagnostic algorithm, both high specificity and sensitivity can be achieved for discriminating malignant tissue from benign tissue, and the capability of classifying different histopathological stages of oral lesions has also been demonstrated. It was found that the red fluorescence intensity distribution in the lesion area could also be obtained to better understand the situation of PPIX accumulations in the tissues. Our initial results indicate that the digitized endoscopic imaging system combined with the fluorescence image quantification method and the ratio diagnostic algorithm developed in this study has the potential to significantly improve the non-invasive diagnosis of early oral neoplasms in vivo.

摘要

对5-氨基乙酰丙酸(5-ALA)诱导的原卟啉IX(PPIX)荧光的研究表明,其对口腔癌诊断的敏感性为95%-100%,但特异性仅约为50%-60%。为提高诊断特异性,本研究构建了一种5-ALA介导的数字化荧光内镜成像系统,以实现口腔肿瘤早期检测的在线图像采集、分析和荧光定量。对16例已知或疑似口腔癌前或恶性病变的患者进行了PPIX荧光内镜检查和荧光图像定量分析。头颈部临床试验的初步数据表明,恶性组织的红/蓝强度比大于良性组织。通过将强度比作为诊断算法,在区分恶性组织和良性组织时可实现高特异性和高敏感性,并且还证明了其对口腔病变不同组织病理学阶段进行分类的能力。研究发现,还可以获得病变区域的红色荧光强度分布,以更好地了解组织中PPIX的积聚情况。我们的初步结果表明,本研究开发的数字化内镜成像系统结合荧光图像定量方法和比率诊断算法,有可能显著改善早期口腔肿瘤的体内无创诊断。

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