Evidence map›Paper›PMID 40072538›Full record

ArticleAbdominal radiology (New York)2025

Development and validation of a nomogram model based on vascular entry sign for predicting lymphovascular invasion in gastric cancer.

Jing Zhang, Peng-Hui Shen, Jun-Bo Wu, Qin Feng, Xiao-Ling Zhang, Rui-Na Jin, Yin-Hao Yang, Mei-Xi Zhou, Wen-Yu Tan, Jian Hou and 4 more

Abstract readValidation Study
PubMed Publisher
In one paragraph

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 1 paper.

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

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Jing ZhangChangzhi People's Hospital Affiliated to Changzhi Medical College, Changzhi, China.
Peng-Hui ShenChangzhi People's Hospital Affiliated to Changzhi Medical College, Changzhi, China.
Jun-Bo WuChangzhi People's Hospital Affiliated to Changzhi Medical College, Changzhi, China.
Qin FengChangzhi People's Hospital Affiliated to Changzhi Medical College, Changzhi, China.
Xiao-Ling ZhangChangzhi People's Hospital Affiliated to Changzhi Medical College, Changzhi, China.
Rui-Na JinChangzhi People's Hospital Affiliated to Changzhi Medical College, Changzhi, China.
Yin-Hao YangChangzhi People's Hospital Affiliated to Changzhi Medical College, Changzhi, China.
Mei-Xi ZhouThe Third Clinical School of Changzhi Medical College, Changzhi, China.
Wen-Yu TanThe Third Clinical School of Changzhi Medical College, Changzhi, China.
Jian HouThe Third Clinical School of Changzhi Medical College, Changzhi, China.
Qin-Meng YiThe Third Clinical School of Changzhi Medical College, Changzhi, China.
Tian-Mei HouThe Third Clinical School of Changzhi Medical College, Changzhi, China.
Yong-Ai LiChangzhi People's Hospital Affiliated to Changzhi Medical College, Changzhi, China. pingyaoaiai@163.com.
Wen-Qing HuChangzhi People's Hospital Affiliated to Changzhi Medical College, Changzhi, China. beibeihejiyy@163.com.

Funding

Natural Science Foundation of Shanxi Province 202303021212367
6 · The paper itself

Abstract

backgroundTo evaluate the predictive value of a nomogram based on the vascular entry sign for lymphovascular invasion in gastric cancer.

methodsA total of 135 patients with histopathologically confirmed gastric cancer from August 2021 to November 2022 were enrolled. All patients underwent contrast-enhanced CT scans. Utilizing a random number method, patients were randomly assigned to either a training dataset (n = 96) or a validation dataset (n = 39) in a 7:3 ratio. CT images and clinical characteristics of the patients were collected. Both univariate and multivariate analyses were conducted to identify independent factors influencing lymphovascular invasion in gastric cancer. A nomogram model was developed, and its diagnostic performance and clinical utility were assessed using receiver operating characterist (ROC) curves, calibration curves, and decision curve analysis (DCA).

resultsThe multivariate analysis revealed that the vascular entry sign, clinical T stage, and clinical N stage independently influenced the occurrence of factors for lymphovascular invasion in gastric cancer (P < 0.05). A predictive nomogram model was developed for determining LVI status in gastric cancer. The AUC of the nomogram model in the training dataset and validation dataset were 0.878 (95% CI: 0.808-0.948) and 0.866 (95% CI: 0.723-1.000), respectively. The calibration curve and decision curve showed that the model had good reliability and good clinical validity.

conclusionThe model established based on the factors of vascular entry sign, clinical T stage, and clinical N stage can effectively predict lymphovascular invasion in gastric cancer.

Indexed as

Lymphatic MetastasisNomogramsStomach NeoplasmsTomography, X-Ray ComputedAdultAgedAged, 80 and overContrast MediaFemaleHumansMaleMiddle AgedNeoplasm InvasivenessNeoplasm StagingPredictive Value of TestsRetrospective StudiesContrast MediaLymphovascular invasionNomogramPredictive modelStomach neoplasmVascular entry sign

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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.