Objective To explore the research hotspots and latest progress of lung transplantation nursing at home and abroad, and to provide reference ideas and directions for the future related research. Methods Through the collection of CNKI and Web of Science core database, the related literature of lung transplantation nursing from inception to December 2023 was retrieved and CiteSpace software was used to focus on keyword co-occurrence, clustering and emergence. Results A total of 352 Chinese literature and 126 English literature were included in this study, and the number of papers published at home and abroad showed an overall upward trend. There were 34 core authors of Chinese literature and 83 core authors of English literature. The core authors led the team to promote research and promote cooperation at home and abroad. At present, the cooperation among research teams needed to be strengthened. Chinese literature keywords included nursing, lung transplantation, extracorporeal membrane oxygenation, lung rehabilitation, lung transplantation surgery, complications. English literature keywords included lung transplanation, quality of life, international society, disease, bone marrow transplantation. There were 15 clusters and 25 emergent keywords in the CNKI database, and 12 clusters and 25 emergent keywords in the Web of Science core database. ConclusionThe study of lung transplantation nursing at home and abroad has been paid more and more attention, and the research is getting more and more sophisticated. The future study can realize the holistic care of patients during perioperative period on the basis of clinical diagnosis and nursing technology, and improve the survival of patients after operation.
Objective To realize the visualization of three-dimensional microstructure of rabbit sciatic nerve bundles by micro-CT and three-dimensional visualization software Mimics17.0. Methods The sciatic nerve tissues from 6 New Zealand rabbits were divided into 2 groups (n=3), and the sciatic nerve tissues were stained by 1% (group A) and 5% (group B) Lugol solution respectively. After staining for 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, and 3.5 hours, the imaging changes of specimens were observed by light microscope and micro-CT. The clear micro-CT images were exported to the Mimics software to complete the visualization of three-dimensional microstructure of rabbit sciatic nerve according to three-dimensional reconstruction tool. Results The clear three-dimensional microstructure images could be observed in group A at 2.5 hours after staining and in group B at 1.5 hours after staining by light microscope and micro-CT. The sciatic nerve of New Zealand rabbits were divides into 3 bundles and each of them was relatively fixed. There was no obvious crossing or mergers between each bundle. The cross-sectional area of each bundle was (0.425±0.013), (0.038±0.007), and (0.242±0.026) mm2 respectively. The digital model could clearly reflect the microstructure of the sciatic nerve at all cross sections. Conclusion The internal structure of New Zealand rabbits sciatic nerve can be clearly reflected by micro-CT scanning. It provides a reliable method for establishing a nerve microstructure database with large amount specimens.
Recent studies have introduced attention models for medical visual question answering (MVQA). In medical research, not only is the modeling of “visual attention” crucial, but the modeling of “question attention” is equally significant. To facilitate bidirectional reasoning in the attention processes involving medical images and questions, a new MVQA architecture, named MCAN, has been proposed. This architecture incorporated a cross-modal co-attention network, FCAF, which identifies key words in questions and principal parts in images. Through a meta-learning channel attention module (MLCA), weights were adaptively assigned to each word and region, reflecting the model’s focus on specific words and regions during reasoning. Additionally, this study specially designed and developed a medical domain-specific word embedding model, Med-GloVe, to further enhance the model’s accuracy and practical value. Experimental results indicated that MCAN proposed in this study improved the accuracy by 7.7% on free-form questions in the Path-VQA dataset, and by 4.4% on closed-form questions in the VQA-RAD dataset, which effectively improves the accuracy of the medical vision question answer.
objective To observe the differences between four- and single-channel recording of normal multifocal visual evoked potential (mfVEP). Methods mfVEP of 35 health individuals (70 eyes) were detected by both four- and single-channel recording with VERIS apparatus. The root mean square (RMS) value of reactive amplitude was obtained from the results of the two kinds of recording. Each stimulated patch was analyzed to compare the variational degree of each patch between the two recording methods. Responase sasymmetry coefficient (RAC) was introduced to evaluate the symmetry property between the two eyes in an individual. Results Compared with the single-channel recording,the responses of the stimulated patches of the four- channel recording were increased statistically, with most of the patches below the horizontal meridian and some of patches in the upper field, and there was distinct symmetry property between the two eyes in the same individual recorded by four-channel recording. Conclusion The four-channel recording is better than the single one and could be clinically applied and popularized.(Chin J Ocul Fundus Dis，2004，20：156-159)
High-frequency steady-state asymmetric visual evoked potential (SSaVEP) provides a new paradigm for designing comfortable and practical brain-computer interface (BCI) systems. However, due to the weak amplitude and strong noise of high-frequency signals, it is of great significance to study how to enhance their signal features. In this study, a 30 Hz high-frequency visual stimulus was used, and the peripheral visual field was equally divided into eight annular sectors. Eight kinds of annular sector pairs were selected based on the mapping relationship of visual space onto the primary visual cortex (V1), and three phases (in-phase[0º, 0º], anti-phase [0º, 180º], and anti-phase [180º, 0º]) were designed for each annular sector pair to explore response intensity and signal-to-noise ratio under phase modulation. A total of 8 healthy subjects were recruited in the experiment. The results showed that three annular sector pairs exhibited significant differences in SSaVEP features under phase modulation at 30 Hz high-frequency stimulation. And the spatial feature analysis showed that the two types of features of the annular sector pair in the lower visual field were significantly higher than those in the upper visual field. This study further used the filter bank and ensemble task-related component analysis to calculate the classification accuracy of annular sector pairs under three-phase modulations, and the average accuracy was up to 91.5%, which proved that the phase-modulated SSaVEP features could be used to encode high- frequency SSaVEP. In summary, the results of this study provide new ideas for enhancing the features of high-frequency SSaVEP signals and expanding the instruction set of the traditional steady state visual evoked potential paradigm.
