Objective To explore clinical effect of closed reduction percutaneous elastic intramedullary nail assisted by arthrography in the treatment of radial neck fracture in children.Methods A retrospective analysis was performed on 23 chil-dren with radial neck fracture treated with arthrography assisted closed reduction and percutaneous elastic intramedullary nail internal fixation(arthrography with elastic nail group)from January 2019 to December 2022,including 12 males and 11 fe-males,aged from 2 to 12 years old with an average of(7.36±1.89)years old;According to Judet fracture types,14 children were type Ⅲ and 9 children were type Ⅳ.In addition,23 children with radial neck fracture were selected from January 2015 to December 2018 who were treated with closed reduction and percutaneous elastic intramedullary nail fixation(elastic nail group),including 11 males and 12 females,aged from 2 to 14 years old with an average of(7.50±1.91)years old;Judet classi-fication included 15 children were type Ⅲ and 8 children were type Ⅳ.Operative time and intraoperative fluoroscopy times were compared between two groups.Metaizeau evaluation criteria was used to evaluate fracture reduction,and Tibone-Stoltz evaluation criteria was used to evaluate functional recovery of elbow between two groups.Results Both groups were followed up for 12 to 24 months with an average of(16.56±6.34)months.Operative time and intraoperative fluoroscopy times of elastic nail group were(56.64±19.27)min and(21.13±7.87)times,while those of joint angiography with elastic nail group were(40.33±1 1.50)min and(12.10±3.52)times;there were difference between two groups(P＜0.05).According to Metaizeau evaluation,11 patients got excellent result,9 good and 3 fair in joint angiography with elastic nail group,while in elastic nail group,5 ex-cellent,13 good,4 acceptable,and 1 poor;the difference between two groups was statistically significant(P＜0.05).According to Tibone-Stoltz criteria,14 patients got excellent result,8 good,and 1 fair in joint arthrography with elastic nail group;while in elastic nail group,12 patients got excellent result,9 good,1 fair and 1 poor;there was no significant difference between two groups(P＞0.05).Conclusion Compared to percutaneous elastic intramedullary nail fixation,closed reduction assisted by arthrography has advantages of reduced operation time,decreased intraoperative fluoroscopy frequency,and improved fracture reduction.Arthrography enables clear visualization of the anatomical structures of radius,head,neck,bone,and cartilage in children,facilitating comprehensive display of fracture reduction and brachioradial joint alignment.This technique more pre-cisely guides the depth of elastic intramedullary nail implantation in radius neck,thereby enhancing surgical efficiency and success rate.

Objective:To evaluate the effectiveness of oral-nasal oxygen supply mouth guard in painless gastroscopy for snoring patients.Methods:The snoring patients who underwent painless gastroscopy at two Endoscopy Centers of Shanghai East Hospital, Tongji University in July 2022 were randomly divided into the observation group (using oral-nasal oxygen supply mouth guard) and the control group (using ordinary nasal oxygen tube and mouth guard). Parameters such as the wearing time and the removal time of the mouth guard, lowest pulse oxygen saturation (SpO 2), incidence of hypoxemia, and the satisfaction of medical staff were compared between the two groups. Results:The wearing time of mouth guard was 11.63±0.84 seconds and the removal time was 5.33±0.76 seconds in the observation group ( n=40), which were lower than those in the control group ( n=47) (14.91±1.21 seconds, t=-14.463, P<0.001; 10.38±0.80 seconds, t=-30.095, P<0.001). The wearing satisfaction score was 9.80±0.61, the lowest SpO 2 was (96.70±3.42)%, the removal satisfaction score was 9.75±0.67, and the anesthesiologists' satisfaction score was 9.20±1.42 in the observation group, which were higher than those in the control group [7.70±0.93, t=12.209, P<0.001; (94.06±3.72)%, t=3.417, P=0.001; 7.96±0.98, t=9.803, P<0.001; 8.13±1.35, t=3.615, P=0.001] with significant difference. There was no significant difference in the incidence of hypoxemia [10.00% (4/40) VS 14.89% (7/47), χ2=0.130, P=0.718] and endoscopic physician satisfaction score (9.30±0.97 VS 9.02±1.31, t=1.112, P=0.269) between the two groups. Conclusion:The oral-nasal oxygen supply mouth guard is easy to wear and remove, effectively reducing SpO 2 fluctuations during painless gastroscopy for snoring patients. It can enhance medical staff satisfaction with high clinical value.

