Gorham-Stout disease(GSD) is a rare osteolytic disorder characterized by spontaneous and progressive osteolysis, along with abnormal angiogenesis and lymphangiogenesis, with no new bone formation. We present a case of a 15-year-old female admitted due to " recurrent right leg pain for 5 years, 11 months after undergoing right femoral fracture surgery". Through comprehensive integration of the patient's clinical phenotype, laboratory tests, imaging findings, pathological examinations, and molecular biological test results, GSD was considered highly likely. A multidisciplinary treatment approach was conducted, including a combination of zoledronic acid and sirolimus to inhibit osteolysis, along with rehabilitation training and orthopedic intervention, providing a personalized and comprehensive treatment strategy.

Objective:To develop an artificial intelligence system using fully convolutional neural networks（FCN）to assist echocardiographers in the quantitative assessment of mitral regurgitation（MR）severity.Methods:From August 2021 to June 2024，echocardiographic images of 441 patients with MR were prospectively collected from Renmin Hospital of Wuhan University and the Central Hospital of Wuhan. After screening，a total of 269 patients（4 917 frames）were included in the study. Of these，3 644 frames（128 patients）of apical four-chamber color Doppler MR flow convergence images from Renmin Hospital of Wuhan University were selected as the training/validation set，while images from 121 patients（813 frames）were used as the internal test set. Additionally，images from 20 patients（460 frames）from the Central Hospital of Wuhan were selected as the external test set. The FCN algorithm was employed to capture features and segment the MR color region on the left atrial side，simultaneously outputting the regurgitant radius（r）for the calculation of the effective regurgitant orifice area and regurgitant volume. The severity of MR was then classified according to the 2017 guidelines of the American Society of Echocardiography. The segmentation and classification performance of the model was evaluated，and the measurement results of the AI system was compared with that of both senior and junior physicians.Results:In the internal test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.48，0.81，0.86，and 0.87，respectively. In the external test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.60，0.77，0.64，and 0.77，respectively. The average accuracy of MR classification in the internal and external test sets was 0.91 and 0.88，respectively.Conclusions:The FCN model is capable of segmenting the left atrial side regurgitant areas in apical four-chamber heart color Doppler images，aiding physicians in obtaining quantitative assessment parameters for MR，and assisting junior physicians in accurately assessing the severity of MR.

Objective To sort out the current situation and research hotspots of the application of information technology in drug safety in China，reveal the latest research frontier, and provide a basis for the follow-up research. Methods The literature about the application of information technology in the field of drug safety were searched from 2012 to 2022 in three major databases of CNKI, WanFang and VIP databases, and visual analysis was conducted with the help of Citespace software. Results A total of 848 valid papers were included, and the number of annual publications showed a phased growth trend, and the cooperation between authors and publishers was not close enough. The application of information technology in drug safety was mainly reflected in pharmaceutical service, intravenous drug dispensing center and antibacterial drugs. The main technical means of information construction in the field of drug safety were prescription pre-audit system, knowledge base and automation. The research frontiers were mainly intelligence, knowledge base, prescription audit, and proprietary Chinese medicines. Conclusion The application of information technology in drug safety in China is in a period of vigorous development, and cooperation among different regions, institutions, and authors should be strengthened to promote information sharing. In the future, the related research of information technology in the field of Chinese patent medicine should be focused, and the research content of information technology application in drug safety could be further improved.

