Automated multimodal spectral histopathology for quantitative diagnosis of residual tumour during basal cell carcinoma surgery

Boitor, Radu and Kong, Kenny and Shipp, Dustin and Varma, Sandeep and Koloydenko, Alexey and Kusum, Kulkarni and Elsheikh, Somaia and Bakker Schut, Tom and Caspers, Peter and Puppels, Gerwin and Wolf, Martin van der and Sokolova, Elena and Nijsten, T.E.C. and Salence, Brogan and Williams, Hywel C. and Ioan, Notingher (2017) Automated multimodal spectral histopathology for quantitative diagnosis of residual tumour during basal cell carcinoma surgery. Biomedical Optics Express, 8 (12). pp. 5749-5766. ISSN 2156-7085

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Available under Licence Creative Commons Attribution.
Download (8MB) | Preview

Abstract

Multimodal spectral histopathology (MSH), an optical technique combining tissue auto-fluorescence (AF) imaging and Raman micro-spectroscopy (RMS), was previously proposed for detection of residual basal cell carcinoma (BCC) at the surface of surgically-resected skin tissue. Here we report the development of a fully-automated prototype instrument based on MSH designed to be used in the clinic and operated by a non-specialist spectroscopy user. The algorithms for the AF image processing and Raman spectroscopy classification had been first optimised on a manually-operated laboratory instrument and then validated on the automated prototype using skin samples from independent patients. We present results on a range of skin samples excised during Mohs micrographic surgery, and demonstrate consistent diagnosis obtained in repeat test measurement, in agreement with the reference histopathology diagnosis. We also show that the prototype instrument can be operated by clinical users (a skin surgeon and a core medical trainee, after only 1-8 hours of training) to obtain consistent results in agreement with histopathology. The development of the new automated prototype and demonstration of inter-instrument transferability of the diagnosis models are important steps on the clinical translation path: it allows the testing of the MSH technology in a relevant clinical environment in order to evaluate its performance on a sufficiently large number of patients.

Item Type: Article
Schools/Departments: University of Nottingham, UK > Faculty of Medicine and Health Sciences > School of Medicine > Division of Rheumatology, Orthopaedics and Dermatology
University of Nottingham, UK > Faculty of Science > School of Physics and Astronomy
Identification Number: 10.1364/BOE.8.005749
Depositing User: Boitor, Radu
Date Deposited: 16 Nov 2017 08:40
Last Modified: 11 Dec 2017 10:57
URI: http://eprints.nottingham.ac.uk/id/eprint/48117

Actions (Archive Staff Only)

Edit View Edit View