Evidence map›Paper›PMID 38751555›Full record

ArticleLiver cancer2024

Preoperative Prediction of Microvascular Invasion with Gadoxetic Acid-Enhanced Magnetic Resonance Imaging in Patients with Single Hepatocellular Carcinoma: The Implication of Surgical Decision on the Extent of Liver Resection.

Na Reum Kim, Heejin Bae, Hyeo Seong Hwang, Dai Hoon Han, Kyung Sik Kim, Jin Sub Choi, Mi-Suk Park, Gi Hong Choi

Abstract read
In one paragraph

Article in Liver cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Preoperative MRI Intratumoral Heterogeneity Radiomics for Microvascular Invasion and Recurrence-Free Survival in HCC.Liver international : official journal of the International Association for the Study of the Liver · 2026
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  14. Diagnostic model using LI-RADS v2018 for predicting early recurrence of microvascular invasion-negative solitary hepatocellular carcinoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
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  16. MRI-Based Topology Deep Learning Model for Noninvasive Prediction of Microvascular Invasion and Assisting Prognostic Stratification in HCC.Liver international : official journal of the International Association for the Study of the Liver · 2025
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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

8 authors.

Na Reum KimDivision of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Severance Hospital, Seoul, Republic of Korea.
Heejin BaeDepartment of Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea.
Hyeo Seong HwangDepartment of Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea.
Dai Hoon HanDivision of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Severance Hospital, Seoul, Republic of Korea.
Kyung Sik KimDivision of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Severance Hospital, Seoul, Republic of Korea.
Jin Sub ChoiDivision of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Severance Hospital, Seoul, Republic of Korea.
Mi-Suk ParkDepartment of Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea.
Gi Hong ChoiDivision of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Severance Hospital, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Microvascular invasion (MVI) is one of the most important prognostic factors for hepatocellular carcinoma (HCC) recurrence, but its application in preoperative clinical decisions is limited. This study aimed to identify preoperative predictive factors for MVI in HCC and further evaluate oncologic outcomes of different types and extents of hepatectomy according to stratified risk of MVI. Methods: Patients with surgically resected single HCC (≤5 cm) who underwent preoperative gadoxetic acid-enhanced magnetic resonance imaging (MRI) were included in a single-center retrospective study. Two radiologists reviewed the images with no clinical, pathological, or prognostic information. Significant predictive factors for MVI were identified using logistic regression analysis against pathologic MVI and used to stratify patients. In the subgroup analysis, long-term outcomes of the stratified patients were analyzed using the Kaplan-Meier method with log-rank test and compared between anatomical and nonanatomical or major and minor resection. Results: A total of 408 patients, 318 men and 90 women, with a mean age of 56.7 years were included. Elevated levels of tumor markers (alpha-fetoprotein [α-FP] ≥25 ng/mL and PIVKA-II ≥40 mAU/mL) and three MRI features (tumor size ≥3 cm, non-smooth tumor margin, and arterial peritumoral enhancement) were independent predictive factors for MVI. As the MVI risk increased from low (no predictive factor) and intermediate (1-2 factors) to high-risk (3-4 factors), recurrence-free and overall survival of each group significantly decreased ( Conclusion: Tumor markers and MRI features can predict the risk of MVI and prognosis after hepatectomy. Patients with high MVI risk had the worst prognosis among the three groups, and major hepatectomy improved long-term outcomes in these high-risk patients.

Indexed as

HepatectomyHepatocellular carcinomaMagnetic resonance imagingMicroscopic vascular invasionRecurrence

Identifiers

PMID38751555
PMCPMC11095589

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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.