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Diagnosis accuracy of Raman spectroscopy in the diagnosis of breast cancer: a meta-analysis

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Abstract

To investigate the diagnostic efficiency of Raman spectroscopy for the diagnosis of breast cancer, we searched PubMed, Web of Science, Cochrane Library, and Embase for articles published from the database establishment to May 20, 2022. Pooled sensitivity, specificity, diagnostic odds ratio, and area under the receiver pooled operating characteristic curve were derived for the included studies as outcome measures. The methodological quality was assessed according to the questionnaires and criteria suggested by the Diagnostic Accuracy Research Quality Assessment-2 tool. Sixteen studies were included in this meta-analysis. The pooled sensitivity and specificity of Raman spectroscopy for breast cancer diagnosis were 0.97 (95% CI, [0.92–0.99]) and 0.96 (95% CI, [0.91–0.98]). The diagnostic odds ratio was 720.89 (95% CI, [135.73–3828.88]) and the area under the curve of summary receiver operating characteristic curves was 0.99 (95% CI, [0.98–1]). Subgroup analysis revealed that all subgroup types in our analysis, including different races, sample types, diagnostic algorithms, number of spectra, instrument types, and laser wavelengths, turned out to have a sensitivity and specificity greater than 0.9. Significant heterogeneity was found between studies. Deeks’ funnel plot demonstrated that publication bias was acceptable. This meta-analysis suggests that Raman spectroscopy may be an effective and accurate tool to differentiate breast cancer from normal breast tissue, which will help us diagnose and treat breast cancer.

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The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

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Acknowledgements

We express our thanks to Prof. Yong Yu from the Department of Ultrasound in Shandong Provincial Hospital who was involved in the revision of our manuscript.

Funding

The work was supported by the Natural Science Foundation of Shandong Province under Grant [ZR2021QH047] and the Clinical Science and Technology Innovation Development Program of Jinan (grant number 202134036).

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Authors and Affiliations

  1. Department of Ultrasound, Shandong Provincial Hospital affiliated to Shandong First Medical University, No. 324 Jing 5 Rd, Shandong Provincial Hospital, Jinan, Shandong, 250021, People’s Republic of China

    Mei-Huan Wang, Xiao Liu, Qian Wang & Hua-Wei Zhang

  2. Department of Ultrasound, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250021, Shandong, China

    Qian Wang & Hua-Wei Zhang

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Mei-Huan Wang and Qian Wang conceived the idea for the article. Mei-Huan Wang and Xiao Liu conducted data collection and analysis. Qian Wang managed and drafted the manuscript. Hua-Wei Zhang approved the final version of the manuscript. All authors contributed to the article and approved the submitted version.

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Wang, MH., Liu, X., Wang, Q. et al. Diagnosis accuracy of Raman spectroscopy in the diagnosis of breast cancer: a meta-analysis. Anal Bioanal Chem 414, 7911–7922 (2022). https://doi.org/10.1007/s00216-022-04326-7

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