Evidence map›Paper›PMID 39022260›Full record

ReviewQuantitative imaging in medicine and surgery2024

Preoperative prediction of microvascular invasion: new insights into personalized therapy for early-stage hepatocellular carcinoma.

Fang Wang, Hua-Zhi Liao, Xiao-Long Chen, Hao Lei, Guang-Hua Luo, Guo-Dong Chen, Heng Zhao

Abstract readReview
In one paragraph

Review in Quantitative imaging in medicine and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

7 authors.

Fang WangDepartment of Radiology, The First Affiliated Hospital of University of South China, Hengyang Medical School, University of South China, Hengyang, China.
Hua-Zhi LiaoDepartment of Radiology, The First Affiliated Hospital of University of South China, Hengyang Medical School, University of South China, Hengyang, China.
Xiao-Long ChenDepartment of Radiology, The First Affiliated Hospital of University of South China, Hengyang Medical School, University of South China, Hengyang, China.
Hao LeiDepartment of Radiology, The First Affiliated Hospital of University of South China, Hengyang Medical School, University of South China, Hengyang, China.
Guang-Hua LuoDepartment of Radiology, The First Affiliated Hospital of University of South China, Hengyang Medical School, University of South China, Hengyang, China.
Guo-Dong ChenDepartment of Hepatobiliary Pancreatic Surgery, The First Affiliated Hospital of University of South China, Hengyang Medical School, University of South China, Hengyang, China.
Heng ZhaoDepartment of Radiology, The First Affiliated Hospital of University of South China, Hengyang Medical School, University of South China, Hengyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Owing to advances in diagnosis and treatment methods over past decades, a growing number of early-stage hepatocellular carcinoma (HCC) diagnoses has enabled a greater of proportion of patients to receive curative treatment. However, a high risk of early recurrence and poor prognosis remain major challenges in HCC therapy. Microvascular invasion (MVI) has been demonstrated to be an essential independent predictor of early recurrence after curative therapy. Currently, biopsy is not generally recommended before treatment to evaluate MVI in HCC according clinical guidelines due to sampling error and the high risk of tumor cell seeding following biopsy. Therefore, the postoperative histopathological examination is recognized as the gold standard of MVI diagnosis, but this lagging indicator greatly impedes clinicians in selecting the optimal effective treatment for prognosis. As imaging can now noninvasively and completely assess the whole tumor and host situation, it is playing an increasingly important role in the preoperative assessment of MVI. Therefore, imaging criteria for MVI diagnosis would be highly desirable for optimizing individualized therapeutic decision-making and achieving a better prognosis. In this review, we summarize the emerging image characteristics of different imaging modalities for predicting MVI. We also discuss whether advances in imaging technique have generated evidence that could be practice-changing and whether advanced imaging techniques will revolutionize therapeutic decision-making of early-stage HCC.

Indexed as

clinical decision-makingearly-stage hepatocellular carcinoma (early-stage HCC)imagingMicrovascular invasion (MVI)preoperative diagnosis

Identifiers

PMID39022260
PMCPMC11250313

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Registered trials

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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.