OBJECTIVE: To explore the pathogenesis of erythrocytosis by detecting the key enzymes of glucose metabolism and glucose transporter in bone marrow erythrocytes of chronic mountain sickness (CMS), and analyzing its correlation with hemoglobin. METHODS: Twenty CMS patients hospitalized in Qinghai Provincial People's Hospital from January 2019 to December 2020 were selected as CMS group. Twenty males with leukocyte count > 3.5×10⁹/L who had accepted bone marrow aspiration and had normal result were taken as control group. The mRNA and protein expression of key enzymes and glucose transporter in glucose metabolism in bone marrow CD71⁺ erythrocytes were detected by real time qPCR and Western blot, respectively. Glucose, lactic acid and 2,3-diphosphoglycerate in the bone marrow supernatant and serum were tested by ELISA. The mRNA and protein expression of key enzymes and glucose transporter, glucose, lactic acid and 2,3-diphosphoglycerate of the two groups were compared. Pearson correlation was used to analyze the correlation between key enzymes, glucose transporter in glucose metabolism in bone marrow CD71⁺ erythrocytes and hemoglobin. RESULTS: The expression of HK2, GLUT1 and GLUT2 mRNA in the CMS group were higher than those in the control group (P<0.001), while the expression of HK1, OGDH and COX5B mRNA were not different. The expression of HK2, GLUT1 and GLUT2 protein in the CMS group were higher than those in the control group (P<0.05). The levels of glucose and lactic acid in the bone marrow supernatant and serum in the CMS group were not different from those in the control group, while the level of 2,3-diphosphoglycerate was higher (P<0.001). Both HK2 and GLUT2 proteins were positively correlated with hemoglobin (r=0.511, 0.717). CONCLUSION CMS patients may increase glycolysis by increasing the expression of HK2, and promote the utilization of glucose through high expression of GLUT1 and GLUT2 to meet the need of energy supply.
Male ; Humans ; Altitude Sickness/metabolism* ; Glucose Transporter Type 1 ; 2,3-Diphosphoglycerate ; Hemoglobins ; Chronic Disease ; RNA, Messenger ; Phenotype ; Glucose

OBJECTIVE: To explore the effect of electroacupuncture on endometrial receptivity and the pregnancy outcomes of in vitro fertilization and embryo transfer (IVF-ET) in the patients with diminished ovarian reserve (DOR). METHODS: Sixty-eight patients of DOR undertaken IVF-ET were randomized into an observation group (34 cases, 2 cases dropped off) and a control group (34 cases, 1 case dropped off). In the control group, endometrial preparation was performed according to the routine protocol. In the observation group, on the base of the treatment as the control group, acupuncture was applied to Geshu (BL 17), Shenshu (BL 23), Mingmen (GV 4), Shiqizhui (EX-B 8), Ciliao (BL 32), Zhongliao (BL 33), Tianshu (ST 25), Qihai (CV 6) and Guanyuan (CV 4), etc. Electric stimulation was given at Ciliao (BL 32)-Zhongliao(BL 33), Tianshu (ST 25)-Zigong (EX-CA 1), with disperse-dense wave, 2 Hz/15 Hz in frequency and tolerable current in intensity. Electroacupuncture was given once every two days, 3 times weekly, lasing 3 menstrual cycles till 1 day before embryo transfer. The endometrial thickness and morphology were observed on the day of human chorionic gonadotropin (HCG) of egg retrieval cycle, the day of endometrial transformation in frozen-thawed embryo transfer (FET) cycle and the day of embryo transfer in both groups successively; as well as HCG positive rate, clinical pregnancy rate, embryo implantation rate and live birth rate. RESULTS: In the observation group, the proportion of type A endometrium on the embryo transfer day was higher than those on HCG day of the egg retrieval cycle and the endometrial transformation day of FET cycle (P<0.05), and also higher than that of the control group (P<0.01). In the observation group, HCG positive rate, clinical pregnancy rate, embryo implantation rate and live birth rate were 75.0% (24/32), 71.9% (23/32), 47.4% (27/57) and 56.3% (18/32) respectively, and all higher than 36.4% (12/33), 30.3% (10/33), 18.0% (11/61) and 15.2% (5/33) in the control group separately (P<0.01). CONCLUSION Electroacupuncture improves the endometrial receptivity and IVF-ET pregnancy outcomes in the patients of diminished ovarian reserve.
Chorionic Gonadotropin ; Electroacupuncture ; Endometrium ; Female ; Fertilization in Vitro ; Humans ; Ovarian Diseases ; Ovarian Reserve ; Pregnancy ; Pregnancy Outcome ; Pregnancy Rate

