Objectives: A newly developed computed virtual chromoendoscopy system, Fuji Intelligent Color Enhancement (FICE) technology, decomposes images by wavelength, then directly produces reconstructed images with enhanced mucosal surface contrast. The aims of the present study were to determine the quality of information provided by computed virtual chromoendoscopy for detecting gastrointestinal polyps and to identify the best channel setting for imaging.
Patients and methods: Thirty-one upper endoscopy procedures were performed in 31 patients using Fujinon 1.3-million-pixel endoscopes with zoom. A polyp was diagnosed in 45% of the patients. Six experienced endoscopists, who had never used the computed virtual chromoendoscopy system before, analysed the 31 endoscopy reports. Each endoscopy report included 11 images (one conventional image and one image for each FICE channel). The endoscopists used a 10-cm analog visual scale to determine the three best FICE channels, and to evaluate the quality and pit pattern of the chromoendoscopy images.
Results: Channel 4 (red: 520; green: 500; blue: 405) was considered the best channel in 39.7% of the reports (p<0.0001) and was among the best three in 77%. For 94.1% of the reports, the best FICE channel image was considered superior to the conventional image (p<0.0001). Median pit pattern score was 9.43 for computed virtual chromoendoscopy and 7.08 for conventional endoscopy (p<0.001).
Conclusion: Fuji Intelligent Color Enhancement (FICE) channel 4 images were significantly better than conventional images. Computed virtual chromoendoscopy enabled better analysis of the pit pattern and the normal-pathological mucosal junction. Computed virtual chromoendoscopy can be used to identify gastroduodenal polyps and to assist in complete polypectomy.