Evidence map›Paper›PMID 39948223›Full record

ArticleAbdominal radiology (New York)2025

Value of Post-NAC CT-based Node-RADS score for Predicting residual lymph node metastasis and survival outcome of locally advanced gastric cancer.

Yan Sun, Hua Xiao, Lu Wen, Wang Xiang, Xiangtong Luo, Xiaohuang Yang, Lian Chen, Yanhui Yang, Yi Zhang, Sanqiang Yu and 1 more

Abstract read
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Article in Abdominal radiology (New York), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Yan SunGraduate Collaborative Training Base of Hunan Cancer Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Hua XiaoDepartment of Hepatobiliary and Intestinal Surgery, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Changsha, China.
Lu WenDepartment of Diagnostic Radiology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Changsha, China.
Wang XiangDepartment of Diagnostic Radiology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Changsha, China.
Xiangtong LuoDepartment of Radiotherapy Technology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Changsha, China.
Xiaohuang YangDepartment of Diagnostic Radiology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Changsha, China.
Lian ChenDepartment of Diagnostic Radiology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Changsha, China.
Yanhui YangGraduate Collaborative Training Base of Hunan Cancer Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Yi ZhangGraduate Collaborative Training Base of Hunan Cancer Hospital, Hengyang Medical School, University of South China, Hengyang, China.
Sanqiang YuNorman Bethune Health Science Center of Jilin University, changchun, China.
Xiaoping YuGraduate Collaborative Training Base of Hunan Cancer Hospital, Hengyang Medical School, University of South China, Hengyang, China. yuxiaoping@hnca.org.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe Node Reporting and Data System (Node-RADS) provides structured and effective evaluation for lymph nodes in malignancies. This study aims to investigate its value in predicting residual lymph node metastasis (LNM) and survival outcome of locally advanced gastric cancer (LAGC). MATERIALS AND

methodsThis retrospective study included 118 patients with LAGC underwent neoadjuvant chemotherapy (NAC) and gastrectomy from April 2015 to June 2020. The diagnostic performance of the post-NAC CT-based Node-RADS score for regional LNM, both at the patient level and at the perigastric/extragastric subgroup level, was estimated using area under receiver operating characteristic curve (AUC) and Youden's index. Kaplan-Meier curve was employed for prognostic analyses between high/low Node-RADS score group. A predictive Node-RADS (NR) model for LNM was developed using logistic regression analyses and a prognostic NR model for overall survival (OS) was developed using Cox regression analyses.

resultsIn the prediction of LNM, the Node-RADS score exhibited an AUC of 0.843 (95%CI: 0.765-0.921) at patient level, 0.838 (95%CI: 0.757-0.918) in perigastric subgroup and 0.813 (95%CI: 0.724-0.901) in extragastric subgroup, surpassing LN short-axis criteria (AUC:0.664 [95%CI: 0.584-0.743], p < 0.001). The AUC of the NR predictive model for LNM increased to 0.870 (95%CI: 0.795-0.945), with 88.7% sensitivity and 78.9% specificity. The Node-RADS score was significantly correlated with post-NAC pathological status, and served as an independent indicator for OS (all p < 0.05).The NR prognostic model exhibited a Harrell's consistency index (C-index) of 0.724 (95%CI: 0.663-0.785), with no significant difference from the pathological prognostic model (0.739 [95%CI: 0.677-0.801], p = 0.695).

conclusionThe post-NAC Node-RADS score provides accurate prediction of regional LNM and shows promising prognostic value for LAGC patients. Post-NAC Node-RADS related predictive models show potential in early identification of high-risk LAGC patients with residual lymph nodes or poor prognosis after NAC.

Indexed as

Lymphatic MetastasisStomach NeoplasmsTomography, X-Ray ComputedAdultAgedChemotherapy, AdjuvantFemaleGastrectomyHumansLymph NodesMaleMiddle AgedNeoadjuvant TherapyNeoplasm StagingPredictive Value of TestsPrognosisCTGastric cancerLymph nodeNode-RADSPrognosis

Identifiers

PMID39948223

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.