Evidence map›Paper›PMID 38577177›Full record

ArticleWorld journal of gastroenterology2024

Staging liver fibrosis with various diffusion-weighted magnetic resonance imaging models.

Yan-Li Jiang, Juan Li, Peng-Fei Zhang, Feng-Xian Fan, Jie Zou, Pin Yang, Peng-Fei Wang, Shao-Yu Wang, Jing Zhang

Abstract readClinical Study
In one paragraph

Article in World journal of gastroenterology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. [Advances and challenges in new technologies for imaging evaluation of liver fibrosis].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
    Review
  4. Review
  5. Article
  6. Article
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

9 authors.

Yan-Li JiangDepartment of Magnetic Resonance Imaging, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou 730030, Gansu Province, China.
Juan LiDepartment of Hepatology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou 730030, Gansu Province, China.
Peng-Fei ZhangDepartment of Magnetic Resonance Imaging, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou 730030, Gansu Province, China.
Feng-Xian FanDepartment of Magnetic Resonance Imaging, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou 730030, Gansu Province, China.
Jie ZouDepartment of Magnetic Resonance Imaging, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou 730030, Gansu Province, China.
Pin YangDepartment of Magnetic Resonance Imaging, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou 730030, Gansu Province, China.
Peng-Fei WangDepartment of Magnetic Resonance Imaging, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou 730030, Gansu Province, China.
Shao-Yu WangMR Scientific Marketing, Siemens Healthineers, Xi'an 710065, Shaanxi Province, China.
Jing ZhangDepartment of Magnetic Resonance Imaging, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou 730030, Gansu Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiffusion-weighted imaging (DWI) has been developed to stage liver fibrosis. However, its diagnostic performance is inconsistent among studies. Therefore, it is worth studying the diagnostic value of various diffusion models for liver fibrosis in one cohort.

aimTo evaluate the clinical potential of six diffusion-weighted models in liver fibrosis staging and compare their diagnostic performances.

methodsThis prospective study enrolled 59 patients suspected of liver disease and scheduled for liver biopsy and 17 healthy participants. All participants underwent multi-b value DWI. The main DWI-derived parameters included Mono-apparent diffusion coefficient (ADC) from mono-exponential DWI, intravoxel incoherent motion model-derived true diffusion coefficient (IVIM-D), diffusion kurtosis imaging-derived apparent diffusivity (DKI-MD), stretched exponential model-derived distributed diffusion coefficient (SEM-DDC), fractional order calculus (FROC) model-derived diffusion coefficient (FROC-D) and FROC model-derived microstructural quantity (FROC-μ), and continuous-time random-walk (CTRW) model-derived anomalous diffusion coefficient (CTRW-D) and CTRW model-derived temporal diffusion heterogeneity index (CTRW-α). The correlations between DWI-derived parameters and fibrosis stages and the parameters' diagnostic efficacy in detecting significant fibrosis (SF) were assessed and compared.

resultsCTRW-D (

conclusionThe DWI models were similarly valuable in distinguishing SF in patients with liver disease. The combined index of CTRW parameters had the highest AUC.

Indexed as

Diffusion Magnetic Resonance ImagingLiver DiseasesDiffusion Tensor ImagingHumansLiver CirrhosisProspective StudiesDiffusion-weighted magnetic resonanceLiver biopsyLiver fibrosisMagnetic resonance imagingSignificant fibrosis

Identifiers

PMID38577177
PMCPMC10989501

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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.