ArticleBiomarker research2023
A model based on adipose and muscle-related indicators evaluated by CT images for predicting microvascular invasion in HCC patients.
Article in Biomarker research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 19 citations in OpenAlex.
- Reduced visceral adipose tissue area linked to early recurrence in HCC patients with HBV: a parallel mediation analysis.Abdominal radiology (New York) · 2026Article
- Reduced visceral adipose tissue area linked to early recurrence in HCC patients with HBV: a parallel mediation analysis.Abdominal radiology (New York) · 2026Article
- Preoperative prediction model of microvascular invasion in intrahepatic cholangiocarcinoma patients based on CT radiomics can assist clinical surgical decision-making: a multicenter study.European radiology · 2026Article
- UsingEuropean journal of nuclear medicine and molecular imaging · 2026Article
- Imbalance between skeletal muscle and intermuscular fat predicts treatment failure in Crohn's disease: an imaging biomarker for risk stratification.Annals of medicine · 2025Article
- A serum TNFR2-based model effectively predicates preoperative microvascular invasion and stratifies the tumor recurrence risk in hepatocellular carcinoma.BMC gastroenterology · 2025Article
- Enhanced prediction of 5-year postoperative recurrence in hepatocellular carcinoma by incorporating LASSO regression and random forest models.Surgical endoscopy · 2025Article
- Computed tomography radiomics combined with clinical parameters for hepatocellular carcinoma differentiation: a machine learning investigation.Polish journal of radiology · 2025Article
- Increment of Skeletal Muscle Mass Predicts Survival Benefit for Hepatocellular Carcinoma Treated with Transarterial Chemoembolization Combining Molecular Targeted Agents and Immune Checkpoint Inhibitors.Journal of hepatocellular carcinoma · 2025Article
- Clonorchis sinensis infection contributes to hepatocellular carcinoma progression via enhancing angiogenesis.PLoS neglected tropical diseases · 2024Article
- Article
- Clinical Nomogram Model for Pre-Operative Prediction of Microvascular Invasion of Hepatocellular Carcinoma before Hepatectomy.Medicina (Kaunas, Lithuania) · 2024Article
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Authors and funding
15 authors at 2 institutions in 1 country.
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Abstract
BACKGROUND AND
aimThe presence of microvascular invasion (MVI) will impair the surgical outcome of hepatocellular carcinoma (HCC). Adipose and muscle tissues have been confirmed to be associated with the prognosis of HCC. We aimed to develop and validate a nomogram based on adipose and muscle related-variables for preoperative prediction of MVI in HCC.
methodsOne hundred fifty-eight HCC patients from institution A (training cohort) and 53 HCC patients from institution B (validation cohort) were included, all of whom underwent preoperative CT scan and curative resection with confirmed pathological diagnoses. Least absolute shrinkage and selection operator (LASSO) logistic regression was applied to data dimensionality reduction and screening. Nomogram was constructed based on the independent variables, and evaluated by external validation, calibration curve, receiver operating characteristic (ROC) curve and decision curve analysis (DCA).
resultsHistopathologically identified MVI was found in 101 of 211 patients (47.9%). The preoperative imaging and clinical variables associated with MVI were visceral adipose tissue (VAT) density, intramuscular adipose tissue index (IMATI), skeletal muscle (SM) area, age, tumor size and cirrhosis. Incorporating these 6 factors, the nomogram achieved good concordance index of 0.79 (95%CI: 0.72-0.86) and 0.75 (95%CI: 0.62-0.89) in training and validation cohorts, respectively. In addition, calibration curve exhibited good consistency between predicted and actual MVI probabilities. ROC curve and DCA of the nomogram showed superior performance than that of models only depended on clinical or imaging variables. Based on the nomogram score, patients were divided into high (> 273.8) and low (< = 273.8) risk of MVI presence groups. For patients with high MVI risk, wide-margin resection or anatomical resection could significantly improve the 2-year recurrence free survival.
conclusionBy combining 6 preoperative independently predictive factors of MVI, a nomogram was constructed. This model provides an optimal preoperative estimation of MVI risk in HCC patients, and may help to stratify high-risk individuals and optimize clinical decision making.
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