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利用5-氨基乙酰丙酸诱导的原卟啉IX荧光的数字化内镜成像在体内检测和诊断口腔癌前病变及恶性病变。

The use of digitized endoscopic imaging of 5-ALA-induced PPIX fluorescence to detect and diagnose oral premalignant and malignant lesions in vivo.

作者信息

Zheng Wei, Olivo Malini, Soo Khee Chee

机构信息

Division of Medical Sciences, National Cancer Centre, Singapore.

出版信息

Int J Cancer. 2004 Jun 10;110(2):295-300. doi: 10.1002/ijc.20080.

Abstract

5-aminolevulinic acid (ALA)-induced protoporphyrin IX (PPIX) fluorescence has shown an outstanding sensitivity for the assessment of oral lesions, but its application was hampered by low specificity due to the high false-positive rates. The purpose of our study was to explore the feasibility of quantifying PPIX fluorescence images to improve the diagnostic specificity for detecting early oral lesions in vivo. A digitized 5-ALA-mediated endoscopic imaging system was utilized to acquire PPIX fluorescence images from in vivo oral tissues. Forty-nine patients (118 biopsies) with known or suspected premalignant or malignant oral lesions were recruited for ALA-PPIX fluorescence endoscopic imaging. The red and blue channels of PPIX fluorescence images were digitized and stored for fluorescence quantification. The red-to-blue intensity ratios were calculated from the fluorescence images to correlate with histologic findings of the biopsies. The results showed that normal oral mucosa exhibited blue color of the back-scattered excitation light in the fluorescence images, whereas the suspicious lesions displayed bright reddish fluorescence. Applying the red-to-blue intensity ratio (I(R)/I(B)) as a diagnostic algorithm yielded a sensitivity of 92% and 98%, and specificity of 96% and 96%, for separating benign tissue from dysplasia, and cancer tissue, respectively, and a sensitivity and specificity of 98% and 92%, respectively, for differentiating cancer tissue from dysplasia in the oral cavity. Our study demonstrates that quantifying ALA-PPIX fluorescence endoscopic images associated with the red-to-blue intensity ratio as a diagnostic algorithm can provide good differentiation between the different stages of oral premalignancy and malignancy (p<0.0001, unpaired 2-sided Student's t-test), and thus has a potential to significantly improve the noninvasive diagnosis and evaluation of early oral neoplasia in vivo.

摘要

5-氨基酮戊酸(ALA)诱导的原卟啉IX(PPIX)荧光在口腔病变评估中显示出极高的灵敏度,但由于假阳性率高,其应用受到低特异性的限制。我们研究的目的是探索量化PPIX荧光图像以提高体内早期口腔病变检测诊断特异性的可行性。利用数字化的5-ALA介导的内镜成像系统从体内口腔组织获取PPIX荧光图像。招募了49例已知或疑似口腔癌前病变或恶性病变的患者(118次活检)进行ALA-PPIX荧光内镜成像。对PPIX荧光图像的红色和蓝色通道进行数字化处理并存储以进行荧光定量。从荧光图像计算红/蓝强度比,以与活检的组织学结果相关联。结果表明,正常口腔黏膜在荧光图像中呈现后向散射激发光的蓝色,而可疑病变则显示明亮的红色荧光。将红/蓝强度比(I(R)/I(B))作为诊断算法,区分良性组织与发育异常组织以及癌组织的灵敏度分别为92%和98%,特异性分别为96%和96%;区分口腔癌组织与发育异常组织的灵敏度和特异性分别为98%和92%。我们的研究表明,将与红/蓝强度比相关的ALA-PPIX荧光内镜图像量化作为诊断算法,可以很好地区分口腔癌前病变和恶性病变的不同阶段(p<0.0001,非配对双侧Student t检验),因此有潜力显著改善体内早期口腔肿瘤的无创诊断和评估。

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