Detection of Cancer Metastasis Using a Novel Macroscopic Hyperspectral Method.
Detection of Cancer Metastasis Using a Novel Macroscopic Hyperspectral Method.
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DOI：
10.1117/12.912026
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Fei B
中科院分区：
文献类型：
--
作者：
Akbari H;Halig LV;Zhang H;Wang D;Chen ZG;Fei B
拟议的宏观光学组织病理学包括一个宽带光源，用于照明可疑病理的组织玻璃玻片，以及一个高光谱相机，捕获从450到950 nm的所有波长段。该系统已经过训练，可以根据预定的病理情况对每个组织切片进行分类，其中光的波长在预定的波长范围内。该技术能够同时获取组织的空间数据和光谱数据。将高转移的人头颈部癌细胞移植到裸鼠体内。2~3周后，处死小鼠，取淋巴结和肺组织做病理检查。转移性癌症是在淋巴和肺部进行研究的。病理切片用高光谱相机成像。将所提方法的结果与病理报告进行了比较。利用高光谱图像，创建了不同组织的光谱标志库。利用支持向量机对高维数据进行分类。这些光谱是在淋巴结和肺组织的癌组织和非癌组织中提取的。将谱维度作为支持向量机的输入。12个眼镜被用于培训和评估。研究采用留一法交叉验证法。经过训练，支持向量机方法对肺组织切片和淋巴结切片中转移癌的检测特异性分别为97.7%和98.3%，敏感性分别为92.6%和96.2%。这种方法可能能够帮助病理学家在短时间内对许多组织切片进行评估。
The proposed macroscopic optical histopathology includes a broad-band light source which is selected to illuminate the tissue glass slide of suspicious pathology, and a hyperspectral camera that captures all wavelength bands from 450 to 950 nm. The system has been trained to classify each histologic slide based on predetermined pathology with light having a wavelength within a predetermined range of wavelengths. This technology is able to capture both the spatial and spectral data of tissue. Highly metastatic human head and neck cancer cells were transplanted to nude mice. After 2–3 weeks, the mice were euthanized and the lymph nodes and lung tissues were sent to pathology. The metastatic cancer is studied in lymph nodes and lungs. The pathological slides were imaged using the hyperspectral camera. The results of the proposed method were compared to the pathologic report. Using hyperspectral images, a library of spectral signatures for different tissues was created. The high-dimensional data were classified using a support vector machine (SVM). The spectra are extracted in cancerous and non-cancerous tissues in lymph nodes and lung tissues. The spectral dimension is used as the input of SVM. Twelve glasses are employed for training and evaluation. The leave-one-out cross-validation method is used in the study. After training, the proposed SVM method can detect the metastatic cancer in lung histologic slides with the specificity of 97.7% and the sensitivity of 92.6%, and in lymph node slides with the specificity of 98.3% and the sensitivity of 96.2%. This method may be able to help pathologists to evaluate many histologic slides in a short time.
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影响因子：
3.7
作者：
Kashani AH;Kirkman E;Martin G;Humayun MS
通讯作者：
Humayun MS
DOI：
10.1682/jrrd.2007.03.0046
发表时间：
2008-01-01
影响因子：
--
作者：
Bogie, Kath;Wang, Xiaofeng;Sun, Jiayang
通讯作者：
Sun, Jiayang
影响因子：
4.7
作者：
Cohenford, MA;Godwin, TA;Rigas, B
通讯作者：
Rigas, B
DOI：
10.1109/tgrs.2005.846154
发表时间：
2005-06-01
影响因子：
8.2
作者：
Camps-Valls, G;Bruzzone, L
通讯作者：
Bruzzone, L
影响因子：
3.6
作者：
Dicker, David T.;Lerner, Jeremy;El-Deiry, Wafik S.
通讯作者：
El-Deiry, Wafik S.