Evidence map›Paper›PMID 36207937›Full record

ArticleZhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology2022

[Research progress in radiomics based on CT and MRI images for prediction of microvascular invasion in hepatocellular carcinoma].

Y N Liu, Y K Xu, S Y Deng, H G Ding

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In one paragraph

Article in Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology, 2022. 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. Article
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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

4 authors.

Y N LiuDepartment of Gastroenterology and Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing 10006, China.
Y K XuDepartment of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
S Y DengGuangdong Provincial Institute of Liver Disease, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
H G DingDepartment of Gastroenterology and Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing 10006, China.

Funding

The Capital Medical Development and Research Fund 2022-1-2181
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is one of the most common malignant tumors worldwide. Microvascular invasion (MVI) is considered the major risk factor for postoperative recurrence and metastasis in HCC. The diagnosis of MVI relies on the postoperative pathological assessment of the tumor tissues. Seeking non-invasive methods and biomarkers for evaluation of MVI before surgery has important clinical implications for guiding surgical treatment and improving patients' survival. Recent studies have reported the applications of radiomics technique in prediction of MVI in HCC and showed promising results. Herein we summarized the research progress in CT- or MRI-based radiomics models for prediction of MVI in HCC to provide helpful thinking for further research in this field.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsBiomarkersHumansMagnetic Resonance ImagingMicrovesselsNeoplasm InvasivenessRetrospective StudiesTomography, X-Ray ComputedBiomarkers

Identifiers

PMID36207937
PMCPMC12770098

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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.