Utility of linked color imaging for endoscopic diagnosis of early gastric cancer

Toshihisa Fujiyoshi, Ryoji Miyahara, Kohei Funasaka, Kazuhiro Furukawa, Tsunaki Sawada, Keiko Maeda, Takeshi Yamamura, Takuya Ishikawa, Eizaburo Ohno, Masanao Nakamura, Hiroki Kawashima, Masato Nakaguro, Masahiro Nakatochi, Yoshiki Hirooka

研究成果: Article査読

12 被引用数 (Scopus)

抄録

BACKGROUND: Linked color imaging (LCI) is a method of endoscopic imaging that emphasizes slight differences in red mucosal color. AIM: To evaluate LCI in diagnostic endoscopy of early gastric cancer and to compare LCI and pathological findings. METHODS: Endoscopic images were obtained for 39 patients (43 lesions) with early gastric cancer. Three endoscopists evaluated lesion recognition with white light imaging (WLI) and LCI. Color values in Commission Internationale de l'Eclairage (CIE) 1976 L*a*b* color space were used to calculate the color difference (ΔE) between cancer lesions and non-cancer areas. After endoscopic submucosal dissection, blood vessel density in the surface layer of the gastric epithelium was evaluated pathologically. The identical region of interest was selected for analyses of endoscopic images (WLI and LCI) and pathological analyses. RESULTS: LCI was superior for lesion recognition (P < 0.0001), and ΔE between cancer and non-cancer areas was significantly greater with LCI than WLI (29.4 vs 18.6, P < 0.0001). Blood vessel density was significantly higher in cancer lesions (5.96% vs 4.15%, P = 0.0004). An a* cut-off of ≥ 24 in CIE 1976 L*a*b* color space identified a cancer lesion using LCI with sensitivity of 76.7%, specificity of 93.0%, and accuracy of 84.9%. CONCLUSION: LCI is more effective for recognition of early gastric cancer compared to WLI as a result of improved visualization of changes in redness. Surface blood vessel density was significantly higher in cancer lesions, and this result is consistent with LCI image analysis.

本文言語English
ページ(範囲)1248-1258
ページ数11
ジャーナルWorld Journal of Gastroenterology
25
10
DOI
出版ステータスPublished - 2019

All Science Journal Classification (ASJC) codes

  • Gastroenterology

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