Evidence map›Paper›PMID 37853175›Full record

ArticleEuropean radiology2024

Preoperative prediction of microvascular invasion in hepatocellular carcinoma using diffusion-weighted imaging-based habitat imaging.

Yunfei Zhang, Jiejun Chen, Chun Yang, Yongming Dai, Mengsu Zeng

Abstract read
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In one paragraph

Article in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
8.7field-weighted citation impact, top 2% of its field
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

35 citing papers in PubMed, 38 citations in OpenAlex.

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  5. 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
    Observational
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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

5 authors at 4 institutions in 1 country.

Yunfei ZhangShanghai Institute of Medical Imaging, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
Jiejun ChenShanghai Institute of Medical Imaging, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
Chun YangShanghai Institute of Medical Imaging, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
Yongming DaiSchool of Biomedical Engineering, ShanghaiTech University, Shanghai, 200032, China.
Mengsu ZengShanghai Institute of Medical Imaging, Fudan University, 180 Fenglin Road, Shanghai, 200032, China. zengmengsu111@163.com.
Fudan University · CNShanghai Medical College of Fudan University · CNShanghaiTech University · CNZhongshan Hospital · CN

Funding

Clinical Research Plan of SHDC SHDC2020CR1029BClinical Research Project of Zhongshan Hospital, Fudan University 2020ZSLC61National Natural Science Foundation of China 82171897Shanghai Municipal Key Clinical Specialty shslczdzk03202
6 · The paper itself

Abstract

objectivesHabitat imaging allows for the quantification and visualization of various subregions within the tumor. We aim to develop an approach using diffusion-weighted imaging (DWI)-based habitat imaging for preoperatively predicting the microvascular invasion (MVI) of hepatocellular carcinoma (HCC).

methodsSixty-five patients were prospectively included and underwent multi-b DWI examinations. Based on the true diffusion coefficient (D

resultsMVI-positive HCC exhibited a significantly higher fraction of habitat 4 (f

conclusionsDWI-based habitat imaging shows clinical potential for noninvasively and preoperatively determining the MVI of HCC with high accuracy. CLINICAL RELEVANCE STATEMENT: The proposed strategy, diffusion-weighted imaging-based habitat imaging, can be applied for preoperatively and noninvasively identifying microvascular invasion in hepatocellular carcinoma, which offers potential benefits in terms of prognostic prediction and clinical management. KEY POINTS: • This study proposed a strategy of DWI-based habitat imaging for hepatocellular carcinoma. • The habitat imaging-derived metrics can serve as diagnostic markers for identifying the microvascular invasion. • Integrating the habitat-based metric and clinical variable, a predictive nomogram was constructed and displayed high accuracy for predicting microvascular invasion.

Indexed as

Carcinoma, HepatocellularDiffusion Magnetic Resonance ImagingLiver NeoplasmsNeoplasm InvasivenessAdultAgedFemaleHumansMaleMicrovesselsMiddle AgedNomogramsProspective StudiesHabitat imagingHepatocellular carcinomaMicrovascular invasion

Identifiers

PMID37853175
OpenAlexW4387733457

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.