Novel quantitative analysis of autofluorescence images for oral cancer screening

Tze Ta Huang, Jehn Shyun Huang, Yen Yun Wang, Ken Chung Chen, Tung Yiu Wong, Yi Chun Chen, Che Wei Wu, Leong Perng Chan, Yi Chu Lin, Yu Hsun Kao, Shoko Nioka, Shyng Shiou F. Yuan, Pau Choo Chung

研究成果: Article

12 引文 斯高帕斯(Scopus)

摘要

Objectives VELscope® was developed to inspect oral mucosa autofluorescence. However, its accuracy is heavily dependent on the examining physician's experience. This study was aimed toward the development of a novel quantitative analysis of autofluorescence images for oral cancer screening. Materials and methods Patients with either oral cancer or precancerous lesions and a control group with normal oral mucosa were enrolled in this study. White light images and VELscope® autofluorescence images of the lesions were taken with a digital camera. The lesion in the image was chosen as the region of interest (ROI). The average intensity and heterogeneity of the ROI were calculated. A quadratic discriminant analysis (QDA) was utilized to compute boundaries based on sensitivity and specificity. Results 47 oral cancer lesions, 54 precancerous lesions, and 39 normal oral mucosae controls were analyzed. A boundary of specificity of 0.923 and a sensitivity of 0.979 between the oral cancer lesions and normal oral mucosae were validated. The oral cancer and precancerous lesions could also be differentiated from normal oral mucosae with a specificity of 0.923 and a sensitivity of 0.970. Conclusion The novel quantitative analysis of the intensity and heterogeneity of VELscope® autofluorescence images used in this study in combination with a QDA classifier can be used to differentiate oral cancer and precancerous lesions from normal oral mucosae.

原文English
頁(從 - 到)20-26
頁數7
期刊Oral Oncology
68
DOIs
出版狀態Published - 2017 五月 1

    指紋

All Science Journal Classification (ASJC) codes

  • Oral Surgery
  • Oncology
  • Cancer Research

引用此

Huang, T. T., Huang, J. S., Wang, Y. Y., Chen, K. C., Wong, T. Y., Chen, Y. C., Wu, C. W., Chan, L. P., Lin, Y. C., Kao, Y. H., Nioka, S., Yuan, S. S. F., & Chung, P. C. (2017). Novel quantitative analysis of autofluorescence images for oral cancer screening. Oral Oncology, 68, 20-26. https://doi.org/10.1016/j.oraloncology.2017.03.003