Evidence map›Paper›PMID 39218467›Full record

ArticleSaudi medical journal2024

Monoexponential and advanced diffusion-weighted imaging for hepatic fibrosis staging based on high inter-examiner reliability.

Lesheng Huang, Qian Wei, Hui Peng, Wanchun Zhang, Jiahui Tang, Tianzhu Liu

Abstract read
In one paragraph

Article in Saudi medical journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

The trial behind it

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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

1 citing paper in PubMed.

  1. Review
4 · The record

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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

6 authors.

Lesheng HuangFrom the Department of Radiology (Huang, Wei, Zhang, Tang, Liu); and from the Department of Pathology (Peng), Guangdong Provincial Hospital of Chinese Medicine, Zhuhai, China.
Qian WeiFrom the Department of Radiology (Huang, Wei, Zhang, Tang, Liu); and from the Department of Pathology (Peng), Guangdong Provincial Hospital of Chinese Medicine, Zhuhai, China.
Hui PengFrom the Department of Radiology (Huang, Wei, Zhang, Tang, Liu); and from the Department of Pathology (Peng), Guangdong Provincial Hospital of Chinese Medicine, Zhuhai, China.
Wanchun ZhangFrom the Department of Radiology (Huang, Wei, Zhang, Tang, Liu); and from the Department of Pathology (Peng), Guangdong Provincial Hospital of Chinese Medicine, Zhuhai, China.
Jiahui TangFrom the Department of Radiology (Huang, Wei, Zhang, Tang, Liu); and from the Department of Pathology (Peng), Guangdong Provincial Hospital of Chinese Medicine, Zhuhai, China.
Tianzhu LiuFrom the Department of Radiology (Huang, Wei, Zhang, Tang, Liu); and from the Department of Pathology (Peng), Guangdong Provincial Hospital of Chinese Medicine, Zhuhai, China.ORCID https://orcid.org/0000-0001-6213-9356

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine the diagnostic efficiencies of multiple diffusion-weighted imaging (DWI) techniques for hepatic fibrosis (HF) staging under the premise of high inter-examiner reliability.

methodsParticipants with biopsy-confirmed HF were recruited and divided into the early HF (EHF) and advanced HF (AHF) groups; healthy volunteers (HVs) served as controls. Two examiners analyzed intravoxel incoherent motion (IVIM) using the IVIM-DWI and diffusion kurtosis imaging (DKI) models. Intravoxel incoherent motion-DWI, DKI, and diffusion tensor imaging parameters with intraclass correlation coefficients (ICCs) of ≥0.6 were used to create regression models: HVs vs. EHF and EHF vs. AHF.

resultsWe enrolled 48 HVs, 59 EHF patients, and 38 AHF patients. Mean, radial, and axial kurtosis; fractional anisotropy; mean, radial, and axial diffusivity; and α exhibited excellent reliability (ICCs: 0.80-0.98). Fractional anisotropy of kurtosis, f, and apparent diffusion coefficient showed good reliability (ICCs: 0.69-0.92). The real (0.58-0.67), pseudo- (0.27-0.76), and distributed diffusion coefficients (0.58-0.67) showed low reliability. In the HVs versus (vs.) EHF model, α (

conclusionUnder the premise of high inter-examiner reliability, DWI and IVIM-derived stretched-exponential model parameters may help stage HF.

Indexed as

Diffusion Magnetic Resonance ImagingLiver CirrhosisAdultFemaleHumansMaleMiddle AgedObserver VariationReproducibility of Resultsdiffusion kurtosis imagingdiffusion tensor imagingdiffusion-weighted imaginghepatic fibrosisintravoxel incoherent motion

Identifiers

PMID39218467
PMCPMC11376692

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