Department of Pathology, Pusan National University Hospital and Pusan National University School of Medicine, and Biomedical Research Institute, Pusan National University Hospital, Busan, Korea 602-739.
Hum Pathol. 2013 Dec;44(12):2829-36. doi: 10.1016/j.humpath.2013.07.037. Epub 2013 Oct 15.
After endoscopic resection of early gastric cancer (EGC), it is imperative to accurately determine whether follow-up surgery is indicated, since this technique is used as a first line of treatment. Herein, we developed a scoring system to indicate the risk of lymph node metastasis in submucosal EGC (smEGC), and present a novel method to measure depth of submucosal invasion. In our series, 15.9% of the smEGC presented with lymph node metastasis. A nodal prediction index, based on the variables extracted from the univariate analysis and defined as nodal prediction index = (2.128 × lymphovascular tumor emboli) + (1.083 × submucosal invasion width ≥ 0.75 cm) + (0.507 × submucosal invasion depth ≥ 1000 μm) + (0.515 × infiltrative growth pattern), yielded an area under the receiver operating characteristic curve of 0.809 (P =.000, 95% CI = 0.713-0.096) in a training group, and showed comparable result in validation group (0.886, P =.000, 95% CI = 0.796-0.977). Depth of invasion was statistically higher in the metastatic group when measured from the lowest point of an imaginary line in continuity with the adjacent muscularis mucosa to the point of deepest tumor penetration, but not when using the classic measurement method. The area under the receiver operating characteristic curve of the alternative measurement method was 0.652 (P =.013, 95% CI = 0.550-0.754) compared to 0.620 for the classic measurement method (P =.0480, 95% CI = 0.509-0.731). In deciding whether surgery is indicated after endoscopic submucosal dissection for smEGCs, we recommend to test our alternative method of measuring submucosal invasion and to evaluate our nodal prediction index as an adjunct tool.
在进行早期胃癌(EGC)的内镜切除后,必须准确判断是否需要进行后续手术,因为该技术被用作一线治疗方法。在此,我们开发了一种评分系统来指示黏膜下 EGC(smEGC)的淋巴结转移风险,并提出了一种新的测量黏膜下浸润深度的方法。在我们的系列中,15.9%的 smEGC 存在淋巴结转移。一个节点预测指数,基于从单因素分析中提取的变量,并定义为节点预测指数=(2.128×淋巴管血管肿瘤栓塞)+(1.083×黏膜下浸润宽度≥0.75cm)+(0.507×黏膜下浸润深度≥1000μm)+(0.515×浸润性生长模式),在训练组中的受试者工作特征曲线下面积为 0.809(P=.000,95%置信区间=0.713-0.096),在验证组中显示出可比的结果(0.886,P=.000,95%置信区间=0.796-0.977)。当从与相邻黏膜肌连续的假想线的最低点测量到肿瘤穿透的最深点时,浸润深度在转移性组中具有统计学意义,但使用经典测量方法时则没有。替代测量方法的受试者工作特征曲线下面积为 0.652(P=.013,95%置信区间=0.550-0.754),而经典测量方法为 0.620(P=.0480,95%置信区间=0.509-0.731)。在决定是否对 smEGC 进行内镜黏膜下剥离后是否进行手术时,我们建议测试我们的替代黏膜下浸润测量方法,并将我们的节点预测指数作为辅助工具进行评估。