Abstract
We present the first clinical integration of a prototype device based on integrated auto-fluorescence imaging and Raman spectroscopy (Fast Raman device) for intra-operative assessment of surgical margins during Mohs micrographic surgery of basal cell carcinoma (BCC). Fresh skin specimens from 112 patients were used to optimise the tissue pre-processing and the Fast Raman algorithms to enable an analysis of complete Mohs layers within 30 minutes. The optimisation allowed >95% of the resection surface area to be investigated (including the deep and epidermal margins). The Fast Raman device was then used to analyse skin layers excised from the most relevant anatomical sites (nose, temple, eyelid, cheek, forehead, eyebrow and lip) and to detect the three main types of BCC (nodular, superficial and infiltrative). These results suggest that the Fast Raman technique is a promising tool to provide an objective diagnosis "tumour clear yes/no" during Mohs surgery of BCC. This clinical integration study is a key step towards a larger scale diagnosis test accuracy study to reliably determine the sensitivity and specificity in a clinical setting.
Original language | English |
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Pages (from-to) | 2015-2026 |
Number of pages | 12 |
Journal | Biomedical Optics Express |
Volume | 12 |
Issue number | 4 |
DOIs | |
Publication status | Published - 1 Apr 2021 |
Bibliographical note
Funding Information:Acknowledgments. This manuscript presents independent research commissioned by the National Institute for Health Research (NIHR) under its Research for Patients benefit programme (grant number PB-PG-0817-20019). The views expressed are those of the author(s) and not necessarily those of the NHS or the NIHR. Funding by “Maurits en Anna de Kock Stichting” foundation is also acknowledged (Reference Grant 2015-28).
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