20 January 2015 Use of hyperspectral imaging technology to develop a diagnostic support system for gastric cancer
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Hyperspectral imaging (HSI) is a new technology that obtains spectroscopic information and renders it in image form. This study examined the difference in the spectral reflectance (SR) of gastric tumors and normal mucosa recorded with a hyperspectral camera equipped with HSI technology and attempted to determine the specific wavelength that is useful for the diagnosis of gastric cancer. A total of 104 gastric tumors removed by endoscopic submucosal dissection from 96 patients at Yamaguchi University Hospital were recorded using a hyperspectral camera. We determined the optimal wavelength and the cut-off value for differentiating tumors from normal mucosa to establish a diagnostic algorithm. We also attempted to highlight tumors by image processing using the hyperspectral camera’s analysis software. A wavelength of 770 nm and a cut-off value of 1/4 the corrected SR were selected as the respective optimal wavelength and cut-off values. The rates of sensitivity, specificity, and accuracy of the algorithm’s diagnostic capability were 71%, 98%, and 85%, respectively. It was possible to enhance tumors by image processing at the 770-nm wavelength. HSI can be used to measure the SR in gastric tumors and to differentiate between tumorous and normal mucosa.
© 2015 Society of Photo-Optical Instrumentation Engineers (SPIE)
Atsushi Goto, Atsushi Goto, Jun Nishikawa, Jun Nishikawa, Shu Kiyotoki, Shu Kiyotoki, Munetaka Nakamura, Munetaka Nakamura, Junichi Nishimura, Junichi Nishimura, Takeshi Okamoto, Takeshi Okamoto, Hiroyuki Ogihara, Hiroyuki Ogihara, Yusuke Fujita, Yusuke Fujita, Yoshihiko Hamamoto, Yoshihiko Hamamoto, Isao Sakaida, Isao Sakaida, } "Use of hyperspectral imaging technology to develop a diagnostic support system for gastric cancer," Journal of Biomedical Optics 20(1), 016017 (20 January 2015). https://doi.org/10.1117/1.JBO.20.1.016017 . Submission:

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