Objective:To develop an artificial intelligence system using fully convolutional neural networks（FCN）to assist echocardiographers in the quantitative assessment of mitral regurgitation（MR）severity.Methods:From August 2021 to June 2024，echocardiographic images of 441 patients with MR were prospectively collected from Renmin Hospital of Wuhan University and the Central Hospital of Wuhan. After screening，a total of 269 patients（4 917 frames）were included in the study. Of these，3 644 frames（128 patients）of apical four-chamber color Doppler MR flow convergence images from Renmin Hospital of Wuhan University were selected as the training/validation set，while images from 121 patients（813 frames）were used as the internal test set. Additionally，images from 20 patients（460 frames）from the Central Hospital of Wuhan were selected as the external test set. The FCN algorithm was employed to capture features and segment the MR color region on the left atrial side，simultaneously outputting the regurgitant radius（r）for the calculation of the effective regurgitant orifice area and regurgitant volume. The severity of MR was then classified according to the 2017 guidelines of the American Society of Echocardiography. The segmentation and classification performance of the model was evaluated，and the measurement results of the AI system was compared with that of both senior and junior physicians.Results:In the internal test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.48，0.81，0.86，and 0.87，respectively. In the external test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.60，0.77，0.64，and 0.77，respectively. The average accuracy of MR classification in the internal and external test sets was 0.91 and 0.88，respectively.Conclusions:The FCN model is capable of segmenting the left atrial side regurgitant areas in apical four-chamber heart color Doppler images，aiding physicians in obtaining quantitative assessment parameters for MR，and assisting junior physicians in accurately assessing the severity of MR.

Objective:To explore the application value of breast ultrasound structured report in the clinical teaching of standardized residency training of ultrasonography.Methods:Forty-eight residents from the Department of Ultrasonography in Renmin Hospital of Wuhan University were selected as the research objects, and were randomly divided into experimental group and control group in average. The experimental group used structured report template to write the breast ultrasound report, while the control group used free text. After 1 month of clinical teaching, the teachers who were not clear about the grouping assessed and analyzed the differences between the two groups of residents in grasping the characteristics of lesions and reporting content. At the same time, the students were asked to fill in a questionnaire for self-evaluation to analyze the learning situation of the two groups of students. SPSS 21.0 statistical analysis software was used for t-test and Chi-square test. Results:In terms of teacher evaluation, the scores of residents in the experimental group were higher than those in the control group in terms of completeness of report content, accuracy of description of peripheral conditions of lesions, standardization of professional terms and practicality of differential diagnosis (all P<0.001). There was no significant difference in the accuracy of lesion description between the two groups ( P=0.342). In terms of self-evaluation of residents in the standardized residency training, the evaluations of residents in the experimental group on the degree of mastery of knowledge points, clinical thinking cultivation and satisfaction of teaching mode were significantly higher than those of residents in the control group ( P=0.006, 0.012, <0.001, respectively). There were no significant differences between the two groups in learning interest and operation convenience ( P=0.186, 0.065, respectively). Conclusions:The structured report of breast ultrasound is helpful for the residents to master the characteristics of lesions and write a complete and professional report. It is also helpful for them to improve the standardization of operation and clinical thinking ability.

OBJECTIVE To investigate the intervention effect of kushenol F （KSC-F） on ulcerative colitis （UC） mice. METHODS Totally 30 male C57BL/6J mice were randomly divided into the normal group， model group， positive drug group （sulfasalazine， 703 mg/kg）， KSC-F 50 mg/kg group （KSC-F50 group）， and KSC-F 100 mg/kg group （KSC-F100 group）， with 6 mice in each group. Except for the normal group， the mice in the remaining groups were given 3% dextran sulfate sodium solution continuously for 7 days to induce UC model. Concurrently， administration groups received corresponding drug solution intragastrically， once a day， for 10 consecutive days. During the experiment， the changes in body weight and bowel movements of the mice were observed. Disease activity index scoring was performed after the last administration. The histopathological morphology of colonic tissue was examined. The levels of inflammatory factors in the serum and colon tissue were measured. Additionally， the mRNA expression of inflammatory factors， and the protein expressions of inflammation-related proteins [interleukin-1β （IL-1β）， forkhead box O1（FOXO1）， phosphoinositide 3-kinase（PI3K）， phosphorylated PI3K（p-PI3K）， p38 mitogen-activated protein kinase（p38 MAPK）， phosphorylated p38 MAPK（p-p38 MPAK） and phosphorylated protein kinase B（p- Akt）] were determined in colonic tissue. RESULTS KSC-F could alleviate weight loss and colonic tissue damage in UC mice. KSC- F reduced the levels of IL-1β， IL-6， IL-8 and tumor necrosis factor-α （TNF-α） in serum， as well as IL-1β， IL-6， IL-17 and TNF- α in colonic tissue to varying degrees and increased the levels of IL-10 in both serum and colonic tissue （P＜0.05 or P＜0.01）. Moreover， KSC-F decreased the expression levels of IL-1β， IL-17 and TNF-α mRNA， as well as p-PI3K， p-p38 MAPK， and p- Akt proteins in colonic tissue to varying degrees， and increased the expression levels of IL-10 mRNA and FOXO1 protein in colonic tissue （P＜0.05 or P＜0.01）. CONCLUSIONS KSC-F effectively alleviates UC symptoms in mice by inhibiting PI3K， Akt and p38 MAPK activation， mitigating the release of pro-inflammatory factors such as IL-1β， IL-6， TNF- α，promoting the anti-inflammatory factor IL-10 secretion， and reducing inflammation-induced colonic tissue damage.

