Identification of oral squamous cell carcinoma in optical coherence tomography images based on texture features

Zihan Yang; Jianwei Shang; Chenlu Liu; Jun Zhang; Yanmei Liang

doi:10.1142/s1793545821400010

[1] A. E. Heidari, S. P. Sunny, B. L. James, T. M. Lam, A. V. Tran, J. Yu, R. D. Ramanjinappa, U. K. P. Birur, A. Suresh, M. A. Kuriakose, Z. Chen, P. Wilder-Smith, "Optical coherence tomography as an oral cancer screening adjunct in a low resource settings," IEEE J. Sel. Top. Quantum 25(1), 7202008 (2019).

[2] Z. Hamdoon, W. Jerjes, T. Upile, G. McKenzie, A. Jay, C. Hopper, "Optical coherence tomography in the assessment of suspicious oral lesions: An immediate ex vivo study," Photodiagn. Photodyn. 10, 17–27 (2013).

[3] O. K. Adegun, P. H. Tomlins, E. Hagi-Pavli, G. McKenzie, K. Piper, D. L. Bader, F. Fortune, "Quantitative analysis of optical coherence tomography and histopathology images of normal and dysplastic oral mucosal tissues," Lasers Med. Sci. 27, 795–804 (2012).

[4] D. A. Andreadis, A.-M. Pavlou, P. Panta, Biopsy and oral squamous cell carcinoma histopathology, Oral Cancer Detection, pp. 133–151, Springer, Cham (2019).

[5] R. Izzetti, G. Fantoni, F. Gelli, L. Faggioni, S. Vitali, M. Gabriele, D. Caramella, "Feasibility of intraoral ultrasonography in the diagnosis of oral soft tissue lesions: A preclinical assessment on an ex vivo specimen," Radiol. Med. 123, 135–142 (2018).

[6] N. Kanchwala, N. Kumar, S. Gupta, H. Lokhandwala, "Fluorescence spectroscopic study on malignant and premalignant oral mucosa of patients undergoing treatment: An observational prospective study," Int. J. Surg. 55, 87–91 (2018).

[7] G. Lu, D. Wang, X. Qin, S. Muller, X. Wang, A. Y. Chen, Z. G. Chen, B. Fei, "Detection and delineation of squamous neoplasia with hyperspectral imaging in a mouse model of tongue carcinogenesis," J. Biophotonics 11, 201700078 (2018).

[8] J. Heidkamp, W. L. J. Weijs, A. C. H. van Engenvan Grunsven, I. de Laak-de Vries, M. C. Maas, M. M. Rovers, J. J. Futterer, S. C. A. Steens, R. P. Takes, "Assessment of surgical tumor-free resection margins in fresh squamous-cell carcinoma resection specimens of the tongue using a clinical MRI system," Head Neck 42, 2039–2049 (2020).

[9] D. Huang, E. A. Swanson, C. P. Lin, J. S. Schuman, W. G. Stinson, W. Chang, M. R. Hee, T. Flotte, K. Gregory, C. A. Puliafito, J. G. Fujimoto, "Optical coherence tomography," Science 254, 1178–1181 (1991).

[10] G. Rebolleda, L. Diez-Alvarez, A. Casado, C. Sanchez- Sanchez, E. de Dompablo, J. J. Gonzalez-Lopez, F. J. Munoz-Negrete, "OCT: New perspectives in neuroophthalmology," Saudi J. Ophthalmol. 29, 9–25 (2015).

[11] M. Paulo, J. Sandoval, V. Lennie, J. Dutary, M. Medina, N. Gonzalo, P. Jimenez-Quevedo, J. Escaned, C. Banuelos, R. Hernandez, C. Macaya, F. Alfonso, "Combined use of OCT and IVUS in spontaneous coronary artery dissection," JACC Cardiovasc. Imaging 6(7), 830–832 (2013).

[12] T. H. Tsai, C. L. Leggett, A. J. Trindade, A. Sethi, A. F. Swager, V. Joshi, J. J. Bergman, H. Mashimo, N. S. Nishioka, E. Namati, "Optical coherence tomography in gastroenterology: A review and future outlook," J. Biomed. Opt. 22(12), 121716 (2017).

[13] J. Olsen, J. Holmes, G. B. E. Jemec, "Advances in optical coherence tomography in dermatology-a review," J. Biomed. Opt. 23(4), 040901 (2018).

