机构:[1]Department of Radiation Oncology, Sichuan Cancer Hospital & Institute, Chengdu, China四川省肿瘤医院[2]Physical Engineering Laboratory, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China[3]Sichuan Institute for Brain Science and Brain-Inspired Intelligence, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China[4]School of Foreign Languages, University of Electronic Science and Technology of China, Chengdu, China[5]Clinical Laboratory, The Public Health Clinical Center of Chengdu, Chengdu, China[6]Department of Clinical Laboratory, The First Affiliated Hospital of Chengdu Medical College, Chengdu, China
The outbreak of COVID-19 coronavirus disease around the end of 2019 has become a pandemic. The preferred method for COVID-19 detection is the real-time polymerase chain reaction (RT-PCR)-based technique; however, it also has certain limitations, such as sample-dependent procedures with a relatively high false negative ratio. We propose a safe and efficient method for screening COVID-19 based on Raman spectroscopy. A total of 177 serum samples are collected from 63 confirmed COVID-19 patients, 59 suspected cases, and 55 healthy individuals as a control group. Raman spectroscopy is adopted to analyze these samples, and a machine learning support-vector machine (SVM) method is applied to the spectrum dataset to build a diagnostic algorithm. Furthermore, 20 independent individuals, including 5 asymptomatic COVID-19 patients and 5 symptomatic COVID-19 patients, 5 suspected patients, and 5 healthy patients, were sampled for external validation. In these three groups-confirmed COVID-19, suspected, and healthy individuals-the distribution of statistically significant points of difference showed highly consistency for intergroups after repeated sampling processes. The classification accuracy between the COVID-19 cases and the suspected cases is 0.87 (95% confidence interval [CI]: 0.85-0.88), and the accuracy between the COVID-19 and the healthy controls is 0.90 (95% CI: 0.89-0.91), while the accuracy between the suspected cases and the healthy control group is 0.68 (95% CI: 0.67-0.73). For the independent test dataset, we apply the obtained SVM model to the classification of the independent test dataset to have all the results correctly classified. Our model showed that the serum-level classification results were all correct for independent test dataset. Our results suggest that Raman spectroscopy could be a safe and efficient technique for COVID-19 screening.
基金:
Department of Science and Technology of Sichuan Province [2019YFG0185]; Chengdu Science and Technology Bureau [2020-YF05-0014-SN]
第一作者机构:[1]Department of Radiation Oncology, Sichuan Cancer Hospital & Institute, Chengdu, China[2]Physical Engineering Laboratory, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China
共同第一作者:
通讯作者:
通讯机构:[1]Department of Radiation Oncology, Sichuan Cancer Hospital & Institute, Chengdu, China[2]Physical Engineering Laboratory, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China[3]Sichuan Institute for Brain Science and Brain-Inspired Intelligence, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China[6]Department of Clinical Laboratory, The First Affiliated Hospital of Chengdu Medical College, Chengdu, China[*1]Department of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Chengdu, China[*2]Sichuan Institute for Brain Science and Brain-Inspired Intelligence, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.[*3]The First Affiliated Hospital of Chengdu Medical College, Chengdu, China
推荐引用方式(GB/T 7714):
Yin Gang,Li Lintao,Lu Shun,et al.An efficient primary screening of COVID-19 by serum Raman spectroscopy[J].JOURNAL OF RAMAN SPECTROSCOPY.2021,52(5):949-958.doi:10.1002/jrs.6080.
APA:
Yin, Gang,Li, Lintao,Lu, Shun,Yin, Yu,Su, Yuanzhang...&Lang, Jinyi.(2021).An efficient primary screening of COVID-19 by serum Raman spectroscopy.JOURNAL OF RAMAN SPECTROSCOPY,52,(5)
MLA:
Yin, Gang,et al."An efficient primary screening of COVID-19 by serum Raman spectroscopy".JOURNAL OF RAMAN SPECTROSCOPY 52..5(2021):949-958