Objective To analyze the current status and hotspots of surgical transmural ablation of atrial fibrillation using CiteSpace and VOSviewer. MethodsThe Web of Science Core Collection database was used as the data source. The CiteSpace 5.8.R3 and VOSviewer software were used to analyze the related studies on surgical transmural ablation of atrial fibrillation about the authors, countries/institutions, literature co-citation and keywords. Results A total of 109 articles were enrolled. Damiano RJ was the most prolific researcher, while Cox JL was the author with the highest number of citations. The United States was the leading country in this research field. The University of Washington was an important institution in the study of atrial fibrillation transmural ablation. The main hotpots were the effectiveness of surgical ablation, especially Cox-maze procedure, selection of the energy source of surgical ablation, combination of surgical and catheter ablations, and pulmonary vein isolation. ConclusionThis study visualizes the current research status of surgical ablation of atrial fibrillation. How to improve the effectiveness and transmurality of surgical ablation is a hot research topic in the surgical treatment of atrial fibrillation. The combination of electrophysiology mapping and surgical ablation may be the development direction in the surgical treatment of atrial fibrillation.
ObjectiveTo explore the research hotspots of thyroid cancer nursing, and provide reference and guidance for future research on thyroid cancer nursing. MethodRelevant literature on thyroid cancer care was retrieved through the China National Knowledge Infrastructure (CNKI) and Web of Science (WOS) Core Database, and then analyzed the data using CiteSpace 6.2R4 software. ResultsThis study included a total of 1 096 Chinese literature and 263 English literature. The total number of publications was on the rise. The top 10 keywords in CNKI were: surgery, anxiety and depression, perioperative care, quality of life, complications, postoperative care, clinical pathway, rapid recovery surgery, differentiated thyroid cancer, and psychological care. Except for rapid recovery surgery, the centrality of other key words was greater than 0.1. The top 10 keywords in WOS were: quality of life, management, 131I, papillary thyroid cancer, surgery, impact, anxiety, prevalence, risk factor, and differentiated thyroid cancer. Among them, quality of life played an important intermediary role in co-occurrence networks, with the highest centrality of 0.34. ConclusionsQuality of life, mental health, perioperative period, and papillary thyroid cancer are research hotspots in thyroid cancer care both domestically and internationally. The management of quality of life and symptom management are the development trend of future research. Further research on thyroid cancer care needs to be strengthened, and important measures should be taken to address clinical issues and promote the recovery of thyroid cancer patients. We should strengthen domestic multi center cooperation, expand the breadth and depth of research, and promote the prosperous development of thyroid cancer nursing.
Three-dimensional (3D) visualization technology can well characterize lung nodules, accurately locate lung nodules, accurately identify lung anatomical structures, shorten operation time, reduce intraoperative and postoperative complications, and make thoracoscopic precise lung resection safer and more efficient. However, the mastery of 3D reconstruction technology in some hospitals still needs to be improved. Due to the time and economic cost of 3D printing, the development of this technology is restricted. With the application and improvement of 3D visualization technology in more centers in the future, the development of precise lung resection will be more extensive. This article reviewed the progress on 3D visualization technology in thoracoscopic precise lung resection.
ObjectiveTo explore the application value of multidisciplinary collaborative team (MDT) model in retroperitoneal tumors involving large vessels.MethodsThree cases of retroperitoneal tumors involving great vessels admitted to Xiang’an Hospital of Xiamen University in 2019 were retrospectively analyzed. With the support of 3D visual reconstruction and virtual reality (VR) technology, we performed MDT discussion and three cases received treatment of surgery, intervention, and targeted therapy.ResultsCase 1 was discussed by MDT and concluded that, based on CT examination, 3D reconstruction, and VR virtual image results, the tumor on the right side was determined to be completely resectable. The left tumor was judged to be unresectable, and the proposed treatment plan was right metastatic tumor resection + left metastatic tumor radiofrequency ablation. After surgery case 1 had been followed up for 6 months. The symptoms of diarrhea were significantly improved. CT reexamination showed that liver lesions and left retroperitoneal lesions were the same size and the condition was stable. After discussion by MDT, radiofrequency ablation around the tumor was proposed for case 2. This case was followed up for 3 months after surgery, and CT reexamination showed no new lesion in retroperitoneum. After MDT discussion, we concluded that arteriovenous fistula of case 3 had no indications for surgery, and proposed interventional combined with targeted therapy. After treatment, the tumor was found to be smaller after reexamination in 8 months than before treatment, and the efficacy was evaluated as partial remission. The follow-up was continued.ConclusionThe future development trend of retroperitoneal tumor therapy involving great vessels is to evaluate each patient’s condition under the MDT mode by using 3D visual reconstruction and VR technology, and to formulate the individualized treatment plan of operation combined with other treatments.
This study investigates a brain-computer interface (BCI) system based on an augmented reality (AR) environment and steady-state visual evoked potentials (SSVEP). The system is designed to facilitate the selection of real-world objects through visual gaze in real-life scenarios. By integrating object detection technology and AR technology, the system augmented real objects with visual enhancements, providing users with visual stimuli that induced corresponding brain signals. SSVEP technology was then utilized to interpret these brain signals and identify the objects that users focused on. Additionally, an adaptive dynamic time-window-based filter bank canonical correlation analysis was employed to rapidly parse the subjects’ brain signals. Experimental results indicated that the system could effectively recognize SSVEP signals, achieving an average accuracy rate of 90.6% in visual target identification. This system extends the application of SSVEP signals to real-life scenarios, demonstrating feasibility and efficacy in assisting individuals with mobility impairments and physical disabilities in object selection tasks.