ArticleFrontiers in oncology2022
Diagnosis of Serosal Invasion in Gastric Adenocarcinoma by Dual-Energy CT Radiomics: Focusing on Localized Gastric Wall and Peritumoral Radiomics Features.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 14 citations in OpenAlex.
- Research progress on the application of dual energy CT in gastric diseases.Frontiers in medicine · 2026Review
- Preoperative prediction of serosal invasion in gastric cancer using multiphase contrast-enhanced CT radiomics.Frontiers in oncology · 2026Article
- Article
- The value of deep learning and radiomics models in predicting preoperative serosal invasion in gastric cancer: a dual-center study.Abdominal radiology (New York) · 2025Article
- Spectral CT radiomics features of the tumor and perigastric adipose tissue can predict lymph node metastasis in gastric cancer.Abdominal radiology (New York) · 2025Article
- Preoperative prediction of tumor budding and lymphovascular invasion in colon cancer using dual-energy CT: a prospective study with internal model validation.Abdominal radiology (New York) · 2025Article
- Dual-energy CT for predicting serosal invasion in gastric cancer and subtype analysis.Abdominal radiology (New York) · 2025Article
- Intra- and Peritumoral CT-Based Radiomics for Assessing Pathologic T-Staging in Clear Cell Renal Cell Carcinoma: A Multicenter Study.Annals of surgical oncology · 2025Article
- A quantitative model using multi-parameters in dual-energy CT to preoperatively predict serosal invasion in locally advanced gastric cancer.Insights into imaging · 2024Article
- Synergizing traditional CT imaging with radiomics: a novel model for preoperative diagnosis of gastric neuroendocrine and mixed adenoneuroendocrine carcinoma.Frontiers in oncology · 2024Article
- A nomogram based on CT intratumoral and peritumoral radiomics features preoperatively predicts poorly differentiated invasive pulmonary adenocarcinoma manifesting as subsolid or solid lesions: a double-center study.Frontiers in oncology · 2024Article
- Preoperative prediction of Lauren classification in gastric cancer: a radiomics model based on dual-energy CT iodine map.Insights into imaging · 2023Article
- Development of a dual energy CT based model to assess response to treatment in patients with high grade serous ovarian cancer: a pilot cohort study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2023Article
- The value of machine learning based radiomics model in preoperative detection of perineural invasion in gastric cancer: a two-center study.Frontiers in oncology · 2023Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: To build a radiomics model and combined model based on dual-energy CT (DECT) for diagnosing serosal invasion in gastric adenocarcinoma. Materials and methods: 231 gastric adenocarcinoma patients were enrolled and randomly divided into a training ( Results: Both the radiomics model and combined model showed high efficacy in diagnosing serosal invasion in the training, testing and independent validation cohort, with AUC of 0.90, 0.90, and 0.85 for radiomics model; 0.93, 0.93, and 0.89 for combined model. The combined model outperformed the clinical model (AUC: 0.76, 0.76 and 0.81). Conclusion: The radiomics model and combined model constructed based on tumoral and peritumoral radiomics features derived from DECT showed high diagnostic efficacy for serosal invasion in gastric adenocarcinoma.
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