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      Clinical studies of magnetic resonance elastography from 1995 to 2021: Scientometric and visualization analysis based on CiteSpace

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          Abstract

          Background

          To assess the knowledge framework around magnetic resonance elastography (MRE) and to explore MRE research hotspots and emerging trends.

          Methods

          The Science Citation Index Expanded of the Web of Science Core Collection was searched on 22 October 2021 for MRE-related studies published between 1995 and 2021. Excel 2016 and CiteSpace V (version 5.8.R3) were used to analyze the downloaded data.

          Results

          In all, 1,236 articles published by 726 authors from 540 institutions in 40 countries were included in this study. The top 10 authors published 57.6% of all included articles. The 3 most productive countries were the USA (n=631), Germany (n=202), and France (n=134), and the 3 most productive institutions were the Mayo Clinic (n=240), Charité (n=131), and the University of Illinois (n=56). The USA and the Mayo Clinic had the highest betweenness centrality among countries and institutions, respectively, and played an important role in the field of MRE. In this study, the 24,347 distinct references were clustered into 48 categories via reasonable clustering using specific keywords, forming the knowledge framework. Among the 294 co-occurring keywords, “hepatic fibrosis”, “stiffness”, “skeletal muscle”, “acoustic strain wave”, “in vivo”, and “non-invasive assessment” were research hotspots. “Diagnostic performance”, “diagnostic accuracy”, “hepatic steatosis”, “chronic hepatitis B”, “radiation force impulse”, “children”, and “echo” were frontier topics.

          Conclusions

          Scientometric and visualized analysis of MRE can provide information regarding the knowledge framework, research hotspots, frontier areas, and emerging trends in this field.

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          Most cited references99

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          Emerging trends in regenerative medicine: a scientometric analysis in CiteSpace.

          Regenerative medicine involves research in a number of fields and disciplines such as stem cell research, tissue engineering and biological therapy in general. As research in these areas advances rapidly, it is critical to keep abreast of emerging trends and critical turns of the development of the collective knowledge.
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            The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis

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              High interstitial fluid pressure - an obstacle in cancer therapy.

              Many solid tumours show an increased interstitial fluid pressure (IFP), which forms a barrier to transcapillary transport. This barrier is an obstacle in tumour treatment, as it results in inefficient uptake of therapeutic agents. There are a number of factors that contribute to increased IFP in the tumour, such as vessel abnormalities, fibrosis and contraction of the interstitial matrix. Lowering the tumour IFP with specific signal-transduction antagonists might be a useful approach to improving anticancer drug efficacy.
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                Author and article information

                Journal
                Quant Imaging Med Surg
                Quant Imaging Med Surg
                QIMS
                Quantitative Imaging in Medicine and Surgery
                AME Publishing Company
                2223-4292
                2223-4306
                November 2022
                November 2022
                : 12
                : 11
                : 5080-5100
                Affiliations
                [1 ]deptDepartment of Radiology, Beijing Rehabilitation Hospital , Capital Medical University , Beijing, China;
                [2 ]deptDepartment of Gastroenterology and Hepatology, Beijing Rehabilitation Hospital , Capital Medical University , Beijing, China;
                [3 ]deptDepartment of Otorhinolaryngology, Beijing Rehabilitation Hospital , Capital Medical University , Beijing, China;
                [4 ]deptDepartment of Rehabilitation Psychology, Beijing Rehabilitation Hospital , Capital Medical University , Beijing, China;
                [5 ]deptDepartment of General Surgery, Beijing Electric Power Hospital, State Grid Corporation of China , Capital Medical University , Beijing, China
                Author notes

                Contributions: (I) Conception and design: Z Zhang, Y Jiao; (II) Administrative support: X He, J Wang; (III) Provision of study materials or patients: C Li, X He; (IV) Collection and assembly of data: N Chen, Y Zhang; (V) Data analysis and interpretation: Q Gao; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

                Correspondence to: Yang Jiao. Department of Rehabilitation Psychology, Beijing Rehabilitation Hospital, Capital Medical University, Xixiazhuang South Road, Shijingshan District, Beijing 100144, China. Email: 15001398808@ 123456163.com ; Zongming Zhang. Department of General Surgery, Beijing Electric Power Hospital, State Grid Corporation of China, Capital Medical University, Taipingqiao Street, Fengtai District, Beijing 100073, China. Email: zhangzongming@ 123456mail.tsinghua.edu.cn .
                Article
                qims-12-11-5080
                10.21037/qims-22-207
                9622435
                36330182
                6c56bb3e-f09a-4d13-9da3-636148722551
                2022 Quantitative Imaging in Medicine and Surgery. All rights reserved.

                Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0.

                History
                : 04 March 2022
                : 11 August 2022
                Categories
                Original Article

                emerging trends,hotspots,knowledge framework,magnetic resonance elastography (mre),scientometric analysis

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