Objective:To investigate the effects of oral propranolol on the heart rate and blood glucose levels in children with hemangiomas receiving hospital care.Methods:A total of 259 children [77 males and 182 females, aged (125.2±85.4) days, weighted (6.3±1.6) kg], who were treated with oral propranolol for the first time under hospital care from January 2013 to August 2021, were retrospectively analyzed. After fasting, the patients administered the same dose of propranolol once daily (0.5-2.5 mg/kg). Fasting blood glucose and heart rate were measured in all children before propranolol administration and after 2 h. Heart rate was measured at 1, 3 and 6 h after propranolol administration for three consecutive days. Adverse reactions were observed and recorded.Results:Within three days of oral propranolol administration, the heart rates at 1, 3 and 6 h after propranolol administration were lower than those before propranolol administration (all P<0.001). Within three days after taking propranolol and 2 h after taking propranolol daily, blood glucose levels reduced in all children (all P<0.001). During the hospitalization period, the incidence of adverse reactions was 5.4% (14/259), including lesion ulcers in four cases, upper respiratory tract infection with fever in four, reduced eating in two, nausea and vomiting in one, lethargy in one, sinus tachycardia in one, and hyperkalemia in one. No serious adverse reactions were life-threatening. Conclusion:After oral administration of propranolol, the heart rate and blood sugar of the children decrease to different degrees compared with those before propranolol administration.

Objective To observe the value of T1WI deep learning models for evaluating brain injury of neonatal hyperbilirubinemia(NHB).Methods Totally 106 NHB(defined as newborns with neonatal behavioral neurological assessment≤37,NHB group)and 119 non-NHB newborns(control group)in center A,as well as 34 NHB and 18 non-NHB newborns in center B were collected.ROI was delineated based on bilateral globus pallidus on T1WI.A total of 690 slices were obtained by preprocessing data of center A and then were divided into training set(n=552)and test set(n=138)at a ratio of 8∶2.ResNet18,DenseNet121 and EfficientNetB0 models was established,respectively.External validation was performed based on data of center B.Receiver operating characteristic curves were drawn,area under the curves(AUC)were calculated to evaluate the performance of models for assessing NHB brain injuries compared with traditional visual analysis.Results The AUC of ResNet18 model for evaluating NHB brain injury was 0.910-0.990,significantly higher than that of DenseNet121 model(0.710-0.820)and EfficientNetB0 model(0.640-0.740)(all P＜0.001).The accuracy,sensitivity and precision of ResNet18 model for evaluating NHB brain injury were all higher than those of visual analysis(all P＜0.05),while no significant difference of specificity was found between the above two(P＞0.05).Conclusion T1WI ResNet18 model showed excellent performance and generalization ability for evaluating NHB brain injury.

Objective:To investigate the effects of oral propranolol on the heart rate and blood glucose levels in children with hemangiomas receiving hospital care.Methods:A total of 259 children [77 males and 182 females, aged (125.2±85.4) days, weighted (6.3±1.6) kg], who were treated with oral propranolol for the first time under hospital care from January 2013 to August 2021, were retrospectively analyzed. After fasting, the patients administered the same dose of propranolol once daily (0.5-2.5 mg/kg). Fasting blood glucose and heart rate were measured in all children before propranolol administration and after 2 h. Heart rate was measured at 1, 3 and 6 h after propranolol administration for three consecutive days. Adverse reactions were observed and recorded.Results:Within three days of oral propranolol administration, the heart rates at 1, 3 and 6 h after propranolol administration were lower than those before propranolol administration (all P<0.001). Within three days after taking propranolol and 2 h after taking propranolol daily, blood glucose levels reduced in all children (all P<0.001). During the hospitalization period, the incidence of adverse reactions was 5.4% (14/259), including lesion ulcers in four cases, upper respiratory tract infection with fever in four, reduced eating in two, nausea and vomiting in one, lethargy in one, sinus tachycardia in one, and hyperkalemia in one. No serious adverse reactions were life-threatening. Conclusion:After oral administration of propranolol, the heart rate and blood sugar of the children decrease to different degrees compared with those before propranolol administration.

Objective To observe the value of T1WI deep learning models for evaluating brain injury of neonatal hyperbilirubinemia(NHB).Methods Totally 106 NHB(defined as newborns with neonatal behavioral neurological assessment≤37,NHB group)and 119 non-NHB newborns(control group)in center A,as well as 34 NHB and 18 non-NHB newborns in center B were collected.ROI was delineated based on bilateral globus pallidus on T1WI.A total of 690 slices were obtained by preprocessing data of center A and then were divided into training set(n=552)and test set(n=138)at a ratio of 8∶2.ResNet18,DenseNet121 and EfficientNetB0 models was established,respectively.External validation was performed based on data of center B.Receiver operating characteristic curves were drawn,area under the curves(AUC)were calculated to evaluate the performance of models for assessing NHB brain injuries compared with traditional visual analysis.Results The AUC of ResNet18 model for evaluating NHB brain injury was 0.910-0.990,significantly higher than that of DenseNet121 model(0.710-0.820)and EfficientNetB0 model(0.640-0.740)(all P＜0.001).The accuracy,sensitivity and precision of ResNet18 model for evaluating NHB brain injury were all higher than those of visual analysis(all P＜0.05),while no significant difference of specificity was found between the above two(P＞0.05).Conclusion T1WI ResNet18 model showed excellent performance and generalization ability for evaluating NHB brain injury.

Purpose To analyze the correlation between quantitative parameters of spectral CT and the mutation status of epidermal growth factor receptor(EGFR)and anaplastic lymphoma kinase(ALK)genes in solid lung adenocarcinoma,in order to predict the expression of gene mutation in solid lung adenocarcinoma by combining spectral parameters with clinical indicators.Materials and Methods The imaging and clinical data of 86 patients in the First Affiliated Hospital of Xinxiang Medical College pathologically confirmed with lung adenocarcinoma who underwent energy spectral CT plain and enhanced scans from May 2020 to May 2022 were retrospectively collected.According to the mutation status of EGFR and ALK genes,all patietns were divided into mutation group(43 cases)and wild group(43 cases).The single-energy CT values(including 40 keV,70 keV and 100 keV),slope of energy spectrum curve,effective atomic number during plain scan,iodine concentration in arterial and venous phases,water concentration and iodine concentration in arteries at the same level were obtained,and standardized iodine base value was also calculated.Statistically significant parameters were used to construct the prediction model,and the receiver operating characteristic curve was performed to evaluate the prediction efficiency of the model.Results There were statistically significant differences in gender and smoking status between the EGFR mutation group and the wild-type group(χ2=5.628,P=0.018;χ2=4.214,P=0.040).There were statistically significant differences in plain scan effective atomic number and energy spectrum slope,arterial phase 40 keV,70 keV and 100 keV single-energy CT values,40 keV single-energy CT values in the venous phase,the slope of the arteriovenous dual-phase energy spectrum and the standardized iodine base value between the two groups(t=2.067-4.394,all P<0.05).Logistic regression analysis showed that normalized iodine base value and energy spectrum slope in venous phase were the independent predictors of EGFR gene mutation status.There were no significant differences in quantitative parameters of plain scan and arterial phase energy spectrum CT between the ALK mutant group and the wild-type group(P>0.05).There was statistically significant difference in water base value of venous phase between the two groups(t=2.058,P=0.043).Conclusion The quantitative features of spectral CT may be correlated with the mutation status of EGFR and ALK genes in solid lung adenocarcinoma,and the Logistic regression model based on the combination of quantitative features of spectral CT and clinical features has certain value in predicting EGFR gene mutation.