Evidence map›Paper›PMID 31032185›Full record

ArticleQuantitative imaging in medicine and surgery2019

Intravoxel incoherent motion derived liver perfusion/diffusion readouts can be reliable biomarker for the detection of viral hepatitis B induced liver fibrosis.

Ting Li, Nazmi Che-Nordin, Yì Xiáng J Wáng, Peng-Fei Rong, Shi-Wen Qiu, Sheng-Wang Zhang, Pan Zhang, Yong-Fang Jiang, Olivier Chevallier, Feng Zhao and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 34 citations in OpenAlex.

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  8. Quantitative imaging in medicine and surgery · 2024
    Article
  9. Review
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  11. Bi-exponential fitting excludingQuantitative imaging in medicine and surgery · 2022
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  19. Topics on quantitative liver magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2019
    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

12 authors at 6 institutions in 2 countries.

Ting LiDepartment of Radiology, The Third Xiangya Hospital, Central South University, Changsha 410013, China.
Nazmi Che-NordinDepartment of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong, China.
Yì Xiáng J WángDepartment of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong, China.
Peng-Fei RongDepartment of Radiology, The Third Xiangya Hospital, Central South University, Changsha 410013, China.
Shi-Wen QiuDepartment of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong, China.
Sheng-Wang ZhangDepartment of Radiology, The Third Xiangya Hospital, Central South University, Changsha 410013, China.
Pan ZhangDepartment of Infectious Diseases, The Third Xiangya Hospital, Central South University, Changsha 410013, China.
Yong-Fang JiangLiver Diseases Research Center, The Second Xiangya Hospital, Central South University, Changsha 410013, China.
Olivier ChevallierDepartment of Vascular and Interventional Radiology, François-Mitterrand Teaching Hospital, Université de Bourgogne, Dijon, France.
Feng ZhaoDepartment of Radiation Oncology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310000, China.
Xiao-Yi XiaoDepartment of Radiology, The Third Xiangya Hospital, Central South University, Changsha 410013, China.
Wei WangDepartment of Radiology, The Third Xiangya Hospital, Central South University, Changsha 410013, China.
Central South University · CNChinese University of Hong Kong · CNThird Xiangya Hospital · CNSecond Xiangya Hospital of Central South University · CNUniversité de Bourgogne · FRZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent two studies reported that intravoxel incoherent motion (IVIM) analysis can separate healthy livers and viral hepatitis B (VHB) induced liver fibrosis. However, in these two studies the starting

methodsThis was a prospective study with data acquired at the Third Xiangya Hospital of Central South University, Changsha, China. Healthy volunteers and patients suspected of VHB induced liver fibrosis with liver biopsy performed, as well as hepatocellular carcinoma patients scheduled for surgery, were recruited. All the hepatocellular carcinoma patients had liver fibrosis. After exclusions based on pre-defined criteria for image data quality, for IVIM analysis this study included 20 healthy volunteers; 4 chronic VHB patients with biopsy showing no liver fibrosis; 11 stage-1 liver fibrosis patients, 10 stage-2 liver fibrosis patients, 2 stage-3 liver fibrosis patients, and 5 stage-4 liver fibrosis patients. In the liver fibrosis patients, 1, 19, and 8 cases had inflammation grade-0, grade-1, and grade-2 respectively. The reference IVIM bi-exponential decay curve fitting analysis was segmented fitting performed with

resultsBased on the smaller coefficient of variation (CoV) for the volunteer group and the smaller patient/volunteer ratios [= (mean measurement for patient groups)/(mean measurement for healthy volunteers)], the comparison of fitting methods favored the reference approach starting from

conclusionsSegmented-fitting with threshold-

Indexed as

biomarkerdiffusionfibrosisinflammationIntravoxel incoherent motion (IVIM)liverperfusion

Identifiers

PMID31032185
PMCPMC6462566
OpenAlexW2926974714

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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.