Objective:To explore the clinical application value of convolutional neural network（CNN）based on deep learning in the automatic measurement of dynamic pelvic floor ultrasound video parameters and the diagnosis and classification of cystocele.Methods:A retrospective analysis was conducted on dynamic pelvic floor ultrasound videos from 398 postpartum women who underwent examinations at the First People's Hospital of Foshan between June 2020 and June 2022. The lowest point of the posterior bladder wall（PWB），urethral rotation angle（URA），and retrovesical angle（RVA）were manually measured by a senior radiologist（R1）and a junior radiologist（R2），and cystocele was classified according to the Green standard. The CNN model was employed to automatically extract the above parameters and to diagnose and classify cystocele. Using R1 measurements as a reference，intraclass correlation coefficient（ICC）was used to evaluate the consistency between the CNN model and R1，as well as between R2 and R1. The Kappa value was used to assess the agreement between the CNN model，R2，and R1 in the diagnosis and classification of cystocele. Additionally，the time consumption of the three measurement methods was compared.Results:The CNN model showed good consistency with R1 in measuring PWB and URA（ICC = 0.983，0.894），while its consistency in measuring RVA was moderate（ICC = 0.614）. The ICC between R2 and R1 in measuring PWB，URA，and RVA was 0.979，0.815，and 0.627，respectively. In the measurement of PWB and URA，the consistency between the CNN model and R1 was superior to that between R2 and R1. For cystocele diagnosis，the Kappa value between the CNN model and R1 was 0.924，which was higher than that between R2 and R1（0.904）. In cystocele classification，the Kappa value between the CNN model and R1 was 0.503，also higher than that between R2 and R1（0.426）. The CNN model processed a single video in 2.5（0.6）s，significantly faster than R1［59.9（16.9）s］and R2［56.8（11.2）s］（all P < 0.001）. Conclusions:The CNN model demonstrates high accuracy and efficiency in the measurement，diagnosis，and classification of cystocele，outperforming a junior radiologist and showing potential for clinical application.

Objective:The clinicopathological features of pulmonary epithelioid hemangioendothelioma (PEHE) were analyzed to provide guidance for clinical practice.Methods:The clinical manifestations, imaging examination, pathological morphology and molecular characteristics, treatment and prognosis of patients with pulmonary epithelioid hemangioendothelioma were retrospectively collected. All cases were admitted to Fujian Medical University Union Hospital from January 2012 to May 2023.Results:Of 7 PEHE cases, 2 underwent tumor biopsy and 5 underwent tumor resection. There were 4 males and 3 females, with a median age of 58 years old. Six cases showed multiple bilateral nodules, and only one case showed a single lesion in the lower left lung lobe. Five patients presented with respiratory symptoms, like cough, sputum, hemoptysis, shortness of breath. There were round-like solid lesions with clear border and homogeneous density on lung CT. Histologically, it showed nodular growth with a distinctive myxohyaline stroma. Necrosis was seen in the center of some cases. Epithelioid tumor cells were arranged in cords, solid pattern or single cells, with abundant eosinophilic cytoplasm and occasional intracytoplasmic vacuoles. The plasmacytoid nucleus were round to oval in shape with obvious nucleoli, minimal pleomorphism and few mitoses. The tumor cells were positive for vascular endothelial markers: CD31 (7/7), CD34 (5/7), ERG (6/6), and Fli-1 (5/6); CKpan was focally positive in 3 cases (3/7), and TFE3 in 2 cases. Ki-67 index ranged from 5% to 10%. Additionally, the tumor cells partially express PD-L1 in two cases. Moreover, lung carcinoma-related gene detection was negative in one case. The TFE3 break-apart probe in two cases did not display a split signal. In terms of treatment, 4 cases were treated with surgery, 1 case was treated with chemotherapy and surgery, and 2 cases were follow-up observation. After the median 34.4 months follow-up time, one was lost to follow-up, six were survived. Their CT scans showed slight enlargement of pulmonary nodules without other organ metastases.Conclusions:PEHE is a rare vascular-derived tumor, which is usually characterized by multiple solid bilateral nodules with slow growth. It tends to lack specific clinical symptoms, and is prone to be misdiagnosed as a metastatic carcinoma. Diagnosis primarily rely on pathology, with the use of an immunohistochemical package being crucial for definitive and differential diagnosis.

