Objective To explore the time cross-lagged effect between carotid intima-media thickness(CIMT)and bone mineral density(BMD)and to assess whether CIMT can be used as an early predictor of osteoporosis.Methods Based on the retrospective cohort study involved,people who underwent health checkups at The First Affiliated Hospital of Xi'an Jiaotong University from January 2019 to December 2023 were selected,and data related to CIMT and BMD were collected.The time-series relationship between CIMT and BMD was explored by cross-lagged modeling.Meanwhile,the effects of CIMT on BMD and its dose-response relationship were assessed using multiple linear regression and restricted cubic spline regression models.Results Analysis of 2 453 study subjects revealed a significant negative relationship between prior physical examination CIMT and subsequent BMD,and this relationship remained significant after controlling for confounders.For every 1-unit increase in CIMT,there was a mean decrease in second-stage BMD T-values of 0.113.Restricted cubic spline regression analysis showed a maximum decrease in BMD T-values of 0.121 for every 1.00 mm increase in CIMT.Conclusion The present study found that there was a significant negative cross-lag effect between CIMT and BMD,and that there was a dose-response between an increase in CIMT and a decrease in BMD.CIMT,as an easy-to-measure indicator,may be a potential marker for early prediction of osteoporosis,especially in the elderly population.

Objective:To establish three machine learning prediction models based on CT imaging characteristics of papillary thyroid carcinoma (PTC) , and use SHAP (shapley additive explanations) analysis to investigate the contribution of each CT image features in the best model.Methods:CT imaging features in 426 cases of 440 PTCs confirmed pathologically from Jan. 2016 to Jan. 2021 at the affiliated Hangzhou First People’s Hospital of Westlake University Medical School were retrospectively analyzed. compared with 467 cases of 528 nodular goiter (NG) , evaluating the distribution of four CT characteristics: cookie bite sign, enhanced range of narrowing/blur (ERNB) , microcalcifications, and irregular shape. We split the data into 8∶2 ratio for training and testing sets, then constructed three machine learning models using XGBoost, RF, and SVM. Based on AUC, accuracy, F1 score, and other metrics, we selected the best model. Lastly, we used SHAP values to assess each CT feature’s contribution and positive/negative effects on the model.Results:Among 440 PTC and 528 NG nodules, CT features like cookie bite sign, ERNB, microcalcifications, and irregular shape occurred in 326 and 30 ( χ 2=483.05, P<0.001) , 363 and 106 ( χ 2=374.45, P<0.001) , 158 and 53 ( χ 2=94.24, P<0.001) , and 354 and 52 ( χ 2=491.34, P<0.001) nodules, respectively. The machine learning models built using XGBoost, RF, and SVM had AUC, accuracy, and F1 scores ranging from 0.884~0.925, 0.867~0.873, and 0.844~0.854 respectively on the training set. On the test set, the scores ranged from 0.869~0.923, 0.845~0.871, and 0.803~0.845. Among them, the XGBoost model demonstrated the highest diagnostic performance on the test set. Among the four CT features, irregular shape had the highest absolute SHAP value, positively contributing to PTC diagnosis. Conclusion:XGBoost model showed the highest PTC diagnostic performance. Irregular shape had the greatest positive impact on PTC diagnosis.

