Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective:To summarize the clinical characteristics of SAPHO syndrome in elderly patients with organizing pneumonia.Methods:We reported a case of SAPHO syndrome in an elderly patient with organizing pneumonia.Relevant reports on SAPHO syndrome with organizing pneumonia at home and abroad were retrieved, and the literature was summarized an analyzed.Results:The patient was a 63-year-od female who was admitted to the hospital due to "intermittent fever and cough for more than two months". Before admission, she was previously diagnosed with pneumonia in another hospital with poor response to anti-infective treatment.Chest CT showed multiple bilateral patchy consolidations in both lungs, with migratory changes and reversed halo signs.Her medical history included bone and joint pain(e.g., sternoclavicular joints)and palmoplantar pustulosis.Lung biopsy pathology confirmed organizing pneumonia. 99mTc-MDP bone scintigraphy revealed abnormal bone salt metabolism in multiple bone and joint areas.The final diagnosis was SAPHO syndrome with organizing pneumonia.Both symptoms and imaging significantly improved after prednisone treatment.Two related cases were retrieved from the literature.One was a 57-year-old female reported in the UK, who had been diagnosed with SAPHO syndrome before and was found to have lung consolidations due to respiratory symptoms.Lung biopsy confirmed organizing pneumonia, and she improved after glucocorticoid treatment.The other was a 59-year-old Chinese female who visited hospital due to pain in the lumbosacral part and left lower limb.After being diagnosed with SAPHO syndrome, a chest CT scan was performed and lung consolidations were found.The pathology confirmed organizing pneumonia.The patient improved after treatment with Tripterygium wilfordii. Conclusion:SAPHO syndrome complicated with organizing pneumonia is rare, with diverse clinical manifestations, and responds well to glucocorticoid therapy.

Objective:To observe the adaptive changes in the cardiovascular system after travelling to high altitude in healthy people using supine bicycle exercise stress echocardiography（SE），and to reveal the changes in right heart function，pulmonary vascular reserve and right ventricular systolic reserve in healthy people after acute high altitude exposure.Methods:Thirty-six healthy adults were prospectively collected to undergo SE at low altitude（500 m）and high altitude（3 600 m）. Offline analysis was conducted to acquire resting and peak exercise ultrasound parameters at high and low altitudes：tricuspid regurgitant velocity（TRV），tricuspid annular peak systolic velocity（TV-s′），right ventricular end-diastolic area（RVEDA），right ventricular end-systolic area（RVESA），right ventricular fractional area change（RVFAC），right ventricular basal transverse dimension（RVD1），right ventricular mid-ventricular transverse dimension（RVD2），right ventricular longitudinal dimension（RVD3），right ventricular free wall longitudinal strain（RVFWS），right ventricular global longitudinal strain（RVGLS），left ventricular cardiac output（CO），pulmonary artery systolic pressure（PASP），mean pulmonary artery pressure（mPAP），pulmonary resistance（PVR）and the ratio of tricuspid annular systolic displacement（TAPSE）to PASP（TAPSE/PASP）. The pulmonary vascular reserve and right ventricular systolic reserve indices including pulmonary vascular reserve and right ventricular systolic reserve indices（mPAP/CO slope，change in tricuspid annular systolic displacement（ΔTAPSE），change in fractional area change（ΔRVFAC），change in overall long-axis strain of the right ventricle（ΔRVGLS），and change in peak velocity of the lateral wall of the tricuspid annulus（ΔTV-s′）were calculated. The differences of these parameters betweet high and low altitudes were compared.Results:During the resting period，the values of TRV，PASP，mPAP，PVR，RVD2，and RVD3 were higher at high altitude than at low altitude（all P<0.05）. TAPSE/PASP，RVFAC，RVGLS，and RVFWS were lower at high altitude than at low altitude（all P<0.05）. During the peak exercise period，TRV，PASP，mPAP，PVR，RVAD，RVAS，RVD2，and RVD3 were all higher at high altitude than at low altitude（all P<0.05），and RVFAC at high altitude was lower than at low altitude（ P<0.05）. Right ventricular systolic reserve and pulmonary vascular reserve：mPAP/CO slope at high altitude was higher than at low altitude，ΔTV-s′ and RVFAC were lower than at low altitude（all P<0.05），there were no significant differences in ΔTAPSE and ΔRVGLS between the two altitudes（all P>0.05）. Conclusions:Acute high altitude exposure causes adaptive dilatation of the right ventricle accompanied by a reduction in pulmonary vascular reserve and right ventricular contractile reserve function.

