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使用光纤拉曼系统识别早期胃癌内镜黏膜下剥离标本中的病变组织和非病变组织

Identification of Lesional Tissues and Nonlesional Tissues in Early Gastric Cancer Endoscopic Submucosal Dissection Specimens Using a Fiber Optic Raman System.

作者信息

Luan Zhaohui, Qin Yusi, Dai Jianhua, Wu Hongbo, Chen Yao, Feng Xiaofeng, Peng Guiyong

机构信息

Endoscopic Center, Department of Gastroenterology, Third Military Medical University, Southwest Hospital, China.

出版信息

Gastroenterol Res Pract. 2020 May 15;2020:8015024. doi: 10.1155/2020/8015024. eCollection 2020.

DOI:10.1155/2020/8015024
PMID:32508914
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7245655/
Abstract

AIM

To identify lesional and nonlesional tissues from early gastric cancer (EGC) patients by Raman spectroscopy to build a diagnostic model and effectively diagnose EGC.

METHOD

Specimens were collected by endoscopic submucosal dissection from 13 patients with EGC, and 55 sets of standard Raman spectral data (each integrated 10 times) were obtained using the fiber optic Raman system; there were 33 sets of lesional tissue data, including 18 sets of high-grade intraepithelial neoplasia (HGIN) data and 15 sets of adenocarcinoma data, and 22 sets of nonlesional tissue data. After the preprocessing steps, the average Raman spectrum was obtained.

RESULTS

The nonlesional tissues showed peaks at 891 cm, 1103 cm, 1417 cm, 1206 cm, 1234 cm, 1479 cm, 1560 cm, and 1678 cm. Compared with the peaks corresponding to nonlesional tissues, the peaks of the lesional tissues shifted by different magnitudes, and a new characteristic peak at 1324 cm was observed. Comparing the peak intensity ratio and the integral energy ratio of the lesional tissues with those of the nonlesional tissues revealed a significant difference between the two groups (independent-samples-test, < 0.05). Considering the peak intensity ratio of I1560 cm/I1103 cm as a diagnostic indicator, the accuracy, sensitivity, and specificity of diagnosing EGC were 98.8%, 93.9%, and 91.9%, respectively. Considering the integral energy ratio (noncontinuous frequency band and continuous frequency band) as a diagnostic indicator, the accuracy, sensitivity, and specificity of diagnosing EGC were 99.2-99.6%, 93.9-97.0%, and 95.5%, respectively.

CONCLUSIONS

The integral energy ratio of the Raman spectrum could be considered an effective indicator for the diagnosis of EGC.

摘要

目的

通过拉曼光谱识别早期胃癌(EGC)患者的病变组织和非病变组织,构建诊断模型并有效诊断EGC。

方法

通过内镜黏膜下剥离术从13例EGC患者中采集标本,使用光纤拉曼系统获得55组标准拉曼光谱数据(每组积分10次);其中有33组病变组织数据,包括18组高级别上皮内瘤变(HGIN)数据和15组腺癌数据,以及22组非病变组织数据。经过预处理步骤后,获得平均拉曼光谱。

结果

非病变组织在891 cm、1103 cm、1417 cm、1206 cm、1234 cm、1479 cm、1560 cm和1678 cm处出现峰。与非病变组织对应的峰相比,病变组织的峰发生了不同程度的位移,并观察到在1324 cm处出现一个新的特征峰。比较病变组织与非病变组织的峰强度比和积分能量比,发现两组之间存在显著差异(独立样本检验,<0.05)。将I1560 cm/I1103 cm的峰强度比作为诊断指标,诊断EGC的准确性、敏感性和特异性分别为98.8%、93.9%和91.9%。将积分能量比(非连续频带和连续频带)作为诊断指标,诊断EGC的准确性、敏感性和特异性分别为99.2 - 99.6%、93.9 - 97.0%和95.5%。

结论

拉曼光谱的积分能量比可被视为诊断EGC的有效指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5565/7245655/ada70fe000ed/GRP2020-8015024.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5565/7245655/f379bda4f58d/GRP2020-8015024.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5565/7245655/1d270a898f48/GRP2020-8015024.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5565/7245655/0598d60f22f5/GRP2020-8015024.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5565/7245655/9cde6bede61f/GRP2020-8015024.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5565/7245655/3e3ee3a0d469/GRP2020-8015024.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5565/7245655/5889d45dafeb/GRP2020-8015024.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5565/7245655/1ea8bce2949b/GRP2020-8015024.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5565/7245655/ada70fe000ed/GRP2020-8015024.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5565/7245655/f379bda4f58d/GRP2020-8015024.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5565/7245655/1d270a898f48/GRP2020-8015024.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5565/7245655/0598d60f22f5/GRP2020-8015024.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5565/7245655/9cde6bede61f/GRP2020-8015024.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5565/7245655/3e3ee3a0d469/GRP2020-8015024.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5565/7245655/5889d45dafeb/GRP2020-8015024.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5565/7245655/1ea8bce2949b/GRP2020-8015024.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5565/7245655/ada70fe000ed/GRP2020-8015024.008.jpg

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