Objective:Papillary thyroid carcinoma with a maximum tumor diameter of ≤1 cm was defined as papillary thyroid carcinoma (PTC). To explore the clinical risk factors of central lymph node metastasis (CLNM) in PTC at different locations.Methods:The clinical and pathological data of 1383 cases with solitary PTC in Hangzhou First People’s Hospital were retrospectively analyzed, and they were divided into isthmus group (175 cases), near-isthmus group (95 cases) and lateral lobe group (1113 cases) according to their tumor location. Univariate and multivariate analyses were used to analyze the relationship between gender, age, tumor maximum diameter, Hashimoto’s thyroiditis (HT) and CLNM, and the threshold for the occurrence of CLNM in each group of age and tumor maximum diameter was determined by the area under the receiver operating characteristic (ROC) .Results:The proportion of CLNM in the isthmus group, near-isthmus group and the lateral lobe group were 39.4% (69/175), 35.8% (34/95) and 29.6% (329/1113), respectively ( χ2=7.84, P=0.020). The intra-group comparison showed that there were statistical differences between the isthmus group and the lateral lobe group ( χ2=6.90, P=0.011), and there were no statistical differences between the isthmus group and near-isthmus group ( χ2=0.35, P=0.601), and near-isthmus group and the lateral leaf group ( χ2=1.62, P=0.313). Univariate and multivariate analysis showed that male ( OR: 3.697) and age < 38.5 years ( OR: 4.727) were independent risk factors for CLNM in PTC in the Isthmus Group, while male ( OR: 2.193), without HT ( OR: 1.702), tumor maximum diameter > 6.5 mm ( OR: 2.535) and age < 45.5 years ( OR: 3.030) were independent risk factors for CLNM in PTC in the lateral lobe group. Conclusions:Male sex and age are independent risk factors for CLNM in isthmus and lateral lobe PTC, and uncomplicated HT and tumor maximum diameter are also independent risk factors for CLNM in lateral lobe PTC. The incidence of CLNM in PTC in the isthmus, near-isthmus and lateral lobes decreased sequentially, and PTC in the near isthmus can not be simply regarded as the isthmus or lateral lobe PTC, and the lymph nodes in the central area should be fully evaluated before surgery to provide individualized treatment.

Objective:To explore the latent class of childhood abuse and recent life stress in adolescent depression patients, and its effect on intermittent theta-burst stimulation (iTBS) treatment efficacy.Methods:From August 2023 to February 2024, a total of 60 adolescent patients with depression were enrolled. The Chinese version of the maltreatment and abuse chronology of exposure scale (MACE), adolescent self-rating life events check list (ASLEC), Montgomery-Asberg depression rating scale (MADRS)and suicidal ideation scale 5 (SSI-5)were used to assess all subjects. Using latent class analysis, subjects were divided into different subgroups according to 16 factors of MACE and ASLEC. Brain network analysis was conducted using the Dosenbach brain atlas with 160 regions of interest, which were divided into seven large-scale brain subnetworks: visual network (VN), somatosensory motor network (SMN), dorsal attention network (DAN), ventral attention network (VAN), subcortical network (SCN), frontoparietal network (FPN), and default mode network (DMN). Brain network functional connectivity analysis was performed using the DPABI plugin on MATLAB R2022b platform to compare differences in functional connectivity at both edge and network levels between subjects. Data analysis was conducted using SPSS 27.0 software, employing Shapiro-Wilk test, chi-square test, independent samples t-test, and Mann-Whitney U test. Results:Based on latent class analysis, subjects were divided into high abuse-high stress group ( n=38) and low abuse-high stress group ( n=22). At baseline, the high abuse-high stress group showed significantly higher scores in SSI-5 (6.39±2.26 vs 3.45(0, 5.25)), Z=-3.628, P<0.001) and MADRS item 10 (3.00(2.00, 5.00) vs 2.00(0.75, 3.25), Z=-2.794, P=0.005) compared to the low abuse-high stress group, while there was no statistically significant difference in the total score of MADRS between the two groups (27.77±4.19, 26.59±4.74, t=1.972, P=0.053). There was no statistically significant difference in the D-value of MADRS score before and after treatment between the two groups (8.45±6.03, 7.27±5.99, t=0.729, P=0.469) and the D-value of MADRS item 10 score before and after treatment between the two groups (1.00 (0, 3.00), 1.00 (0, 1.00), Z=-1.189, P=0.234). The high abuse-high group showed significantly weakened functional connectivity at the edge level compared to low abuse-high stress group at baseline ( P<0.05, NBS corrected). In the high abuse-high stress group, the mean FC values in the differential brain regions at baseline showed significant negative correlation with baseline suicidal ideation scores ( r=-0.475, P=0.003). Conclusion:The different patterns of childhood abuse and recent life stress affect the baseline clinical presentation and brain network functional connectivity of adolescent depression patients. However, the high abuse-high stress group and low abuse-high stress group showed similar responses to iTBS treatment.

