Abstract
An autofluorescence imaging video-endoscopy system (AFI) produces real-time pseudocolor images from computed detection of autofluorescence emitted by endogenous fluorophores in the mucosa. In the AFI images of the gastric body, the fundic mucosa appears purple, whereas atrophic mucosa appear bright green. Gastric tumors appear purple or green in the AFI images according to their morphology, i.e., elevated or depressed, respectively. Therefore, the color patterns of gastric tumors are classified into four types: purple tumors in a green background, purple tumors in a purple background, green tumors in a green background, and green tumors in a purple background. Purple tumors in a green background and green tumors in a purple background are readily distinguished by their color. In contrast, purple tumors in a purple background are difficult to define by color. Green tumors in a green background appear similar in color to the surrounding mucosa, but the tumor extension can be determined by their purple rim. Diagnostic accuracy of AFI for tumor extension was better (68%) than that by white light endoscopy (36%), but was not as good as chromoendoscopy (91%). The low accuracy rate was mainly caused by interference of an ulceration or scar, while the AFI diagnosed flat tumor extension more accurately than did white light images. Because the AFI could visualize flat or isochromatic tumor extension compared with white light endoscopy, it detected more multiple neoplasia in patients who underwent endoscopic treatment.
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References
Mayinger B, Jordan M, Horbach T, et al (1993) Evaluation of in vivo endoscopic autofluorescence spectroscopy in gastric cancer. Gastrointest Endosc 59:191–198
Tatsuta M, Iishi H, Nakaizumi A, et al (1993) Fundal atrophic gastritis as a risk factor for gastric cancer. Int J Cancer 53:70–74
Kara MA, Peters FP, Ten Kate FJ, et al (2005) Endoscopic video autofluorescence imaging may improve the detection of early neoplasia in patients with Barrett’s esophagus. Gastrointest Endosc 61:679–685
Uedo N, Iishi H, Ishinhara R, et al (2006) Novel autofluorescence video-endoscopy imaging system for diagnosis of cancers in the digestive tract. Dig. Endosc 18:S131–S136
Kato M, Uedo N, Iishi H (2007) Analysis of color pattern of early gastric cancer by autofluorescence imaging videoendoscopy system. Gastrointest Endosc 65:AB356
Uedo N, Iishi H, Tatsuta M, et al (2005) A novel video endoscopy system by using autofluorescence and reflectance imaging for diagnosis of esophagogastric cancers. Gastrointest Endosc 62:521–528
Uedo N, Iishi H, Tekeuchi Y, et al (2005) Diagnosis of early gastric cancer using endoscopic screening with autofluorescence video-endoscopy. Endoscopy 37:A26
Uedo N, Higashino K, Ishihara R, et al (2007) Diagnosis of colonic adenomas by new autofluorescence imaging system: a pilot study. Dig Endosc 18:S131–S136
Kato M, Kaise M, Yonezawa J, et al (2007) Autofluorescence endoscopy versus conventional white light endoscopy for the detection of superficial gastric neoplasia: a prospective comparative study. Endoscopy 39:937–941
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© 2008 Springer
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Uedo, N., Ishihara, R., Iishi, H. (2008). Autofluorescence Imaging Video-Endoscopy System for Diagnosis of Superficial Gastric Neoplasia. In: Niwa, H., Tajiri, H., Nakajima, M., Yasuda, K. (eds) New Challenges in Gastrointestinal Endoscopy. Springer, Tokyo. https://doi.org/10.1007/978-4-431-78889-8_18
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DOI: https://doi.org/10.1007/978-4-431-78889-8_18
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-78888-1
Online ISBN: 978-4-431-78889-8
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