Evidence map›Paper›PMID 40736417›Full record

ReviewJournal of cellular and molecular medicine2025

Current Advances in Classification, Prediction and Management of Microvascular Invasion in Hepatocellular Carcinoma.

Zhenli Li, Lindi Xu, Shuaishuai Zhu, Xingshun Qi, Wei Zhang, Yufu Tang

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. An exploratory nomogram model withJournal of gastrointestinal oncology · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zhenli LiDepartment of Hepatobiliary Surgery, General Hospital of Northern Theater Command, Shenyang, China.ORCID 0000-0002-3997-2187
Lindi XuDepartment of Hepatobiliary Surgery, General Hospital of Northern Theater Command, Shenyang, China.
Shuaishuai ZhuDepartment of Hepatobiliary Surgery, General Hospital of Northern Theater Command, Shenyang, China.
Xingshun QiDepartment of Gastroenterology, General Hospital of Northern Theater Command, Shenyang, China.
Wei ZhangDepartment of Hepatobiliary Surgery, General Hospital of Northern Theater Command, Shenyang, China.
Yufu TangDepartment of Hepatobiliary Surgery, General Hospital of Northern Theater Command, Shenyang, China.ORCID 0000-0002-4099-1932

Funding

Natural Science Foundation of Liaoning Province 2021JH2/10300117Postdoctoral Science Foundation of China 2018T111168Science and Technology Plan Joint Program of Liaoning Province 2024JH2/102600286
6 · The paper itself

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.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsMicrovesselsDisease ManagementHumansNeoplasm InvasivenessNeoplasm Recurrence, LocalPrognosisRisk Factorsclassificationhepatocellular carcinomamicrovascular invasionpredictionrecurrence

Identifiers

PMID40736417
PMCPMC12309289

What OpenQuestion holds

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Registered trials

None linked

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.