Surface‐enhanced Raman spectroscopy is an accurate technique in diagnosis of breast cancer: A meta‐analysis

The meta‐analysis was prepared to evaluate the diagnostic value of surface‐enhanced Raman spectroscopy for patients with breast cancer and to provide some statistically significant reference for the detection process. PubMed, Web of Science, Cochrane library, and Embase databases were retrieved for...

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Veröffentlicht in:Journal of Raman spectroscopy 2022-12, Vol.53 (12), p.2058-2067
Hauptverfasser: Yue, Xiang, Wang, Yashan, Guo, Dingjie, He, Guangliang, Sui, Chuanying, Qu, Zihan, Zhao, Yinlong, Liu, Xin
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container_issue 12
container_start_page 2058
container_title Journal of Raman spectroscopy
container_volume 53
creator Yue, Xiang
Wang, Yashan
Guo, Dingjie
He, Guangliang
Sui, Chuanying
Qu, Zihan
Zhao, Yinlong
Liu, Xin
description The meta‐analysis was prepared to evaluate the diagnostic value of surface‐enhanced Raman spectroscopy for patients with breast cancer and to provide some statistically significant reference for the detection process. PubMed, Web of Science, Cochrane library, and Embase databases were retrieved for randomized clinical trials by two independent reviewers. A comprehensive search was performed on July 15, 2022. Meta‐Disc 1.4 was used to calculate Spearman correlation coefficient. STATA 14.1 software was used to evaluate the diagnostic effect and the performance of subgroup analysis, which could be conducted to explore the potential sources of heterogeneity. Review manager 5.3 software was performed for quality assessment in our meta‐analysis. The results displayed 19 studies with 1299 patients were included according to the inclusion and exclusion criteria. Meta‐analysis displayed the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio and the area under the curve of using surface enhanced Raman spectroscopy for diagnosing the patients with breast cancer were 0.91 (95% CI 0.85–0.94), 0.94 (95% CI 0.91–0.96), 14.06 (95% CI 9.25–21.35), 0.10 (95% CI 0.06–0.17), 140.64 (95% CI 59.63–331.70), and 0.97 (95% CI 0.95–0.98), respectively. The source of specificity heterogeneity was from different sample volume mixed with nanoparticle. Surface‐enhanced Raman spectroscopy had high sensitivity and specificity in the diagnosis of breast cancer. It was an accurate and effective technique for patients with breast cancer. Surface‐enhanced Raman spectroscopy had high sensitivity and specificity in the diagnosis of breast cancer. In the detection process, the diagnosis performance was higher when the test sample was serum and the laser wavelength was 785 nm.
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PubMed, Web of Science, Cochrane library, and Embase databases were retrieved for randomized clinical trials by two independent reviewers. A comprehensive search was performed on July 15, 2022. Meta‐Disc 1.4 was used to calculate Spearman correlation coefficient. STATA 14.1 software was used to evaluate the diagnostic effect and the performance of subgroup analysis, which could be conducted to explore the potential sources of heterogeneity. Review manager 5.3 software was performed for quality assessment in our meta‐analysis. The results displayed 19 studies with 1299 patients were included according to the inclusion and exclusion criteria. Meta‐analysis displayed the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio and the area under the curve of using surface enhanced Raman spectroscopy for diagnosing the patients with breast cancer were 0.91 (95% CI 0.85–0.94), 0.94 (95% CI 0.91–0.96), 14.06 (95% CI 9.25–21.35), 0.10 (95% CI 0.06–0.17), 140.64 (95% CI 59.63–331.70), and 0.97 (95% CI 0.95–0.98), respectively. The source of specificity heterogeneity was from different sample volume mixed with nanoparticle. Surface‐enhanced Raman spectroscopy had high sensitivity and specificity in the diagnosis of breast cancer. It was an accurate and effective technique for patients with breast cancer. Surface‐enhanced Raman spectroscopy had high sensitivity and specificity in the diagnosis of breast cancer. 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subjects Breast cancer
Clinical trials
Correlation coefficient
Correlation coefficients
Diagnosis
Heterogeneity
Likelihood ratio
Meta-analysis
Nanoparticles
Quality assessment
Quality control
Raman spectroscopy
SERS
Software
Spectroscopy
Spectrum analysis
Statistical analysis
Subgroups
title Surface‐enhanced Raman spectroscopy is an accurate technique in diagnosis of breast cancer: A meta‐analysis
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