Purpose To investigate the feasibility of a deep learning framework to automatically analyze echocardiographic color Doppler videos in detecting valvular regurgitation.Materials and Methods This study retrospectively collected echocardiographic images of 1 109 patients with valvular regurgitation in the Fourth Medical Center of PLA General Hospital,from June 2015 to September 2019 as the training and validation sets.A prospective continuous collection of 1 562 echocardiography images was used as the test set in the Fourth Medical Center of PLA General Hospital from May 13 to June 13,2023,including 378 cases of mitral regurgitation and 223 cases of aortic regurgitation.This study developed deep learning networks to establish view classification model and valvular regurgitation recognition model,including the efficiency of section classification of deep learning models.Results The deep learning view classification model in this study could automatically identify two views for diagnosing mitral regurgitation and aortic regurgitation.The recognition accuracy for the parasternal long axis color Doppler view and the apical four chamber mitral color Doppler view was 1.00 and 0.93,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model for diagnosing mitral regurgitation were 0.847,0.852,0.849 and 0.930,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model in diagnosing aortic regurgitation were 0.857,0.861,0.859 and 0.940,respectively.Conclusion Deep learning algorithms can automatically identify valvular regurgitation and have the potential to become a screening tool for valvular heart disease.

Objective:To investigate the effect of Yiqi Shengqing Formula on neuronal damage in ischemic stroke(IS)rats by regulating brain-derived neurotrophic factor(BDNF)-extracellular regulated protein kinase(ERK)-cyclic adenosine monophosphate-responsive element binding protein(CREB)signal pathway.Methods:IS rat model was prepared by modified thread suppository method,and randomly divided into model group,low dose Yiqi Shengqing Formula(3 g/kg)group,high dose Yiqi Shengqing Formula(6 g/kg)group,high dose Yiqi Shengqing Formula(6 g/kg)+empty load group,high dose Yiqi Shengqing Formula(6 g/kg)+BDNF knockdown group,with 10 rats in each group,another 10 healthy rats were set as sham operation group.After intervention with Yiqi Shengqing Formula and plasmid,neural function of rats in each group was scored with Longa scoring method;Morris water maze test was used to detect cognitive impairment of rats in each group;Nissl staining was used to detect the number of neurons in ischemic peripheral brain tissue and hippocampus of rats in each group;synaptic morphology of ischemic peripheral brain tissue was detected by silver staining;levels of TNF-α and IL-8 in brain tissue and serum of rats in each group were measured by ELISA;expressions of BDNF-ERK-CREB signal pathway related proteins in rat brain were detected by Western blot.Results:Compared with sham operation group,synaptic morphology of ischemic peripheral brain tissue in model group was severely damaged,retention time in target quad-rant,times of crossing platform,the number of neurons in ischemic peripheral brain tissue and hippocampus,expressions of BDNF protein and p-ERK/ERK,p-CREB/CREB in brain tissue were decreased significantly(P<0.05),while neurological function score and levels of inflammatory factors TNF-α and IL-8 in brain tissue and serum were increased significantly(P<0.05).Compared with model group,synaptic morphological damage of ischemic peripheral brain tissue in rats in low dose Yiqi Shengqing Formula group and high dose Yiqi Shengqing Formula group was alleviated,retention time in target quadrant,times of crossing platform,the number of neurons in ischemic peripheral brain tissue and hippocampus,expressions of BDNF protein and p-ERK/ERK,p-CREB/CREB in brain tissue were increased(P<0.05),while neurological function score and levels of inflammatory factors TNF-α and IL-8 in brain tissue and serum were decreased(P<0.05).Compared with low dose Yiqi Shengqing Formula group,damage of synaptic morphology in ischemic peripheral brain tissue of rats in high dose Yiqi Shengqing Formula group was further alleviated,retention time in target quadrant,times of crossing platform,the number of neurons in ischemic peripheral brain tissue and hippocampus,expressions of BDNF protein and p-ERK/ERK,p-CREB/CREB in brain tissue were further increased(P<0.05),while neurological function score and levels of inflammatory factors TNF-α and IL-8 in brain tissue and serum were further reduced(P<0.05).Compared with high dose Yiqi Shengqing Formula group,synaptic morphological damage of ischemic peripheral brain tissue in high dose Yiqi Shengqing Formula+BDNF knockdown group was aggravated,retention time in target quadrant,times of crossing the platform,number of neurons in ischemic peripheral brain tissue and hippocampus,expressions of BDNF protein and p-ERK/ERK,p-CREB/CREB in brain tissue were decreased(P<0.05),while neurological function score and levels of inflammatory factors TNF-α and IL-8 in brain tissue and serum were increased(P<0.05);there was no significant changes in each index of rats in high dose Yiqi Shengqing Formula+empty load group(P>0.05).Conclusion:Yiqi Shengqing Formula can inhibit the neuroinflammation of IS rats by activating BDNF-ERK-CREB signal,thereby reducing the damage of its neurons and improving its neural function.

