It is difficult to distinguish the inferior alveolar nerve (IAN) from other tissues inside the IAN canal due to their similar CT values in the X image which are smaller than that of the bones. The direct reconstruction, therefore, is difficult to achieve the effects. The traditional clinical treatments mainly rely on doctors' manually drawing the X images so that some subjective results could not be avoided. This paper proposes the partition reconstruction of IAN canal based on shape features. According to the anatomical features of the IAN canal, we divided the image into three parts and treated the three parts differently. For the first, the directly part of the mandibular, we used Shape-driven Level-set Algorithm Restrained by Local Information (BSLARLI) segment IAN canal. For the second part, the mandibular body, we used Space B-spline curve fitting IAN canal's center, then along the center curve established the cross section. And for the third part, the mental foramen, we used an adaptive threshold Canny algorithm to extract IAN canal's edge to find center curve, and then along it established the cross section similarly. Finally we used the Visualization Toolkit (VTK) to reconstruct the CT data as mentioned above. The VTK reconstruction result by setting a different opacity and color values of tissues CT data can perspectively display the INA canal clearly. The reconstruction result by using this method is smoother than that using the segmentation results and the anatomical structure of mental foramen position is similar to the real tissues, so it provides an effective method for locating the spatial position of the IAN canal for implant surgeries.
ObjectivesTo survey the domestic research situation of evidence-based education through visual studies. To summarize the utilization of education evidence in China and promote the process of evidence-based practice concepts and methods application in social science fields, so as to facilitate the domestic evidence-based research towards more scientific and practical. Methods WanFang Data and CNKI databases were searched to collect evidence-based education literatures from inception to December, 2017. Tableau and UCINET software were used to conduct visual and co-word analysis of study types, regions, staff, time, foundation/government support and key words. The social evidence based research situation was sketched. Results A total of 54 literatures were included. Beijing and Guangdong province published the most literatures, followed by Zhejiang province and Tianjin municipality. The quantity of literatures published in 2014 reached the peak of 11 articles, followed by 2016 and 2017, and relatively few in remaining years. We found that " evidence-based pedagogy” owned the highest frequency through building core keywords matrix. Conclusions Evidence-based education in China is still at an early stage. Introduction and promotion is currently the main content. There exists problems remaining in the development of evidence-based education, for instance disjointedness of theory and practice, regional unbalance, and deficiency of original-research. It is still a long way to go.
ObjectivesTo investigate and analyze the status of pediatric internal medicine clinical practice guidelines published in journals of mainland China from 2010 to 2017.MethodsCBM, CNKI, VIP and WanFang Data databases were electronically searched to collect pediatric internal medicine clinical practice guidelines published in Chinese journals of mainland China from January 2010 to December 2017. Two reviewers independently screened literature, extracted data. The author's information was organized and co-word matrixes were produced using BICOMS 2 software. The visualization diagram was plotted using Ucinet 6.0 software to analysze the societal relationship of authors.ResultsA total of 135 pediatric clinical guidelines were included, involving 109 western medical guidelines, 24 Chinese traditional medicine guidelines and 2 guidelines on integrated traditional Chinese and western medicine. The main types of clinical practice guidelines for children were diagnosis and treatment (45.19%), followed by technical guidelines (15.56%). Most of the guidelines were on respiratory diseases (23.70%). 54.81% of the guidelines for children were formulated by seminars and consensus, and 28.89% of the guidelines mentioned the application of evidence-based methods to develop guidelines. The institutes (40.00%) were participated in the development of the guidelines, in which 11 research groups were participated in the development of the guidelines.ConclusionsThe quantity of pediatric internal medicine clinical practice guidelines in mainland China has increased from 2010 to 2017. The scope of the guidelines is limited, and cooperation is required to further improve the quality of children’s guidelines.
Objective To analyze the hot topics and trends of medical research integrity in China and to provide references for future studies. Methods The CNKI, WanFang Data and VIP databases were searched from inception to December 2021. Data on the number of publications, journals, institutions, authors, keywords, and emergent themes were analyzed using bibliometric methods and CiteSpace software. Results A total of 324 studies were included. The results showed that the number of publications increased annually, and "Chinese Journal of Medical Science Research Management" and Peking University were the journal and institution with the most publications, respectively. The three most prolific authors published five studies each, and the publications were mainly concerned with identifying and preventing issues, in addition to education regarding medical research integrity. Conclusion Medical research integrity in China has attracted significant attention. Several leading journals in this research field have emerged; however, there is no clearly dominant research team. The depth and breadth of the research remain to be improved. It is suggested that researchers focus on the effectiveness of strategies for preventing issues, promoting the establishment of the lifelong education system and improving related rules and regulations to advance the development of medical research integrity in China.
ObjectiveTo analyze the research status and summarize research hotspots and development trends of research on artificial intelligence in stomatology. MethodsData retrieved from the Web of Science Core Collection database from inception to 2021 were analyzed by CiteSpace software. ResultsThe number of publications about artificial intelligence in stomatology was rising. The United States ranked first in terms of publications and cooperation capabilities. Apart from comprehensive stomatology journals, the literature was mainly published by specialist journals of oral and maxillofacial surgery, orthodontic and dental radiology. Oral head and neck tumors were the frontier field of artificial intelligence research in stomatology. Artificial intelligence, including deep learning and neural networks, showed the tremendous potential medical value and economic value in assisting in the diagnosis and treatment decisions of oral diseases. ConclusionThe research of artificial intelligence in stomatology has rapidly increased, which is conducive to the development of stomatology in the direction of digitalization, intelligence, and individuation.
