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 Explore the feasibility and value of deep learning technology for quality control of echocardiography images.Methods A total of 180985 echocardiography images collected from Sichuan Provin-cial People's Hospital between 2015 and 2022 were selected to establish the experimental dataset.Two task models of the echocardiography standard views quality assessment method were trained,including intelligent recognition of seven types of views(six standard views and other views)and quality scoring of six standard views.The predictions of the models on the test set were compared with the results of the sonographer's annotation to assess the accuracy,feasibility,and timeliness of the runs of the two models.Results The overall classification accuracy of the stan-dard views recognition model was 98.90%,the precision was 98.17%,the recall was 98.18%and the F1 value was 98.17%,with the classification results close to the expert recognition level;the average PLCC of the six standard views quality scoring models was 0.933,the average SROCC was 0.929,the average RMSE was 7.95 and the average MAE was 4.83,and the prediction results were in strong agreement with the expert scores.The single-frame inference time after deployment on the 3090 GPU was less than 20 ms,meeting real-time requirements.Conclusion The echocardiography standard views quality assessment method can provide objective and accurate quality assessment results,promoting the development of echocardiography image quality control management towards real-time,objective,and intelligent.

Objective:To investigate the management of granulation tissue during surgery for infected congenital preauricular fistula and to assess the surgical outcomes. Methods:To summarize the surgical methods and the treatment of granulation methods in 140 cases of congenital preauricular fistula during the period of infection treated in our department from January 2018 to September 2022. The study divided patients into an observation group （79 patients） undergoing fistulectomy without granulation treatment, and a control group （61 patients） where fistulectomy and granulation resection were performed concurrently.. After six months of follow-up, the wound healing, recurrence rates, and the aesthetic assessment of granulation healing were evaluated using the Stony Brook Scar Evaluation Scale（SBSES）. Results:The two surgical approaches were applied to a total of 140 patients with infected congenital preauricular fistula. There was no statistical difference in wound healing and recurrence rates between the observation group and the control group. However, the observation group exhibited smaller scars. Conclusion:In cases of infected congenital preauricular fistula, surgical removal without excising granulation tissue is feasible, leading to effective healing and lesser scar formation.
Humans ; Cicatrix ; Wound Healing ; Craniofacial Abnormalities ; Fistula/surgery* ; Treatment Outcome

ObjectiveTo investigate the mechanism of Ershiwuwei Guijiu pill in preventing and treating postmenopausal osteoporosis （PMOP） by activating the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR） signaling pathway and inhibiting excessive autophagy. MethodFemale SD rats were ovariectomized and randomly divided into the sham operation group （Sham）， the operation group （OVX）， the Ershiwuwei Guijiu pill （GJ） group， and the raloxifene hydrochloride （RLX） group， with 10 rats in each group. Enzyme-linked immunosorbent assay （ELISA） and colorimetric methods were used to detect the levels of estrogen， bone metabolism markers in serum， and total superoxide dismutase （T-SOD）， malondialdehyde （MDA）， and glutathione peroxidase （GSH-Px） in tibial tissue. Flow cytometry was used to detect reactive oxygen species （ROS） levels in bone marrow mesenchymal stem cells. Masson staining was used to observe pathological changes in the proximal tibia， and micro-computed tomography （Micro-CT） was used to observe changes in tibial microstructural parameters. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） and Western blot were used to detect the expression of autophagy-related proteins Beclin1， microtubule-associated protein 1A/1B-light chain 3 （LC3）， autophagy-related 5 （Atg5）， as well as PI3K， Akt， and mTOR in tibial tissue. ResultCompared with the Sham group， the OVX group showed a significant decrease in serum levels of estradiol （E₂） and calcium ion （Ca²⁺）， and T-SOD， GSH-Px， PI3K， Akt， and mTOR mRNA levels in bone tissue （P<0.05， P<0.01）， significantly reduced bone mineral density （BMD）， bone surface/bone volume （BS/BV）， trabecular thickness （Tb.Th）， trabecular number （Tb.N）， and trabecular connectivity （Con） in the tibia （P<0.05， P<0.01）， thinner epiphyseal growth plate， and the bone marrow cavity filled with fat vacuoles. Moreover， the levels of phosphorus （P）， MDA， ROS， and mRNA and protein expression of Beclin1， LC3， and Atg5， as well as trabecular separation （Tb.Sp） were significantly elevated （P<0.05， P<0.01）. Compared with the OVX group， the GJ and RLX groups showed significant increases in serum E₂ and Ca²⁺， and bone tissue levels of SOD， GSH-Px， and the mRNA levels of PI3K， Akt， and mTOR （P<0.05， P<0.01）， significantly increased BMD， BS/BV， Tb.Th， Tb.N， and Con in the tibia， thickened epiphyseal growth plate， and significantly reduced fat vacuoles in the bone marrow cavity （P<0.05， P<0.01）. Additionally， the levels of P， MDA， ROS， Beclin1， LC3， Atg5 mRNA and proteins， and Tb.Sp were significantly decreased （P<0.05， P<0.01）. The ratios of p-PI3K/PI3K， p-Akt/Akt， and p-mTOR/mTOR， which were significantly reduced in the OVX group （P<0.01）， were significantly increased in the GJ and RLX groups （P<0.01）. ConclusionThe Ershiwuwei Guijiu pill reduces oxidative stress and inhibits autophagy， thereby preventing and treating postmenopausal osteoporosis. Its mechanism may be related to the activation of the PI3K/Akt/mTOR signaling pathway， which inhibits autophagy.

