Study of the mechanical properties of in vivo corneal materials is an important basis for further study of corneal physiological and pathological phenomena by means of finite element method. In this paper, the elastic coefficient (E) and viscous coefficient (η) of normal cornea and keratoconus under pulse pressure are calculated by using standard linear solid model with the data provided by corneal visualization scheimpflug technology. The results showed that there was a significant difference of E and η between normal cornea and keratoconus cornea (P < 0.05). Receiver operating characteristic curve analysis showed that the area under curve (AUC) for E, η and their combined indicators were 0.776, 0.895 and 0.948, respectively, which indicated that keratoconus could be predicted by E and η. The results of this study may provide a reference for the early diagnosis of keratoconus and avoid the occurrence of keratoconus after operation, so it has a certain clinical value.
ObjectiveBased on the method of bibliometrics, to visually analyze the current research status of DNA polymerase epsilon catalytic/DNA polymerase delta catalytic subunit (POLE/POLD1) mutations in colorectal cancer, and further to explore its current hot spots and to look forward to future development trends.MethodsUsed the Web of Science database as the data source to retrieve the published related literatures in the 30 years from the establishment of the database to September 2020, and used VOSviewer 1.6.11 and CiteSpace 5.7 software to analyze the the distribution of research countries/institutions, authors and keywords in the included published literatures. And to perform cluster analysis, time evolution analysis and Burst analysis on keywords, draw corresponding visual maps and analyzed them.ResultsA total of 299 published articles were included. Bibliometric analysis showed that the application of POLE/POLD1 mutations in colorectal cancer had developed steadily in recent years. After 2012, the number of published studies had increased significantly; the journals with the most articles were Familial Cancer and Proceedings of the National Academy of Sciences of the United States of America. The author with the highest number of articles was Tomlinson I. The analysis of countries and regions showed that the United States was the main country for research in this field and had contributed the most to the amount of publications. After analyzed the academic institutions/universities where the researchers were located, it could be seen that the University of Oxford was the research university/institution with the most publications. Keyword cluster analysis and time evolution analysis showed that the research hotspots in this field focus on the impact of this gene mutation on immunotherapy. Burst analysis showed that the current published research in this field started two years after publication and continues to be highly cited.ConclusionsPOLE/POLD1 mutation has undoubtedly become a hot area of current research in colorectal cancer research. Among them, tumor immunotherapy is the focus of research in this field.
ObjectiveTo analyze the current development of researches on biomarkers for predicting the efficacy of immunotherapy in non-small cell lung cancer and to provide reference for subsequent studies. MethodsStudies on biomarkers for predicting the efficacy of immunotherapy for non-small cell lung cancer indexed in the Web of Science Core Collection from 2017 to 2021 were searched by computer. The annual distribution, journals, authors, countries, institutions, and keywords of studies were visualized and analyzed by CiteSpace. ResultsA total of 426 studies were collected, including 298 articles and 128 reviews. The average number of published studies was about 85, and increased year by year. PD-L1 expression, tumor mutational burden, tumor microenvironment and liquid biopsy were hot keywords in this field. ConclusionIn the future, combination of biomarkers in the liquid biopsy and tumor microenvironment with radiomics analysis will be the research hotspot and frontier in this field for more accurate assessment with tumor-related signatures such as lymphocytic immune status and characteristics of tumor lesions in non-small cell lung cancer patients.
ObjectiveTo realize the current status and hot issues in the field of gastric cancer imaging research, and to provide references for radiologists and gastrointestinal surgeons to grasp the overall overview of gastric cancer imaging.MethodWe downloaded the relevant literatures of gastric cancer imaging published in 2010–2020 in the Web of Science database, and used Citespace 5.7.R3 software for related visual analysis.ResultsA total of 726 articles in the field of gastric cancer imaging research were retrieved and screened. The number of gastric cancer imaging studies published from 2010 to 2020 was on the rise, with the top three countries published in China, Japan, and the United States. The clusters of co-cited literature on gastric cancer imaging: confocal laser microendoscopy, gastric cancer, gastric mucosal intestinal metaplasia, preoperative T staging, convolutional neural network, deep learning, advanced gastric cancer, in vivo differentiation, early stage gastric cancer, surgical treatment, perigastric lymph nodes, nearest neighbor algorithm, and so on. Hot words in recent research fields included: risk factors, characteristics, deep learning, chemotherapy, and neural networks.ConclusionThe imaging diagnosis of early gastric cancer and the application of artificial intelligence are the research hotspots in this field.
Objective To analyze the current research application status and hotspots of nanoparticles in the treatment of non-small cell lung cancer (NSCLC) and predict the future development trend. MethodsThe Web of Science database was searched for literatures on nanoparticles use in the treatment of NSCLC from inception to November 2022. CiteSpace, VOSviewer and literature measurement analysis online platform (https://bibliometric.com/) were used for the visual analysis of the number of documents, source journals, authors, organizations, countries and keywords. ResultsA total of 742 English literatures were included. The results showed that the number of published literatures increased year by year from 2011 and reached the peak in 2020. Researches on nanoparticles and NSCLC treatment were mainly concentrated in China, the United States, India and Japan. China is a major research country in this field, but it lacked cooperation with other countries and related institutions. Among numerous research institutions, the Chinese Academy of Sciences was the authoritative and backbone force in this research field, with the number of published literatures ranking first and the research achievements outstanding. The keyword analysis found that "poly lactic-co-glycolic acid nanoparticles (PLGA NPs)" and "photothermal therapy" had become the latest breakout words since 2018. Moreover, the occurrence frequency of related keywords such as "drug delivery" increased significantly, indicating that the application of PLGA NPs in photothermal therapy might be the current research hotspot and future development trend of NSCLC treatment. ConclusionCurrently, the domestic research on the treatment of nanoparticles and NSCLC is in a leading position in the world. The organic combination of nanoparticles with different materials and other NSCLC therapies is expected to improve the prognosis of NSCLC patients. In the future, attempts to develop nanoparticles with different sources and structures and combined with photothermal therapy for the treatment of NSCLC may become a research hotspot of nanoparticles in the treatment of NSCLC.
