ArticleCancer management and research2019
Nomogram For Preoperative Prediction Of Microvascular Invasion Risk In Hepatocellular Carcinoma.
Article in Cancer management and research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- The predictive value of abdominal fat area and volume for early recurrence of after resection hepatocellular carcinoma.BMC gastroenterology · 2026Article
- Combined hematology, tumor morphology, and magnetic resonance imaging for predicting microvascular invasion in hepatocellular carcinoma: a clinical study.Quantitative imaging in medicine and surgery · 2026Article
- Elevated platelet distribution width and diabetes may serve as preoperative predictors of microvascular invasion in primary hepatocellular carcinoma.Journal of cancer research and clinical oncology · 2025Article
- Prognostic utility of the global leadership initiative on malnutrition criteria in predicting outcomes after hepatectomy for hepatocellular carcinoma: a multicenter, retrospective study.Frontiers in nutrition · 2025Article
- Preoperative evaluation of MRI features and inflammatory biomarkers in predicting microvascular invasion of combined hepatocellular cholangiocarcinoma.Abdominal radiology (New York) · 2024Article
- [Research progress of microvascular invasion in hepatocellular carcinoma].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2022Review
- Novel Nomogram Based on Inflammatory Markers for the Preoperative Prediction of Microvascular Invasion in Solitary Primary Hepatocellular Carcinoma.Cancer management and research · 2022Article
- Using Systemic Inflammatory Markers to Predict Microvascular Invasion Before Surgery in Patients With Hepatocellular Carcinoma.Frontiers in surgery · 2022Article
- A Promising Preoperative Prediction Model for Microvascular Invasion in Hepatocellular Carcinoma Based on an Extreme Gradient Boosting Algorithm.Frontiers in oncology · 2022Article
- New insights into a microvascular invasion prediction model in hepatocellular carcinoma: A retrospective study from the SEER database and China.Frontiers in surgery · 2022Article
- Article
- The impact of liver fibrosis on microvascular invasion and prognosis of hepatocellular carcinoma with a solitary nodule: a Surveillance, Epidemiology, and End Results (SEER) database analysis.Annals of translational medicine · 2021Article
- Preoperative nomogram for microvascular invasion prediction based on clinical database in hepatocellular carcinoma.Scientific reports · 2021Article
- An excellent nomogram predicts microvascular invasion that cannot independently stratify outcomes of small hepatocellular carcinoma.Annals of translational medicine · 2021Article
- Indication of Liver Transplantation for Hepatocellular Carcinoma Should Be Reconsidered in Case of Microvascular Invasion and Multilocular Tumor Occurrence.Journal of clinical medicine · 2021Article
- Effect of Microvascular Invasion on the Prognosis in Hepatocellular Carcinoma and Analysis of Related Risk Factors: A Two-Center Study.Frontiers in surgery · 2021Article
- Preoperative Prediction of Microvascular Invasion in Patients With Hepatocellular Carcinoma Based on Radiomics Nomogram Using Contrast-Enhanced Ultrasound.Frontiers in oncology · 2021Article
- Article
- Development and validation of a prediction model for microvascular invasion in hepatocellular carcinoma.World journal of gastroenterology · 2020Article
- Prognostic Implications of Metabolism Related Gene Signature in Cutaneous Melanoma.Frontiers in oncology · 2020Article
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5 authors.
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Abstract
objectiveTo preoperatively predict the microvascular invasion (MVI) risk in hepatocellular carcinoma (HCC) using nomogram.
methodsA retrospective cohort of 513 patients with HCC hospitalized at Xiangya Hospital between January 2014 and December 2018 was included in the study. Univariate and multivariate analysis was performed to identify the independent risk factors for MVI. Based on the independent risk factors, nomogram was established to preoperatively predict the MVI risk in HCC. The accuracy of nomogram was evaluated by using receiver operating characteristic (ROC) curve, calibration curve and decision curve analysis (DCA).
resultsTumor size (OR=1.17, 95% CI: 1.11-1.23, p<0.001), preoperative AFP level greater than 155 ng/mL (OR=1.65, 95% CI: 1.13-2.39, p=0.008) and NLR (OR=1.14, 95% CI: 1.00-1.29, p=0.042) were the independent risk factors for MVI. Incorporating these 3 factors, nomogram was established with the concordance index of 0.71 (95% CI, 0.66-0.75) and well-fitted calibration curves. DCA confirmed that using this nomogram added more benefit compared with the measures that treat all patients or treat none patients. At the cutoff value of predicted probability ≥0.44, the model demonstrated sensitivity of 61.64%, specificity of 71.53%, positive predictive value (PPV) of 64.13%, and negative predictive value (NPV) of 69.31%.
conclusionNomogram was established for preoperative prediction of the MVI risk in HCC patients, and better therapeutic choice will be made if it was applied in clinical practice.
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