Autofluorescence-Raman spectroscopy for ex-vivo mapping colorectal liver metastases and liver tissue
Corden, Christopher; Boitor, Radu; Harwood, Andrew; Mukherjee, Abhik; Gomez, Dhanwant; Notingher, Ioan
RADU BOITOR Radu.Boitor1@nottingham.ac.uk
Research Fellow in Multimodal Spectral Imaging of Basal Cell Carcinoma
Dr ABHIK MUKHERJEE ABHIK.MUKHERJEE1@NOTTINGHAM.AC.UK
Clinical Associate Professor
IOAN NOTINGHER email@example.com
Professor of Physics
Background: Identifying colorectal liver metastases (CRLM) during liver resection could assist in achieving clear surgical margins, which is an important prognostic variable for both disease-free and overall survival.
Aims: To investigate the effect of auto-fluorescence (AF) and Raman spectroscopy for ex-vivo label-free discrimination of CRLMs from normal liver tissue. Secondary aims include exploring options for multimodal AF-Raman integration with respect to diagnosis accuracy and imaging speed on human liver tissue and CRLM.
Methods: Liver samples were obtained from patients undergoing liver surgery for CRLM who provided informed consent (15 patients were recruited). AF and Raman spectroscopy was performed on CRLM and normal liver tissue samples, and then compared to histology.
Results: AF emission spectra demonstrated that the 671 nm and 775/785 nm excitation wavelengths provided the highest contrast, as normal liver tissue elicited on average around 8-folds higher AF intensity compared to CRLM. The use of the 785 nm wavelength had the advantage of enabling Raman spectroscopy measurements from CRLM regions, allowing discrimination of CRLM from regions of normal liver tissue eliciting unusual low AF intensity, preventing misclassification. Proof-of-concept experiments using small pieces CRLM samples covered by large normal liver tissue demonstrated the feasibility of a dual-modality AF-Raman for detection of positive margins within few minutes.
Conclusion: AF imaging and Raman spectroscopy can discriminate CRLM from normal liver tissue in an ex-vivo setting. These results suggest the potential for developing an integrated multimodal AF-Raman imaging techniques for intra-operative assessment of surgical margins.
Corden, C., Boitor, R., Harwood, A., Mukherjee, A., Gomez, D., & Notingher, I. (2023). Autofluorescence-Raman spectroscopy for ex-vivo mapping colorectal liver metastases and liver tissue. Journal of Surgical Research, 288, 10-20. https://doi.org/10.1016/j.jss.2023.02.014
|Journal Article Type||Article|
|Acceptance Date||Feb 21, 2023|
|Online Publication Date||Mar 18, 2023|
|Deposit Date||Mar 9, 2023|
|Publicly Available Date||Mar 18, 2023|
|Journal||Journal of Surgical Research|
|Peer Reviewed||Peer Reviewed|
|Keywords||Colorectal liver metastases; liver; Raman; auto-florescence Word count: Main Text = 4339 words; Abstract = 242 words|
|Related Public URLs||https://www.sciencedirect.com/science/article/pii/S0022480423000604|
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