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Rapid Discrimination of Malignant Breast Lesions from Normal Tissues Utilizing Raman Spectroscopy System: A Systematic Review and Meta-Analysis of In Vitro Studies
- Source :
- PLoS ONE, Vol 11, Iss 7, p e0159860 (2016), PLoS ONE
- Publication Year :
- 2016
- Publisher :
- Public Library of Science (PLoS), 2016.
-
Abstract
- Purpose The aim of this study is to evaluate the diagnostic accuracy of Raman spectroscopy system in the detection of malignant breast lesions through a systemic review and meta-analysis of published studies. Methods We conducted a comprehensive literature search of PubMed and Embase from 2000 to June 2015. Published studies that evaluated the diagnostic performance of Raman spectroscopy in distinguishing malignant breast lesions from benign lesions and normal tissues were included in our study. The pooled sensitivity, specificity, diagnostic odds ratio, and the area under the curve of summary receiver-operating characteristic curves was derived. A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies guidelines was used to assess the quality of included studies. Results The initial search produced a total of 157 articles after removing duplicates. Nine studies (8 in vitro and 1 in vivo) were eligible in this meta-analysis. We analyzed the eight in vitro studies with 1756 lesions, the pooled sensitivity and specificity of Raman spectroscopy system for the diagnosis of malignant breast lesions were 0.92 (95% CI 0.86–0.96) and 0.97 (97% CI 0.93–0.98), respectively. Diagnostic odds ratio was 266.70 (95% CI 89.38–795.79), and the area under the curve of summary receiver-operating characteristic curves was 0.98 (95% CI 0.97–0.99). Significant heterogeneity was found between studies. There was no evidence of considerable publication bias. Conclusions Raman spectroscopy system is an optical diagnostic technology with great value for detecting malignant breast lesions. At the same time, it has advantages of being non-invasive, real-time, and easy to use. Thus it deserves to be further explored for intra-operatory breast tumor margin detection.
- Subjects :
- Pathology
lcsh:Medicine
Pathology and Laboratory Medicine
Spectrum Analysis, Raman
01 natural sciences
0302 clinical medicine
Mathematical and Statistical Techniques
Spectrum Analysis Techniques
Breast Tumors
Medicine and Health Sciences
Neoplasm Metastasis
lcsh:Science
Multidisciplinary
Area under the curve
Absorption Spectroscopy
Oncology
Optical Equipment
Molecular Diagnostic Techniques
030220 oncology & carcinogenesis
Meta-analysis
Physical Sciences
symbols
Engineering and Technology
Female
Radiology
Statistics (Mathematics)
Research Article
medicine.medical_specialty
Raman Spectroscopy
Equipment
Breast Neoplasms
Research and Analysis Methods
Sensitivity and Specificity
010309 optics
03 medical and health sciences
symbols.namesake
Breast cancer
Signs and Symptoms
In vivo
Diagnostic Medicine
0103 physical sciences
Breast Cancer
medicine
Cancer Detection and Diagnosis
Humans
Statistical Methods
business.industry
Lasers
lcsh:R
Cancers and Neoplasms
Publication bias
medicine.disease
In vitro
Diagnostic odds ratio
Lesions
lcsh:Q
business
Raman spectroscopy
Mathematics
Meta-Analysis
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 11
- Issue :
- 7
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....f5c4daffad5520090d95888145cf680c