A Risk Prediction Model Based on Lymph-Node Metastasis in Poorly Differentiated–Type Intramucosal Gastric Cancer

Jeung Hui Pyo, Hyuk Lee, Byung-Hoon Min, Jun Haeng Lee, Min Gew Choi, Jun Ho Lee, Tae Sung Sohn, Jae Moon Bae, Kyoung-Mee Kim, Hyeon Seon Ahn, Sin-Ho Jung, Sung Kim and Jae J Kim

PLOS ONE, 2016, vol. 11, issue 5, 1-11

Abstract: Background and Aim: Endoscopic submucosal dissection (ESD) for undifferentiated type early gastric cancer is regarded as an investigational treatment. Few studies have tried to identify the risk factors that predict lymph-node metastasis (LNM) in intramucosal poorly differentiated adenocarcinomas (PDC). This study was designed to develop a risk scoring system (RSS) for predicting LNM in intramucosal PDC. Methods: From January 2002 to July 2015, patients diagnosed with mucosa-confined PDC, among those who underwent curative gastrectomy with lymph node dissection were reviewed. A risk model based on independent predicting factors of LNM was developed, and its performance was internally validated using a split sample approach. Results: Overall, LNM was observed in 5.2% (61) of 1169 patients. Four risk factors [Female sex, tumor size ≥ 3.2 cm, muscularis mucosa (M3) invasion, and lymphatic-vascular involvement] were significantly associated with LNM, which were incorporated into the RSS. The area under the receiver operating characteristic curve for predicting LNM after internal validation was 0.69 [95% confidence interval (CI), 0.59–0.79]. A total score of 2 points corresponded to the optimal RSS threshold with a discrimination of 0.75 (95% CI 0.69–0.81). The LNM rates were 1.6% for low risk (

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0156207

DOI: 10.1371/journal.pone.0156207

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