Evaluation of wavelength ranges and tissue depth probed by diffuse reflectance spectroscopy for colorectal cancer detection
| Autor: | Shane Killeen, Marcelo Saito Nogueira, Michael Amissah, Noel P. Lynch, Stefan Andersson-Engels, Huihui Lu, Micheal O’Riordain, Siddra Maryam |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Adult
Male Support Vector Machine Materials science Diffuse reflectance infrared fourier transform Colorectal cancer Science Optical spectroscopy Diagnostic accuracy 01 natural sciences Article Techniques and instrumentation 010309 optics Gastrointestinal cancer 03 medical and health sciences Medical research 0302 clinical medicine Diffuse reflectance spectra 0103 physical sciences medicine Humans Gastrointestinal diseases Cancer Aged Aged 80 and over Multidisciplinary Physics Imaging and sensing Discriminant Analysis Colonoscopy Translational research Middle Aged medicine.disease Applied physics Wavelength Optics and photonics Spectrophotometry 030220 oncology & carcinogenesis Colorectal tissue Medicine Female Biophotonics Colorectal Neoplasms Algorithms Biomedical engineering |
| Zdroj: | Scientific Reports, Vol 11, Iss 1, Pp 1-17 (2021) Scientific Reports |
| ISSN: | 2045-2322 |
| Popis: | Colorectal cancer (CRC) is the third most common type of cancer worldwide and the second most deadly. Recent research efforts have focused on developing non-invasive techniques for CRC detection. In this study, we evaluated the diagnostic capabilities of diffuse reflectance spectroscopy (DRS) for CRC detection by building 6 classification models based on support vector machines (SVMs). Our dataset consists of 2889 diffuse reflectance spectra collected from freshly excised ex vivo tissues of 47 patients over wavelengths ranging from 350 and 1919 nm with source-detector distances of 630-µm and 2500-µm to probe different depths. Quadratic SVMs were used and performance was evaluated using twofold cross-validation on 10 iterations of randomized training and test sets. We achieved (93.5 ± 2.4)% sensitivity, (94.0 ± 1.7)% specificity AUC by probing the superficial colorectal tissue and (96.1 ± 1.8)% sensitivity, (95.7 ± 0.6)% specificity AUC by sampling deeper tissue layers. To the best of our knowledge, this is the first DRS study to investigate the potential of probing deeper tissue layers using larger SDD probes for CRC detection in the luminal wall. The data analysis showed that using a broader spectrum and longer near-infrared wavelengths can improve the diagnostic accuracy of CRC as well as probing deeper tissue layers. |
| Databáze: | OpenAIRE |
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