[14] J. G. Fujimoto, C. Pitris, S. A. Boppart, M. E. Brezinski, "Optical coherence tomography: An emerging technology for biomedical imaging and optical biopsy," Neoplasia 2(1), 9–25 (2000).

[15] P. Surlin, A. Camen, S. I. Stratul, A. Roman, D. N. Gheorghe, E. Herascu, E. Osiac, I. Rogoveanu, "Optical coherence tomography assessment of gingival epithelium inflammatory status in periodontal — Systemic affected patients," Ann. Anat. 219, 51–56 (2018).

[16] W. Jerjes, T. Upile, B. Conn, Z. Hamdoon, C. S. Betz, G. McKenzie, H. Radhi, M. Vourvachis, M. E. Maaytah, A. Sandison, A. Jay, C. Hopper, "In vitro examination of suspicious oral lesions using optical coherence tomography," Br. J. Oral Maxillofac. Surg. 48, 18–25 (2010).

[17] A. V. Maslennikova, M. A. Sirotkina, A. A. Moiseev, E. S. Finagina, S. Y. Ksenofontov, G. V. Gelikonov, L. A. Matveev, E. B. Kiseleva, V. Y. Zaitsev, E. V. Zagaynova, F. I. Feldchtein, N. D. Gladkova, A. Vitkin, "In-vivo longitudinal imaging of microvascular changes in irradiated oral mucosa of radiotherapy cancer patients using optical coherence tomography," Sci. Rep. 7, 16505 (2017).

[18] P.-H. Chen, C.-H. Wu, Y.-F. Chen, Y.-C. Yeh, B.- H. Lin, K.-W. Chang, P.-Y. Lai, M.-C. Hou, C.-L. Lu, W.-C. Kuo, "Combination of structural and vascular optical coherence tomography for differentiating oral lesions of mice in different carcinogenesis stages," Biomed. Opt. Express 9(4), 1461–1476 (2018).

[19] B. Davoudi, A. Lindenmaier, B. A. Standish, G. Allo, K. Bizheva, A. Vitkin, "Noninvasive in vivo structural and vascular imaging of human oral tissues with spectral domain optical coherence tomography," Biomed. Opt. Express 3(5), 826–839 (2012).

[20] M.-T. Tsai, Y. Chen, C.-Y. Lee, B.-H. Huang, N. H. Trung, Y.-J. Lee, Y.-L. Wang, "Noninvasive structural and microvascular anatomy of oral mucosae using handheld optical coherence tomography," Biomed. Opt. Express 8(11), 5001–5012 (2017).

[21] C.-K. Lee, M.-T. Tsai, H.-C. Lee, H.-M. Chen, C.-P. Chiang, Y.-M. Wang, C.-C. Yang, "Diagnosis of oral submucous fibrosis with optical coherence tomography," J. Biomed. Opt. 14(5), 054008 (2009).

[22] M.-T. Tsai, H.-C. Lee, C.-K. Lee, C.-H. Yu, H.-M. Chen, C.-P. Chiang, C.-C. Chang, Y.-M. Wang, C. C. Yang, "Effective indicators for diagnosis of oral cancer using optical coherence tomography," Opt. Express 16(20), 15847–15862 (2008).

[23] Z. Yang, J. Shang, C. Liu, J. Zhang, Y. Liang, "Identification of oral cancer in OCT images based on an optical attenuation model," Laser Med. Sci. 35(9), 1999–2007 (2020).

[24] K. Liang, O. O. Ahsen, Z. Wang, H.-C. Lee, W. Liang, B. M. Potsaid, T.-H. Tsai, M. G. Giacomelli, V. Jayaraman, H. Mashimo, X. Li, J. G. Fujimoto, "Endoscopic forward-viewing optical coherence tomography and angiography with MHz swept source," Opt. Lett. 42(16), 3193–3196 (2017).

[25] S. Wang, M. Singh, A. L. Lopez III, C. Wu, R. Raghunathan, A. Schill, J. Li, K. V. Larin, I. V. Larina, "Direct four-dimensional structural and functional imaging of cardiovascular dynamics in mouse embryos with 1.5 MHz optical coherence tomography," Opt. Lett. 40(20), 4791–4794 (2015).

