A Computer System To Be Used With Laser-based Endoscopy for Quantitative Diagnosis of Early Gastric Cancer

作者：Miyaki Rie; Yoshida Shigeto^*; Tanaka Shinji; Kominami Yoko; Sanomura Yoji; Matsuo Taiji; Oka Shiro; Raytchev Bisser; Tamaki Toru; Koide Tetsushi; Kaneda Kazufumi; Yoshihara Masaharu; Chayama Kazuaki

来源：Journal of Clinical Gastroenterology, 2015, 49(2): 108-115.

DOI：10.1097/mcg.0000000000000104

• laser-based endoscopy
• early gastric cancer
• magnifying endoscopy
• quantitative analysis

Goals: To evaluate the usefulness of a newly devised computer system for use with laser-based endoscopy in differentiating between early gastric cancer, reddened lesions, and surrounding tissue.
Background: Narrow-band imaging based on laser light illumination has come into recent use. We devised a support vector machine (SVM)-based analysis system to be used with the newly devised endoscopy system to quantitatively identify gastric cancer on images obtained by magnifying endoscopy with blue-laser imaging (BLI). We evaluated the usefulness of the computer system in combination with the new endoscopy system.
Study: We evaluated the system as applied to 100 consecutive early gastric cancers in 95 patients examined by BLI magnification at Hiroshima University Hospital. We produced a set of images from the 100 early gastric cancers; 40 flat or slightly depressed, small, reddened lesions; and surrounding tissues, and we attempted to identify gastric cancer, reddened lesions, and surrounding tissue quantitatively.
Results: The average SVM output value was 0.846 +/- 0.220 for cancerous lesions, 0.381 +/- 0.349 for reddened lesions, and 0.219 +/- 0.277 for surrounding tissue, with the SVM output value for cancerous lesions being significantly greater than that for reddened lesions or surrounding tissue. The average SVM output value for differentiated-type cancer was 0.840 +/- 0.207 and for undifferentiated-type cancer was 0.865 +/- 0.259.
Conclusions: Although further development is needed, we conclude that our computer-based analysis system used with BLI will identify gastric cancers quantitatively.

• 出版日期2015-2