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

Li, Youwei; Gao, Qiang; Chen, Na; Wang, Juan; Li, Chang; He, Xuan; Yang, Jing; Zhang, Zongming

doi:10.21037/qims-22-207

Cited by 9 publications

(6 citation statements)

References 99 publications

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“…Keywords can effectively embody the central view of scientific literature. Aiming to delve further into hot topics and future frontier topics ( 35 ), the top 20 keywords with the highest frequency were ranked, as shown in Table 4 . Combined with keyword distribution and burst detection, we summarized the main topic as four trends: demonstrating the CT-FFR’s non-inferiority or even the superiority of diagnostic and prognostic performance over ICA and CCTA (mentioned 913 times in 1,912 studies), the comparison between CT-FFR and other similar cardiac imaging tests [e.g., quantification FFR with 140 occurrences, magnetic resonance imaging (MRI) with 152 occurrences, emission CT with 119 occurrences, transluminal attenuation gradient (TAG) with 67 occurrences], the ever-expanding clinical application of CT-FFR (e.g., guiding the optimal medical therapy 106 times, guiding revascularization 93 times), and innovation of technical support (e.g., computed fluid dynamics with 93 occurrences, ML with 55 occurrences, or AI with 28 occurrences).…”

Section: Resultsmentioning

confidence: 99%

Science mapping analysis of computed tomography-derived fractional flow reverse: a bibliometric review from 2012 to 2022

Zhang,

Zhu,

Jiang

et al. 2023

Quant Imaging Med Surg

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Background Computed tomography-derived fractional flow reserve (CT-FFR) is a non-invasive imagological examination used for diagnosing suspected coronary atherosclerotic heart disease, providing the morphological and functional value on a three-dimensional (3D) coronary artery model. This article aimed to collate the existing knowledge and predict this novel technology’s future research hotspots. Methods To collect data, 1,712 articles were retrieved from the Web of Science Core Collection (WoSCC) database from 2012–2022. CiteSpace5.8.R3 was used to visually analyze the research status and predict future research hotspots. Results Firstly, the United States, China, and the Netherlands were identified as the countries having published the most articles about CT-FFR. Jonathan Leipsic’s group ranked first for the highest number of published articles. Secondly, the visualized analysis indicated that the exploration of CT-FFR is multi-disciplinary and involves cardiology, radiology, engineering, and computer science. Thirdly, the hotspots in this field, which were inferred from the keyword distribution and clustering, included the following: “diagnostic performance”, “accuracy”, and the “prognostic value” of CT-FFR, and comparison of CT-FFR and other imaging methods sharing similarities. The research frontiers included technologies utilized to obtain more accurate CT-FFR values, such as artificial intelligence (AI) and deep learning. Conclusions As the first visualized bibliometric analysis on CT-FFR, this study captured the current accumulated information in this field and offer more insight and guidance for future research.

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Section: Resultsmentioning

confidence: 99%

Science mapping analysis of computed tomography-derived fractional flow reverse: a bibliometric review from 2012 to 2022

Zhang,

Zhu,

Jiang

et al. 2023

Quant Imaging Med Surg

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“…The co-occurrence and citation burst of keywords were analyzed using the CiteSpace V software ( 14 ). The keywords are shown in Table 3 .…”

Section: Resultsmentioning

confidence: 99%

The application of radiology for dilated cardiomyopathy diagnosis, treatment, and prognosis prediction: a bibliometric analysis

Fang,

Huang,

Yao

et al. 2023

Quant Imaging Med Surg

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Background Radiology plays a highly crucial role in the diagnosis, treatment, and prognosis prediction of dilated cardiomyopathy (DCM). Related research has increased rapidly over the past few years, but systematic analyses are lacking. This study thus aimed to provide a reference for further research by analyzing the knowledge field, development trends, and research hotspots of radiology in DCM using bibliometric methods. Methods Articles on the radiology of DCM published between 2002 and 2021 in the Web of Science Core Collection database (WoSCCd) were searched and analyzed. Data were retrieved and analyzed using CiteSpace V, VOSviewer, and Scimago Graphic software, and included the name, research institution, and nationality of authors; journals of publication; and the number of citations. Results A total of 4,257 articles were identified on radiology of DCM from WoSCCd. The number of articles published in this field has grown steadily from 2002 to 2021 and is expected to reach 392 annually by 2024. According to subfields, the number of papers published in cardiac magnetic resonance field increased steadily. The authors from the United States published the most (1,364 articles, 32.04%) articles. The author with the most articles published was Bax JJ (54 articles, 1.27%) from Leiden University Medical Center. The most cited article was titled “2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure”, with 138 citations. Citation-based clustering showed that arrhythmogenic cardiomyopathy, T1 mapping, and endomyocardial biopsy are the current hots pots for research in DCM radiology. The most frequently occurring keyword was “dilated cardiomyopathy”. The keyword-based clusters mainly included “late gadolinium enhancement”, “congestive heart failure”, “cardiovascular magnetic resonance”, “sudden cardiac death”, “ventricular arrhythmia”, and “cardiac resynchronization therapy”. Conclusions The United States and Northern Europe are the most influential countries in research on DCM radiology, with many leading distinguished research institutions. The current research hots pots are myocardial fibrosis, risk stratification of ventricular arrhythmia, the prognosis of cardiac resynchronization therapy (CRT) treatment, and subtype classification of DCM.

