ArticleWorld journal of gastroenterology2023
Can visceral fat parameters based on computed tomography be used to predict occult peritoneal metastasis in gastric cancer?
Article in World journal of gastroenterology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- Deep Learning Model Based on Tumor and Visceral Adipose Tissue CT Features for Predicting Peritoneal Metastasis Risk after Radical Gastrectomy in Serosa-Invasive Gastric Cancer.Radiology. Imaging cancer · 2026Article
- Application value of multiphase contrast-enhanced computed tomography radiomics in preoperative evaluation of peritoneal metastasis in gastric cancer.World journal of gastrointestinal oncology · 2026Article
- The Role of Perirenal Adipose Tissue in Carcinogenesis-From Molecular Mechanism to Therapeutic Perspectives.Cancers · 2025Review
- Article
- LightGBM is an Effective Predictive Model for Postoperative Complications in Gastric Cancer: A Study Integrating Radiomics with Ensemble Learning.Journal of imaging informatics in medicine · 2024Article
- Body fat ratio as a novel predictor of complications and survival after rectal cancer surgery.Frontiers in nutrition · 2024Article
- Prediction of Occult Peritoneal Metastasis of Gastric Cancer Based on CT-Based Body Fat Analysis.Cancer control : journal of the Moffitt Cancer CenterArticle
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe preoperative prediction of peritoneal metastasis (PM) in gastric cancer would prevent unnecessary surgery and promptly indicate an appropriate treatment plan.
aimTo explore the predictive value of visceral fat (VF) parameters obtained from preoperative computed tomography (CT) images for occult PM and to develop an individualized model for predicting occult PM in patients with gastric carcinoma (GC).
methodsA total of 128 confirmed GC cases (84 male and 44 female patients) that underwent CT scans were analyzed and categorized into PM-positive (
resultsThe mean attenuations of VF
conclusionThe mean attenuation of VF is a potential auxiliary parameter for predicting occult PM in patients with GC.
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