[26] M. Lenz, R. Krug, C. Dillmann, R. Stroop, N. C. Gerhardt, H. Welp, K. Schmieder, M. R. Hofmann, "Automated differentiation between meningioma and healthy brain tissue based on optical coherence tomography ex vivo images using texture features," J. Biomed. Opt. 23(7), 071205 (2018).

[27] Y. Gan, D. Tsay, S. B. Amir, C. C. Marboe, C. P. Hendon, "Automated classification of optical coherence tomography images of human atrial tissue," J. Biomed. Opt. 21(10), 101407 (2016).

[28] S. Adabi, M. Hosseinzadeh, S. Noei, S. Conforto, S. Daveluy, A. Clayton, D. Mehregan, M. Nasiriavanaki, "Universal in vivo textural model for human skin based on optical coherence tomograms," Sci. Rep. 7, 17912 (2017).

[29] Z. Yang, J. Shang, C. Liu, J. Zhang, F. Hou, Y. Liang, "Intraoperative imaging of oral-maxillofacial lesions using optical coherence tomography," J. Innov. Opt. Health Sci. 13(2), 2050010 (2020).

[30] K. Li, Z. Yang, W. Liang, J. Shang, Y. Liang, S. Wan, "Low-cost, ultracompact handheld optical coherence tomography probe for in vivo oral maxillofacial tissue imaging," J. Biomed. Opt. 25(4), 046003 (2020).

[31] F. Hou, Y. Yu, Y. Liang, "Automatic identification of parathyroid in optical coherence tomography images," Laser Surg. Med. 49, 305–311 (2017).

[32] D. Bian, K. Tao, Z. Yuan, H. Kuang, Z. Liu, Y. Liang, "Identification of atherosclerotic plaques in intravascular optical coherence tomography images based on textures and artificial neural network," Laser Phys. 30, 035602 (2020).

[33] X. Qi, M. V. Sivak Jr, G. Isenberg, J. E. Willis, A. M. Rollins, "Computer-aided diagnosis of dysplasia in Barrett's esophagus using endoscopic optical coherence tomography," J. Biomed. Opt. 11(4), 044010 (2006).

[34] K. K. Vasan, B. Surendiran, "Dimensionality reduction using principal component analysis for network intrusion detection," Perspect. Sci. 8, 510– 512 (2016).

[35] Y. Zhu, W. Gao, Z. Guo, Y. Zhou, Y. Zhou, "Liver tissue classification of en face images by fractal dimension-based support vector machine," J. Biophotonics 13(4), e201960154 (2020).

[36] C. Wang, Y. Long, W. Li, W. Dai, S. Xie, Y. Liu, Y. Zhang, M. Liu, Y. Tian, Q. Li, Y. Duan, "Exploratory study on classification of lung cancer subtypes through a combined K-nearest neighbor classifier in breathomics," Sci. Rep. 10, 5880 (2020).

[37] M. Tsai, H. Wang, G. Lee, Y. Lin, S. Chiu, "A decision tree based classifier to analyze human ovarian cancer cDNA microarray datasets," J. Med. Syst. 40(1), 21 (2016).

[38] C. He, Z. Li, J. Wang, Y. Huang, Y. Yin, Z. Li, "Atherosclerotic plaque tissue characterization: An OCT-based machine learning algorithm with ex vivo validation," Front. Bioeng. Biotechnol. 8, 749 (2020).

[39] N. Anantrasirichai, A. Achim, J. E. Morgan, I. Erchova, L. Nicholson, SVM-based texture classifi- cation in optical coherence tomography, IEEE 10th Int. Symp. Biomedical Imaging, San Francisco, CA, 2013, pp. 1332–1335.

[40] A. Subudhi, M. Dash, S. Sabut, "Automated segmentation and classifiaction of brain stoke using expectation-maximization and random forest classifier," Biocybern. Biomed. Eng. 40, 277–289 (2020).

[41] J. Xu, W. Yang, C. Wan, J. Shen, "Weakly supervised detection of central serous chorioretinopathy based on local binary patterns and discrete wavelet transform," Comput. Biol. Med. 127, 104056 (2020).

[42] Z. Camlica, H. R. Tizhoosh, F. Khalvati, Medical image classification via SVMusing LBP features from saliency-based folded data, The 14th Int. Conf. Machine Learning and Applications (IEEE ICMLA'15), Miami, Florida, USA, 2015, pp. 128–132.