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使用光谱积分技术对转移性淋巴结进行太赫兹成像。

Terahertz imaging of metastatic lymph nodes using spectroscopic integration technique.

作者信息

Park Jae Yeon, Choi Hyuck Jae, Cheon Hwayeong, Cho Seong Whi, Lee Seungkoo, Son Joo-Hiuk

机构信息

Department of Physics, University of Seoul, Seoul 130- 743, South Korea.

Department of Radiology, Kangwon National University Hospital, Chuncheon, South Korea.

出版信息

Biomed Opt Express. 2017 Jan 25;8(2):1122-1129. doi: 10.1364/BOE.8.001122. eCollection 2017 Feb 1.

Abstract

Terahertz (THz) imaging was used to differentiate the metastatic states of frozen lymph nodes (LNs) by using spectroscopic integration technique (SIT). The metastatic states were classified into three groups: healthy LNs, completely metastatic LNs, and partially metastatic LNs, which were obtained from three mice without infection and six mice infected with murine melanoma cells for 30 days and 15 days, respectively. Under histological examination, the healthy LNs and completely metastatic LNs were found to have a homogeneous cellular structure but the partially metastatic LNs had interfaces of the melanoma and healthy tissue. THz signals between the experimental groups were not distinguished at room temperature due to high attenuation by water in the tissues. However, a signal gap between the healthy and completely metastatic LNs was detected at freezing temperature. The signal gap could be enhanced by using SIT that is a signal processing method dichotomizing the signal difference between the healthy cells and melanoma cells with their normalized spectral integration. This technique clearly imaged the interfaces in the partially metastatic LNs, which could not be achieved by existing methods using a peak point or spectral value. The image resolution was high enough to recognize a metastatic area of about 0.7 mm size in the partially metastatic LNs. Therefore, this pilot study demonstrated that THz imaging of the frozen specimen using SIT can be used to diagnose the metastatic state of LNs for clinical application.

摘要

通过光谱积分技术(SIT),利用太赫兹(THz)成像来区分冷冻淋巴结(LN)的转移状态。转移状态分为三组:健康淋巴结、完全转移淋巴结和部分转移淋巴结,分别取自三只未感染的小鼠以及六只分别感染鼠黑色素瘤细胞30天和15天的小鼠。在组织学检查中,发现健康淋巴结和完全转移淋巴结具有均匀的细胞结构,但部分转移淋巴结存在黑色素瘤与健康组织的界面。由于组织中的水分导致高衰减,在室温下实验组之间的太赫兹信号无法区分。然而,在冷冻温度下检测到健康淋巴结和完全转移淋巴结之间的信号间隙。通过使用光谱积分技术(SIT)可以增强该信号间隙,SIT是一种信号处理方法,通过对健康细胞和黑色素瘤细胞之间的信号差异进行归一化光谱积分来二分该信号差异。这项技术清晰地成像了部分转移淋巴结中的界面,这是现有使用峰值点或光谱值的方法无法实现的。图像分辨率足够高,能够识别部分转移淋巴结中约0.7毫米大小的转移区域。因此,这项初步研究表明,使用光谱积分技术(SIT)对冷冻标本进行太赫兹成像可用于诊断淋巴结的转移状态以用于临床应用。

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