Objective:To assess the current clinical application status of provocation/stress echocardiography in hypertrophic cardiomyopathy（HCM）among echocardiography physicians from large grade A tertiary hospitals，located in 24 provinces or directly administered municipalities，and to achieve a relatively clear and comprehensive overview of the current clinical application status of provocation/stress echocardiography in HCM. This study was conducted by the Chinese Society of Ultrasound in Medicine（CSUM）and Chinese Society of Echocardiography（CSE）.Methods:An online survey was anonymously conducted using Question Star application from 20 March to 30 September 2023. The survey covered the following topics including the echocardiographic diagnostic overview，the selection of views and measurement parameter of echocardiography，and the cognition and application，awareness and management of risk，and clinical demand of provocation/stress echocardiography.Results:A total of 337 valid responses were included in the final statistical analysis. The study revealed that the number of HCM patients seen by echocardiography physicians was very few（0-10%），with a low proportion of diagnosed obstructive HCM patients. There was incomplete mastery of the left ventricular outflow tract（LVOT）obstruction criteria（68.25%），insufficient awareness of the importance of LVOT pressure gradient measurement（7.12% echocardiographic doctors routinely performed LVOT gradient measurement for suspect HCM patients），non-standardized selection of echocardiographic views and measurement parameters for HCM，and significant deficiencies in knowledge and application of Valsalva provocation/stress echocardiography（17.21% and 79.23% doctors were quite aware of the principles of Valsalva provocation/stress echocardiography，respectively）. The risk awareness of provocation/stress echocardiography（13.65% physicians were fully aware of the potential risk）and the ability to manage associated risks（19.29% physicians were able to handle all emergencies）were lacking. Existing guidelines did not sufficiently standardize the clinical practice of provocation/stress echocardiography（23.44%），and there was diversity in learning formats requirements and unmet clinical needs.Conclusions:This survey revealed insufficient fundamental theoretical knowledge and a need for further standardization and training in the application of provocation/stress echocardiography for HCM among echocardiography physicians. Additionally，risk awareness and adequate response skills need improvement. There is a need for more practical and guiding guidelines for clinical practice，as well as numerous unmet clinical needs.

Objective:To evaluate the diagnostic performance of resting echocardiography in detecting severe coronary artery stenosis.Methods:A total of 136 patients with suspected coronary artery disease（CAD）who presented to Sichuan Provincial People's Hospital between January 2021 and December 2024 were prospectively enrolled. All patients underwent both coronary computed tomography angiography（CCTA）and transthoracic echocardiography within one week. Based on CCTA results，the patients were divided into non-severe stenosis group（ n=78）and severe stenosis group（ n=58）. Echocardiographic parameters including left atrial maximum volume（LAVmax），left ventricular global longitudinal strain（GLS），left ventricular longitudinal strain of endo-myocardium，mid-myocardium，epi-myocardium（LSendo，LSmid，LSepi），early diastolic mitral inflow velocity（E），early diastolic mitral annular velocity of the lateral and septal walls（e'），and E/e' were measured. Predictive factors for severe coronary stenosis were identified using LASSO regression，and a nomogram model was developed via multivariate Logistic regression. Model performance was evaluated using ROC curves，calibration curves，and decision curve analysis. Results:Multivariate Logistic regression analysis revealed LSendo，LAVmax，and E/e' as independent predictors of severe coronary artery stenosis. The nomogram constructed based on these predictors achieved an area under the curve of 0.798（95% CI=0.723-0.873），with sensitivity and specificity of 0.756 and 0.759，respectively. Conclusions:The resting echocardiography-based nomogram model demonstrates good diagnostic efficacy for severe coronary artery stenosis. It may serve as a noninvasive tool to assist in risk stratification and clinical decision-making in patients with suspected CAD.

To provide in-service medical technicians and nurses with convenient access to continuing education resources in transfusion medicine, reduce transfusion-related adverse events, and ensure the safety, rationalization, and effectiveness of clinical transfusion, we designed and developed an online transfusion continuing education platform. The platform was based on the new managed code programming model.NET Core and the powerful functions of hypertext preprocessor PHP 7.4, addressing current issues in transfusion online continuing education. Through in-depth analysis of student attributes, learning behaviors, and teaching behaviors, a comprehensive online continuous teaching quality evaluation index system was established. This system not only facilitates the quantitative assessment of teaching quality but also successfully integrates the two core functions of teaching and management, thereby achieving unified online teaching.