A Nomogram for Predicting Extraperigastric Lymph Node Metastasis in Patients With Early Gastric Cancer.

IF 3.2 4区 医学 Q2 GASTROENTEROLOGY & HEPATOLOGY Journal of Gastric Cancer Pub Date : 2023-04-01 DOI:10.5230/jgc.2023.23.e18
Hyun Joo Yoo, Hayemin Lee, Han Hong Lee, Jun Hyun Lee, Kyong-Hwa Jun, Jin-Jo Kim, Kyo-Young Song, Dong Jin Kim
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Abstract

Background: There are no clear guidelines to determine whether to perform D1 or D1+ lymph node dissection in early gastric cancer (EGC). This study aimed to develop a nomogram for estimating the risk of extraperigastric lymph node metastasis (LNM).

Materials and methods: Between 2009 and 2019, a total of 4,482 patients with pathologically confirmed T1 disease at 6 affiliated hospitals were included in this study. The basic clinicopathological characteristics of the positive and negative extraperigastric LNM groups were compared. The possible risk factors were evaluated using univariate and multivariate analyses. Based on these results, a risk prediction model was developed. A nomogram predicting extraperigastric LNM was used for internal validation.

Results: Multivariate analyses showed that tumor size (cut-off value 3.0 cm, odds ratio [OR]=1.886, P=0.030), tumor depth (OR=1.853 for tumors with sm2 and sm3 invasion, P=0.010), cross-sectional location (OR=0.490 for tumors located on the greater curvature, P=0.0303), differentiation (OR=0.584 for differentiated tumors, P=0.0070), and lymphovascular invasion (OR=11.125, P<0.001) are possible risk factors for extraperigastric LNM. An equation for estimating the risk of extraperigastric LNM was derived from these risk factors. The equation was internally validated by comparing the actual metastatic rate with the predicted rate, which showed good agreement.

Conclusions: A nomogram for estimating the risk of extraperigastric LNM in EGC was successfully developed. Although there are some limitations to applying this model because it was developed based on pathological data, it can be optimally adapted for patients who require curative gastrectomy after endoscopic submucosal dissection.

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预测早期胃癌胃外淋巴结转移的Nomogram。
背景:早期胃癌(EGC)是否行D1或D1+淋巴结清扫尚无明确的指导方针。本研究旨在建立一种评估胃外淋巴结转移(LNM)风险的nomogram。材料与方法:2009 - 2019年,共纳入6家附属医院病理证实的T1患者4482例。比较胃外淋巴结转移阳性组和阴性组的基本临床病理特征。采用单因素和多因素分析评估可能的危险因素。在此基础上,建立了风险预测模型。采用预测胃外LNM的nomogram方法进行内部验证。结果:多因素分析显示,肿瘤大小(截断值3.0 cm,优势比[OR]=1.886, P=0.030)、肿瘤深度(浸润sm2和sm3的肿瘤OR=1.853, P=0.010)、横切面位置(位于大曲率的肿瘤OR=0.490, P=0.0303)、分化程度(分化程度OR=0.584, P=0.0070)、淋巴血管浸润程度(OR=11.125, P)是评价EGC胃外淋巴结转移风险的nomogram。虽然该模型的应用有一定的局限性,因为它是基于病理资料建立的,但它可以最适合于内镜下粘膜下剥离后需要治疗性胃切除术的患者。
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来源期刊
Journal of Gastric Cancer
Journal of Gastric Cancer Biochemistry, Genetics and Molecular Biology-Cancer Research
CiteScore
4.30
自引率
12.00%
发文量
36
期刊介绍: The Journal of Gastric Cancer (J Gastric Cancer) is an international peer-reviewed journal. Each issue carries high quality clinical and translational researches on gastric neoplasms. Editorial Board of J Gastric Cancer publishes original articles on pathophysiology, molecular oncology, diagnosis, treatment, and prevention of gastric cancer as well as articles on dietary control and improving the quality of life for gastric cancer patients. J Gastric Cancer includes case reports, review articles, how I do it articles, editorials, and letters to the editor.
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