Evidence map›Paper›PMID 38285179›Full record

ArticleAbdominal radiology (New York)2024

Comparison and optimization of b value combinations for diffusion-weighted imaging in discriminating hepatic fibrosis.

Jiaoyan Wang, Xue Zhou, Mingrong Yao, Wenli Tan, Songhua Zhan, Kun Liu, Zhen Feng, Huamei Yan, Yongming Dai, Jie Yuan

Abstract read
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In one paragraph

Article in Abdominal radiology (New York), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  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
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

10 authors at 3 institutions in 1 country.

Jiaoyan Wang *Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, No. 528, Zhangheng Road, Pudong District, Shanghai, 201203, China.
Xue Zhou *Department of Radiology, Central Hospital of Jiangjin District and Chongqing University Jiangjin Hospital, Chongqing, 402260, China.
Mingrong YaoDepartment of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, No. 528, Zhangheng Road, Pudong District, Shanghai, 201203, China.
Wenli TanDepartment of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, No. 528, Zhangheng Road, Pudong District, Shanghai, 201203, China.
Songhua ZhanDepartment of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, No. 528, Zhangheng Road, Pudong District, Shanghai, 201203, China.
Kun LiuDepartment of Pathology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Zhen FengDepartment of Pathology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Huamei YanClinical Research Center, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Yongming DaiMR Collaboration, United Imaging Healthcare, Shanghai, 200030, China.
Jie YuanDepartment of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, No. 528, Zhangheng Road, Pudong District, Shanghai, 201203, China. yuanjie3352@shutcm.edu.cn.ORCID 0000-0002-6471-6687
Shanghai University of Traditional Chinese Medicine · CNChongqing University · CNUnited Imaging Healthcare (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

INTRODUCTION AND

objectivesDiffusion-weighted imaging (DWI) has shown potential in characterizing hepatic fibrosis. However, there are no widely accepted apparent diffusion coefficient (ADC) values for the b value combination. This study aims to determine the optimal high and low b values of DWI to assess hepatic fibrosis in patients with chronic liver disease. MATERIALS AND

methodsThe prospective study included 81 patients with chronic liver disease and 21 healthy volunteers who underwent DWI, Magnetic resonance elastography (MRE), and liver biopsy. The ADC was calculated by twenty combinations of nine b values (0, 50, 100, 150, 200, 800, 1000, 1200, and 1500 s/mm

resultsAll ADC values of the healthy volunteers were significantly higher than those of the hepatic fibrosis group (all P < 0.01). With the progression of hepatic fibrosis, ADC values significantly decreased in b value combinations (100 and 1000 s/mm

conclusionDWI offers an alternative to MRE as a useful imaging marker for detecting and staging hepatic fibrosis. Clinically, ADC values for b values ranging from 200-800 s/mm

Indexed as

Elasticity Imaging TechniquesLiver CirrhosisBiopsyDiffusion Magnetic Resonance ImagingHumansProspective StudiesDiffusion-weighted imagingHepatic fibrosisMagnetic resonance elastography

Identifiers

PMID38285179
OpenAlexW4391313153

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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.