Mammary tumors in Sprague Dawley rats induced by N-ethyl-N-nitrosourea for evaluating terahertz imaging of breast cancer
Mammary tumors in Sprague Dawley rats induced by N-ethyl-N-nitrosourea for evaluating terahertz imaging of breast cancer
复制标题
N-乙基-N-亚硝基脲诱导 Sprague Dawley 大鼠乳腺肿瘤用于评估乳腺癌太赫兹成像
DOI：
10.1117/1.jmi.8.2.023504
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发表时间：
2021
影响因子：
2.4
通讯作者：
El-Shenawee, Magda
中科院分区：
文献类型：
--
作者：
Vohra, Nagma;Chavez, Tanny;Troncoso, Joel R.;Rajaram, Narasimhan;Wu, Jingxian;Coan, Patricia N.;Jackson, Todd A.;Bailey, Keith;El-Shenawee, Magda
目的：本研究的目的是定量评估太赫兹（THz）成像用于区分乳腺肿瘤中的癌性组织和非癌性组织，这些肿瘤是在注射N-乙基-N-亚硝基脲（ENU）后在Sprague道利大鼠（Sprague Dawley rats.Approach）中发展起来的。脉冲太赫兹成像系统被用来实验收集时域反射信号从每个像素的大鼠的切除肿瘤。实现了基于期望最大化（EM）分类方法的统计分割算法，以定量评估所获得的太赫兹图像。癌症的模型分类报告的受试者工作特征（ROC）曲线和曲线下面积。结果：获得的低倍显微镜图像的17个ENU-大鼠肿瘤切片表现出健康的结缔组织相邻癌组织的存在。结果还表明，与非癌组织相比，从癌组织接收到高反射THz信号。体面的肿瘤分类，实现使用EM方法的值范围从83%至96%，在新鲜组织和89%至96%，在福尔马林固定的石蜡包埋tissues.Conclusions：建议ENU乳腺癌模型的Sprague道利大鼠表现出潜在的获得癌组织，如人类乳腺肿瘤，邻近健康组织。所实现的EM分类算法定量地证明了THz成像区分癌组织和非癌组织的能力。
Purpose:The objective of this study is to quantitatively evaluate terahertz (THz) imaging for differentiating cancerous from non-cancerous tissues in mammary tumors developed in response to injection of N-ethyl-N-nitrosourea (ENU) in Sprague Dawley rats.Approach:While previous studies have investigated the biology of mammary tumors of this model, the current work is the first study to employ an imaging modality to visualize these tumors. A pulsed THz imaging system is utilized to experimentally collect the time-domain reflection signals from each pixel of the rat’s excised tumor. A statistical segmentation algorithm based on the expectation-maximization (EM) classification method is implemented to quantitatively assess the obtained THz images. The model classification of cancer is reported in terms of the receiver operating characteristic (ROC) curves and the areas under the curves.Results:The obtained low-power microscopic images of 17 ENU-rat tumor sections exhibited the presence of healthy connective tissue adjacent to cancerous tissue. The results also demonstrated that high reflection THz signals were received from cancerous compared with non-cancerous tissues. Decent tumor classification was achieved using the EM method with values ranging from 83% to 96% in fresh tissues and 89% to 96% in formalin-fixed paraffin-embedded tissues.Conclusions:The proposed ENU breast tumor model of Sprague Dawley rats showed a potential to obtain cancerous tissues, such as human breast tumors, adjacent to healthy tissues. The implemented EM classification algorithm quantitatively demonstrated the ability of THz imaging in differentiating cancerous from non-cancerous tissues.
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使用 N-乙基-N-亚硝基脲 (ENU) 进行小鼠诱变。
DOI：
10.1101/pdb.prot4985
发表时间：
2008
期刊：
CSH protocols
影响因子：
--
作者：
A. Salinger;M. Justice
通讯作者：
M. Justice
DOI：
10.1042/bj1250841
发表时间：
1971
期刊：
The Biochemical journal
影响因子：
--
作者：
P. F. Swann;P. Magee
通讯作者：
P. Magee
影响因子：
1.2
作者：
Vohra, Nagma;Bowman, Tyler;El-Shenawee, Magda
通讯作者：
El-Shenawee, Magda
影响因子：
2.4
作者：
Bowman, Tyler;Vohra, Nagma;El-Shenawee, Magda
通讯作者：
El-Shenawee, Magda
在 30 日龄 Sprague-Dawley 大鼠中用高单剂量 N-乙基-N-亚硝基脲诱导肿瘤，特别是乳腺肿瘤。
影响因子：
2
作者：
Stoica,G;Koestner,A;Capen,CC
通讯作者：
Capen,CC