Nagao Misato, Nishikawa Jun, Ogawa Ryo, Sasaki Sho, Nakamura Munetaka, Nishimura Junichi, Goto Atsushi, Hashimoto Shinichi, Okamoto Takeshi, Suenaga Masato, Hamamoto Yoshihiko, Sakaida Isao
Department of Gastroenterology & Hepatology, Yamaguchi University Graduate School of Medicine, Ube, Japan.
Department of Laboratory Science, Yamaguchi University Graduate School of Medicine, Ube, Japan.
Gastroenterol Res Pract. 2016;2016:2439621. doi: 10.1155/2016/2439621. Epub 2016 Sep 28.
This study aimed to evaluate the utility of optical enhancement (OE) in early gastric cancer demarcation. Twenty lesions of early gastric cancer were examined by PENTAX endoscopy system with OE-1 and OE-2 functions. The areas of tumor demarcation identified by 12 evaluators (6 novice and 6 experienced) were compared to the corresponding correct areas determined by postoperative histopathology findings. The misdiagnosed scores that were the sums of false-positive and false-negative areas were compared. Color of one hundred pixels from the inside of the cancerous area and the outside of the cancerous area was expressed as three-dimensional RGB component vectors. The mean vectors and covariance matrixes were calculated and the Mahalanobis distance, indicative of color differences between two areas, was tested. Comparisons of the misdiagnosed score revealed that OE-1 was preferred over WL-1 for gastric cancer demarcation for all 12 evaluators ( = 0.008) and in novice evaluators ( = 0.026). OE-2 was not significantly different from WL-2 in all cases. OE-1 images gave significantly larger Mahalanobis distances, indicative of color differences, than WL-1 images ( = 0.002). It was demonstrated that the OE Mode 1 has a significant advantage over the white light mode in demarcation of early gastric cancer.
本研究旨在评估光学增强(OE)在早期胃癌边界划分中的效用。采用具有OE - 1和OE - 2功能的宾得内窥镜系统对20例早期胃癌病变进行检查。将12名评估者(6名新手和6名经验丰富者)确定的肿瘤边界区域与术后组织病理学检查结果确定的相应正确区域进行比较。比较假阳性和假阴性区域之和的误诊分数。将癌灶内部和癌灶外部的100个像素的颜色表示为三维RGB分量向量。计算平均向量和协方差矩阵,并测试表示两个区域颜色差异的马氏距离。误诊分数的比较显示,对于所有12名评估者(P = 0.008)和新手评估者(P = 0.026),在胃癌边界划分方面,OE - 1优于白光模式(WL - 1)。在所有情况下,OE - 2与白光模式(WL - 2)没有显著差异。OE - 1图像的马氏距离明显大于WL - 1图像,表明颜色差异更大(P = 0.002)。结果表明,在早期胃癌边界划分方面,OE模式1比白光模式具有显著优势。