Objective To investigate the therapeutic efficacy of combining fractional CO2 laser with triam-cinolone acetonide and econazole nitrate cream for the treatment of vulvar lichen sclerosus(VLS).Methods The clinical data of 113 patients with vulvar lichen sclerosus(VLS)were retrospectively analyzed.The patients were divided into an observation group and a control group based on different treatments received.Clinical symptoms(vulvar itching,painful intercourse)and signs(vulvar skin color,vulvar skin elasticity,range of vulvar lesions)were scored using the Cattaneo scoring criteria.The Cattaneo scores before and after treatment were recorded for each patient,and comparisons were made between groups in terms of Cattaneo scores and occurrence of adverse reac-tions.The therapeutic efficacy of fractional CO2 laser combined with triamcinolone acetonide and econazole nitrate cream was evaluated.Results After three treatments,both groups exhibited a significant decrease in Cattaneo scores,with a statistically significant difference(P<0.05).The study group demonstrated a significantly greater reduction in Cattaneo scores compared to the control group(P<0.05).Furthermore,the cure rate of VSL was higher in the study group than in the control group(25.86%vs.10.91%,P<0.05).Regarding adverse effects,there was no statistically significant difference between the two groups(P>0.05).Conclusions Compared to the single application of fractional CO2 laser,the combination of fractional CO2 laser with triamcinolone acetonide and econazole nitrate cream demonstrates enhanced efficacy in alleviating signs and symptoms among patients with vulvar sclerosing tundra,while minimizing adverse reactions.This approach holds significant potential for clinical implementation.

Objective:To develop and evaluate an unsupervised intensity-modulated radiation therapy (IMRT) automated planning scheme for the Eclipse commercial treatment planning system (TPS), aiming to simulate the manual operation during the whole optimization process.Methods:A retrospective analysis was performed on 25 gastric cancer patients aged 40-60 years who had completed radiotherapy in Zhejiang Cancer Hospital from March 2022 to March 2023. All patients were divided into the training ( n=7) and test sets ( n=18). All patients were treated with the same clinically prescribed dose standard: 45 Gy/25 times. Abdominal CT scan was performed using Philips simulator with a thickness of 5 mm. Based on the deep reinforcement learning (DRL) framework, a multi-agent optimization policy network (MOPN) was proposed to simulate the process of clinical manual planning design and obtain high quality automatic planning according to adjusting multiple optimization objectives. The automatic plan for all cases was generated by code programming using the eclipse scripting application program interface (ESAPI). Wilcoxon signed rank test was used to investigate the significance of the difference between automatic planning and clinical manual planning. Results:After the initial optimization objectives were adjusted by MOPN, the average plan score of all automatic plans was increased from 576.1±221.2 to 1852.8±294.9. Compared with clinical manual plans, the average D max of the spinal cord, the average D mean and V 5 Gy of the liver in the MOPN plans were reduced by 21.4%, 9.8% and 11.5%, respectively. Conclusions:With the help of ESAPI tool, MOPN can realize data interaction with TPS and the automation of IMRT treatment plan for gastric cancer. The trained MOPN can mimic the manual operation of the planner to adjust multiple optimization objectives and gradually improve the plan quality.

Objective:To study the improvement of normal tissue region of interest (ROI) segmentation based on clustering-based multi-Atlas segmentation method, thereby achieving better delineation of organs at risk.Methods:CT images of 100 patients with cervical cancer who had completed treatment in Zhejiang Cancer Hospital during 2019-2020 were selected as the Atlas database. According to the volume characteristic parameters of the organs at risk (bladder, rectum and outer contour), the Atlas database was divided into several subsets by k-means clustering algorithm. The image to be segmented was matched to the corresponding Atlas library for multi-Atlas segmentation. The dice similarity coefficient (DSC) was used to evaluate the segmentation results.Results:Using 30 patients as the test set, the sub-Atlas generated by different clustering methods were compared for the improvement of image segmentation results. Compared with general multi-Atlas segmentation methods, clustering-based multi-Atlas segmentation method significantly improve the segmentation accuracy for the bladder (DSC=0.83±0.09 vs. 0.69±0.15, P<0.001) and the rectum (0.7±0.07 vs. 0.56±0.16, P<0.001), but no statistical significance was observed for left and right femoral head (0.92±0.04, 0.91±0.02) and bone marrow (0.91±0.06). The average segmentation time of clustering-based multi-Atlas segmentation method was shorter than that of the general multi-Atlas segmentation method (2.7 min vs. 6.3 min). Conclusion:The clustering-based multi-Atlas segmentation method can not only reduce the number of Atlas images registered with the image to be segmented, but also can be expected to improve the segmentation effect and obtain higher accuracy.

