Evidence map›Paper›PMID 40195138›Full record

ArticleAbdominal radiology (New York)2025

Radiomics-based assessment of HER2 status and prognosis in gastric cancer: a retrospective dual-center CT study.

Manman Li, Shu Jiang, Siyu Zhou, Wang Chen, Yong Xiao, Yigang Fu, Feng Feng, Guodong Xu

Abstract readMulticenter 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. Not yet cited 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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Manman Li *The Yancheng Clinical College of Xuzhou Medical University, The First people's Hospital of Yancheng, Yancheng, China.
Shu Jiang *The Yancheng Clinical College of Xuzhou Medical University, The First people's Hospital of Yancheng, Yancheng, China.
Siyu ZhouAffiliated Tumor Hospital of Nantong University, Nantong, China.
Wang ChenThe Yancheng Clinical College of Xuzhou Medical University, The First people's Hospital of Yancheng, Yancheng, China.
Yong XiaoThe Yancheng Clinical College of Xuzhou Medical University, The First people's Hospital of Yancheng, Yancheng, China.
Yigang FuThe Yancheng Clinical College of Xuzhou Medical University, The First people's Hospital of Yancheng, Yancheng, China.
Feng Feng *Affiliated Tumor Hospital of Nantong University, Nantong, China. fengfeng@ntu.edu.cn.
Guodong Xu *The Yancheng Clinical College of Xuzhou Medical University, The First people's Hospital of Yancheng, Yancheng, China. xgd20133@163.com.

Funding

Jiangsu Provincial Health Commission ZQ2024013the Key Research and Development Program (Social Development) of the Yancheng Science and Technology Bureau YCBE202212the Key Research and Development Program (Social Development) of the Yancheng Science and Technology Bureau YCBE202416the Key Research and Development Program (Social Development) of the Yancheng Science and Technology Bureau YCBE202453Yancheng Health Commission YK2023056Yancheng Health Commission YK2023058
6 · The paper itself

Abstract

purposeThis research investigated the potential of CT-based radiomics analysis for predicting human epidermal growth factor receptor 2 (HER2) status and assessing the prognosis of patients with gastric cancer (GC).

methods431 patients with GC from two medical centers were included in this retrospective study, with patients allocated to a training cohort (n = 221), a testing cohort (n = 94), and an external validation cohort (n = 116). Radiomics features and clinical variables associated with HER2 status were identified, and the radiomics score was subsequently derived. A radiomics model was constructed using the radiomics score, and a nomogram was developed by integrating related variables. The predictive accuracy of models was assessed via receiver operating characteristic curves, with the area under the curve (AUC) being computed. Prognostic significance was assessed by exploring the association between nomogram-predicted HER2 status and overall survival (OS).

resultsThe radiomics model yielded AUCs of 0.801, 0.793, and 0.784 for the training, testing, and external validation cohorts, respectively. A nomogram that integrated sex, CA72-4 levels, and radiomics score exhibited enhanced predictive accuracy, achieving AUCs of 0.847, 0.836, and 0.828 across the cohorts. Decision curve analysis highlighted the clinical utility of the nomogram, illustrating its ability to deliver a higher net benefit. In addition, survival analysis indicated that individuals with nomogram-predicted HER2 positivity experienced significantly shorter OS, providing robust risk stratification and prognostic insights.

conclusionThe CT-based radiomics nomogram demonstrated the ability to non-invasively predict preoperative HER2 status and stratify prognostic risk in this GC cohort.

Indexed as

Erb-b2 Receptor Tyrosine KinasesStomach NeoplasmsTomography, X-Ray ComputedAdultAgedFemaleHumansMaleMiddle AgedNomogramsPrognosisRadiomicsRetrospective StudiesERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesComputed tomographyGastric cancerHuman epidermal growth factor receptor 2Radiomics

Identifiers

PMID40195138

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