Evidence map›Paper›PMID 37276190›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2023

Exploring Three Decades of Progress: A Comprehensive Visual Review of Intravoxel Incoherent Motion MRI Research (1988-2021).

Youwei Li, Yuanfang Zhang, Honglin Shang, Qiang Gao, Qiping Wen, Na Chen, Mingchun Zhai, Jingxin Liu, Zhichao Zhou, Guanying Yang and 3 more

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2023. 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

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

1 citing paper in PubMed.

  1. An Enhanced Diagnostic Model for Incidental Hashimoto's Thyroiditis Using T2-Weighted and Diffusion-Weighted Imaging.Medical science monitor : international medical journal of experimental and clinical research · 2025
    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

13 authors.

Youwei LiDepartment of Rehabilitation Radiology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China (mainland).
Yuanfang ZhangDepartment of Rehabilitation Radiology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China (mainland).
Honglin ShangDepartment of Radiology, The First People's Hospital of Foshan, Guangdong Medical University, Foshan, Guangdong, China (mainland).
Qiang GaoDepartment of Gastroenterology and Hepatology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China (mainland).
Qiping WenDepartment of Rehabilitation Radiology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China (mainland).
Na ChenDepartment of Otorhinolaryngology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China (mainland).
Mingchun ZhaiDepartment of Rehabilitation Radiology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China (mainland).
Jingxin LiuDepartment of Rehabilitation Radiology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China (mainland).
Zhichao ZhouDepartment of Information and Consulting, Peking University Medical Library, Beijing, China (mainland).
Guanying YangDepartment of Radiology, The First People's Hospital of Foshan, Foshan, Guangdong, China (mainland).
Wei WangDepartment of Rehabilitation Radiology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China (mainland).
Zhongming ZhangDepartment of General Surgery, Beijing Electric Power Hospital, State Grid Corporation of China, Capital Medical University, Beijing, China (mainland).
Jianing XiDepartment of Respiratory Rehabilitation, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China (mainland).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Despite an increasing number of published articles on intravoxel incoherent motion (IVIM) in the past decade, almost all have focused on the technique and clinical applications of IVIM, with little attention to the collective knowledge and scientific analysis of this field. The aim of the present study was to construct a knowledge framework and to explore hotspots and emerging trends concerning use of IVIM in humans. MATERIAL AND METHODS The articles concerning IVIM MRI published from 1988 to 2021 were retrieved from the Science Citation Index Expended of the Web of Science Core Collection on 17, August 2021. The downloaded data were imported into Excel 2016 and CiteSpace V for scientometric analysis. RESULTS A total of 921 articles were included in this study and most of them were published since 2012. China (n=392) was the most productive country and the Philips Healthcare (n=46) was the most productive institution. Christian Federau had the largest number of publications (n=18). An article by Andreou A et al (2013) was the most important reference with the most co-citations (n=100) and centrality (0.06). The 5 hotspots in IVIM were perfusion, diffusion-weighted imaging, intravoxel incoherent motion, apparent diffusion coefficient, and magnetic resonance imaging. The 2 frontier topics were "brain perfusion" and "accuracy". According to the clustering of co-citation analysis, "liver", "diffusion weighting", "pancreas", and "brain" were the main research directions. CONCLUSIONS Scientometric analysis of IVIM literature with CiteSpace software can provide researchers with valuable information about knowledge framework, hotspots, and emerging trends concerning IVIM in humans.

Indexed as

AbdomenDiffusion Magnetic Resonance ImagingHumansMotionPancreasPerfusion

Identifiers

PMID37276190
PMCPMC10251772

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.