Objective To compare the value of standard coronal MRI and multi-planar reconstruction(MPR)images for evaluation of anterolateral ligament(ALL).Methods Data of 130 patients who underwent knee joint MR examination were retrospectively analyzed,including standard coronal MRI and MPR images.ALL were identified on standard coronal MRI and MPR images and classified as fully visible,partially visible or invisible.The visibility of bilateral ALL on both standard coronal MRI and MPR images were compared,while Kappa test was used to evaluate the consistency on both kinds of images.Results Among 130 cases,on standard coronal MRI and MPR images,the left ALL was fully visible in 83 and 93 cases,partially visible in 21 and 12 cases but invisible cases in 26 and 25 cases,respectively,while the right side ALL was fully visible in 66 and 80 cases,partially visible cases in 29 and 15 cases but invisible cases each in 35 cases,respectively.Significant difference of visibility of bilateral ALL were found between standard coronal MRI and MPR images(both P＜0.05),both with excellent consistency(both Kappa＞0.80).Conclusion MPR could display bilateral ALL better than standard coronal MRI.If the scanning conditions for MPR could not be met,standard coronal MRI might be used to evaluate ALL rather accurately.

Background::High body mass index (BMI) results in decreased fecundity, and women with high BMI have reduced rates of clinical pregnancy and live birth in in vitro fertilization/intra-cytoplasmic sperm injection (IVF/ICSI). Meanwhile, ovarian responses show great heterogeneity in patients with a high BMI. This study aimed to analyze the effects of a high BMI on IVF/ICSI outcomes in the Chinese female with normal ovarian response. Methods::We performed a retrospective cohort study comprising 15,124 patients from the medical record system of the Reproductive Center of Peking University Third Hospital, with 3530 (23.3%) in the overweight group and 1380 (9.1%) in the obese group, who had a normal ovarian response (5-15 oocytes retrieved) and underwent fresh embryo transfer (ET) cycles from January 2017 to December 2018, followed by linked frozen-thawed embryo transfer (FET) cycles from January 2017 to December 2020. Cumulative live birth rate (CLBR) was used as the primary outcome. Furthermore, a generalized additive model was applied to visually illustrate the curvilinear relationship between BMI and the outcomes. We used a decision tree to identify the specific population where high BMI had the greatest effect on IVF/ICSI outcomes.Results::High BMI was associated with poor IVF/ICSI outcomes, both in cumulative cycles and in separate fresh ET or FET cycles. In cumulative cycles, compared with the normal weight group, obesity was correlated with a lower positive pregnancy test rate (adjusted odds ratio [aOR]: 0.809, 95% confidence interval [CI]: 0.682-0.960), lower clinical pregnancy rate (aOR: 0.766, 95% CI: 0.646-0.907), lower live birth rate (aOR: 0.706, 95% CI: 0.595-0.838), higher cesarean section rate (aOR: 2.066, 95% CI: 1.533-2.785), and higher rate of large for gestational age (aOR: 2.273, 95% CI: 1.547-3.341). In the generalized additive model, we found that CLBR declined with increasing BMI, with 24 kg/m 2 as an inflection point. In the decision tree, BMI only made a difference in the population aged ≤34.5 years, with anti-Mullerian hormone >1.395 ng/mL, and the first time for IVF. Conclusions::High BMI was related to poor IVF/ICSI outcomes in women with a normal ovarian response, and CLBR declined with increasing BMI, partly due to suppressed endometrial receptivity. A high BMI had the most negative effect on young women with anticipated positive prognoses.