Objective:To explore the clinical application value of convolutional neural network（CNN）based on deep learning in the automatic measurement of dynamic pelvic floor ultrasound video parameters and the diagnosis and classification of cystocele.Methods:A retrospective analysis was conducted on dynamic pelvic floor ultrasound videos from 398 postpartum women who underwent examinations at the First People's Hospital of Foshan between June 2020 and June 2022. The lowest point of the posterior bladder wall（PWB），urethral rotation angle（URA），and retrovesical angle（RVA）were manually measured by a senior radiologist（R1）and a junior radiologist（R2），and cystocele was classified according to the Green standard. The CNN model was employed to automatically extract the above parameters and to diagnose and classify cystocele. Using R1 measurements as a reference，intraclass correlation coefficient（ICC）was used to evaluate the consistency between the CNN model and R1，as well as between R2 and R1. The Kappa value was used to assess the agreement between the CNN model，R2，and R1 in the diagnosis and classification of cystocele. Additionally，the time consumption of the three measurement methods was compared.Results:The CNN model showed good consistency with R1 in measuring PWB and URA（ICC = 0.983，0.894），while its consistency in measuring RVA was moderate（ICC = 0.614）. The ICC between R2 and R1 in measuring PWB，URA，and RVA was 0.979，0.815，and 0.627，respectively. In the measurement of PWB and URA，the consistency between the CNN model and R1 was superior to that between R2 and R1. For cystocele diagnosis，the Kappa value between the CNN model and R1 was 0.924，which was higher than that between R2 and R1（0.904）. In cystocele classification，the Kappa value between the CNN model and R1 was 0.503，also higher than that between R2 and R1（0.426）. The CNN model processed a single video in 2.5（0.6）s，significantly faster than R1［59.9（16.9）s］and R2［56.8（11.2）s］（all P < 0.001）. Conclusions:The CNN model demonstrates high accuracy and efficiency in the measurement，diagnosis，and classification of cystocele，outperforming a junior radiologist and showing potential for clinical application.

Objective:The clinicopathological features of pulmonary epithelioid hemangioendothelioma (PEHE) were analyzed to provide guidance for clinical practice.Methods:The clinical manifestations, imaging examination, pathological morphology and molecular characteristics, treatment and prognosis of patients with pulmonary epithelioid hemangioendothelioma were retrospectively collected. All cases were admitted to Fujian Medical University Union Hospital from January 2012 to May 2023.Results:Of 7 PEHE cases, 2 underwent tumor biopsy and 5 underwent tumor resection. There were 4 males and 3 females, with a median age of 58 years old. Six cases showed multiple bilateral nodules, and only one case showed a single lesion in the lower left lung lobe. Five patients presented with respiratory symptoms, like cough, sputum, hemoptysis, shortness of breath. There were round-like solid lesions with clear border and homogeneous density on lung CT. Histologically, it showed nodular growth with a distinctive myxohyaline stroma. Necrosis was seen in the center of some cases. Epithelioid tumor cells were arranged in cords, solid pattern or single cells, with abundant eosinophilic cytoplasm and occasional intracytoplasmic vacuoles. The plasmacytoid nucleus were round to oval in shape with obvious nucleoli, minimal pleomorphism and few mitoses. The tumor cells were positive for vascular endothelial markers: CD31 (7/7), CD34 (5/7), ERG (6/6), and Fli-1 (5/6); CKpan was focally positive in 3 cases (3/7), and TFE3 in 2 cases. Ki-67 index ranged from 5% to 10%. Additionally, the tumor cells partially express PD-L1 in two cases. Moreover, lung carcinoma-related gene detection was negative in one case. The TFE3 break-apart probe in two cases did not display a split signal. In terms of treatment, 4 cases were treated with surgery, 1 case was treated with chemotherapy and surgery, and 2 cases were follow-up observation. After the median 34.4 months follow-up time, one was lost to follow-up, six were survived. Their CT scans showed slight enlargement of pulmonary nodules without other organ metastases.Conclusions:PEHE is a rare vascular-derived tumor, which is usually characterized by multiple solid bilateral nodules with slow growth. It tends to lack specific clinical symptoms, and is prone to be misdiagnosed as a metastatic carcinoma. Diagnosis primarily rely on pathology, with the use of an immunohistochemical package being crucial for definitive and differential diagnosis.

