Accuracy of Raman spectroscopy for differentiating skin cancer from normal tissue

Medicine
Jing ZhangJianguo Xu

Abstract

Raman spectroscopy could be applied to distinguish tumor from normal tissues. This meta-analysis assessed the accuracy of Raman spectroscopy in differentiating skin cancer from normal tissue. PubMed, Embase, Cochrane Library, and CNKI were searched to identify suitable studies before Februray 4th, 2018. We estimated the pooled sensitivity, specificity, positive, and negative likelihood ratios, diagnostic odds ratio, and constructed summary receiver-operating characteristics curves to identify the accuracy of Raman spectroscopy in differentiating skin cancer from normal tissue. A total of 12 studies with 2461 spectra were included. For basal cell skin cancer (BCC) ex vivo detection, the pooled sensitivity and specificity were 0.99 (95% confidence interval [CI] 0.97-0.99) and 0.96 (95% CI 0.95-0.97), respectively. The area under the curve (AUC) was 0.9837. For BCC in vivo detection, the pooled sensitivity and specificity were 0.69 (95% CI 0.61-0.76) and 0.85 (95% CI 0.82-0.87), respectively. The AUC was 0.9213. For melanoma (MM) ex vivo detection, the pooled sensitivity and specificity were 1.00 (95% CI 0.91-1.00) and 0.98 (95% CI 0.95-1.00), respectively. The AUC was 0.9914. For MM in vivo detection, the sensitivity (0.93) and t...Continue Reading

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Citations

Oct 17, 2019·The Analyst·Thomas James Eliot HubbardNicholas Stone
Jun 9, 2020·Experimental and Therapeutic Medicine·Ioana-Alina GrajdeanuLaura Gheuca Solovastru
Apr 16, 2021·Lasers in Medical Science·Zhang-Yan KeYan-Bei Zhang

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Methods Mentioned

BETA
biopsy
biopsies
PCA

Software Mentioned

NNA
Disc
TA
Stata
Meta

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