Systematic review (SR) and meta-analysis, as the highest level of evidence-based medicine, are an indispensable part of guiding medical staff to make medical decisions. At the same time, the status of patients as shared decision-making is rising. At present, the results of SR and meta-analysis are mainly presented in the form of effect (relative risk or mean difference) and forest plot. The expression is not intuitive or professional. The process of evidence-based evidence guiding clinical decision-making lags behind, which cannot meet the needs of rapid decision-making. With the continuous progress in artificial intelligence and big data analysis tools, researchers have attempted to introduce visual presentations to improve the timeliness of clinical decision-making. Through the interpretation of the outcomes of SR and meta-analysis, this paper presents different visualization results from the perspective of patients and clinical decision-makers, which not only helps the majority of people without medical background understand clinical evidence more intuitively and participate in the process of clinical decision-making, but also helps improve residents' health literacy, promotes the dissemination and sharing of knowledge, and provides references for further promoting the technology of automatic decision-making system.
Objective To analyze the research hotspots and development trends of hospital scientific research management in China, and to provide references for the innovation and development of hospital scientific research management in China. Methods The CNKI database was electronically searched to collect relevant research on scientific research management of domestic hospitals from January 1981 to September 2022. Bibliometrics and CiteSpace software were used for analyze. Results A total of 2 688 articles were included. The trend of publishing hospital scientific research management literature showed four peaks. The institution with the most publications was Peking University People's Hospital. Six authors published more than 15 articles. The most concerned was clinical research. Public hospitals, scientific research projects, and refined management were the latest emerging words. Conclusion The scientific research management of hospitals in China has formed an academic exchange group, but the core author group is small, and there is a lack of cross-institutional cooperation. The innovation mode of scientific research management shows a good development trend, the quantitative index system of scientific research evaluation at all levels is gradually improved, the ability to identify the potential of scientific research talent has been improved, and the cultivation of scientific research management teams needs to be strengthened.
ObjectivesTo explore the current situation, hotspots and trends of research on chronic stable angina pectoris in recent 15 years in China, based on bibliometrics, co-occurrence analysis, cluster analysis and visualization analysis.MethodsUsing CNKI database as the source of literature, we collected the related research of chronic stable angina from 2004 to 2018. Citespace software was used to conduct co-occurrence analysis with authors, institutions and keywords as nodes, cluster analysis, time evolution analysis and Burst analysis of keywords, and corresponding visualization maps were drawn and analyzed.ResultsA total of 4 329 related literatures were retrieved, with analysis showing that the focus of research on chronic stable angina pectoris had been developing steadily in recent years, in which the outstanding contribution was represented by Yang guanlin, Liaoning University of Traditional Chinese Medicine and its affiliated hospital. Research hotspots and frontiers had been mainly focused on angina pectoris, coronary heart disease, trimetazidine, clinical research and other aspects.ConclusionsCiteSpace is used to analyze researches on chronic stable angina pectoris published on Chinese journals from full-text databases in recent 15 years, while intuitively represent the general situation of researches on chronic stable angina pectoris in the past 15 years, preliminarily revealing the cooperative researchers and institutions, forming a general understanding of its research hotspots, frontiers and research trends, and providing a reference for the future development direction.
ObjectiveTo analyze the hotspots and frontiers of oral lichen planus research by bibliometric methods.MethodsWe searched Web of Science Core Collection database to obtain studies on oral lichen planus from inception to January 1st, 2020. After data extraction, Excel 2016 and CiteSpace software were used to carry out descriptive and visual analysis.ResultsA total of 3 105 articles and reviews were included, and the annual publication volume showed a steady growth trend. The research hotspot terms of oral lichen planus were cancer, lesion, and management of the disease. Moreover, pathogenesis, potentially malignant disorder, classification, and diagnosis were defined as novel research frontiers.ConclusionsThrough the bibliometric method, the research hotspots and frontiers of oral lichen planus are displayed intuitively, which provides references for future research.
Statistical graph is an indispensable part of scientific papers. It is helpful to promote the communication, dissemination, and application of academic achievements by presenting research results intuitively and accurately through standardized and beautiful visual graphs. The safety of a medical intervention is the basic premise of its clinical application, and randomized controlled trial (RCT) as an important design to determine the efficacy and safety of medical interventions, it is extremely important to accurately present the information on the safety outcomes of interventions found therein. However, the research found that the reports of RCTs didn’t adequately use visual graphs to present harms data. In order to promote clinical researchers to better use visual graphs to present harms data, international scholars recently published a consensus study in BMJ, which identified and recommended 10 statistical graphs for presenting harms data in RCTs. In order to facilitate domestic scholars to understand and apply the consensus, this article interprets the consensus and recommendations, and it is expected to provide help for improving the quality of harms visualization in domestic papers of RCTs.