Objective To construct a risk prediction score model for serious adverse event (SAE) after cardiac catheterization in patients with adult congenital heart disease (ACHD) and pulmonary hypertension (PH) and verify its predictive effect. Methods The patients with PH who underwent cardiac catheterization in Wuhan Asian Heart Hospital Affiliated to Wuhan University of Science and Technology from January 2018 to January 2022 were retrospectively collected. The patients were randomly divided into a model group and a validation group according to the order of admission. The model group was divided into a SAE group and a non-SAE group according to whether SAE occurred after the catheterization. The data of the two groups were compared, and the risk prediction score model was established according to the results of multivariate logistic regression analysis. The discrimination and calibration of the model were evaluated using the area under the receiver operating characteristic (ROC) curve and the Hosmer-Lemeshow test, respectively. Results A total of 758 patients were enrolled, including 240 (31.7%) males and 518 (68.3%) females, with a mean age of 43.1 (18.0-81.0) years. There were 530 patients in the model group (47 patients in the SAE group and 483 patients in the non-SAE group) and 228 patients in the validation group. Univariate analysis showed statistical differences in age, smoking history, valvular disease history, heart failure history, N-terminal pro-B-type natriuretic peptide, and other factors between the SAE and non-SAE groups (P<0.05). Multivariate analysis showed that age≥50 years, history of heart failure, moderate to severe congenital heart disease, moderate to severe PH, cardiac catheterization and treatment, surgical general anesthesia, and N-terminal pro-B-type natriuretic peptide≥126.65 pg/mL were risk factors for SAE after cardiac catheterization for ACHD-PH patients (P<0.05). The risk prediction score model had a total score of 0-139 points and patients who had a score>50 points were high-risk patients. Model validation results showed an area under the ROC curve of 0.937 (95%CI 0.897-0.976). Hosmer-Lemeshow goodness-of-fit test: χ2=3.847, P=0.797. Conclusion Age≥50 years, history of heart failure, moderate to severe congenital heart disease, moderate to severe PH, cardiac catheterization and treatment, general anesthesia for surgery, and N-terminal pro-B-type natriuretic peptide≥126.65 pg/mL were risk factors for SAE after cardiac catheterization for ACHD-PH patients. The risk prediction model based on these factors has a high predictive value and can be applied to the risk assessment of SAE after interventional therapy in ACHD-PH patients to help clinicians perform early intervention.

