Technology and Health Care最新文献

{"title":"The improvement of pain symptoms in patients with burning mouth syndrome through combined laser and medication therapy.","authors":"Xingcen Li, Qianpeng Li, Jinhan Li, Xiaoyi Wang, Huaxiu Zou, Shuyang Wang, Jingyi Fan","doi":"10.3233/THC-248044","DOIUrl":"https://doi.org/10.3233/THC-248044","url":null,"abstract":"<p><strong>Background: </strong>The etiology of Burning Mouth Syndrome (BMS) remains unclear.</p><p><strong>Objective: </strong>To explore the differences in the therapeutic efficacy of pain improvement between medication therapy and laser therapy in patients with BMS.</p><p><strong>Methods: </strong>45 BMS patients were randomly divided into three groups: The Combination therapy group (Group A, n= 15), The Medication therapy group (Group B, n= 15), and the Laser therapy group (Group C, n= 15). The pain condition of the patients was evaluated using the Numeric Rating Scale (NRS), and the improvement in pain before and after treatment was compared among the three groups.</p><p><strong>Results: </strong>All three groups (A, B, and C) showed a significant reduction in NRS scores after treatment, with statistically significant differences observed among the different groups. Group A exhibited the most significant improvement, with a statistically significant difference before and after treatment.</p><p><strong>Conclusion: </strong>Laser and medication therapy are effective methods for reducing oral burning pain * symptoms, and their combined use yields more significant therapeutic effects.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140960355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The improvement of pain symptoms in patients with burning mouth syndrome through combined laser and medication therapy.","authors":"Xingcen Li, Qianpeng Li, Jinhan Li, Xiaoyi Wang, Huaxiu Zou, Shuyang Wang, Jingyi Fan","doi":"10.3233/THC-248044","DOIUrl":"https://doi.org/10.3233/THC-248044","url":null,"abstract":"<p><strong>Background: </strong>The etiology of Burning Mouth Syndrome (BMS) remains unclear.</p><p><strong>Objective: </strong>To explore the differences in the therapeutic efficacy of pain improvement between medication therapy and laser therapy in patients with BMS.</p><p><strong>Methods: </strong>45 BMS patients were randomly divided into three groups: The Combination therapy group (Group A, n= 15), The Medication therapy group (Group B, n= 15), and the Laser therapy group (Group C, n= 15). The pain condition of the patients was evaluated using the Numeric Rating Scale (NRS), and the improvement in pain before and after treatment was compared among the three groups.</p><p><strong>Results: </strong>All three groups (A, B, and C) showed a significant reduction in NRS scores after treatment, with statistically significant differences observed among the different groups. Group A exhibited the most significant improvement, with a statistically significant difference before and after treatment.</p><p><strong>Conclusion: </strong>Laser and medication therapy are effective methods for reducing oral burning pain * symptoms, and their combined use yields more significant therapeutic effects.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140960357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application study of apnea-hypopnea duration for assessing adult obstructive sleep apnea.","authors":"Weigen Cheng, Cheng Xu, Fen Wang, Yongmin Ding, Jianglong Tu, Linglin Xia","doi":"10.3233/THC-231900","DOIUrl":"10.3233/THC-231900","url":null,"abstract":"<p><strong>Background: </strong>Obstructive sleep apnea (OSA) is a common sleep disordered breathing disorder, which can cause serious damage to multiple human systems. Although polysomnography (PSG) is the current gold standard for diagnosis, it is complex and expensive. Therefore, it is of great significance to find a simple, economical and rapid primary screening and diagnosis method to replace PSG for the diagnosis of OSA.</p><p><strong>Objective: </strong>The purpose of this study is to propose a new method for the diagnosis and classification of OSA, which is used to automatically detect the duration of sleep apnea hypopnea events (AHE), so as to estimate the ratio(S) of the total duration of all-night AHE to the total sleep time only based on the sound signal of sleep respiration, and to identify OSA.</p><p><strong>Methods: </strong>We performed PSG tests on participants and extracted relevant sleep breathing sound signal data. This study is carried out in two stages. In the first stage, the relevant PSG report data of eligible subjects were recorded, the total duration of AHE in each subject's data was extracted, and the S value was calculated to evaluate the severity of OSA. In the second stage, only the sleep breath sound signal data of the same batch of subjects were used for automatic detection, and the S value in the sleep breath sound signal was extracted, and the S value was compared with the PSG diagnosis results to calculate the accuracy of the experimental method.</p><p><strong>Results: </strong>Among 225 subjects. Using PSG as the reference standard, the S value extracted from the PSG diagnostic data report can accurately diagnose OSA(accuracy rate 99.56%) and distinguish its severity (accuracy rate 95.11%). The accuracy of the S value detected in the sleep breathing sound signal in the diagnosis of severe OSA reached 100%.