Label-free reflectance hyperspectral imaging for tumor margin assessment: a pilot study on surgical specimens of cancer patients.
Label-free reflectance hyperspectral imaging for tumor margin assessment: a pilot study on surgical specimens of cancer patients.
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无标签反射率高光谱成像用于肿瘤边缘评估：一项针对癌症患者手术标本的试点研究。
DOI：
10.1117/1.jbo.22.8.086009
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发表时间：
2017-08
影响因子：
3.5
通讯作者：
Chen AY
中科院分区：
文献类型：
--
作者：
Fei B;Lu G;Wang X;Zhang H;Little JV;Patel MR;Griffith CC;El-Diery MW;Chen AY
一种无标记的高光谱成像(HSI)方法已被提出用于肿瘤边缘评估。HSI数据，即超立方体，由在不同波长获取的同一视场的一系列高分辨率图像组成。HSI图像上的每个像素都有一个光谱。在这项试验性的临床研究中，一种基于机器学习的HSI数据量化方法被实施，并在患者样本中进行了评估。HSI数据的光谱特征被用于癌症和正常组织的分类。手术组织标本取自16例头颈部(H&N)癌手术患者。从每个标本中获取HSI、自体荧光图像和2-deoxy-2-[(7-nitro-2，1，3-benzoxadiazol-4-yl)amino]-D-glucose(2-NBDG)和前列腺素的荧光图像。数字化组织切片由H&N病理学家检查。HSI和分类方法能够区分口腔中的癌组织和正常组织，其平均准确性、敏感性和特异性。对于甲状腺组织标本，该方法达到了平均准确度、灵敏度和特异度。HSI优于自体荧光成像或活性染料(2-NBDG或前列腺素)的荧光成像。本研究证实了无标记HSI用于H&N癌患者手术组织标本肿瘤边缘评估的可行性。HSI技术的进一步发展为其在影像引导手术中的应用奠定了基础。
A label-free, hyperspectral imaging (HSI) approach has been proposed for tumor margin assessment. HSI data, i.e., hypercube , consist of a series of high-resolution images of the same field of view that are acquired at different wavelengths. Every pixel on an HSI image has an optical spectrum. In this pilot clinical study, a pipeline of a machine-learning-based quantification method for HSI data was implemented and evaluated in patient specimens. Spectral features from HSI data were used for the classification of cancer and normal tissue. Surgical tissue specimens were collected from 16 human patients who underwent head and neck (H&N) cancer surgery. HSI, autofluorescence images, and fluorescence images with 2-deoxy-2-[(7-nitro-2,1,3-benzoxadiazol-4-yl)amino]-D-glucose (2-NBDG) and proflavine were acquired from each specimen. Digitized histologic slides were examined by an H&N pathologist. The HSI and classification method were able to distinguish between cancer and normal tissue from the oral cavity with an average accuracy of , sensitivity of , and specificity of . For tissue specimens from the thyroid, the method achieved an average accuracy of , sensitivity of , and specificity of . HSI outperformed autofluorescence imaging or fluorescence imaging with vital dye (2-NBDG or proflavine). This study demonstrated the feasibility of label-free, HSI for tumor margin assessment in surgical tissue specimens of H&N cancer patients. Further development of the HSI technology is warranted for its application in image-guided surgery.
DOI：
10.1117/12.2006492
发表时间：
2013-03-29
期刊：
Proceedings of SPIE--the International Society for Optical Engineering
影响因子：
--
作者：
Halig LV;Wang D;Wang AY;Chen ZG;Fei B
通讯作者：
Fei B