Objective:In order to explore the impact of corona virus disease 2019(COVID-19)on the hospitalization of children with bronchiolitis and to improve clinicians′ understanding of the characteristics of bronchiolitis during the COVID-19 epidemic.Methods:This was a multicenter clinical study, and the data have been collected from 23 children′s medical centers in China.All the clinical data were retrospectively collected from children with bronchiolitis who were hospitalized at each study center from January 1, 2019 to December 31, 2021.The results included gender, age at hospitalization, length of stay, respiratory syncytial virus(RSV) test results, severity rating, ICU treatment, and the total number of children hospitalized with respiratory tract infection during the same period.The clinical data of children with bronchiolitis in 2019 before COVID-19 epidemic and in 2020、2021 during COVID-19 epidemic were statistically analyzed and compared.Results:According to a summary of data provided by 23 children′s medical centers, there were 4 909 cases of bronchiolitis in 2019, 2 654 cases in 2020, and 3 500 cases in 2021.Compared with 2019, the number of bronchiolitis cases decreased by 45.94% in 2020 and 28.70% in 2021.In 2019, 2020 and 2021, there were no significant differences in gender ratio, age, and duration of hospitalization.Compared with 2019, the ratio of bronchiolitis to the total number of hospitalizations for respiratory tract infection decreased significantly in 2020 and 2021( χ2=12.762, P<0.05; χ2=84.845, P<0.05).The proportion of moderate to severe bronchiolitis cases in both 2020 and 2021 was lower than that in 2019, and the difference was statistically significant ( χ2=4.054, P<0.05; χ2=8.109, P<0.05).There was no statistically significant difference in the proportion of bronchiolitis cases requiring ICU treatment between 2019, 2020, and 2021 ( χ2=1.914, P>0.05).In 2019, a total of 52.60%(2 582/4 909) of children with bronchiolitis underwent RSV pathogen testing, and among them, there were 708 cases with RSV positive, accounting for 28.00%.In 2020, 54.14%(1 437/2 654) of children with bronchiolitis underwent RSV pathogen testing, and there were 403 cases with RSV positive, accounting for 28.04%.In 2021, 66.80%(2 238/3 500) of children with bronchiolitis underwent RSV pathogen testing, and there were 935 cases with RSV positive, accounting for 41.78%.Compared with 2019 and 2020, the RSV positive rate in 2021 showed a significant increase( χ2=99.673, P<0.05; χ2=71.292, P<0.05). Conclusion:During the COVID-19 epidemic, the implementation of epidemic prevention and control measures reduced the hospitalization rate and severity of bronchiolitis, but did not reduce the positive rate of RSV detection.

Objective:To investigate the significance of clinical factors combined with transvaginal ultrasound and contrast-enhanced ultrasound(CEUS) in guiding the choice of treatment plan for cesarean scar pregnancy(CSP).Methods:The clinical and transvaginal ultrasound and CEUS data of 120 patients with CSP from January 2016 to June 2021 in the First People′s Hospital of Foshan were retrospectively analyzed, and they were divided into ultrasound-guided curettage/ hysteroscopic group (Group A, 91 cases) and laparoscopic group (Group B, 29 cases) according to treatment option, and the differences in clinical and ultrasound factors between the two groups were compared, and to determine the relevant clinical and ultrasound indicators for the choice of treatment option.Results:There were statistical differences between the 2 groups in comparison of whether the gestational sac/mass protruded toward the plasma membrane, gestational sac/mass diameter, the main blood supply site of the gestational sac/mass, the site of the chorion/early placenta and scar thickness (all P<0.05). Logistic regression analysis indicated that CEUS showing major blood supply site of the gestational sac/mass ( OR=6.029, P=0.003) and uterine scar thickness ( OR=12.998, P=0.002) were independent risk factors for minimally invasive surgery for CSP. Conclusions:Ultrasound combined with clinical factors have a certain value in the selection of treatment options for CPS, and the thickness of the uterine scar and the main blood supply site of the gestational sac/mass showed in CEUS may be key factors affecting the minimally invasive surgical treatment of CSP.