BACKGROUND:Pulsed electromagnetic fields,as an important physical therapy,are exactly effective in the treatment of osteoarthritis,but the mechanism has not been fully clarified. OBJECTIVE:To observe the effect of pulsed electromagnetic field on the degeneration of knee joint cartilage in aged rats. METHODS:Eight 6-month-old Sprague-Dawley rats were selected as the young group and were subjected to normal diet with no treatment.Sixteen 22-month-old Sprague-Dawley rats were randomly divided into old group(n=8)and pulsed electromagnetic field group(n=8).The rats in the pulsed electromagnetic field group were subjected to a pulsed electromagnetic field intervention,once a day,5 days per week for continuous 8 weeks.The rats in the old group were given no treatment.All rats were anesthetized and executed after 8 weeks for the detection of relevant indexes. RESULTS AND CONCLUSION:Compared with the young group,serum type Ⅱ collagen C-terminal peptide level was increased in the old group(P<0.05);compared with the old group,serum type Ⅱ collagen C-terminal peptide level was decreased in the pulsed electromagnetic field group(P<0.05).Micro-CT showed that the bone volume fraction,bone mineral density,and number of bone trabeculae decreased(P<0.05)and the trabecular separation increased(P<0.05)in the tibia of rats in the aged group compared with the young group;and the bone volume fraction,bone density,and number of trabeculae increased(P<0.05)and the trabecular separation decreased(P<0.05)in the tibia of rats in the pulsed electromagnetic field group compared with the aged group.The tibial plateau Safranin O-fast green staining showed that the articular cartilage structure of rats in the aged group was disorganized,and the number of chondrocytes was obviously reduced,and the tidal line could not be distinguished.The above results were improved in the pulsed electromagnetic field group.RT-qPCR and western blot assay showed that the mRNA and protein expression levels of matrix metalloproteinase 1,matrix metalloproteinase 13,P53 and P21 in the articular cartilage and subchondral bone of rats were elevated in the aged group compared with the young group(P<0.05)and decreased in the pulsed electromagnetic field group compared with the old group(P<0.05).To conclude,pulsed electromagnetic fields may improve osteoarthritis in aged rats by inhibiting chondrocyte senescence,alleviating articular cartilage degradation and inhibiting subchondral bone osteoporosis through suppressing the expression of P53/P21.

