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Real-time Raman spectroscopy for automatic in vivo skin cancer detection: an independent validation.
- Source :
-
Analytical & Bioanalytical Chemistry . Nov2015, Vol. 407 Issue 27, p8373-8379. 7p. - Publication Year :
- 2015
-
Abstract
- In a recent study, we have demonstrated that real-time Raman spectroscopy could be used for skin cancer diagnosis. As a translational study, the objective of this study is to validate previous findings through a completely independent clinical test. In total, 645 confirmed cases were included in the analysis, including a cohort of 518 cases from a previous study, and an independent cohort of 127 new cases. Multi-variant statistical data analyses including principal component with general discriminant analysis (PC-GDA) and partial least squares (PLS) were used separately for lesion classification, which generated similar results. When the previous cohort ( n = 518) was used as training and the new cohort ( n = 127) was used as testing, the area under the receiver operating characteristic curve (ROC AUC) was found to be 0.889 (95 % CI 0.834-0.944; PLS); when the two cohorts were combined, the ROC AUC was 0.894 (95 % CI 0.870-0.918; PLS) with the narrowest confidence intervals. Both analyses were comparable to the previous findings, where the ROC AUC was 0.896 (95 % CI 0.846-0.946; PLS). The independent study validates that real-time Raman spectroscopy could be used for automatic in vivo skin cancer diagnosis with good accuracy. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 16182642
- Volume :
- 407
- Issue :
- 27
- Database :
- Academic Search Index
- Journal :
- Analytical & Bioanalytical Chemistry
- Publication Type :
- Academic Journal
- Accession number :
- 110320103
- Full Text :
- https://doi.org/10.1007/s00216-015-8914-9