Evidence map›Paper›PMID 39138500›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2024

Diffusion-based virtual MR elastography for predicting recurrence of solitary hepatocellular carcinoma after hepatectomy.

Jiejun Chen, Wei Sun, Wentao Wang, Caixia Fu, Robert Grimm, Mengsu Zeng, Shengxiang Rao

Abstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 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.

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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

7 authors.

Jiejun Chen *Department of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China.
Wei Sun *Department of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China.
Wentao WangDepartment of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China.
Caixia FuMR Application development, Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China.
Robert GrimmMR Application Predevelopment, Siemens Healthineers AG, Erlangen, Germany.
Mengsu ZengDepartment of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China.
Shengxiang RaoDepartment of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China. raoxray@163.com.

Funding

National Natural Science Foundation of China No. 82272078
6 · The paper itself

Abstract

backgroundTo explore the capability of diffusion-based virtual MR elastography (vMRE) in the preoperative prediction of recurrence in hepatocellular carcinoma (HCC) and to investigate the underlying relevant histopathological characteristics.

methodsBetween August 2015 and December 2016, patients underwent preoperative MRI examination with a dedicated DWI sequence (b-values: 200,1500 s/mm

resultsA total of 87 patients with solitary surgically confirmed HCCs were included in this study. Thirty-five patients (40.2%) were found to have tumor recurrence after hepatectomy. The preoperative model included higher μ

conclusionsThe μ

Indexed as

Carcinoma, HepatocellularElasticity Imaging TechniquesHepatectomyLiver NeoplasmsNeoplasm Recurrence, LocalAdultAgedDiffusion Magnetic Resonance ImagingFemaleHumansMaleMiddle AgedPrognosisRetrospective Studies

Identifiers

PMID39138500
PMCPMC11320769

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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.