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An efficient primary screening of COVID-19 by serum Raman spectroscopy.
Yin, Gang; Li, Lintao; Lu, Shun; Yin, Yu; Su, Yuanzhang; Zeng, Yilan; Luo, Mei; Ma, Maohua; Zhou, Hongyan; Orlandini, Lucia; Yao, Dezhong; Liu, Gang; Lang, Jinyi.
  • Yin G; Department of Radiation Oncology Sichuan Cancer Hospital & Institute Chengdu China.
  • Li L; Physical Engineering Laboratory Radiation Oncology Key Laboratory of Sichuan Province Chengdu China.
  • Lu S; Department of Radiation Oncology Sichuan Cancer Hospital & Institute Chengdu China.
  • Yin Y; Physical Engineering Laboratory Radiation Oncology Key Laboratory of Sichuan Province Chengdu China.
  • Su Y; Department of Radiation Oncology Sichuan Cancer Hospital & Institute Chengdu China.
  • Zeng Y; Physical Engineering Laboratory Radiation Oncology Key Laboratory of Sichuan Province Chengdu China.
  • Luo M; Sichuan Institute for Brain Science and Brain-Inspired Intelligence, MOE Key Lab for Neuroinformation University of Electronic Science and Technology of China Chengdu China.
  • Ma M; School of Foreign Languages University of Electronic Science and Technology of China Chengdu China.
  • Zhou H; Clinical Laboratory The Public Health Clinical Center of Chengdu Chengdu China.
  • Orlandini L; Clinical Laboratory The Public Health Clinical Center of Chengdu Chengdu China.
  • Yao D; Clinical Laboratory The Public Health Clinical Center of Chengdu Chengdu China.
  • Liu G; Department of Radiation Oncology Sichuan Cancer Hospital & Institute Chengdu China.
  • Lang J; Physical Engineering Laboratory Radiation Oncology Key Laboratory of Sichuan Province Chengdu China.
J Raman Spectrosc ; 52(5): 949-958, 2021 May.
Article in English | MEDLINE | ID: covidwho-1095641
Semantic information from SemMedBD (by NLM)
1. Spectrum Analysi METHOD_OF C0220908
Subject
Spectrum Analysi
Predicate
METHOD_OF
Object
C0220908
2. COVID-19 PROCESS_OF Patients
Subject
COVID-19
Predicate
PROCESS_OF
Object
Patients
3. Asymptomatic SARS-CoV-2 PROCESS_OF Patients
Subject
Asymptomatic SARS-CoV-2
Predicate
PROCESS_OF
Object
Patients
4. Spectrum Analysi DIAGNOSES C5203670
Subject
Spectrum Analysi
Predicate
DIAGNOSES
Object
C5203670
5. Spectrum Analysis, Raman METHOD_OF Screening procedure
Subject
Spectrum Analysis, Raman
Predicate
METHOD_OF
Object
Screening procedure
6. COVID-19 PROCESS_OF Patients
Subject
COVID-19
Predicate
PROCESS_OF
Object
Patients
7. Asymptomatic SARS-CoV-2 PROCESS_OF Patients
Subject
Asymptomatic SARS-CoV-2
Predicate
PROCESS_OF
Object
Patients
8. Spectrum Analysis, Raman DIAGNOSES COVID-19
Subject
Spectrum Analysis, Raman
Predicate
DIAGNOSES
Object
COVID-19
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Language: English Journal: J Raman Spectrosc Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Language: English Journal: J Raman Spectrosc Year: 2021 Document Type: Article