Skip to main content
main-content
Erschienen in: Lasers in Medical Science 9/2020

25.04.2020 | Original Article

Identification of oral cancer in OCT images based on an optical attenuation model

verfasst von: Zihan Yang, Jianwei Shang, Chenlu Liu, Jun Zhang, Yanmei Liang

Erschienen in: Lasers in Medical Science | Ausgabe 9/2020

Einloggen, um Zugang zu erhalten

Abstract

Surgery is still the first choice to treat oral cancer, where it is important to detect surgical margins in order to reduce cancer recurrence and maintain oral-maxillofacial function simultaneously. As a non-invasive and in situ imaging technique, optical coherence tomography (OCT) can obtain images close to the resolution of histopathology, which makes it have great potential in intraoperative diagnosis. However, it is not enough to find surgical margins accurately just observing OCT images directly and qualitatively. The purpose of this study is to identify oral cancer in OCT images by investigating the quantitative difference of cancer and non-cancer tissue. Based on an available optical attenuation model and the axial confocal PSF of a home-made swept source OCT system, by using fresh ex vivo human oral tissues from 14 patients of oral squamous cell carcinoma (OSCC) as the samples, diagnosis with sensitivity (97.88%) and specificity (83.77%) was achieved at the attenuation threshold of 4.7 mm−1, and the accuracy of identification reached 91.15% in our study. Our preliminary results demonstrated that the oral cancer resection will be guided accurately and the clinical application of OCT will be further promoted by deeply mining the information hidden in OCT images.
Literatur
2.
Zurück zum Zitat American Cancer Society (2017) Cancer facts & figures. American Cancer Society, Atlanta American Cancer Society (2017) Cancer facts & figures. American Cancer Society, Atlanta
11.
Zurück zum Zitat Van Soest G, Goderie T, Regar E, Koljenovic S, van Leenders GLJH, Gonzalo N, van Noorden S, Okamura T, Bouma BE, Tearney GJ, Oosterhuis JW, Serruys PW, van der Steen AFW (2010) Atherosclerotic tissue characterization in vivo by optical coherence tomography attenuation imaging. J Biomed Opt 15(1):011105. https://​doi.​org/​10.​1117/​1.​3280271 CrossRef Van Soest G, Goderie T, Regar E, Koljenovic S, van Leenders GLJH, Gonzalo N, van Noorden S, Okamura T, Bouma BE, Tearney GJ, Oosterhuis JW, Serruys PW, van der Steen AFW (2010) Atherosclerotic tissue characterization in vivo by optical coherence tomography attenuation imaging. J Biomed Opt 15(1):011105. https://​doi.​org/​10.​1117/​1.​3280271 CrossRef
13.
Zurück zum Zitat Xu C, Schmitt JM, Carlier SG, Virmani R (2008) Characterization of atherosclerosis plaques by measuring both backscattering and attenuation coefficients in optical coherence tomography. J Biomed Opt 13(3):034003 CrossRef Xu C, Schmitt JM, Carlier SG, Virmani R (2008) Characterization of atherosclerosis plaques by measuring both backscattering and attenuation coefficients in optical coherence tomography. J Biomed Opt 13(3):034003 CrossRef
25.
Zurück zum Zitat Maslennikova AV, Sirotkina MA, Moiseev AA, Finagina ES, Ksenofontov SY, Gelikonov GV, Matveev LA, Kiseleva EB, Zaitsev VY, Zagaynova EV, Feldchtein FI, Gladkova ND, Vitkin A (2017) In-vivo longitudinal imaging of microvascular changes in irradiated oral mucosa of radiotherapy cancer patients using optical coherence tomography. Sci Rep 7(1):16505. https://​doi.​org/​10.​1038/​s41598-017-16823-2 CrossRef Maslennikova AV, Sirotkina MA, Moiseev AA, Finagina ES, Ksenofontov SY, Gelikonov GV, Matveev LA, Kiseleva EB, Zaitsev VY, Zagaynova EV, Feldchtein FI, Gladkova ND, Vitkin A (2017) In-vivo longitudinal imaging of microvascular changes in irradiated oral mucosa of radiotherapy cancer patients using optical coherence tomography. Sci Rep 7(1):16505. https://​doi.​org/​10.​1038/​s41598-017-16823-2 CrossRef
27.
Zurück zum Zitat Maslennikova A, Sirotkina M, Sedova E, Moiseev A, Ksenofontov S, Gelikonov G, Matveev L, Kiseleva E, Zaitsev V, Zagaynova E, Feldstein F, Gladkova N, Vitkin A (2018) In vivo imaging of microvascular changes in irradiated oral mucosa by optical coherence tomography. Radiother Oncol 127:E586–E586 CrossRef Maslennikova A, Sirotkina M, Sedova E, Moiseev A, Ksenofontov S, Gelikonov G, Matveev L, Kiseleva E, Zaitsev V, Zagaynova E, Feldstein F, Gladkova N, Vitkin A (2018) In vivo imaging of microvascular changes in irradiated oral mucosa by optical coherence tomography. Radiother Oncol 127:E586–E586 CrossRef
39.
41.
Zurück zum Zitat Turani Z, Fatemizadeh E, Blumetti T, Daveluy S, Moraes AF, Chen W, Mehregan D, Andersen PE, Nasiriavanaki M (2019) Optical radiomic signatures derived from optical coherence tomography images to improve identification of melanoma. Cancer Res 79(8):2021–2030 CrossRef Turani Z, Fatemizadeh E, Blumetti T, Daveluy S, Moraes AF, Chen W, Mehregan D, Andersen PE, Nasiriavanaki M (2019) Optical radiomic signatures derived from optical coherence tomography images to improve identification of melanoma. Cancer Res 79(8):2021–2030 CrossRef
Metadaten
Titel
Identification of oral cancer in OCT images based on an optical attenuation model
verfasst von
Zihan Yang
Jianwei Shang
Chenlu Liu
Jun Zhang
Yanmei Liang
Publikationsdatum
25.04.2020
Verlag
Springer London
Erschienen in
Lasers in Medical Science / Ausgabe 9/2020
Print ISSN: 0268-8921
Elektronische ISSN: 1435-604X
DOI
https://doi.org/10.1007/s10103-020-03025-y