Objective:To establish three machine learning prediction models based on CT imaging characteristics of papillary thyroid carcinoma (PTC) , and use SHAP (shapley additive explanations) analysis to investigate the contribution of each CT image features in the best model.Methods:CT imaging features in 426 cases of 440 PTCs confirmed pathologically from Jan. 2016 to Jan. 2021 at the affiliated Hangzhou First People’s Hospital of Westlake University Medical School were retrospectively analyzed. compared with 467 cases of 528 nodular goiter (NG) , evaluating the distribution of four CT characteristics: cookie bite sign, enhanced range of narrowing/blur (ERNB) , microcalcifications, and irregular shape. We split the data into 8∶2 ratio for training and testing sets, then constructed three machine learning models using XGBoost, RF, and SVM. Based on AUC, accuracy, F1 score, and other metrics, we selected the best model. Lastly, we used SHAP values to assess each CT feature’s contribution and positive/negative effects on the model.Results:Among 440 PTC and 528 NG nodules, CT features like cookie bite sign, ERNB, microcalcifications, and irregular shape occurred in 326 and 30 ( χ 2=483.05, P<0.001) , 363 and 106 ( χ 2=374.45, P<0.001) , 158 and 53 ( χ 2=94.24, P<0.001) , and 354 and 52 ( χ 2=491.34, P<0.001) nodules, respectively. The machine learning models built using XGBoost, RF, and SVM had AUC, accuracy, and F1 scores ranging from 0.884~0.925, 0.867~0.873, and 0.844~0.854 respectively on the training set. On the test set, the scores ranged from 0.869~0.923, 0.845~0.871, and 0.803~0.845. Among them, the XGBoost model demonstrated the highest diagnostic performance on the test set. Among the four CT features, irregular shape had the highest absolute SHAP value, positively contributing to PTC diagnosis. Conclusion:XGBoost model showed the highest PTC diagnostic performance. Irregular shape had the greatest positive impact on PTC diagnosis.

Objective:Papillary thyroid carcinoma with a maximum tumor diameter of ≤1 cm was defined as papillary thyroid carcinoma (PTC). To explore the clinical risk factors of central lymph node metastasis (CLNM) in PTC at different locations.Methods:The clinical and pathological data of 1383 cases with solitary PTC in Hangzhou First People’s Hospital were retrospectively analyzed, and they were divided into isthmus group (175 cases), near-isthmus group (95 cases) and lateral lobe group (1113 cases) according to their tumor location. Univariate and multivariate analyses were used to analyze the relationship between gender, age, tumor maximum diameter, Hashimoto’s thyroiditis (HT) and CLNM, and the threshold for the occurrence of CLNM in each group of age and tumor maximum diameter was determined by the area under the receiver operating characteristic (ROC) .Results:The proportion of CLNM in the isthmus group, near-isthmus group and the lateral lobe group were 39.4% (69/175), 35.8% (34/95) and 29.6% (329/1113), respectively ( χ2=7.84, P=0.020). The intra-group comparison showed that there were statistical differences between the isthmus group and the lateral lobe group ( χ2=6.90, P=0.011), and there were no statistical differences between the isthmus group and near-isthmus group ( χ2=0.35, P=0.601), and near-isthmus group and the lateral leaf group ( χ2=1.62, P=0.313). Univariate and multivariate analysis showed that male ( OR: 3.697) and age < 38.5 years ( OR: 4.727) were independent risk factors for CLNM in PTC in the Isthmus Group, while male ( OR: 2.193), without HT ( OR: 1.702), tumor maximum diameter > 6.5 mm ( OR: 2.535) and age < 45.5 years ( OR: 3.030) were independent risk factors for CLNM in PTC in the lateral lobe group. Conclusions:Male sex and age are independent risk factors for CLNM in isthmus and lateral lobe PTC, and uncomplicated HT and tumor maximum diameter are also independent risk factors for CLNM in lateral lobe PTC. The incidence of CLNM in PTC in the isthmus, near-isthmus and lateral lobes decreased sequentially, and PTC in the near isthmus can not be simply regarded as the isthmus or lateral lobe PTC, and the lymph nodes in the central area should be fully evaluated before surgery to provide individualized treatment.

