Objective To observe the value of pituitary radiomics and MRI features combined model for predicting growth hormone(GH)status in pediatric short stature.Methods Totally 300 children with short stature were enrolled as training set,while other 73 cases were taken as external validation set.Based on growth hormone stimulation test,the children were divided into GH deficiency(GHD)group(n=228)and non-GHD group(n=145).The training set included 196 cases in GHD subgroup and 104 cases in non-GHD subgroup,while the validation set included 32 cases in GHD subgroup and 41 cases in non-GHD subgroup.Radiomics features of pituitary were extracted from T1WI.The key features were selected using least absolute shrinkage and selection operator(LASSO)regression,and machine learning models were subsequently constructed using support vector machine(SVM),logistic regression(LR),naive Bayes(NB)and K-nearest neighbor(KNN),respectively.Then combined models were constructed combining with MRI features,and the efficacy of each model was evaluated.Results The area under the curve(AUC)of SVM,LR,NB,and KNN radiomics model for predicting GH status in pediatric short stature was 0.860,0.831,0.838 and 0.901 in training set,0.788,0.829,0.823 and 0.770 in validation set,while of the relative combined SVM,LR,NB and KNN model was 0.924,0.903,0.859 and 0.920 in training set,and 0.827,0.881,0.836 and 0.718 in validation set.LRcombined model had the best overall performance,with sensitivity of 84.94％,specificity of 80.56％and accuracy of 83.61％in training set,and 80.95％,72.22％and 80.00％in validation set,respectively.Conclusion Pituitary radiomics and MRI features combined model could effectively predict GH status in pediatric short stature.

Objective To explore the incidence and its influencing factors of transient severe motion(TSM)in the arterial phase of gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid(Gd-EOB-DTPA)enhanced MRI.Methods The databases of China National Knowledge Network(CNKI),VIP,Wanfang,PubMed,and Embase were searched for studies on the incidence and influencing factors of TSM,and the search time was from the establishment of the databases to October 2024.Meta-analysis was performed via Stata 17.0 software.Results A total of 30 papers(33 studies)were finally included,totaling 12 565 patients.Meta-analysis results showed that the incidence of TSM in the arterial phase of Gd-EOB-DTPA enhanced MRI was 13.0％.The risk factors for TSM included age[odds ratio(OR)=1.03;95％confidence interval(CI)1.02-1.05;P＜0.001),chronic obstructive pulmonary disease(COPD)(OR=4.21;95％CI 1.76-10.09;P=0.001),and moderate-to-severe pleural effusion(OR=3.34;95％CI 1.69-6.63;P=0.001),while a previous usage history of Gd-EOB-DTPA(OR=0.56;95％CI 0.39-0.81;P=0.002)was a protective factor of TSM.Conclusion The incidence of TSM in the arterial phase of Gd-EOB-DTPA enhanced MRI is relatively high.Age,COPD,moderate-to-severe pleural effusion are risk factors for TSM,while the previous usage history of Gd-EOB-DTPA is a protective factor for TSM.

Objective To explore the incidence and its influencing factors of transient severe motion(TSM)in the arterial phase of gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid(Gd-EOB-DTPA)enhanced MRI.Methods The databases of China National Knowledge Network(CNKI),VIP,Wanfang,PubMed,and Embase were searched for studies on the incidence and influencing factors of TSM,and the search time was from the establishment of the databases to October 2024.Meta-analysis was performed via Stata 17.0 software.Results A total of 30 papers(33 studies)were finally included,totaling 12 565 patients.Meta-analysis results showed that the incidence of TSM in the arterial phase of Gd-EOB-DTPA enhanced MRI was 13.0％.The risk factors for TSM included age[odds ratio(OR)=1.03;95％confidence interval(CI)1.02-1.05;P＜0.001),chronic obstructive pulmonary disease(COPD)(OR=4.21;95％CI 1.76-10.09;P=0.001),and moderate-to-severe pleural effusion(OR=3.34;95％CI 1.69-6.63;P=0.001),while a previous usage history of Gd-EOB-DTPA(OR=0.56;95％CI 0.39-0.81;P=0.002)was a protective factor of TSM.Conclusion The incidence of TSM in the arterial phase of Gd-EOB-DTPA enhanced MRI is relatively high.Age,COPD,moderate-to-severe pleural effusion are risk factors for TSM,while the previous usage history of Gd-EOB-DTPA is a protective factor for TSM.

