1. Real-time Raman spectroscopy for automatic in vivo skin cancer detection: an independent validation.
- Author
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Zhao, Jianhua, Lui, Harvey, Kalia, Sunil, and Zeng, Haishan
- Subjects
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SKIN cancer diagnosis , *RAMAN spectroscopy , *CLINICAL trials , *DISCRIMINANT analysis , *PRINCIPAL components analysis - 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]
- Published
- 2015
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