Zheng Wei, Olivo Malini, Soo Khee Chee
Division of Medical Sciences, National Cancer Centre, Singapore.
Int J Cancer. 2004 Jun 10;110(2):295-300. doi: 10.1002/ijc.20080.
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.
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。