</p><p><strong>Conclusion: </strong>The results show that the experimental parameter S value is feasible in OSA diagnosis and classification. OSA can be identified and evaluated only by sleep breathing sounds. This method helps to simplify the diagnostic grading of traditional OSA and lays a foundation for the subsequent development of simple diagnostic grading equipment.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141288804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Portable technology for postural control measurement: Comparing head position with center of pressure data.","authors":"Daphna Harel, Anat Vilnai Lubetzky","doi":"10.3233/THC-231338","DOIUrl":"10.3233/THC-231338","url":null,"abstract":"<p><strong>Background: </strong>Standing is a basic human function that healthy adults take for granted, yet it is a complex perceptual-motor process that requires sensation of position and motion from the sensory systems.</p><p><strong>Objective: </strong>We assessed agreement between center of pressure data from a laboratory force-platform and head position data from an HTC Vive head-mounted display (HMD) for the evaluation of standing postural control. We investigated the impact of different statistical choices when assessing the relationship between two measurements. Specifically: 1) How does correlation and agreement statistics relate before and after logarithmic transformation? 2) Is there systemic or proportional bias between the force-platform and HMD measurements?</p><p><strong>Methods: </strong>We tested 37 adults (26 controls, 11 with unilateral vestibular hypofunction) standing on foam, observing a static or dynamic visual scene projected from the HMD. We quantified anterior-posterior and medio-lateral sway via Directional Path, Root Mean Square Velocity, Variance, and Power Spectral Density (PSD) from a force-platform and the HMD.</p><p><strong>Results: </strong>Intra-class correlations (ICCs) were moderate-to-good for the non-transformed data and good-to-excellent after logarithmic transformation for all outcomes except for PSD above 1 Hz. Correlations were higher than ICCs. Bland-Altman plots indicated proportional bias but not after logarithmic transformation.</p><p><strong>Conclusions: </strong>Both devices correlated linearly, and measure people's postural responses but cannot be used interchangeably, mostly because they appear to diverge with larger sway as evident on Bland-Altman plots of non-transformed data. Agreement between devices was excellent for low frequency movement but poor for high frequency small corrective movements.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11436308/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141321855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep-KEDI: Deep learning-based zigzag generative adversarial network for encryption and decryption of medical images.","authors":"K Selvakumar, S Lokesh","doi":"10.3233/THC-231927","DOIUrl":"10.3233/THC-231927","url":null,"abstract":"<p><strong>Background: </strong>Medical imaging techniques have improved to the point where security has become a basic requirement for all applications to ensure data security and data transmission over the internet. However, clinical images hold personal and sensitive data related to the patients and their disclosure has a negative impact on their right to privacy as well as legal ramifications for hospitals.</p><p><strong>Objective: </strong>In this research, a novel deep learning-based key generation network (Deep-KEDI) is designed to produce the secure key used for decrypting and encrypting medical images.</p><p><strong>Methods: </strong>Initially, medical images are pre-processed by adding the speckle noise using discrete ripplet transform before encryption and are removed after decryption for more security. In the Deep-KEDI model, the zigzag generative adversarial network (ZZ-GAN) is used as the learning network to generate the secret key.</p><p><strong>Results: </strong>The proposed ZZ-GAN is used for secure encryption by generating three different zigzag patterns (vertical, horizontal, diagonal) of encrypted images with its key. The zigzag cipher uses an XOR operation in both encryption and decryption using the proposed ZZ-GAN. Encrypting the original image requires a secret key generated during encryption. After identification, the encrypted image is decrypted using the generated key to reverse the encryption process. Finally, speckle noise is removed from the encrypted image in order to reconstruct the original image.</p><p><strong>Conclusion: </strong>According to the experiments, the Deep-KEDI model generates secret keys with an information entropy of 7.45 that is particularly suitable for securing medical images.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141538797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of clinical efficacy and long-term prognosis of patients with hepatocellular carcinoma treated with PD-L1 inhibitor targeting.","authors":"Tongguo Si, Yongfei Guo, Mao Yang","doi":"10.3233/THC-231876","DOIUrl":"10.3233/THC-231876","url":null,"abstract":"<p><strong>Background: </strong>The most effective clinical treatment for hepatocellular carcinoma (HCC) is surgery, but most patients are diagnosed when the disease has progressed.