ObjectiveTo investigate the mediating role of loneliness and social anxiety in the relationship between basic psychological needs satisfaction and smartphone addiction among high school students， and to provide references for the intervention to smartphone addiction for high school students. MethodsIn April 2022， a total of 14 666 high school students from 5 middle schools in a county of Sichuan Province were included by random sampling method. Basic Psychological Needs Scales （BPNS）， the UCLA Loneliness Scale-3 edition （UCLA-3）， Interaction Anxiousness Scale （IAS） and the Mobile Phone Addiction Index （MPAI） were used for cross-sectional investigation. Bootstrap method was used to analyze the mediating role of loneliness and social anxiety in the relationship between the basic psychological needs satisfaction and smartphone addiction. Results① In this study， 14 036 valid questionnaires were returned， and 1 752 （12.48%， 95% CI： 0.114~0.136） high school students were found to be addicted to smartphone phone. The BPNS score was negatively correlated with UCLA-3， IAS and MPAI scores （r=-0.771， -0.486， -0.417， P<0.01）. And MPAI score was positively correlated with IAS and UCLA-3 scores （r=0.403， 0.424， P<0.01）. IAS score was positively correlated with UCLA-3 score （r=0.458， P<0.01）. ②The degree of basic psychological needs satisfaction in high school students can directly negatively predict smartphone addiction （β=-0.383， P<0.05）， and can also indirectly affect smartphone addiction through loneliness and social anxiety （β=-0.130， P<0.05）. ③Loneliness （indirect effect value was -0.145） and social anxiety （indirect effect value was -0.074） partially mediate between the basic psychological needs satisfaction and smartphone addiction. Loneliness-social anxiety also has significant chain mediating effect （indirect effect value was -0.034）， which accounted for 8.88%. ConclusionThe basic psychological needs satisfaction can not only directly affect the occurrence of smartphone addiction， but also indirectly affect the occurrence of smartphone addiction through the chain mediation of loneliness and social anxiety.

Objective:To dynamically monitor the pediatric sequential organ failure assessment(pSOFA) score of children in PICU at different time points, and to evaluate the predictive value of pSOFA score for the prognosis of children with sepsis.Methods:A multicenter prospective observational study was conducted to collect the data of children with sepsis admitted to the PICU of four children′s hospitals in Shanghai from December 2018 to December 2019(Children′s Hospital of Fudan University, Shanghai Children′s Medical Center Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai Children′s Hospital Affiliated to Shanghai Jiaotong University School of Medicine, and Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine). We collected their pSOFA scores on the 1st, 3rd, and 7th day after sepsis diagnosis and the highest score.The patients were divided into survival group and death group according to the clinical outcomes at the time of leaving PICU.The clinical characteristics of two groups were compared.Receiver operating characteristic(ROC) curve were used to assess the resolution of the pSOFA score.Logistic regression was used to analyze the relationship between pSOFA score and sepsis mortality.Results:A total of 170 cases diagnosed sepsis were included, with a median age of 32.5(11.5, 83.2) months, and a median length of stay in PICU of 10(6, 21) days.Forty-two died and 128 survived.The medians of the 1st, 3rd, 7th day and the highest pSOFA score of the children in death group[10(7, 12) points, 9(5, 10) points, 7(4, 10) points, 11(7, 12) points, respectively] were higher than those in survival group[4(2, 8) points, 3(1, 6) points, 2(0, 5) points, 6(3, 8) points, respectively]( P<0.05). The area under the ROC curve of the pSOFA score predicting death on day 1 after sepsis diagnosis was greater than that on days 3, 7 and the highest pSOFA score[0.84(95% CI 0.79-0.91) vs.0.80(95% CI 0.71-0.89), 0.77(95% CI 0.65-0.89), 0.83(95% CI 0.77-0.90)], but the difference was not statistically significant( χ2=1.660, P=0.646). The pSOFA score on the first day of diagnosis had the best cut-off value of >6 points for predicting the risk of death from sepsis, with a sensitivity of 97.6% and a specificity of 53.9%.Logistic regression analysis of pSOFA score and childhood sepsis death showed that the OR values corresponding to the 1st, 3rd, 7th day of diagnosis and the highest pSOFA score were 1.58(95% CI 1.350-1.840), 1.39(95% CI 1.218-1.595), 1.38(95% CI 1.184-1.617) and 1.55(95% CI 1.333-1.800), respectively(all P<0.05). The 1-point increase in pSOFA score on the first day of diagnosis of sepsis was associated with a 58% increase in the hazard ratio for death, and each 1-point increase in the highest pSOFA score was associated with a 55% increase in the hazard ratio for death. Conclusion:The 1st, 3rd, 7th day of sepsis diagnosis and the highest pSOFA score could better predict the mortality risk of sepsis in children.Dynamic monitoring of the pSOFA score at different time points has a certain clinical value in predicting the progression and prognosis of children with sepsis.