Objective:To evaluate the cardiac morphological and functional parameters of patients with persistent atrial fibrillation (per-AF) and paroxysmal atrial fibrillation (PAF) using two-dimensional speckle tracking echocardiography (2D-STE) and real-time three-dimensional echocardiography (RT-3DE), and to explore their predictive value for the occurrence and progression of atrial fibrillation.Methods:A retrospective study was conducted on 30 per-AF patients (per-AF group), 30 PAF patients (PAF group) and 25 non-AF subjects (control group) who underwent echocardiography at Wuhan University People′s Hospital from May 2022 to May 2023. The left/right atrial longitudinal strain of reservoir, conduct and contraction (LASr/RASr, LAScd/RAScd, LASct/RASct), and calculated left atrial stiffness (LASI) were assessed by 2D-STE. Three-dimensional left and right atrial maximum volume index (LAVImax/RAVImax), minimum volume index (LAVImin/RAVImin) and emptying fraction (LAEF/RAEF) were obtained by RT-3DE. Then, patients with atrial fibrillation were divided into the normal LAVI group and enlarged LAVI group, and the differences of atrial strain among each group were compared. ROC curve was used to evaluate the overall diagnostic efficiency and cutoff values of ultrasonic parameters in patients with normal volume of atrial fibrillation. Finally, a multivariate Logistic regression model was established to identify the ultrasonic parameters associated with the occurrence and progression of different types of atrial fibrillation.Results:①Structurally, LAD, RAD and RAVImin in control, PAF and per-AF groups increased gradually, while LAEF and RAEF decreased gradually (all P<0.05). ②In terms of strain, LASr in control, PAF and per-AF groups decreased gradually (all P<0.05); Compared with the control group, LAScd, RASr and RAScd in PAF and per-AF groups were significantly decreased, and LASct and RASct in PAF group were significantly decreased (all P<0.05). ③Compared with the normal LAVI group, the LASr, LAScd and LASct in the enlarged LAVI group were significantly decreased, while LASI was significantly increased (all P<0.05); Compared with control group, the left and right atrial strain parameters in LAVI normal group were decreased, and LASI was increased (all P<0.05). The atrial strain parameter ROC was constructed in all subjects with normal left atrial volume, and RASr was the most sensitive indicator.④Multi-factor Logistic regression analysis showed that LAVImin and RASr were the influence factors of PAF ( OR=1.521, 0.907; 95% CI=1.173-1.972, 0.825-0.998; P=0.002, 0.044), LASr was the influence factor of pre-AF ( OR=0.858, 95% CI=0.802-0.917, P<0.001). Conclusions:2D-STE and RT-3DE can be used to evaluate the structural and functional changes of both atria, especially LAVImin, LASr and RASr, which have certain predictive value for the occurrence and progression of atrial fibrillation.

Objective:To explore the prognostic predictive value of deep neural network (DNN) assisted myocardial contrast echocardiography (MCE) quantitative analysis of ST-elevated myocardial infarction (STEMI) patients after successful percutaneous coronary intervention(PCI).Methods:A retrospective analysis was performed in 97 STEMI patients with thrombolysis in myocardial infarction-3 flow in infarct vessel after primary PCI in Renmin Hospital of Wuhan University from June to November 2021. MCE was performed within 48 h after PCI. Patients were followed up to 120 days. The adverse events were defined as cardiac death, hospitalization for congestive heart failure, reinfarction, stroke and recurrent angina. The framework consisted of the U-net and hierarchical convolutional LSTMs. The plateau myocardial contrast intensity (A), micro-bubble rate constant (β), and microvascular blood flow (MBF) for all myocardial segments were obtained by the framework, and then underwent variability analysis. Patients were divided into low MBF group and high MBF group based on MBF values, the baseline characteristics and adverse events were compared between the two groups. Other variables included biomarkers, ventricular wall motion analysis, MCE qualitative analysis, and left ventricular ejection fraction. The relationship between various variables and prognosis was investigated using Cox regression analysis. The ROC curve was plotted to evaluate the diagnostic efficacy of the models, and the diagnostic efficacy of the models was compared using the integrated discrimination improvement index (IDI).Results:The time-cost for processing all 3 810 frames from 97 patients was 377 s. 92.89% and 7.11% of the frames were evaluated by an experienced echocardiographer as "good segmentation" and "correction needed". The correlation coefficients of A, β, and MBF ranged from 0.97 to 0.99 for intra-observer and inter-observer variability. During follow-up, 20 patients met the adverse events. Multivariate Cox regression analysis showed that for each increase of 1 IU/s in MBF of the infarct-related artery territory, the risk of adverse events decreased by 6% ( HR 0.94, 95% CI =0.91-0.98). There was a 4.5-fold increased risk of adverse events in the low MBF group ( HR 5.50, 95% CI=1.55-19.49). After incorporating DNN-assisted MCE quantitative analysis into qualitative analysis, the IDI for prognostic prediction was 15% (AUC 0.86, sensitivity 0.78, specificity 0.73). Conclusions:MBF of the area supplied by infarct-related artery after STEMI-PCI is an independent protective factor for short-term prognosis. The DNN-assisted MCE quantitative analysis is an objective, efficient, and reproducible method to evaluate microvascular perfusion. Assessment of culprit-MBF after PCI in STEMI patients adds independent short-term prognostic information over qualitative analysis.It has the potential to be a valuable tool for risk stratification and clinical follow-up.

