Evidence map›Paper›PMID 37157775›Full record

ArticleClinical and molecular hepatology2023

Classification of microvascular invasion of hepatocellular carcinoma: correlation with prognosis and magnetic resonance imaging.

Yoon Jung Hwang, Jae Seok Bae, Youngeun Lee, Bo Yun Hur, Dong Ho Lee, Haeryoung Kim

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Article in Clinical and molecular hepatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

Who cites it

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

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Yoon Jung HwangDepartments of Pathology Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Jae Seok BaeDepartments of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Youngeun LeeDepartments of Pathology Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Bo Yun HurDepartment of Radiology, Healthcare System Gangnam Center, Seoul National University Hospital, Seoul, Korea.
Dong Ho LeeDepartments of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Haeryoung KimDepartments of Pathology Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.

Funding

Ministry of Science and ICTNational Research Foundation of Korea 2019R1A2C2010056National Research Foundation of Korea 2022R1A2C2010348
6 · The paper itself

Abstract

BACKGROUND/

aimsThe microvascular invasion (MVI) of hepatocellular carcinoma (HCC) involves a wide histological spectrum, and it is unclear whether the degree of MVI correlates with patient prognosis or imaging findings. Here, we evaluate the prognostic value of MVI classification and analyze the radiologic features predictive of MVI.

methodsUsing a retrospective cohort of 506 patients with resected solitary HCCs, the histological and imaging features of MVI were reviewed and correlated with clinical data.

resultsMVI-positive HCCs invading ≥5 vessels or those with ≥50 invaded tumor cells were significantly associated with decreased overall survival (OS). The 5-year OS, recurrence-free survival (RFS), and beyond Milan criteria RFS rates were significantly poorer in patients with severe MVI compared with those with mild or no MVI. Severe MVI was a significant independent predictive factor for OS (odds ratio [OR], 2.962; p<0.001), RFS (OR, 1.638; p=0.002), and beyond Milan criteria RFS (OR, 2.797; p<0.001) on multivariable analysis. On MRI, non-smooth tumor margins (OR, 2.224; p=0.023) and satellite nodules (OR, 3.264; p<0.001) were independently associated with the severe-MVI group on multivariable analysis. Both non-smooth tumor margins and satellite nodules were associated with worse 5-year OS, RFS, and beyond Milan criteria RFS.

conclusionHistologic risk classification of MVI according to the number of invaded microvessels and invading carcinoma cells was a valuable predictor of prognosis in HCC patients. Non-smooth tumor margin and satellite nodules were significantly associated with severe MVI and poor prognosis.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsHumansMagnetic Resonance ImagingNeoplasm InvasivenessPrognosisRetrospective StudiesHepatocellular carcinomaMagnetic resonance imagingMicrovascular invasionPrognosis

Identifiers

PMID37157775
PMCPMC10366800

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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.