Objective:To summarize the experience on accurate prevention and control of children′s emergency department during the epidemic of novel coronavirus Omicron variant.Methods:We retrospectively analyzed the strategies and management experience of emergency prevention and control of novel coronavirus infection in emergency department at Children′s Hospital of Fudan University from March to May 2022.Results:As a designated hospital for treating pediatric patients who contracted novel coronavirus in Shanghai, the emergency department in our hospital was confronted with the dual pressure of critical patients treatment and pandemic prevention and control.We carefully studied a series of laws and regulations, as well as the newest edition of Chinese clinical guidance for novel coronavirus pneumonia diagnosis and treatment, and combined with the characteristics of novel coronavirus infection in children, then formulated the independent emergency department, fever clinics and novel coronavirus clinics; Updated the emergency department pre-examination triage process, the precautions pratice of clinical stuffs and disfection strategy, and established the second emergency department.From the beginning of March to the end of May 2022, a total of about 12 000 patients were admitted to the emergency department in our hospital, including 704 patients in the resuscitation room, 652 patients in the observation room, and 164 patients in the emergency ward.There were six patients with novel coronavirus infection in the emergency department.Neither nosocomial infection nor occupational exposure occurred.Conclusion:After 3 months of practice, the results showed that it can fully guarantee the timely treatment of critically ill children and achieved zero cross-infection in the hospital, which has important reference significance for the treatment of children, epidemic prevention, control during the novel coronavirus epidemic.

Lateral epicondylitis is a common clinical disease with characteristics of lateral elbow pain, insidious onset and easy recurrence, which can cause forearm pain and decreased wrist strength, seriously affecting patients′ daily life and work. Although there are various treatment methods for lateral epicondylitis with different effects, standard treatments are still lacking nowadays. Platelet-rich plasma (PRP) has good effects on bone and tendon repair, and is now widely used in the treatment of lateral epicondylitis. However, there is a lack of a unified understanding of the technology and specifications of PRP in the treatment of lateral epicondylitis. Therefore, the Sports Medicine Branch of the Chinese Medical Association and Physical Medicine and Rehabilitation Branch of the Chinese Medical Association organized experts in the fields of sports medicine and rehabilitation medicine in China to formulate the "clinical expert consensus on platelet-rich plasma treatment for lateral epicondylitis (2022 version)", and proposed suggestions based on evidence-based medicine mainly from the concept, epidemiology and pathophysiology of lateral epicondylitis, symptoms, signs and imaging manifestations of lateral epicondylitis, PRP concept and application component requirements, quality control of PRP preparation technology, indications and contraindications of PRP in the treatment of lateral epicondylitis, PRP injection in the treatment of lateral epicondylitis, application of PRP in the operation of lateral epicondylitis, related problems after PRP treatment of lateral epicondylitis, evaluation of the results after PRP treatment of lateral epicondylitis, and health and economic evaluation of PRP treatment of lateral epicondylitis, so as to provide guidance for clinical diagnosis and treatment.