Objective:To investigate the effect of Yiqi Shengqing Formula on neuronal damage in ischemic stroke(IS)rats by regulating brain-derived neurotrophic factor(BDNF)-extracellular regulated protein kinase(ERK)-cyclic adenosine monophosphate-responsive element binding protein(CREB)signal pathway.Methods:IS rat model was prepared by modified thread suppository method,and randomly divided into model group,low dose Yiqi Shengqing Formula(3 g/kg)group,high dose Yiqi Shengqing Formula(6 g/kg)group,high dose Yiqi Shengqing Formula(6 g/kg)+empty load group,high dose Yiqi Shengqing Formula(6 g/kg)+BDNF knockdown group,with 10 rats in each group,another 10 healthy rats were set as sham operation group.After intervention with Yiqi Shengqing Formula and plasmid,neural function of rats in each group was scored with Longa scoring method;Morris water maze test was used to detect cognitive impairment of rats in each group;Nissl staining was used to detect the number of neurons in ischemic peripheral brain tissue and hippocampus of rats in each group;synaptic morphology of ischemic peripheral brain tissue was detected by silver staining;levels of TNF-α and IL-8 in brain tissue and serum of rats in each group were measured by ELISA;expressions of BDNF-ERK-CREB signal pathway related proteins in rat brain were detected by Western blot.Results:Compared with sham operation group,synaptic morphology of ischemic peripheral brain tissue in model group was severely damaged,retention time in target quad-rant,times of crossing platform,the number of neurons in ischemic peripheral brain tissue and hippocampus,expressions of BDNF protein and p-ERK/ERK,p-CREB/CREB in brain tissue were decreased significantly(P<0.05),while neurological function score and levels of inflammatory factors TNF-α and IL-8 in brain tissue and serum were increased significantly(P<0.05).Compared with model group,synaptic morphological damage of ischemic peripheral brain tissue in rats in low dose Yiqi Shengqing Formula group and high dose Yiqi Shengqing Formula group was alleviated,retention time in target quadrant,times of crossing platform,the number of neurons in ischemic peripheral brain tissue and hippocampus,expressions of BDNF protein and p-ERK/ERK,p-CREB/CREB in brain tissue were increased(P<0.05),while neurological function score and levels of inflammatory factors TNF-α and IL-8 in brain tissue and serum were decreased(P<0.05).Compared with low dose Yiqi Shengqing Formula group,damage of synaptic morphology in ischemic peripheral brain tissue of rats in high dose Yiqi Shengqing Formula group was further alleviated,retention time in target quadrant,times of crossing platform,the number of neurons in ischemic peripheral brain tissue and hippocampus,expressions of BDNF protein and p-ERK/ERK,p-CREB/CREB in brain tissue were further increased(P<0.05),while neurological function score and levels of inflammatory factors TNF-α and IL-8 in brain tissue and serum were further reduced(P<0.05).Compared with high dose Yiqi Shengqing Formula group,synaptic morphological damage of ischemic peripheral brain tissue in high dose Yiqi Shengqing Formula+BDNF knockdown group was aggravated,retention time in target quadrant,times of crossing the platform,number of neurons in ischemic peripheral brain tissue and hippocampus,expressions of BDNF protein and p-ERK/ERK,p-CREB/CREB in brain tissue were decreased(P<0.05),while neurological function score and levels of inflammatory factors TNF-α and IL-8 in brain tissue and serum were increased(P<0.05);there was no significant changes in each index of rats in high dose Yiqi Shengqing Formula+empty load group(P>0.05).Conclusion:Yiqi Shengqing Formula can inhibit the neuroinflammation of IS rats by activating BDNF-ERK-CREB signal,thereby reducing the damage of its neurons and improving its neural function.

Purpose To investigate the feasibility of a deep learning framework to automatically analyze echocardiographic color Doppler videos in detecting valvular regurgitation.Materials and Methods This study retrospectively collected echocardiographic images of 1 109 patients with valvular regurgitation in the Fourth Medical Center of PLA General Hospital,from June 2015 to September 2019 as the training and validation sets.A prospective continuous collection of 1 562 echocardiography images was used as the test set in the Fourth Medical Center of PLA General Hospital from May 13 to June 13,2023,including 378 cases of mitral regurgitation and 223 cases of aortic regurgitation.This study developed deep learning networks to establish view classification model and valvular regurgitation recognition model,including the efficiency of section classification of deep learning models.Results The deep learning view classification model in this study could automatically identify two views for diagnosing mitral regurgitation and aortic regurgitation.The recognition accuracy for the parasternal long axis color Doppler view and the apical four chamber mitral color Doppler view was 1.00 and 0.93,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model for diagnosing mitral regurgitation were 0.847,0.852,0.849 and 0.930,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model in diagnosing aortic regurgitation were 0.857,0.861,0.859 and 0.940,respectively.Conclusion Deep learning algorithms can automatically identify valvular regurgitation and have the potential to become a screening tool for valvular heart disease.