Objective:To explore the latent class of childhood abuse and recent life stress in adolescent depression patients, and its effect on intermittent theta-burst stimulation (iTBS) treatment efficacy.Methods:From August 2023 to February 2024, a total of 60 adolescent patients with depression were enrolled. The Chinese version of the maltreatment and abuse chronology of exposure scale (MACE), adolescent self-rating life events check list (ASLEC), Montgomery-Asberg depression rating scale (MADRS)and suicidal ideation scale 5 (SSI-5)were used to assess all subjects. Using latent class analysis, subjects were divided into different subgroups according to 16 factors of MACE and ASLEC. Brain network analysis was conducted using the Dosenbach brain atlas with 160 regions of interest, which were divided into seven large-scale brain subnetworks: visual network (VN), somatosensory motor network (SMN), dorsal attention network (DAN), ventral attention network (VAN), subcortical network (SCN), frontoparietal network (FPN), and default mode network (DMN). Brain network functional connectivity analysis was performed using the DPABI plugin on MATLAB R2022b platform to compare differences in functional connectivity at both edge and network levels between subjects. Data analysis was conducted using SPSS 27.0 software, employing Shapiro-Wilk test, chi-square test, independent samples t-test, and Mann-Whitney U test. Results:Based on latent class analysis, subjects were divided into high abuse-high stress group ( n=38) and low abuse-high stress group ( n=22). At baseline, the high abuse-high stress group showed significantly higher scores in SSI-5 (6.39±2.26 vs 3.45(0, 5.25)), Z=-3.628, P<0.001) and MADRS item 10 (3.00(2.00, 5.00) vs 2.00(0.75, 3.25), Z=-2.794, P=0.005) compared to the low abuse-high stress group, while there was no statistically significant difference in the total score of MADRS between the two groups (27.77±4.19, 26.59±4.74, t=1.972, P=0.053). There was no statistically significant difference in the D-value of MADRS score before and after treatment between the two groups (8.45±6.03, 7.27±5.99, t=0.729, P=0.469) and the D-value of MADRS item 10 score before and after treatment between the two groups (1.00 (0, 3.00), 1.00 (0, 1.00), Z=-1.189, P=0.234). The high abuse-high group showed significantly weakened functional connectivity at the edge level compared to low abuse-high stress group at baseline ( P<0.05, NBS corrected). In the high abuse-high stress group, the mean FC values in the differential brain regions at baseline showed significant negative correlation with baseline suicidal ideation scores ( r=-0.475, P=0.003). Conclusion:The different patterns of childhood abuse and recent life stress affect the baseline clinical presentation and brain network functional connectivity of adolescent depression patients. However, the high abuse-high stress group and low abuse-high stress group showed similar responses to iTBS treatment.

Objective To explore the time cross-lagged effect between carotid intima-media thickness(CIMT)and bone mineral density(BMD)and to assess whether CIMT can be used as an early predictor of osteoporosis.Methods Based on the retrospective cohort study involved,people who underwent health checkups at The First Affiliated Hospital of Xi'an Jiaotong University from January 2019 to December 2023 were selected,and data related to CIMT and BMD were collected.The time-series relationship between CIMT and BMD was explored by cross-lagged modeling.Meanwhile,the effects of CIMT on BMD and its dose-response relationship were assessed using multiple linear regression and restricted cubic spline regression models.Results Analysis of 2 453 study subjects revealed a significant negative relationship between prior physical examination CIMT and subsequent BMD,and this relationship remained significant after controlling for confounders.For every 1-unit increase in CIMT,there was a mean decrease in second-stage BMD T-values of 0.113.Restricted cubic spline regression analysis showed a maximum decrease in BMD T-values of 0.121 for every 1.00 mm increase in CIMT.Conclusion The present study found that there was a significant negative cross-lag effect between CIMT and BMD,and that there was a dose-response between an increase in CIMT and a decrease in BMD.CIMT,as an easy-to-measure indicator,may be a potential marker for early prediction of osteoporosis,especially in the elderly population.