Objective:Topredict the three-dimensional dose distribution of regions of interest (ROI) with brachytherapy for cervical cancer based on U-Net fully convolutional network, and evaluate the accuracy of prediction model.Methods:First, 100 cases of cervical cancer intracavity combined with interstitial implantation were selected as the entire research data set, and divided into the training set ( n=72), validation set ( n=8), and test set ( n=20). Then the U-Net was used to construct two models based on whether the uterine tandem and the implantation needles were included as the distinguishing factors. Finally, dose distribution of 20 cases in the test set were predicted using the trained model, and comparative analysis was performed. The performance of the model was jointly evaluated by , and the mean absolute deviation (MAD). Results:Compared with the model without the uterine tandem and the implantation needles, the of the rectum was increased by (16.83±1.82) cGy ( P<0.05), and the or of the other ROI were not different significantly (all P>0.05). The MAD of the high-risk clinical target volume, rectum, sigmoid, small bowel, and bladder was increased by (11.96±3.78) cGy, (11.43±0.54) cGy, (24.08±1.65) cGy, (17.04±7.17) cGy and (9.52±4.35) cGy, respectively (all P<0.05). The MAD of the intermediate-risk clinical target volume was decreased by (120.85±29.78) cGy ( P<0.05). The mean value of MAD for all ROI was decreased by (7.8±53) cGy ( P<0.05), which was closer to the actual plan. Conclusions:U-Net fully convolutional network can be used to predict three-dimensional dose distribution of patients with cervical cancer undergoing brachytherapy. Combining the uterine tube with the implantation needles as the input parameters yields more accurate predictions than a single use of the ROI structure as the input.

Objective:To evaluate the application of a multi-task learning-based light-weight convolution neural network (MTLW-CNN) for the automatic segmentation of organs at risk (OARs) in thorax.Methods:MTLW-CNN consisted of several layers for sharing features and 3 branches for segmenting 3 OARs. 497 cases with thoracic tumors were collected. Among them, the computed tomography (CT) images encompassing lung, heart and spinal cord were included in this study. The corresponding contours delineated by experienced radiation oncologists were ground truth. All cases were randomly categorized into the training and validation set ( n=300) and test set ( n=197). By applying MTLW-CNN on the test set, the Dice similarity coefficients (DSCs) of 3 OARs, training and testing time and space complexity (S) were calculated and compared with those of Unet and DeepLabv3+ . To evaluate the effect of multi-task learning on the generalization performance of the model, 3 single-task light-weight CNNs (STLW-CNNs) were built. Their structures were totally the same as the corresponding branches in MTLW-CNN. After using the same data and algorithm to train STLW-CNN, the DSCs were statistically compared with MTLW-CNN on the testing set. Results:For MTLW-CNN, the averages (μ) of lung, heart and spinal cord DSCs were 0.954, 0.921 and 0.904, respectively. The differences of μ between MTLW-CNN and other two models (Unet and DeepLabv3+ ) were less than 0.020. The training and testing time of MTLW-CNN were 1/3 to 1/30 of that of Unet and DeepLabv3+ . S of MTLW-CNN was 1/42 of that of Unet and 1/1 220 of that of DeepLabv3+ . The differences of μ and standard deviation (σ) of lung and heart between MTLW-CNN and STLW-CNN were approximately 0.005 and 0.002. The difference of μ of spinal cord was 0.001, but σof STLW-CNN was 0.014 higher than that of MTLW-CNN.Conclusions:MTLW-CNN spends less time and space on high-precision automatic segmentation of thoracic OARs. It can improve the application efficiency and generalization performance of the models.

As a common pathogen, pulmonary mycoplasma in children will lead to various clinical manifestations, involving hematologic, alimentary, and central nervous systems injuries except for respiratory system, and develop many kinds of extra-pulmonary complications.Here in some rare complications accompanied by mycoplasma infection will be elucidated to enforce the understanding, early reorganization, then ameliorate the outcomes.