</p><p><strong>Objective: </strong>To examine the long-term prognosis and clinical effectiveness of PD-L1 inhibitor-targeted therapy for patients suffering from HCC.</p><p><strong>Methods: </strong>Ninety-six patients with advanced HCC who were admitted to our hospital between December 2019 and April 2022 were split into two groups based on the treatment plan after a retrospective analysis: 43 patients in the control group underwent sorafenib-based targeted therapy, while dulvalizumab was used to treat 53 patients in the observation group. Observation indexes were used to assess the clinical effectiveness and long-term prognosis of HCC patients receiving targeted therapy with dulvalizumab, which included the disease control rate, tumor markers, immune function, survival, quality of survival, and the occurrence of unfavorable side effects such as thrombocytopenia, leukopenia, vomiting, and rash.</p><p><strong>Results: </strong>The initial KPS scores, CEA, CA199, AFP, CD3+, CD4+, CD4+/CD8+, IgG, IgM, and IgA levels did not differ significantly between the two groups (P> 0.05). After treatment, the observation group showed a significantly higher disease control rate (92.45% vs. 74.42%) and improved KPS score, OS, PFS, CD3+, CD4+, CD4+/CD8+, IgG, IgM, and IgA levels compared to the control group. Additionally, the observation group exhibited significantly reduced CEA, CA199, and AFP levels, and a lower overall incidence of adverse reactions (16.98% vs. 51.16%) compared to the control group (P< 0.05).</p><p><strong>Conclusion: </strong>The clinical efficacy of dulvalizumab-targeted treatment of HCC among PD-L1 inhibitors is better, enhancing the disease's ability to be controlled considerably lowering patients' levels of tumor markers. This greatly boosts patients' immune systems, extends their lives and improves the quality of their survival. The frequency of negative reactions is minimal and safe.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141184901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Patient height is a predictive factor for good postoperative knee flexion after cruciate-retaining total knee arthroplasty with GRADIUS design.","authors":"Takanori Miura, Tsuneari Takahashi, Ryusuke Ae, Katsushi Takeshita, Naohisa Miyakoshi","doi":"10.3233/THC-240212","DOIUrl":"10.3233/THC-240212","url":null,"abstract":"<p><strong>Background: </strong>A gradually reducing radius (GRADIUS) design implant can facilitate a smooth transition from stability through full range of motion in total knee arthroplasty (TKA). Nonetheless, patient-specific factors associated with good knee flexion remain unclear.</p><p><strong>Objective: </strong>This study aimed to determine the factors associated with good knee flexion after cruciate-retaining TKA with a GRADIUS prosthesis in an Asian population.</p><p><strong>Methods: </strong>This retrospective study included 135 patients that were stratified according to postoperative knee flexion angle (KFA) into Group F (⩾ 120∘; 85 patients [63.2%]) and Group NF (< 120∘; 50 patients [36.8%]).</p><p><strong>Results: </strong>Patients in Group F were taller and had a lower body mass index (BMI) smaller preoperative hipkneeankle angle and better preoperative extension and flexion angle than Group NF patients. The multivariable analysis revealed that patients' height (odds ratio [OR]: 1.07, P= 0.0150), BMI (OR: 0.85, P= 0.0049), and preoperative flexion angle (OR: 1.06, P= 0.0008) predicted good KFA. The ROC curve analysis showed that the cutoff values of a good KFA were height 155.1 cm, BMI 22.1 kg/m2, and preoperative KFA 120∘.</p><p><strong>Conclusions: </strong>Patient height, BMI, and preoperative KFA were independent factors affecting good postoperative KFA in patients of Asian descent who underwent cruciate-retaining TKA with a GRADIUS design.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141184947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A new method for identification of traditional Chinese medicine constitution based on tongue features with machine learning.","authors":"Mei Zhao, Hengyu Zhou, Jing Wang, Yongyue Liu, Xiaoqing Zhang","doi":"10.3233/THC-240128","DOIUrl":"10.3233/THC-240128","url":null,"abstract":"<p><strong>Background: </strong>The theory of Chinese medicine (TCM) constitution contributes to the optimisation of individualised healthcare programmes. However, at present, TCM constitution identification mainly relies on inefficient questionnaires with subjective bias. Efficient and accurate TCM constitution identification can play an important role in individualised medicine and healthcare.</p><p><strong>Objective: </strong>Building an efficient model for identifying traditional Chinese medicine constitutions using objective tongue features and machine learning techniques.</p><p><strong>Methods: </strong>The DS01-A device was applied to collect tongue images and extract features. We trained and evaluated five machine learning models: Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF), LightGBM (LGBM), and CatBoost (CB). Among these, we selected the model with the best performance as the base classifier for constructing our heterogeneous ensemble learning model. Using various performance metrics, including classification accuracy, precision, recall, F1 score, and area under curve (AUC), to comprehensively evaluate model performance.