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Updated: May 23, 2025

A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis
Published on: June 2, 2015
Bibliometric analysis of ultrasonographic research on deep vein thrombosis
Hui Qin1, Jing Zhou1, Yue Zhang1
1Ultrasound Department, The Affiliated Hospital of Wuhan Sports University, Wuhan, China.
Abstract:
BackgroundDeep vein thrombosis (DVT) is a significant health concern, early diagnosis and treatment are essential for reducing morbidity and mortality. Over recent years, ultrasound has become the preferred diagnostic tool for DVT due to its non-invasive nature, real-time imaging capability, and high accuracy. This study aims to assess the state of ultrasound-based DVT research through bibliometric analysis.MethodsA bibliometric analysis was conducted on publications related to ultrasonographic research in DVT between 1995 and 2024. Data were retrieved from the Web of Science Core Collection using specific search terms. The analysis employed tools such as VOSviewer, R-bibliometrix, and CiteSpace to assess publication trends, country and institutional contributions, collaboration networks, and emerging research topics.ResultsA total of 10,669 publications were identified, with an annual growth rate of 12.61%. The USA had the highest number of publications (2689), and Harvard University was the most productive institution with 470 publications. The most prolific author was Gary S. Mintz (96). The leading journal in the field was the Journal of Vascular Surgery, with 261 publications. Keyword analysis identified "thrombosis," "ultrasound," and "diagnosis" as central themes. The frequency of these keywords indicates that the research primarily focuses on various aspects of thrombosis formation mechanisms, diagnosis, management, prevention, and treatment.ConclusionThis bibliometric study provides a comprehensive overview of the growing field of ultrasound-based DVT research, highlighting key contributions from leading countries and institutions. The continued advancement of imaging technologies and a focus on personalized treatments are expected to drive future research.
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