New method for detection of gastric cancer by hyperspectral imaging: a pilot study

Shuu Kiyotoki; Jun Nishikawa; Takeshi Okamoto; Kouichi Hamabe; Mari Saito; Atsushi Goto; Yusuke Fujita; Yoshihiko Hamamoto; Yusuke Takeuchi; Shin Satori; Isao Sakaida

doi:10.1117/1.JBO.18.2.026010

6 February 2013 New method for detection of gastric cancer by hyperspectral imaging: a pilot study

Shuu Kiyotoki, Jun Nishikawa, Takeshi Okamoto, Kouichi Hamabe, Mari Saito, Atsushi Goto, Yusuke Fujita, Yoshihiko Hamamoto, Yusuke Takeuchi, Shin Satori, Isao Sakaida

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Journal of Biomedical Optics, Vol. 18, Issue 2, 026010 (February 2013). https://doi.org/10.1117/1.JBO.18.2.026010

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.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Shuu Kiyotoki, Jun Nishikawa, Takeshi Okamoto, Kouichi Hamabe, Mari Saito, Atsushi Goto, Yusuke Fujita, Yoshihiko Hamamoto, Yusuke Takeuchi, Shin Satori, and Isao Sakaida "New method for detection of gastric cancer by hyperspectral imaging: a pilot study," Journal of Biomedical Optics 18(2), 026010 (6 February 2013). https://doi.org/10.1117/1.JBO.18.2.026010

Published: 6 February 2013

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