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Mapping the knowledge landscape of the PET/MR domain: a multidimensional bibliometric analysis
Xiaofei Hu1, Jianding Peng2, Min Huang1
1Department of Nuclear Medicine, The First Hospital Affiliated of Army Medical University (Southwest Hospital), 30 Gaotanyanzheng St., Shapingba district, Chongqing, 400038, China.
European Journal of Nuclear Medicine and Molecular Imaging
|January 4, 2025
Summary
This bibliometric analysis of PET/MR research shows increasing publications, with the USA leading collaborations. Emerging trends include AI integration for enhanced diagnostics in oncology and neurology.
Area of Science:
- Medical Imaging
- Radiology
- Nuclear Medicine
Background:
- Positron Emission Tomography/Magnetic Resonance (PET/MR) imaging is a rapidly evolving field.
- Understanding research dynamics is crucial for advancing clinical applications.
Purpose of the Study:
- To perform a bibliometric analysis of PET/MR research from 2010-2024.
- To identify research trends, collaboration patterns, and emerging themes.
Main Methods:
- Literature search of Web of Science Core Collection (WoSCC).
- Analysis of 4,349 publications using VOSviewer and CiteSpace.
Main Results:
- Publication output peaked in 2021, with the USA, Germany, and China as leading countries.
- Key institutions and journals identified; research focuses on oncology, neurology, and cardiovascular diseases.
- Growing integration of Artificial Intelligence (AI), particularly deep learning, for improved imaging and diagnostics.
Conclusions:
- Continuous investment and innovation are needed to expand PET/MR clinical utility.
- Future research should focus on optimizing techniques, fostering collaboration, and integrating AI for precision medicine.
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