Objective To analyze the research hotspots and trends in the field of hyperkalemia in hemodialysis patients at home and abroad, and to provide reference for the research and prevention and control of hyperkalemia in hemodialysis patients. Methods China National Knowledge Infrastructure (CNKI) and Web of Science databases were searched by computer for literature about the hyperkalemia in hemodialysis patients published between January 1995 and January 2023. The included literature was analyzed using visualization analysis tools for visualization, including high-frequency keywords, keyword co-occurrence map, keyword emergence intensity and keyword time series prediction. Results A total of 10 275 articles were included. Among them, there were 10 036 articles from web of science and 239 articles from CNKI. The number of articles in this research field showed a trend of steady increase year by year. The United States was in a leading position in the research and development in this field, followed by China. At the same time, the research in this field presents the characteristics of multidisciplinary integration. The development trends of research hotspots in the next 5 years were risk and health education research. Conclusions The number of research articles related to hyperkalemia in hemodialysis patients is gradually increasing. Multidisciplinary approach and integration is a research hotspot and frontier in the development of hyperkalemia in hemodialysis patients both domestically and internationally.
ObjectiveTo reveal and demonstrate the hotspots and further research directions in screening technology for early lung cancer, and provide references for the future studies. MethodsResearches related to lung cancer screening from 2011 to 2021 in the Web of Science database were included. Biblioshiny, a bibliometrics program based on R language, was used to perform content analysis and visualization of the included literature information. ResultsResearches related to lung cancer screening were increasing year by year. Six major cooperation groups were formed between countries. The current research hotspots in the field of early lung cancer screening technology mainly focused on the multi-directional fusion of radiographic imaging, liquid biopsy and artificial intelligence. ConclusionLow-dose spiral CT screening is still the most important and mainstream method for the screening of early lung cancer at present. The combination and integration of artificial intelligence with various screening methods and the innovation of novel testing and diagnostic equipment are the current research hotspots and the future research trend in this field.
The effect of deep brain stimulation (DBS) surgery treatment for Parkinson's disease is determined by the accuracy of the electrodes placement and localization. The subthalamic nuclei (STN) as the implant target is small and has no clear boundary on the images. In addition, the intra-operative magnetic resonance images (MRI) have such a low resolution that the artifacts of the electrodes impact the observation. The three-dimensional (3D) visualization of STN and other nuclei nearby is able to provide the surgeons with direct and accurate localizing information. In this study, pre- and intra-operative MRIs of the Parkinson's disease patients were used to realize the 3D visualization. After making a co-registration between the high-resolution pre-operative MRIs and the low-resolution intra-operative MRIs, we normalized the MRIs into a standard atlas space. We used a special threshold mask to search the lead trajectories in each axial slice. After checking the location of the electrode contacts with the coronal MRIs of the patients, we reconstructed the whole lead trajectories. Then the STN and other nuclei nearby in the standard atlas space were visualized with the grey images of the standard atlas, accomplishing the lead reconstruction and nerve nuclei visualization near STN of all patients. This study provides intuitive and quantitative information to identify the accuracy of the DBS electrode implantation, which could help decide the post-operative programming setting.
ObjectiveTo provide method references for data visualization of multiple linear regression analysis.MethodsAfter importing data to R Studio, this paper conducted general descriptive statistics analysis, then constructed a linear model between independent variables and the target. After checking independence of observations, the normality of the target, and the linearity between variables, this paper estimated coefficients of independent variables, dealt with multicollinearity, tested significance of estimates and performed residual analysis to guarantee that the regression met its assumptions, and eventually used the fitted model for prediction.ResultsThe multiple linear regression analysis implemented by R Studio software had better visualization functions and easier operation than traditional R language software.ConclusionsR Studio software has good application value in realizing multiple linear regression analysis data visualization.
Objective To explore the global research status and trends of continuous renal replacement therapy (CRRT) based on knowledge visualization analysis. Methods Based on the Web of Science Core Collection, studies reporting CRRT research that were published between June 2014 and June 2023 were retrieved and collected after manual review. VOSviewer and CiteSpace softwares were used for bibliometric visualization analysis, including publication trends, geographical distribution characteristics, journal distribution characteristics, author contributions, citations, funding source characteristics, and keyword clustering. Results A total of 2708 papers were analyzed, with an increasing trend in the number of articles and citation frequency from 2015 to 2021. The United States was the most prolific country and France was the most influential country. The University of Pittsburgh in the United States had the highest number of publications among research institutions and showed higher motivation for inter-institutional collaboration. The University of Queensland in the Australia had the highest average citation frequency. Professor Rinaldo Bellomo of Australia was the most productive author and Professor Jeffrey Lipman was the most influential. Jason A. Roberts, Jeffrey Lipman and Claudio Ronco were the three authors who had the highest number of collaborations with other authors. Keyword cluster analysis showed that the prognosis of CRRT for renal disease was the focus of research, with hotspots of research being antibiotics, citrate accumulation, plasma replacement, lactate clearance, acute respiratory distress syndrome, and coronavirus disease 2019. Coupling analysis of the literature showed that exploring the indications for CRRT and optimizing treatment prescription were at the forefront of research. Conclusions The present study of CRRT has generally shown an upward trend in the last decade. The management and efficacy of CRRT remains a hot topic of research. Exploring the indications for CRRT and optimizing treatment prescriptions may be a popular research direction and trend in the future.