Sumie Hiroaki, Sumie Shuji, Nakahara Keita, Watanabe Yasutomo, Matsuo Ken, Mukasa Michita, Sakai Takeshi, Yoshida Hikaru, Tsuruta Osamu, Sata Michio
Division of Gastroenterology, Department of Medicine, Kurume University School of Medicine, Kurume, Fukuoka 830-0011;
Prevention Center for Adult Diseases, Saga Medical Association, Saga, Saga 849-0942;
Mol Clin Oncol. 2014 Jan;2(1):129-133. doi: 10.3892/mco.2013.213. Epub 2013 Nov 13.
The usefulness of magnifying endoscopy with narrow-band imaging (ME-NBI) for the diagnosis of early gastric cancer is well known, however, there are no evaluation criteria. The aim of this study was to devise and evaluate a novel diagnostic algorithm for ME-NBI in depressed early gastric cancer. Between August, 2007 and May, 2011, 90 patients with a total of 110 depressed gastric lesions were enrolled in the study. A diagnostic algorithm was devised based on ME-NBI microvascular findings: microvascular irregularity and abnormal microvascular patterns (fine network, corkscrew and unclassified patterns). The diagnostic efficiency of the algorithm for gastric cancer and histological grade was assessed by measuring its mean sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy. Furthermore, inter- and intra-observer variation were measured. In the differential diagnosis of gastric cancer from non-cancerous lesions, the mean sensitivity, specificity, PPV, NPV, and accuracy of the diagnostic algorithm were 86.7, 48.0, 94.4, 26.7, and 83.2%, respectively. Furthermore, in the differential diagnosis of undifferentiated adenocarcinoma from differentiated adenocarcinoma, the mean sensitivity, specificity, PPV, NPV, and accuracy of the diagnostic algorithm were 61.6, 86.3, 69.0, 84.8, and 79.1%, respectively. For the ME-NBI final diagnosis using this algorithm, the mean κ values for inter- and intra-observer agreement were 0.50 and 0.77, respectively. In conclusion, the diagnostic algorithm based on ME-NBI microvascular findings was convenient and had high diagnostic accuracy, reliability and reproducibility in the differential diagnosis of depressed gastric lesions.
窄带成像放大内镜(ME-NBI)对早期胃癌诊断的有效性已广为人知,然而,目前尚无评估标准。本研究的目的是设计并评估一种针对凹陷型早期胃癌的ME-NBI新型诊断算法。在2007年8月至2011年5月期间,90例共有110处凹陷型胃病变的患者纳入本研究。基于ME-NBI微血管表现(微血管不规则和异常微血管形态(细网状、螺旋状和未分类形态))设计了一种诊断算法。通过测量其平均敏感性、特异性、阳性预测值(PPV)、阴性预测值(NPV)和准确性,评估该算法对胃癌及组织学分级的诊断效率。此外,还测量了观察者间和观察者内的差异。在胃癌与非癌性病变的鉴别诊断中,该诊断算法的平均敏感性、特异性、PPV、NPV和准确性分别为86.7%、48.0%、94.4%、26.7%和83.2%。此外,在未分化腺癌与分化型腺癌的鉴别诊断中,该诊断算法的平均敏感性、特异性、PPV、NPV和准确性分别为61.6%、86.3%、69.0%、84.8%和79.1%。对于使用该算法的ME-NBI最终诊断,观察者间和观察者内一致性的平均κ值分别为0.50和0.77。总之,基于ME-NBI微血管表现的诊断算法简便易行,在凹陷型胃病变的鉴别诊断中具有较高的诊断准确性、可靠性和可重复性。