Objective To observe the value of non-contrast CT radiomics extreme gradient boosting(XGBoost)model based on SHAP method for predicting acute necrotic collection(ANC)around acute pancreatitis(AP).Methods A total of 307 patients with initially clinically diagnosed AP were retrospectively enrolled.The optimal radiomics features of peripheral pancreatic tissue volume of interest(VOI)were extracted and screened based on automatic segmentation on the first non-contrast CT,and the evaluation results of modified CT severity index(MCTSI)score of AP severity based on first enhanced CT were recorded.The patients were divided into peripancreatic ANC group(ANC group)and acute peripancreatic fluid collection(APFC)group according to follow-up abdominal CT.XGBoost method was used to construct radiomics model,MCTSI model and combined model for predicting AP ANC based on the optimal radiomics features,MCTSI and their combination,respectively.The diagnostic efficacy of each model was evaluated using 5-fold cross-validation method,and the contribution of each variable to combined model was analyzed with SHAP method.Results Among 307 cases,there were 134 cases in ANC group and 173 in APFC group.Totally 6 optimal radiomics features were screened based on the first non-contrast CT.The area under the receiver operating characteristic curve(AUC)of radiomics model,MCTSI model and combined model was 0.936,0.693 and 0.917,respectively.The AUC of MCTSI model was lower than that of radiomics model and combined model(Z=-3.485,-2.824,both P＜0.01),while no significant difference of AUC was found between radiomics model and combined model(Z=-0.817,P=0.415).The contribution of optimal radiomics features to combined model were all higher than that of MCTSI score.Conclusion Non-contrast CT radiomics XGBoost model could effectively predict AP ANC.

OBJECTIVE To stimulate the debridement and dressing process under the approximately real clinical scene by fluorescence labeling and understand the contamination status of the operators' bodies and their surround-ings so as to improve the strategies.METHODS A total of 41 trainees were recruited from Enterostomal Therapist Nursing Education Program of Peking University School of Medicine and International School of Wound Thera-pists of Peking University First Hospital in 2023.The examination was designed by stimulating the debridement and dressing operations with fluorescence labeling,the orange was used to simulate the wound of the patients,and the pad towel was placed under the orange to represent the contaminated surroundings of the wound.A round le-sion area with diameter of 2 cm was uniformly marked on the surface of the orange peel by the operators,the trai-nees were asked to remove the lesion tissues and take dressings.The fluorescent powders were smeared evenly on the orange and pad towel before the examination,and no fluorescence labeling for the surroundings was guaranteed.The trainees were required to wear hats,masks,isolation gowns and gloves during the operations,and take off the gloves and trace the scope of fluorescent contamination with ultraviolet radiator after the examina-tion.RESULTS The contamination rate was 92.68％for the trainees' bodies,100.00％for their surroundings.The hands and forearms were the most severe contaminated body sites,and the contamination rates were 85.37％(35/41)and 34.15％(14/41),respectively.The downside of the pad towel was the most frequently contaminated area of the surroundings,with the proportion of 90.24％(37/41);the right side of the pad towel was the area with the contamination disseminated farthest,with the median distance of dissemination 13.50 cm.In addition,the dressing change carts of 75.61％(31/41)of the trainees were contaminated.CONCLUSIONS The operations of de-bridement and dressing change may lead to varying degrees of contamination of their bodies and surroundings.It is necessary to strengthen the hand hygiene and protective isolation during the process of dressing change and pay attention to the disinfection of the dressing change carts so as to minimize the risk of hospital-associated infec-tions.