title: Use of hyperspectral imaging technology to develop a diagnostic support system for gastric cancer.
abstract: 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.
authors.affiliation: Yamaguchi University Graduate School of Medicine, Department of Gastroenterology and Hepatology, Minamikogushi 1-1-1, Ube, Yamaguchi 755-8505, Japan.
authors.forename: Atsushi
authors.initials: A
authors.lastname: Goto
authors.affiliation: Yamaguchi University Graduate School of Medicine, Department of Gastroenterology and Hepatology, Minamikogushi 1-1-1, Ube, Yamaguchi 755-8505, Japan.
authors.forename: Jun
authors.initials: J
authors.lastname: Nishikawa
authors.affiliation: Yamaguchi University Graduate School of Medicine, Department of Gastroenterology and Hepatology, Minamikogushi 1-1-1, Ube, Yamaguchi 755-8505, Japan.
authors.forename: Shu
authors.initials: S
authors.lastname: Kiyotoki
authors.affiliation: Yamaguchi University Graduate School of Medicine, Department of Gastroenterology and Hepatology, Minamikogushi 1-1-1, Ube, Yamaguchi 755-8505, Japan.
authors.forename: Munetaka
authors.initials: M
authors.lastname: Nakamura
authors.affiliation: Yamaguchi University Graduate School of Medicine, Department of Gastroenterology and Hepatology, Minamikogushi 1-1-1, Ube, Yamaguchi 755-8505, Japan.
authors.forename: Junichi
authors.initials: J
authors.lastname: Nishimura
authors.affiliation: Yamaguchi University Graduate School of Medicine, Department of Gastroenterology and Hepatology, Minamikogushi 1-1-1, Ube, Yamaguchi 755-8505, Japan.
authors.forename: Takeshi
authors.initials: T
authors.lastname: Okamoto
authors.affiliation: Yamaguchi University Graduate School of Medicine, Department of Biomolecular Engineering, Tokiwadai 2-16-1, Ube, Yamaguchi 755-8611, Japan.
authors.forename: Hiroyuki
authors.initials: H
authors.lastname: Ogihara
authors.affiliation: Yamaguchi University Graduate School of Medicine, Department of Biomolecular Engineering, Tokiwadai 2-16-1, Ube, Yamaguchi 755-8611, Japan.
authors.forename: Yusuke
authors.initials: Y
authors.lastname: Fujita
authors.affiliation: Yamaguchi University Graduate School of Medicine, Department of Biomolecular Engineering, Tokiwadai 2-16-1, Ube, Yamaguchi 755-8611, Japan.
authors.forename: Yoshihiko
authors.initials: Y
authors.lastname: Hamamoto
authors.affiliation: Yamaguchi University Graduate School of Medicine, Department of Gastroenterology and Hepatology, Minamikogushi 1-1-1, Ube, Yamaguchi 755-8505, Japan.
authors.forename: Isao
authors.initials: I
authors.lastname: Sakaida
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D003952:Diagnostic Imaging / Q000379:methods*; D005260:Female; D005753:Gastric Mucosa / Q000033:anatomy & histology; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008297:Male; D008875:Middle Aged; D013057:Spectrum Analysis / Q000379:methods*; D013274:Stomach Neoplasms / Q000175:diagnosis* / Q000473:pathology