Detection and delineation of squamous neoplasia with hyperspectral imaging in a mouse model of tongue carcinogenesis. Issue 3 (29th October 2017)

• Record Type: Journal Article
• Authors: Lu, Guolan; Wang, Dongsheng; Qin, Xulei; Muller, Susan; Wang, Xu; Chen, Amy Y.; Chen, Zhuo Georgia; Fei, Baowei
• Is Part Of: Journal of biophotonics. Volume 11:Issue 3(2018)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2017-10-29
• Subjects: 4NQO‐induced tongue carcinogenesis model -- ensemble LDA -- hyperspectral imaging -- linear discriminant analysis -- linear support vector machine -- random forest -- squamous neoplasia -- supervised learning; Photonics -- Periodicals; Optical materials -- Periodicals; Optics -- Periodicals; Medical instruments and apparatus -- Periodicals; 621.3605
• DOI: 10.1002/jbio.201700078
• Languages: English
• ISSNs: 1864-063X

Abstract

Abstract : Hyperspectral imaging (HSI) holds the potential for the noninvasive detection of cancers. Oral cancers are often diagnosed at a late stage when treatment is less effective and the mortality and morbidity rates are high. Early detection of oral cancer is, therefore, crucial in order to improve the clinical outcomes. To investigate the potential of HSI as a noninvasive diagnostic tool, an animal study was designed to acquire hyperspectral images of in vivo and ex vivo mouse tongues from a chemically induced tongue carcinogenesis model. A variety of machine‐learning algorithms, including discriminant analysis, ensemble learning, and support vector machines, were evaluated for tongue neoplasia detection using HSI and were validated by the reconstructed pathological gold‐standard maps. The diagnostic performance of HSI, autofluorescence imaging, and fluorescence imaging were compared in this study. Color‐coded prediction maps were generated to display the predicted location and distribution of premalignant and malignant lesions. This study suggests that hyperspectral imaging combined with machine‐learning techniques can provide a noninvasive tool for the quantitative detection and delineation of squamous neoplasia. Abstract : Detection and delineation of tongue neoplasia with hyperspectral imaging validated by the pathological gold standard.