ArticleAnnals of translational medicine2021
Development and validation of a nomogram combining hematological and imaging features for preoperative prediction of microvascular invasion in hepatocellular carcinoma patients.
Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
- A Validated, explainable machine learning-based preoperative risk model for microvascular invasion in hepatocellular carcinoma.Langenbeck's archives of surgery · 2026Article
- A 7-cm inflection point: nonlinear association between maximum tumor diameter and capsular invasion risk after primary liver cancer resection.BMC gastroenterology · 2026Article
- An easily machine learning-based tool for preliminary risk assessment of microvascular invasion in hepatocellular carcinoma.Surgical endoscopy · 2025Article
- Chinese expert consensus on the diagnosis and treatment of hepatocellular carcinoma with microvascular invasion (2024 edition).Hepatobiliary surgery and nutrition · 2025Review
- Prediction of microvascular invasion in hepatocellular carcinoma patients with MRI radiomics based on susceptibility weighted imaging and T2-weighted imaging.La Radiologia medica · 2024Article
- Development and validation of a digital biopsy model to predict microvascular invasion in hepatocellular carcinoma.Frontiers in oncology · 2024Article
- Derivation and validation of machine learning models for preoperative estimation of microvascular invasion risk in hepatocellular carcinoma.Annals of translational medicine · 2023Article
- Contrast-enhanced CT findings-based model to predict MVI in patients with hepatocellular carcinoma.BMC gastroenterology · 2022Article
- Perioperative factors related to the prognosis of elderly patients with hepatocellular carcinoma.European journal of medical research · 2022Article
- Effect of perioperative factors on the prognosis of patients with hepatocellular carcinoma who underwent hepatectomy.Turkish journal of medical sciences · 2022Article
- Construction and validation of a biochemical signature to predict the prognosis and the benefit of induction chemotherapy in patients with nasopharyngeal carcinoma.American journal of cancer research · 2022Article
- A Non-Invasive Nomogram for Preoperative Prediction of Microvascular Invasion Risk in Hepatocellular Carcinoma.Frontiers in oncology · 2021Article
- Development of a Better Nomogram for Prediction of Preoperative Microvascular Invasion and Postoperative Prognosis in Hepatocellular Carcinoma Patients: A Comparison Study.Journal of computer assisted tomographyArticle
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Abstract
backgroundMicrovascular invasion (MVI) is a significant hazard factor that influences the recurrence and survival of hepatocellular carcinoma (HCC) patients after undergoing hepatectomy. This study aimed to develop and validate a nomogram that combines hematological and imaging features of HCC patients to preoperatively predict MVI, and investigate the effect of wide resection margin (≥1 cm) on the prognosis of MVI-positive HCC patients.
methodsA total of 709 HCC patients who underwent hepatectomy at the Liver Cancer Institute of Zhongshan Hospital, Fudan University between June 1, 2015 and December 30, 2016 were included in this study and divided into training (496 patients) and validation cohort (213 patients). Least absolute shrinkage and selection operator (Lasso) regression and multivariable logistic regression were used for variables' selection and development of the predictive model. The model was presented as a nomogram, and its performance was assessed in terms of discrimination, calibration and clinical usefulness.
resultsIndependent prognostic factors such as alkaline phosphatase (ALP, >125 U/L), alpha-fetoprotein (AFP, within 20-400 or >400 ng/mL), protein induced by vitamin K absence-II (PVIKA-II, within 40-400 or >400 mAU/mL), tumor number, diameter, pseudo-capsule, tumor growth pattern and intratumor hemorrhage were incorporated in the nomogram. The model showed good discrimination and calibration, with a concordance index (0.82, 95% CI, 0.782-0.857) in the training cohort and C-index (0.80, 95% CI, 0.772-0.837) in the validation cohort. Decision curve analysis (DCA) also showed that this model is clinically useful. Moreover, HCC patients with wide resection margin had a significantly lower 3-year recurrence rate than those with narrower resection margin (0.5-1 cm).
conclusionsThis study presents an optimal model for preoperative prediction of MVI and shows that wide resection margin for MVI-positive HCC patients has a better prognosis. This model can help surgeons choose the best treatment options for HCC patients before and after the operation.
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