Objective To investigate the feasibility and accuracy of transperineal real‐time three‐dimensional ultrasound combined with clinical factors in predicting the risk of female stress urinary incontinence( SUI ) . Methods T hree hundred and forty‐eight female patients with SUI diagnosed were selected as the case group ,and 102 healthy people in the same period were selected as the control group . All subjects underwent transperineal real‐time three‐dimensional ultrasound . T he ultrasonic parameters of resting state ,contraction and Valsalva were measured ,and the clinical parameters such as age ,height , weight ,history of pregnancy and childbirth were collected . According to the time sequence ,all the subjcets were divided into derivation cohort and verification cohort inproportion to 2∶1 ,single factor screening and logistic multiple regression analysis were carried out on 24 factors ,and the risk model was established . T he cut‐off value of the disease probability P was determined by the ROC curve of the subjects ,and then the accuracy of the cut‐off value in predicting SUI was verified in the verification group . Results Single factor analysis showed that 13 parameters were associated with SUI( all P ＜0 .05) . Logit P＝2 .014+1 .870× Z1 was established by multivariate logistic regression analysis . T he cut‐off value of the disease probability P determined by ROC curve was 0 .823 . T he predictive sensitivity of the model was 68 .1% ( 95% CI : 59 .6% －76 .6% ) ,specificity was 91 .2% ( 95% CI :86 .0% －96 .4% ) ,positive predictive value was 64 .3%( 95% CI : 55 .6% － 73 .0% ) and negative predictive value was 92 .5% ( 95% CI : 86 .2% － 98 .8% ) . Conclusions It is feasible to predict the risk of female stress urinary incontinence by transperineal real‐time three‐dimensional ultrasound combined with clinical factors . Although ,some limitations with the prediction model ,it has accuracy in predicting SUI with obvious symptoms .

Objective: To investigate the feasibility and accuracy of transperineal real-time three-dimensional ultrasound combined with clinical factors in predicting the risk of female stress urinary incontinence(SUI). Methods: Three hundred and forty-eight female patients with SUI diagnosed were selected as the case group, and 102 healthy people in the same period were selected as the control group. All subjects underwent transperineal real-time three-dimensional ultrasound. The ultrasonic parameters of resting state, contraction and Valsalva were measured, and the clinical parameters such as age, height, weight, history of pregnancy and childbirth were collected. According to the time sequence, all the subjcets were divided into derivation cohort and verification cohort inproportion to 2∶1, single factor screening and logistic multiple regression analysis were carried out on 24 factors, and the risk model was established. The cut-off value of the disease probability P was determined by the ROC curve of the subjects, and then the accuracy of the cut-off value in predicting SUI was verified in the verification group. Results: Single factor analysis showed that 13 parameters were associated with SUI(all P<0.05). Logit P=2.014+ 1.870×Z₁ was established by multivariate logistic regression analysis. The cut-off value of the disease probability P determined by ROC curve was 0.823. The predictive sensitivity of the model was 68.1% (95%CI: 59.6%-76.6%), specificity was 91.2% (95%CI: 86.0%-96.4%), positive predictive value was 64.3% (95%CI: 55.6%-73.0%) and negative predictive value was 92.5% (95%CI: 86.2%-98.8%). Conclusions It is feasible to predict the risk of female stress urinary incontinence by transperineal real-time three-dimensional ultrasound combined with clinical factors. Although, some limitations with the prediction model, it has accuracy in predicting SUI with obvious symptoms.

Objective To understand the development of healthcare-associated infection(HAI)management organ-izations in China in the past 30 years.Methods Development of HAI management organizations in 12 provinces (municipalities,autonomous regions)in China was surveyed.Results A total of 166 hospitals were surveyed,96 (57.83%)were tertiary hospitals.Among 164 hospitals which had a history of development of HAI management department,46(28.05%)before 1995,63(38.14%)in 1995-2005,and 55(33.54%)in 2005-2015 set up HAI management departments.HAI management professionals per 1 000 beds in 165 hospitals decreased from 4.80 in 1995 to 4.09 in 2015,occupational categories in HAI management departments in 1995 -2015 were significantly different (χ2 =26.22,P <0.01).The constituent ratios of education background and profession of HAI manage-ment professionals in each province in 1995-2015 were significantly different(χ2 =242.91,47.10,respectively,all P <0.01).In 1995 and 2005,70.81%,53.30% of professionals were with college degree or below;in 2015,the percentage of professionals with bachelor’s degree,doctoral degree,and master’s degree were 53.79%,2.45%, and 22.86% respectively.Most professionals were nursing staff,but the percentage decreased from 58.38% in 1995 to 45.96% in 2015.Conclusion Although HAI management organizations have developed for 30 years and made some achievements,there still remain some problems,the proportion of professionals needs to be enhanced,and personnel structure should be optimized.