Objective:To quantitatively evaluate and compare the morphology and dynamics parameters of mitral valve devices in patients with atrial functional mitral regurgitation (AFMR) and ventricular functional mitral regurgitation (VFMR) by real-time three-dimensional ultrasound, in order to provide theoretical basis for diagnosis and clinical treatments of the two types of regurgitation patients.Methods:A retrospective study was conducted on 20 AFMR patients (AFMR group) and 20 VFMR patients (VFMR group) who underwent transesophageal echocardiography at Wuhan University People′s Hospital from May to November 2022. Additionally, 20 patients who underwent transesophageal echocardiography at our hospital during the same period due to patent foramen ovale or non cardiac surgery monitoring were selected as the control group. All subjects were measured mitral annulus anteroposterior diameter (AP diameter), anterolateral posteromedial diameter (ALPM diameter), anteroposterior diameter/anterolateral posteromedial diameter (AP/ALPM), commissural width (CW), annular area (AA), annular circumference (AC), annular height (AH), coaptation depth (CD), tenting volume (TV), non-planar angle (NPA) and posterior leaflet angle at isovolumic relaxation time, early diastole, mid diastole, late diastole, isovolumic contraction time, early systole, mid systole, and late systole. The total change rate and systolic change rate of the above parameters were calculated, the differences in structure and dynamic changes of the mitral valve device among three groups were compared, and the correlations between the change rate of mitral annular parameters and left ventricular long axis strain (GLS) were analyzed.Results:①The GLS of three groups were as follows: control group>AFMR group>VFMR group, and the differences between the groups were statistically significant (all P<0.05). ②Static structure: The AP diameter, ALPM diameter, AA, AC, and total leaflet area (TLA) of the AFMR group and VFMR group were significantly larger than those of the control group (all P<0.05), but there was no statistically significant difference between the AFMR group and VFMR group (all P>0.05). Compared with the other two groups, the TV, CD, and posterior leaflet angle of the VFMR group were significantly increased, exhibiting the mitral valve tethering; the control group had the largest AH/CW and the deepest saddle shape; the AFMR group had the smallest TLA/AA and the least mitral valve remodeling; there was no statistically significant difference in the junction area among the three groups (all P>0.05). ③Dynamic changes: AP diameter, ALPM diameter, AA and AC in the control group showed regular changes throughout the cardiac cycle, gradually decreased from isovolumic relaxation time to late diastole, and gradually increased from isovolumic contraction time to late systole; The changes in the above parameters in the AFMR and VFMR groups appeared more disordered. In addition, compared with the control group, the total change rate and systolic change rate of AP diameter in the AFMR group were significantly reduced, but the total change rate of ALPM diameter was significantly increased (all P<0.05). ④The total change rate of AA, ALPM diameter and AP diameter were moderately correlated with GLS ( r=0.353, P=0.006; r=-0.304, P=0.018; r=0.300, P=0.020), while the systolic change rate of posterior leaflet angle was weakly correlated with GLS ( r=0.267, P=0.039). Conclusions:There are differences in the morphology and dynamics parameters of mitral valve device in patients with AFMR and VFMR.Different clinical strategies can be used for the two kinds of functional mitral regurgitation.