ReviewJournal of cellular and molecular medicine2025
Current Advances in Classification, Prediction and Management of Microvascular Invasion in Hepatocellular Carcinoma.
Review in Journal of cellular and molecular medicine, 2025. 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Development and validation of a Random Forest prediction model integrating clinical and ultrasound radiomics features for microvascular invasion in hepatocellular carcinoma patients: a retrospective study.Translational cancer research · 2026Article
- An exploratory nomogram model withJournal of gastrointestinal oncology · 2026Article
- Artificial Intelligence in the Diagnosis and Prognostic Stratification of Hepatocellular Carcinoma: Current Evidence, Clinical Applications, and Future Perspectives.Biomedicines · 2026Review
- An Inflammation-Associated Prognostic Model for Hepatocellular Carcinoma Following Radical Resection.Journal of hepatocellular carcinoma · 2026Article
- Enhanced preoperative prediction for microvascular invasion in hepatocellular carcinoma through an optimized MR Radiomics combination strategy and machine learning predictor.Frontiers in medicine · 2026Article
- Chondroitin sulfate proteoglycan 4 (CSPG4) overexpression as an oncogenic driver and prognostic marker for unfavorable outcomes in hepatocellular carcinoma.World journal of surgical oncology · 2025Article
- Current Advances in Classification, Prediction and Management of Microvascular Invasion in Hepatocellular Carcinoma.Journal of cellular and molecular medicine · 2025Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Liver resection remains the mainstay curative treatment for hepatocellular carcinoma (HCC); however, the recurrence rate is reported to exceed 70% within 5 years after surgery. Microvascular invasion (MVI) has attracted great research interest in the last decade and has been confirmed to be an independent risk factor for postoperative recurrence and survival. Presently, the diagnosis of MVI depends on pathological specimens, which are not helpful in guiding preoperative planning and intraoperative decision-making. However, preoperative MVI prediction has developed rapidly with the widespread application of predictive models. Besides the well-defined clinical predictive factors, radiomics and artificial intelligence (AI)-based models can provide accurate predictions of MVI. In terms of the specific management of MVI, multiple pre- and intraoperative therapeutic choices have shown favourable effects in patients at high risk of MVI indicated by predictive models. Several postoperative adjuvant therapies were also demonstrated to be associated with improved surgical outcomes in patients diagnosed with MVI. Considering that the present perspectives concerning MVI-related management are still controversial, based on the latest research, the present paper provides updated insights into the 1) diagnosis and classification of MVI, 2) the predictive factors and models of MVI and 3) effective therapeutic choices of MVI in pre-, intra- and postoperative processes. The remaining challenges in the management of MVI are highlighted to stimulate further explorations of the precise and individualised management of MVI.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.