Objective: This study aimed to determine the predictive performance of non-contrast CT (NCCT) signs for hemorrhagic growth after intracerebral hemorrhage (ICH) when stratified by onset-to-imaging time (OIT). Materials and Methods: 1488 supratentorial ICH within 6 h of onset were consecutively recruited from six centers between January 2018 and August 2022. NCCT signs were classified according to density (hypodensities, swirl sign, black hole sign, blend sign, fluid level, and heterogeneous density) and shape (island sign, satellite sign, and irregular shape) features. Multivariable logistic regression was used to evaluate the association between NCCT signs and three types of hemorrhagic growth: hematoma expansion (HE), intraventricular hemorrhage growth (IVHG), and revised HE (RHE). The performance of the NCCT signs was evaluated using the positive predictive value (PPV) stratified by OIT. Results: Multivariable analysis showed that hypodensities were an independent predictor of HE (adjusted odds ratio [95% confidence interval] of 7.99 [4.87–13.40]), IVHG (3.64 [2.15–6.24]), and RHE (7.90 [4.93–12.90]). Similarly, OIT (for a 1-h increase) was an independent inverse predictor of HE (0.59 [0.52–0.66]), IVHG (0.72 [0.64–0.81]), and RHE (0.61 [0.54– 0.67]). Blend and island signs were independently associated with HE and RHE (10.60 [7.36–15.30] and 10.10 [7.10–14.60], respectively, for the blend sign and 2.75 [1.64–4.67] and 2.62 [1.60–4.30], respectively, for the island sign). Hypodensities demonstrated low PPVs of 0.41 (110/269) or lower for IVHG when stratified by OIT. When OIT was ≤ 2 h, the PPVs of hypodensities, blend sign, and island sign for RHE were 0.80 (215/269), 0.90 (142/157), and 0.83 (103/124), respectively. Conclusion Hypodensities, blend sign, and island sign were the best NCCT predictors of RHE when OIT was ≤ 2 h. NCCT signs may assist in earlier recognition of the risk of hemorrhagic growth and guide early intervention to prevent neurological deterioration resulting from hemorrhagic growth.

[Objective]To summarize the characteristics and experience of Professor ZHANG Deying in treating acne from the perspective of phlegm syndrome.[Methods]By following the clinical study of Professor ZHANG's clinic,the medical records of acne treatment were sorted out,three typical cases were selected,and combined with the classical theories of traditional Chinese medicine,the unique insights and clinical experience of Professor ZHANG on phlegm syndrome theory were analyzed and summarized.[Results]According to the physical condition of people and the characteristics of acne,Professor ZHANG points out that the etiology and pathogenesis of acne are phlegm heat or phlegm fire invading the head,chest and causing local flesh rot.According to the spleen and stomach of middle-Jiao,the phlegm is a pathogenic factor of soil.In the treatment,the purpose of reducing phlegm can be achieved by reducing soil,multiplying wood to reduce soil and producing metal to eliminate soil,and then using heat-clearing drugs to clear the evil of upper-Jiao phlegm heat and cure acne.At the same time,it should be noted the relationship among the five elements,the phlegm is too excessive,easy to block the kidney water and cause kidney deficiency,the first treatment is reducing phlegm,after the removal of phlegm,tonifying the kidney can be effective,even some patients do not need to be tonified the kidney,and the kidney will slowly recover.[Conclusion]Professor ZHANG has unique understanding of the theory of phlegm syndrome,pointing out that the pathogenesis of acne is mostly phlegm fire or phlegm heat stagnation in the muscle surface,and the flesh rot.The main treatment should be to clear phlegm heat.Phlegm is the pathogenic factor of soil.Besides the method of reducing soil,according to the theory of five elements,there are also methods of multiplying wood to reduce soil and producing metal to eliminate soil.

