Pyo Jeung Hui, Byeon Sun-Ju, Lee Hyuk, Min Yang Won, Min Byung-Hoon, Lee Jun Haeng, Kim Kyoung-Mee, Ahn Hyeon Seon, Kim Kyunga, Choi Yoon-Ho, Kim Jae J
Center for Health Promotion, Samsung Medical Center, Seoul, Korea.
Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Oncotarget. 2017 Dec 4;8(69):113758-113765. doi: 10.18632/oncotarget.22894. eCollection 2017 Dec 26.
BACKGROUND/AIM: The current indication for endoscopic resection in early gastric cancer (EGC) with minute (< 500 µm) submucosal invasion is based on tumor diameter, which may be insufficient to predict lymph node metastasis (LNM). We investigated whether tumor volume might more accurately predict LNM in EGC with minute submucosal invasion.
Among patients who underwent gastrectomy for gastric cancer, 346 with well/moderately differentiated EGC with submucosal invasion <500 µm were evaluated. Three-dimensional tumor volume was calculated using an endoscopically resected specimen and compared with 1-dimensional tumor diameter. Predictive ability of tumor diameter or volume for LNM was evaluated using receiver operating characteristic curve analysis.
Tumor diameter and volume predicted LNM with an area under the curve (AUC) of 0.567 and 0.589, respectively. AUC, sensitivity, specificity, positive and negative predictive values, and accuracy of the 2 models were not significantly different. Tumor diameter ≥ 3 cm showed a significant association with LNM (odds ratio [OR], 2.57; 95% confidence interval [CI], 1.01-6.57; = 0.049), whereas a tumor volume cutoff value of 752.8 cm3 showed no significant association with LNM (OR, 1.52; 95% CI, 0.59-3.88; = 0.385).
Tumor volume had no advantage over diameter for predicting LNM in well/moderately differentiated EGC with minute submucosal invasion.
背景/目的:目前早期胃癌(EGC)伴微小(<500µm)黏膜下浸润时内镜切除的指征是基于肿瘤直径,而这可能不足以预测淋巴结转移(LNM)。我们研究了肿瘤体积是否能更准确地预测伴微小黏膜下浸润的EGC中的LNM。
在因胃癌接受胃切除术的患者中,评估了346例伴黏膜下浸润<500µm的高分化/中分化EGC患者。使用内镜切除标本计算三维肿瘤体积,并与一维肿瘤直径进行比较。使用受试者工作特征曲线分析评估肿瘤直径或体积对LNM的预测能力。
肿瘤直径和体积预测LNM的曲线下面积(AUC)分别为0.567和0.589。两种模型的AUC、敏感性、特异性、阳性和阴性预测值以及准确性无显著差异。肿瘤直径≥3 cm与LNM显著相关(优势比[OR],2.57;95%置信区间[CI],1.01 - 6.57;P = 0.049),而肿瘤体积临界值为752.8 cm³与LNM无显著关联(OR,1.52;95%CI,0.59 - 3.88;P = 0.385)。
对于伴微小黏膜下浸润的高分化/中分化EGC,在预测LNM方面,肿瘤体积并不优于直径。