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“…Over recent years, an increasing number of studies have explored the use of MRE, especially hepatic fibrosis, evaluation of liver regeneration following hepatectomy in hepatocellular carcinoma, skeletal muscle and kidney allograft (25)(26)(27)(28). MRE can be used to quantify tissue stiffness by visualizing the propagation of shear waves in the tissue.…”

Section: Discussionmentioning

confidence: 99%

A diagnostic test of three-dimensional magnetic resonance elastography imaging for preoperative prediction of microvascular invasion in patients with T1 stage clear cell renal carcinoma

Zhang¹,

Wen²,

Chen³

et al. 2023

Transl Androl Urol

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Background: Detection of microvascular invasion (MVI) of kidney tumors is important for selecting the optimal therapeutic strategy. Currently, the prediction of MVI lacks an accurate imaging biomarker.This study evaluated the performance of three-dimensional (3D) magnetic resonance elastography (MRE) imaging in predicting microvascular invasion (MVI) of T1 stage clear cell renal carcinoma (ccRCC).Methods: In this prospective study, we conducted pre-surgical imaging with a clinical 3.0 T magnetic resonance imaging (MRI) system. Firstly, 83 consecutive patients were enrolled in this study. A 3D MRE stiffness map was generated and transferred to a post-processing workstation. Contrast-enhanced computed tomography (CT) was conducted to calculate the tumor enhancement ratio. The presence of MVI was evaluated by histopathological analysis and graded according to the risk stratification based upon the number and distribution. The mean stiffness and CT tumor enhancement ratio was calculated for tumors with or without MVI. The diagnostic performance [sensitivity, specificity, positive predictive value, negative predictive value, area under the curve (AUC)] and independent predicting factors for MVI were investigated.Results: Finally, A total of 80 patients (aged 46.7±13.2 years) were enrolled, including 22 cases of tumors with MVI. The mean MRE stiffness of kidney parenchyma and kidney tumors was 4.8±0.2 and 4.5±0.7 kPa, respectively. There was significant difference in the mean MRE stiffness between tumors with MVI (5.4±0.6 kPa) and tumors without MVI (4.1±0.3 kPa) (P<0.05). The sensitivity, specificity, positive predictive value, negative predictive value, and the AUC for mean stiffness in the prediction of MVI were 100%, 75%, 63%, 96%, and 0.87 [95% confidence interval (CI): 0.72, 0.94], respectively. The corresponding values for the CT tumor enhancement ratio were 90%, 80%, 63%, 96%, and 0.88 (95% CI: 0.71, 0.93), respectively. The odds ratio (OR) value for MRE tumor stiffness and CT kidney tumor enhancement ratio in the prediction of MVI was 2.9 (95% CI: 1.8, 3.7) and 1.2 (95% CI: 1.0, 1.7), respectively (P>0.05).Conclusions: 3D MRE imaging has promising diagnostic performance for predicting MVI in T1 stage ccRCC, which may improve the reliability of surgical strategy selection with T1 stage ccRCC.

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

Cited by 9 publications

References 99 publications

Science mapping analysis of computed tomography-derived fractional flow reverse: a bibliometric review from 2012 to 2022

Science mapping analysis of computed tomography-derived fractional flow reverse: a bibliometric review from 2012 to 2022

The application of radiology for dilated cardiomyopathy diagnosis, treatment, and prognosis prediction: a bibliometric analysis

A diagnostic test of three-dimensional magnetic resonance elastography imaging for preoperative prediction of microvascular invasion in patients with T1 stage clear cell renal carcinoma

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