title: New method for detection of gastric cancer by hyperspectral imaging: a pilot study.
abstract: We developed a new, easy, and objective method to detect gastric cancer using hyperspectral imaging (HSI) technology combining spectroscopy and imaging A total of 16 gastroduodenal tumors removed by endoscopic resection or surgery from 14 patients at Yamaguchi University Hospital, Japan, were recorded using a hyperspectral camera (HSC) equipped with HSI technology Corrected spectral reflectance was obtained from 10 samples of normal mucosa and 10 samples of tumors for each case The 16 cases were divided into eight training cases (160 training samples) and eight test cases (160 test samples) We established a diagnostic algorithm with training samples and evaluated it with test samples Diagnostic capability of the algorithm for each tumor was validated, and enhancement of tumors by image processing using the HSC was evaluated The diagnostic algorithm used the 726-nm wavelength, with a cutoff point established from training samples The sensitivity, specificity, and accuracy rates of the algorithm's diagnostic capability in the test samples were 78.8% (63/80), 92.5% (74/80), and 85.6% (137/160), respectively Tumors in HSC images of 13 (81.3%) cases were well enhanced by image processing Differences in spectral reflectance between tumors and normal mucosa suggested that tumors can be clearly distinguished from background mucosa with HSI technology.
authors: Yamaguchi University Graduate School of Medicine, Department of Gastroenterology and Hepatology, Yamaguchi, Japan.
authors: Shu
authors: S
authors: Kiyotoki
authors: Jun
authors: J
authors: Nishikawa
authors: Takeshi
authors: T
authors: Okamoto
authors: Kouichi
authors: K
authors: Hamabe
authors: Mari
authors: M
authors: Saito
authors: Atsushi
authors: A
authors: Goto
authors: Yusuke
authors: Y
authors: Fujita
authors: Yoshihiko
authors: Y
authors: Hamamoto
authors: Yusuke
authors: Y
authors: Takeuchi
authors: Shin
authors: S
authors: Satori
authors: Isao
authors: I
authors: Sakaida
mesh_terms: D000230:Adenocarcinoma / Q000175:diagnosis; D000236:Adenoma / Q000175:diagnosis; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D004379:Duodenal Neoplasms / Q000175:diagnosis; D005260:Female; D005753:Gastric Mucosa / Q000473:pathology; D006801:Humans; D007089:Image Enhancement; D008297:Male; D008875:Middle Aged; D061848:Optical Imaging / Q000295:instrumentation / Q000379:methods* / Q000706:statistics & numerical data; D055620:Optical Phenomena; D010865:Pilot Projects; D013274:Stomach Neoplasms / Q000175:diagnosis*