Objective To observe the value of pituitary radiomics and MRI features combined model for predicting growth hormone(GH)status in pediatric short stature.Methods Totally 300 children with short stature were enrolled as training set,while other 73 cases were taken as external validation set.Based on growth hormone stimulation test,the children were divided into GH deficiency(GHD)group(n=228)and non-GHD group(n=145).The training set included 196 cases in GHD subgroup and 104 cases in non-GHD subgroup,while the validation set included 32 cases in GHD subgroup and 41 cases in non-GHD subgroup.Radiomics features of pituitary were extracted from T1WI.The key features were selected using least absolute shrinkage and selection operator(LASSO)regression,and machine learning models were subsequently constructed using support vector machine(SVM),logistic regression(LR),naive Bayes(NB)and K-nearest neighbor(KNN),respectively.Then combined models were constructed combining with MRI features,and the efficacy of each model was evaluated.Results The area under the curve(AUC)of SVM,LR,NB,and KNN radiomics model for predicting GH status in pediatric short stature was 0.860,0.831,0.838 and 0.901 in training set,0.788,0.829,0.823 and 0.770 in validation set,while of the relative combined SVM,LR,NB and KNN model was 0.924,0.903,0.859 and 0.920 in training set,and 0.827,0.881,0.836 and 0.718 in validation set.LRcombined model had the best overall performance,with sensitivity of 84.94％,specificity of 80.56％and accuracy of 83.61％in training set,and 80.95％,72.22％and 80.00％in validation set,respectively.Conclusion Pituitary radiomics and MRI features combined model could effectively predict GH status in pediatric short stature.

The relationship between chronic psychological stress and tumorigenesis has been well defined in epidemiological studies; however, the underlying mechanism remains underexplored. In this study, we discovered that impaired macrophage phagocytosis contributed to the psychological stress-evoked tumor susceptibility, and the stress hormone glucocorticoid (GC) was identified as a principal detrimental factor. Mechanistically, GC disturbed the balance of the "eat me" signal receptor (low-density lipoprotein receptor-related protein-1, LRP1) and the "don't eat me" signal receptor (signal regulatory protein alpha, SIRPα). Further analysis revealed that GC led to a direct, glucocorticoid receptor (GR)-dependent trans-repression of LRP1 expression, and the repressed LRP1, in turn, resulted in the elevated gene level of SIRPα by down-regulating miRNA-4695-3p. These data collectively demonstrate that stress induces the imbalance of the LRP1/SIRPα axis and entails the disturbance of tumor cell clearance by macrophages. Our findings provide the mechanistic insight into psychological stress-evoked tumor susceptibility and indicate that the balance of LRP1/SIRPα axis may serve as a potential therapeutic strategy for tumor treatment.

Objective: Pervious RT-PCR results revealed the possibility of effective regulation channel of Xiaoyao San in treating rats of syndrome of liver invading the spleen. This experiment was designed to explore CIS rats’ immunohistochemistry findings in hippocampal subregion CA1 and amygdaloid subregion BLA after suppressing both amygdaloid AMPA receptors by microinjection of CNQX. To compare Xiaoyao San group with CNQX group, and to analysis of these findings may prove the possibility of effective regulation channel of Xiaoyao san treating this syndrome. Methods: 75 male SD rats were randomly divided into 5 equal groups: normal group, CIS group, sham-operation group, CNQX group and Xiaoyao San group. The number of GluR2 positive cells in hippocampal subregion CA1 and amygdaloid subregion BLA in these 5 groups were examined by immunohistochemistry test. Results: Compared with control group, the number of GluR2 positive cells decreased in hippocampal subregion CA1. Statistical analysis showed that no difference existed in control, CNQX and Xiaoyao San groups in CA1 region. Except CNQX group, tendency of changes were contradictory in BLA and CA1 region. In addition, the least in BLA in CNQX group. This finding revealed that Xiaoyao San may act the same as CNQX, thus Xiaoyao San afforded effective protection against this depression syndrome through suppression of both amygdaloid excitability. Conclusion: The balance coordination between hippocampus and amygdala may be the key in transformation from adaption to damage in a state of stress, was one of the central mechanisms of liver governing smoothing qi flow (LGSQF) on regulating the stress. Xiaoyao San may effectively regulate the balance of the excitability of hippocampus and amygdala. This hypothesis may reveal the regulation channel on Xiaoyao San affording effective protection against liver invading the spleen syndrome.