Objective To investigate the prognostic value of preoperative serum albumin-to-globulin ratio (AGR) and neutrophil-lymphocyte ratio (NLR) in the overall survival (OS) of patients with esophageal squamous cell carcinoma (ESCC), and to establish an individualized nomogram model and evaluate its efficacy, in order to provide a possible evaluation basis for the clinical treatment and postoperative follow-up of ESCC patients. Methods AGR, NLR, clinicopathological and follow-up data of ESCC patients diagnosed via pathology in the Department of Thoracic Surgery, The First Affiliated Hospital of Xinjiang Medical University from 2010 to 2017 were collected. The correlation between NLR/AGR and clinicopathological data were analyzed. Kaplan-Meier analysis and log-rank test were used for survival analysis. The optimal cut-off values of AGR and NLR were determined by X-tile software, and the patients were accordingly divided into a high-level group and a low-level group. At the same time, univariate and multivariate Cox regression analyses were used to identify independent risk factors affecting OS in the ESCC patients, and a nomogram prediction model was constructed and internally verified. The diagnostic efficacy of the model was evaluated by receiver operating characteristic (ROC) curve and calibration curve, and the clinical application value was evaluated by decision curve analysis. Results A total of 150 patients were included in this study, including 105 males and 45 females with a mean age of 62.3±9.3 years, and the follow-up time was 1-5 years. The 5-year OS rate of patients in the high-level AGR group was significantly higher than that in the low-level group (χ2=6.339, P=0.012), and the median OS of the two groups was 25 months and 12.5 months, respectively. The 5-year OS rate of patients in the high-level NLR group was significantly lower than that in the low-level NLR group (χ2=5.603, P=0.018), and the median OS of the two groups was 18 months and 39 months, respectively. Multivariate Cox analysis showed that AGR, NLR, T stage, lymph node metastasis, N stage, and differentiation were independent risk factors for the OS of ESCC patients. The C-index of the nomogram model was 0.689 [95%CI (0.640, 0.740)] after internal validation. The area under the ROC curve of predicting 1-, 3-, and 5-year OS rate was 0.773, 0.724 and 0.725, respectively. At the same time, the calibration curve and the decision curve suggest that the model had certain efficacy in predicting survival and prognosis. Conclusion Preoperative AGR and NLR are independent risk factors for ESCC patients. High level of AGR and low level of NLR may be associated with longer OS in the patients; the nomogram model based on AGR, NLR and clinicopathological features may be used as a method to predict the survival and prognosis of ESCC patients, which is expected to provide a reference for the development of personalized treatment for patients.

Objective To investigate the correlations of computed tomography (CT), clinical, and pathological features in patients with invasive lung adenocarcinoma positive and negative for spread through air spaces (STAS). Methods A total of 236 patients with invasive lung adenocarcinoma confirmed by surgery and pathology were selected, including 118 patients in STAS-positive group and 118 patients in STAS-negative group. The clinical data, CT signs, and pathological features of the two groups were collected and analyzed. Results There was a correlation between age and the occurrence of STAS. The age of the positive group was higher than that of the negative group. Smoking history and family history of tumor had no correlation with the occurrence of STAS. CT features signs such as nodule type and shape, tumor-lung interface, lobulation sign, spiculation sign, vacuole/cavity, air-bronchogram, pleural indentation sign, vascular changes, mean diameter of tumor, mean diameter of solid component, and the percentage of tumor solid components were significantly different between patients with and without STAS. The incidence of STAS in patients with solid nodules and partial solid nodules was significantly higher than that in patients with ground glass nodules. Multivariate analysis showed that the percentage of tumor solid components, air-bronchogram sign, lobulation sign, and tumor-lung interface were independent risk factors for predicting the occurrence of STAS. Conclusion The clinical data and CT signs of patients with invasive lung adenocarcinoma are related to the occurrence of STAS. CT signs such as the percentage of tumor solid components, air-bronchogram, lobulation sign, and tumor-lung interface are of great significance to STAS prediction. Our findings provide an important basis for selection of personalized clinical treatment plans.

Objective:To evaluate the diagnostic value of urine proteomics in interstitial lung disease.Methods:A case control study was conducted. 10 patients (age 56.70±14.78 years) with interstitial lung disease, 9 patients (age 51.30±23.26 years) with pulmonary infection and 10 healthy controls (age 50.20±6.07 years) from the physical examination center were selected from China-Japan Friendship Hospital from March 12 to April 15, 2023. The urine proteomics of three groups of people were studied using Liquid chromatography-mass spectrometry proteomics technology. Based on Data-Independent Acquisition mass spectrometry quantitative technology, three groups of people were compared, and t-test was performed between groups and relevant functional analysis was conducted.Results:A total of 2 730 proteins were identified. Three groups of people can be clearly distinguished by urine proteome using partial least squares discriminant analysis based on orthogonal signal correction. Quantitative comparison of proteins was conducted by the screening criteria for differential proteins with P<0.05 and protein abundance fold changes of>3/2 or<2/3. 49 proteins between interstitial lung disease patients and healthy people, as well as 57 proteins between interstitial lung disease patients and infectious diseases patients, were significantly changed. ECM receptor interaction and complement-coagulation cascade pathways were enriched by GO enrichment and KEGG analysis on differentially expressed proteins. Conclusions:Urinary proteomics can effectively distinguish patients with interstitial lung disease from those with pulmonary infections and the normal population. The differential proteins identified in this experiment have certain diagnostic performance (AUC value 0.68-1.00) and can be used as potential disease markers for the diagnosis of interstitial lung disease.