Group A Streptococcus (GAS) is a very important pathogen, especially for children.On a global scale, GAS is an important cause of morbidity and mortality.But the burden of disease caused by GAS is still unknown in China and also has not obtained enough attention.For this purpose, the expert consensus is comprehensively described in diagnosis, treatment and prevention of GAS diseases in children, covering related aspects of pneumology, infectiology, immunology, microbiology, cardiology, nephrology, critical care medicine and preventive medicine.Accordingly, the consensus document was intended to improve management strategies of GAS disease in Chinese children.

Objective:To propose and evaluate the cycle-constraint adversarial network (CycleGAN) for enhancing the low-quality fundus images such as the blurred, underexposed and overexposed etc.Methods:A dataset including 700 high-quality and 700 low-quality fundus images selected from the EyePACS dataset was used to train the image enhancement network in this study.The selected images were cropped and uniformly scaled to 512×512 pixels.Two generative models and two discriminative models were used to establish CycleGAN.The generative model generated matching high/low-quality images according to the input low/high-quality fundus images, and the discriminative model determined whether the image was original or generated.The algorithm proposed in this study was compared with three image enhancement algorithms of contrast limited adaptive histogram equalization (CLAHE), dynamic histogram equalization (DHE), and multi-scale retinex with color restoration (MSRCR) to perform qualitative visual assessment with clarity, BRISQUE, hue and saturation as quantitative indicators.The original and enhanced images were applied to the diabetic retinopathy (DR) diagnostic network to diagnose, and the accuracy and specificity were compared.Results:CycleGAN achieved the optimal results on enhancing the three types of low-quality fundus images including the blurred, underexposed and overexposed.The enhanced fundus images were of high contrast, rich colors, and with clear optic disc and blood vessel structures.The clarity of the images enhanced by CycleGAN was second only to the CLAHE algorithm.The BRISQUE quality score of the images enhanced by CycleGAN was 0.571, which was 10.2%, 7.3%, and 10.0% higher than that of CLAHE, DHE and MSRCR algorithms, respectively.CycleGAN achieved 103.03 in hue and 123.24 in saturation, both higher than those of the other three algorithms.CycleGAN took only 35 seconds to enhance 100 images, only slower than CLAHE.The images enhanced by CycleGAN achieved accuracy of 96.75% and specificity of 99.60% in DR diagnosis, which were higher than those of oringinal images.Conclusions:CycleGAN can effectively enhance low-quality blurry, underexposed and overexposed fundus images and improve the accuracy of computer-aided DR diagnostic network.The enhanced fundus image is helpful for doctors to carry out pathological analysis and may have great application value in clinical diagnosis of ophthalmology.

Objective:To evaluate the efficiency of ResNet50-OC model based on deep learning for multiple classification of color fundus photographs.Methods:The proprietary dataset (PD) collected in July 2018 in BenQ Hospital of Nanjing Medical University and EyePACS dataset were included.The included images were classified into five types of high quality, underexposure, overexposure, blurred edges and lens flare according to clinical ophthalmologists.There were 1 000 images (800 from EyePACS and 200 from PD) for each type in the training dataset and 500 images (400 from EyePACS and 100 from PD) for each type in the testing dataset.There were 5 000 images in the training dataset and 2 500 images in the testing dataset.All images were normalized and augmented.The transfer learning method was used to initialize the parameters of the network model, on the basis of which the current mainstream deep learning classification networks (VGG, Inception-resnet-v2, ResNet, DenseNet) were compared.The optimal network ResNet50 with best accuracy and Micro F1 value was selected as the main network of the classification model in this study.In the training process, the One-Cycle strategy was introduced to accelerate the model convergence speed to obtain the optimal model ResNet50-OC.ResNet50-OC was applied to multi-class classification of fundus image quality.The accuracy and Micro F1 value of multi-classification of color fundus photographs by ResNet50 and ResNet50-OC were evaluated.Results:The multi-classification accuracy and Micro F1 values of color fundus photographs of ResNet50 were significantly higher than those of VGG, Inception-resnet-v2, ResNet34 and DenseNet.The accuracy of multi-classification of fundus photographs in the ResNet50-OC model was 98.77% after 15 rounds of training, which was higher than 98.76% of the ResNet50 model after 50 rounds of training.The Micro F1 value of multi-classification of retinal images in ResNet50-OC model was 98.78% after 15 rounds of training, which was the same as that of ResNet50 model after 50 rounds of training.Conclusions:The proposed ResNet50-OC model can be accurate and effective in the multi-classification of color fundus photograph quality.One-Cycle strategy can reduce the frequency of training and improve the classification efficiency.

