In vivo determination of the molecular composition of artery wall by intravascular Raman spectroscopy.

Atherosclerotic plaque vulnerability is suggested to be determined by its chemical composition. However, at present there are no in vivo techniques available that can adequately type atherosclerotic plaques in terms of chemical composition. Previous in vitro experiments have shown that Raman spectroscopy can provide such information in great detail. Here we present the results of in vitro and in vivo intravascular Raman spectroscopic experiments, in which dedicated, miniaturized fiber-optic probes were used to illuminate the blood vessel wall and to collect Raman scattered light. The results make clear that an important hurdle to clinical application of Raman spectroscopy in atherosclerosis has been overcome, namely, the ability to obtain in vivo intravascular Raman spectra of high quality. Of equal importance is the finding that the in vivo intravascular Raman signal obtained from a blood vessel is a simple summation of signal contributions of the blood vessel wall and of blood. It means that detailed information about the chemical composition of a blood vessel wall can be obtained by adapting a multiple least-squares fitting method, which was developed previously for the analysis of in vitro spectra, to account for signal contributions of blood.

In vivo detection of dysplastic tissue by Raman spectroscopy.

The detection of dysplasia and early cancer is important because of the improved survival rates associated with early treatment of cancer. Raman spectroscopy is sensitive to the changes in molecular composition and molecular conformation that occur in tissue during carcinogenesis, and recent developments in fiber-optic probe technology enable its application as an in vivo technique. In this study, the potential of Raman spectroscopy for in vivo classification of normal and dysplastic tissue was investigated. A rat model was used for this purpose, in which dysplasia in the epithelium of the palate was induced by topical application of the carcinogen 4-nitroquinoline 1-oxide. High quality in vivo spectra of normal and dysplastic rat palate tissue, obtained using signal integration times of 100 s were used to create tissue classification models based on multivariate statistical analysis methods. These were tested with an independent set of in vivo spectra, obtained using signal collection times of 10 s. The best performing model, in which signal variance due to signal contributions of the palatal bone was eliminated, was able to distinguish between normal tissue, low-grade dysplasia, and high-grade dysplasia/carcinoma in situ with a selectivity of 0.93 and a sensitivity of 0.78 for detecting low-grade dysplasia and a specificity of 1 and a sensitivity of 1 for detecting high-grade dysplasia/ carcinoma in situ.