ArticleHepatology international2021
A novel radiomics-platelet nomogram for the prediction of gastroesophageal varices needing treatment in cirrhotic patients.
Article in Hepatology international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 10 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Development and Validation of an Noninvasive Model for Predicting High Risk Esophageal Varices in Cirrhosis
A Clinical Study on the Diagnostic Value of Digital Tongue Diagnosis Model for High- and Low-risk Esophagogastroduodenal Varices in Patients With Liver Cirrhosis
Who cites it
10 citing papers in PubMed, 14 citations in OpenAlex.
- A novel dual elastography-based model for screening high-risk varices in hepatitis B virus-related cirrhosis.Frontiers in medicine · 2026Trial
- Advances in Precise Assessment of Portal Pressure in Porto-sinusoidal Vascular Disease.Journal of clinical and translational hepatology · 2026Review
- Development of a clinical-CT-radiomics nomogram for predicting endoscopic red color sign in cirrhotic patients with esophageal varices.Abdominal radiology (New York) · 2026Article
- Development and validation of a radiomics-based prediction model for variceal bleeding in patients with Budd-Chiari syndrome-related gastroesophageal varices.World journal of gastroenterology · 2025Article
- Future of Endoscopy in Surveillance of Esophageal Varices.Current gastroenterology reports · 2025Review
- Development of a non-invasive diagnostic model for high-risk esophageal varices based on radiomics of spleen CT.Abdominal radiology (New York) · 2024Article
- Computed tomography-based multi-organ radiomics nomogram model for predicting the risk of esophagogastric variceal bleeding in cirrhosis.World journal of gastroenterology · 2024Article
- An imaging-based machine learning model outperforms clinical risk scores for prognosis of cirrhotic variceal bleeding.European radiology · 2023Article
- Clinical-radiomics nomogram for predicting esophagogastric variceal bleeding risk noninvasively in patients with cirrhosis.World journal of gastroenterology · 2023Article
- Conventional and artificial intelligence-based imaging for biomarker discovery in chronic liver disease.Hepatology international · 2022Review
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimsHighly accurate noninvasive methods for predicting gastroesophageal varices needing treatment (VNT) are desired. Radiomics is a newly emerging technology of image analysis. This study aims to develop and validate a novel noninvasive method based on radiomics for predicting VNT in cirrhosis.
methodsIn this retrospective-prospective study, a total of 245 cirrhotic patients were divided as the training set, internal validation set and external validation set. Radiomics features were extracted from portal-phase computed tomography (CT) images of each patient. A radiomics signature (Rad score) was constructed with the least absolute shrinkage and selection operator algorithm and tenfold cross-validation in the training set. Combined with independent risk factors, a radiomics nomogram was built with a multivariate logistic regression model.
resultsThe Rad score, consisting of 14 features from the gastroesophageal region and 5 from the splenic hilum region, was effective for VNT classification. The diagnostic performance was further improved by combining the Rad score with platelet counts, achieving an AUC of 0.987 (95% CI 0.969-1.00), 0.973 (95% CI 0.939-1.00) and 0.947 (95% CI 0.876-1.00) in the training set, internal validation set and external validation set, respectively. In efficacy and safety assessment, the radiomics nomogram could spare more than 40% of endoscopic examinations with a low risk of missing VNT (< 5%), and no more than 8.3% of unnecessary endoscopic examinations still be performed.
conclusionsIn this study, we developed and validated a novel, diagnostic radiomics-based nomogram which is a reliable and noninvasive method to predict VNT in cirrhotic patients. CLINICAL TRIALS REGISTRATION: NCT04210297.
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