Propolis is a bee wax rich in various phytocomponents and traditionally used to treat various ailments. Propolis is reported to possess an array of biological properties including anti-inflammatory, antioxidant, anti-cancer, and anti-diabetic as well as cardioprotective, hepatoprotective, renoprotective, and derma protective activities. A plethora of studies confirmed that propolis is effective against various types of cancer including head and neck, lung, liver, brain (glioma), pancreas, kidney, prostate, skin (melanoma), breast, oral, esophagus, gastric, colorectal, and bladder cancers. However, many researchers have demonstrated that propolis displays potent chemoprotective/chemopreventive or anti-cancer activity against only a few types of cancers like oral, gastrointestinal, dermal (melanoma), breast, and prostate cancers. Therefore, this mini-review only summarizes the chemopreventive/chemotherapeutic activities of propolis and its updated underlying mechanisms. Taken together, propolis displays potent chemoprotective or anti-cancer effect due to the presence of various phytocomponents which contribute to pro-apoptotic, cytotoxic, anti-proliferative (cell cycle arrest), anti-metastatic, anti-invasive, anti-angiogenic and anti-genotoxic or anti-mutagenic properties along with antioxidant, immunomodulatory, and anti-inflammatory functions. Hence, propolis could be used as an adjuvant for treating various cancers along with standard chemotherapeutic drugs. However, many large-scale clinical studies are needed to justify such applications.

Objective To propose a deep learning-based retinal image quality classification network, FA-Net,to make convolutional neural network ( CNN) more suitable for image quality assessment in eye disease screening system. Methods The main network of FA-Net was composed of VGG-19. On this basis,attention mechanism was added to the CNN. By using transfer learning method in training, the weight of ImageNet was used to initialize the network. The attention net is based on foreground extraction by extracting the blood vessel and suspected regions of lesion and assigning higher weights to region of interest to enhance the learning of these important areas. Results Total of 2894 fundus images were used for training FA-Net. FA-Net achieved 97. 65％ classification accuracy on a test set containing 2170 fundus images,with the sensitivity and specificity of 0. 978 and 0. 960,respectively,and the area under curve(AUC) was 0. 995. Conclusions Compared with other CNNs,the proposed FA-Net has better classification performance and can evaluate retinal fundus image quality more accurately and efficiently. The network takes into account the human visual system ( HVS) and human attention mechanism. By adding attention module into the VGG-19 network structure, the classification results can be better interpreted as well as better classification performance.

Objective: To synthesize and analyze ¹⁸F-prostate specific membrane antigen (PSMA)-1007, followed by its imaging in prostate cancer. Methods: Based on one-step method, ¹⁸F-PSMA-1007 was produced by the CFN-MPS-200 automatic synthesis module and its quality analysis was conducted. ¹⁸F-PSMA-1007 PET/CT imaging was performed in a prostate cancer patient (66 years old). Results: The synthesis time of ¹⁸F-PSMA-1007 was about 50 min, and the radiochemical yield was (25.0±5.0) % (attenuation correction, n=3). The radiochemical purity was above 99.0% and was above 98.0% after 6 h. The product was colorless transparent solution with pH value of 7.0-7.5, and the specific activity was (410.0±11.0) MBq/ml and the radioactive nuclear purity was above 99.0%. PET/CT imaging in the patient showed that ¹⁸F-PSMA-1007 was highly concentrated in prostate cancer with maximum standardized uptake value (SUV_max) of 40.9. Conclusion Based on CFN-MPS-200 multifunction synthesis module, ¹⁸F-PSMA-1007 can be stably synthesized with high radiochemical yield and can be concentrated in prostate cancer.