</p><p><strong>Results: </strong>A total of 1149 tongue images were obtained and 45 features were extracted, forming dataset 1. RF, LGBM, and CB were selected as the base learners for the RLC-Stacking. On dataset 1, RLC-Stacking1 achieved an accuracy of 0.8122, outperforming individual classifiers. After feature selection, the classification accuracy of RLC-Stacking2 improved to 0.8287, an improvement of 0.00165 compared to RLC-Stacking1. RLC-Stacking2 achieved an accuracy exceeding 0.85 for identifying each TCM constitution type, indicating excellent identification performance.</p><p><strong>Conclusion: </strong>The study provides a reliable method for the accurate and rapid identification of TCM constitutions and can assist clinicians in tailoring individualized medical treatments based on personal constitution types and guide daily health care. The information extracted from tongue images serves as an effective marker for objective TCM constitution identification.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141321785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Longitudinal analysis of weight changes before and after total hip arthroplasty: Weight trends, patterns, and predictors.","authors":"Pedro J Rullán, Precious C Oyem, Thomas J Pumo, Shujaa T Khan, Ignacio Pasqualini, Alison K Klika, Wael K Barsoum, Robert M Molloy, Nicolas S Piuzzi","doi":"10.3233/THC-231404","DOIUrl":"https://doi.org/10.3233/THC-231404","url":null,"abstract":"<p><strong>Background: </strong>It is crucial to understand weight trends in patients undergoing total hip arthroplasty (THA).</p><p><strong>Objective: </strong>To evaluate preoperative and postoperative weight trends for patients undergoing primary THA and factors associated with clinically significant weight change.</p><p><strong>Methods: </strong>A prospective cohort who underwent primary unilateral THA (n= 3,011) at a tertiary healthcare system (January 2016 to December 2019) were included in the study. The primary outcomes were clinically significant weight change (> 5% change in body mass index [BMI]) during the one-year preoperative and one-year postoperative periods.</p><p><strong>Results: </strong>Preoperatively, 66.6% maintained a stable weight, 16.0% gained and 17.4% lost weight, respectively. Postoperatively, 64.0% maintained a stable weight, while 22.6% gained and 13.4% lost weight, respectively. Female sex, Black race, obesity, higher Charlson Comorbidity Index (CCI) scores, and older age were associated with preoperative weight loss. Female sex, obesity, higher CCI scores, and Medicare insurance were associated with postoperative weight loss. Preoperative weight loss was associated with postoperative weight gain (OR = 3.37 [CI: 2.67 to 4.25]; p< 0.001), and preoperative weight gain was associated with postoperative weight loss (OR = 1.74 [CI: 1.30 to 2.3]; p< 0.001).</p><p><strong>Conclusion: </strong>Most patients maintained a stable BMI one-year before and one-year after THA. Several factors are associated with weight loss before and after THA. Preoperative weight changes were associated with a reciprocal rebound in BMI post-operatively.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142330594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"TLR9 gene polymorphism confers risk to Helicobacter pylori infection in Jiangsu, China and its inspiration for precision nursing car.","authors":"Yan Liang, Dan Wang","doi":"10.3233/THC-231677","DOIUrl":"10.3233/THC-231677","url":null,"abstract":"<p><strong>Background: </strong>The number of studies which investigate the association between TLR9 gene polymorphism and Helicobacter pylori (H.pylori) infection is low and their results are not consistent.</p><p><strong>Objective: </strong>To get a better understanding of the association between TLR9 gene polymorphism and H.pylori infection, providing basis and risk assessment for precision nursing for hospital nurses.</p><p><strong>Methods: </strong>A total of 630 normal physical examination subjects were collected including 240 H.pylori (+) and 390 H.pylori (-) subjects. PCR-RFLP was applied to investigate the present polymorphism. At the same time, the meta-analysis was performed between TLR9 gene polymorphism and H.pylori infection risk.</p><p><strong>Results: </strong>Three genotypes (TT, TC, and CC) were observed for TLR9 gene rs187084 polymorphism. CC genotype and C allele were responsible for the significant associations (all P< 0.05). Meta-analysis found no significant associations were found by any genetic models (all P> 0.05).</p><p><strong>Conclusion: </strong>TLR9 polymorphism has a crucial role in H.pylori infection risk and CC genotype confers increased risk to H.pylori infection in the Southern Chinese population. After understanding the influence of TLR9 gene polymorphism on H.pylori infection, nurses can improve the risk assessment of Helicobacter pylori infection and provide health education more personally.</p>","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":null,"pages":null},"PeriodicalIF":1.4,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141094172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}