Abstract
Raman spectroscopy could be applied to distinguish tumor from normal tissues. This meta-analysis was conducted to assess the accuracy of Raman spectroscopy in differentiating brain tumor from normal brain tissue. PubMed and Embase were searched to identify suitable studies prior to Jan 1st, 2016. We estimated the pooled sensitivity, specificity, positive and negative likelihood ratios (LR), diagnostic odds ratio (DOR), and constructed summary receiver operating characteristics (SROC) curves to identity the accuracy of Raman spectroscopy in differentiating brain tumor from normal brain tissue. A total of six studies with 1951 spectra were included. For glioma, the pooled sensitivity and specificity of Raman spectroscopy were 0.96 (95% CI 0.94-0.97) and 0.99 (95% CI 0.98-0.99), respectively. The area under the curve (AUC) was 0.9831. For meningioma, the pooled sensitivity and specificity were 0.98 (95% CI 0.94-1.00) and 1.00 (95% CI 0.98-1.00), respectively. The AUC was 0.9955. This meta-analysis suggested that Raman spectroscopy could be an effective and accurate tool for differentiating glioma and meningioma from normal brain tissue, which would help us both avoid removal of normal tissue and minimize the volume of residual tumor.
Highlights
The incidence rate and mortality rate of nervous system tumor both rose from 2002 to 2012, according to the latest global cancer statistics [1, 2]
Petrecca et al found that in patients with glioblastoma failure pattern following complete resection plus radiotherapy and temozolomide was at the resection margin [8]
The pooled sensitivity and specificity of Raman spectroscopy for discriminating meningioma and normal brain tissues were 0.98 and 1.00, respectively
Summary
The incidence rate and mortality rate of nervous system tumor both rose from 2002 to 2012, according to the latest global cancer statistics [1, 2]. The complete removal of the tumor if possible is the optimal treatment [3]. Though surgical removal of all tumor tissue is important, it is not always possible now. One of the reasons is that the normal brain tissue must be preserved. It can lead to neurological deficits including impaired motor function, sensory function, memory, vision and audition [9]. Another reason is that the tumor border is always blurred due to the infiltrative growth of tumor tissue. It is urgent to find an effective technique that discriminates brain tumor tissue and normal tissue
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